diff --git a/.github/workflows/branch-docs.yml b/.github/workflows/branch-docs.yml
index dde4f03b73..ef5c437c57 100644
--- a/.github/workflows/branch-docs.yml
+++ b/.github/workflows/branch-docs.yml
@@ -7,7 +7,7 @@ on:
 
 jobs:
   docbuild:
-    if: "contains(github.event.head_commit.message, '[makedocs]') && (github.repository_owner != 'ActivitySim') && (github.ref_name != 'develop')"
+    if: "github.event_name == 'workflow_dispatch' || (contains(github.event.head_commit.message, '[makedocs]') && (github.repository_owner != 'ActivitySim') && (github.ref_name != 'develop'))"
     # develop branch docs are built at the end of the core test workflow, regardless of repository owner or commit message flags
     name: ubuntu-latest py3.10
     runs-on: ubuntu-latest
@@ -21,39 +21,21 @@ jobs:
         with:
           fetch-depth: 0  # get all tags, lets setuptools_scm do its thing
 
-      - name: Setup Miniforge
-        uses: conda-incubator/setup-miniconda@v2
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
         with:
-          miniforge-version: latest
-          python-version: "3.10"
-          activate-environment: docbuild
-          auto-activate-base: false
-          auto-update-conda: false
+          version: "0.7.12"
+          enable-cache: true
+          cache-dependency-glob: "uv.lock"
 
-      - name: Set cache date for year and month
-        run: echo "DATE=$(date +'%Y%m')" >> $GITHUB_ENV
-
-      - uses: actions/cache@v3
+      - name: "Set up Python"
+        uses: actions/setup-python@v5
         with:
-          path: /usr/share/miniconda3/envs/docbuild
-          key: linux-64-conda-${{ hashFiles('conda-environments/docbuild.yml') }}-${{ env.DATE }}-${{ env.CACHE_NUMBER }}
-        id: cache
-
-      - name: Update environment
-        run: conda env update --verbose -n docbuild -f conda-environments/docbuild.yml
-        if: steps.cache.outputs.cache-hit != 'true'
+          python-version-file: ".python-version"
 
       - name: Install activitysim
         run: |
-          python -m pip install .
-
-      - name: Conda checkup
-        run: |
-          conda info -a
-          conda list
-          echo REPOSITORY ${{ github.repository }}
-          echo REF ${{ github.ref }}
-          echo REF_NAME ${{ github.ref_name }}
+          uv sync --locked --dev
 
       - name: Build the docs
         run: |
diff --git a/.github/workflows/core_tests.yml b/.github/workflows/core_tests.yml
index f3fe380ae2..4811282783 100644
--- a/.github/workflows/core_tests.yml
+++ b/.github/workflows/core_tests.yml
@@ -17,9 +17,6 @@ env:
 jobs:
   foundation:
 
-    strategy:
-      matrix:
-        python-version: ["3.10"]
     defaults:
       run:
         shell: bash -l {0}
@@ -28,67 +25,46 @@ jobs:
     steps:
       - uses: actions/checkout@v4
 
-      - name: Setup Miniforge
-        uses: conda-incubator/setup-miniconda@v3
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
         with:
-          auto-update-conda: true
-          miniforge-version: latest
-          mamba-version: "2.0.5"
-          conda-solver: classic
-          conda-remove-defaults: true
-          activate-environment: asim-test
-          python-version: ${{ matrix.python-version }}
-
-      - name: Set cache date for year and month
-        run: echo "DATE=$(date +'%Y%m')" >> $GITHUB_ENV
-
-      - uses: actions/cache@v4
-        with:
-          path: /usr/share/miniconda3/envs/asim-test
-          key: linux-64-conda-${{ hashFiles('conda-environments/github-actions-tests.yml') }}-${{ env.DATE }}-${{ env.CACHE_NUMBER }}
-        id: cache
+          version: "0.7.12"
+          enable-cache: true
+          cache-dependency-glob: "uv.lock"
 
-      - name: Update environment
-        run: |
-          conda env update -n asim-test -f conda-environments/github-actions-tests.yml
-        if: steps.cache.outputs.cache-hit != 'true'
+      - name: "Set up Python"
+        uses: actions/setup-python@v5
+        with:
+          python-version-file: ".python-version"
 
       - name: Install activitysim
-        # installing without dependencies is faster, we trust that all needed dependencies
-        # are in the conda environment defined above.  Also, this avoids pip getting
-        # confused and reinstalling tables (pytables).
         run: |
-          python -m pip install -e . --no-deps
-
-      - name: Conda checkup
-        run: |
-          conda info -a
-          conda list
+          uv sync --locked --only-group github-action
 
       - name: Lint with Black
         run: |
           # stop the build if there are problems
-          black --check --diff .
+          uv run black --check --diff .
 
       - name: Test activitysim.core
         run: |
-          python -m pytest --pyargs activitysim.core
+          uv run pytest --pyargs activitysim.core
 
       - name: Test activitysim.abm.models
         run: |
-          python -m pytest --pyargs activitysim.abm.models
+          uv run pytest --pyargs activitysim.abm.models
 
       - name: Test activitysim.abm.test
         run: |
-          python -m pytest --pyargs activitysim.abm.test
+          uv run pytest --pyargs activitysim.abm.test
 
       - name: Test activitysim.cli
         run: |
-          python -m pytest --pyargs activitysim.cli
+          uv run pytest --pyargs activitysim.cli
 
       - name: Test activitysim.examples.test
         run: |
-          python -m pytest --pyargs activitysim.examples.test
+          uv run pytest --pyargs activitysim.examples.test
 
 
   cross-platform:
@@ -115,70 +91,51 @@ jobs:
     steps:
       - uses: actions/checkout@v4
 
-      - name: Setup Miniforge
-        uses: conda-incubator/setup-miniconda@v3
-        with:
-          auto-update-conda: true
-          miniforge-version: latest
-          mamba-version: "2.0.5"
-          conda-solver: classic
-          conda-remove-defaults: true
-          activate-environment: asim-test
-          python-version: ${{ matrix.python-version }}
-
-      - name: Set cache date for year and month
-        run: echo "DATE=$(date +'%Y%m')" >> $GITHUB_ENV
-
-      - uses: actions/cache@v4
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
         with:
-          path: ${{ env.CONDA }}/envs
-          key: ${{ matrix.label }}-conda-${{ hashFiles('conda-environments/github-actions-tests.yml') }}-${{ env.DATE }}-${{ env.CACHE_NUMBER }}
-        id: cache
+          version: "0.7.12"
+          enable-cache: true
+          cache-dependency-glob: "uv.lock"
 
-      - name: Update environment
-        run: |
-          conda env update -n asim-test -f conda-environments/github-actions-tests.yml
-        if: steps.cache.outputs.cache-hit != 'true'
+      - name: "Set up Python"
+        uses: actions/setup-python@v5
+        with:
+          python-version-file: ".python-version"
 
       - name: Install activitysim
-        # installing without dependencies is faster, we trust that all needed dependencies
-        # are in the conda environment defined above.  Also, this avoids pip getting
-        # confused and reinstalling tables (pytables).
         run: |
-          python -m pip install -e . --no-deps
-
-      - name: Conda checkup
-        run: |
-          conda info -a
-          conda list
+          uv sync --locked --only-group github-action
 
       - name: Lint with Black
         run: |
           # stop the build if there are problems
-          black --check --diff .
+          uv run black --check --diff .
 
       - name: Test activitysim.core
         run: |
-          python -m pytest --pyargs activitysim.core
+          uv run pytest --pyargs activitysim.core
 
       - name: Test activitysim.abm.models
         run: |
-          python -m pytest --pyargs activitysim.abm.models
+          uv run pytest --pyargs activitysim.abm.models
 
       - name: Test activitysim.abm.test
         run: |
-          python -m pytest --pyargs activitysim.abm.test
+          uv run pytest --pyargs activitysim.abm.test
 
       - name: Test activitysim.cli
         run: |
-          python -m pytest --pyargs activitysim.cli
+          uv run pytest --pyargs activitysim.cli
 
+      - run: uv run pytest test/test_skim_name_conflicts.py
+      - run: uv run pytest test/random_seed/test_random_seed.py
 
   builtin_regional_models:
     needs: foundation
     env:
       python-version: "3.10"
-      label: linux-64
+      label: win-64
     strategy:
       matrix:
         region:
@@ -194,48 +151,27 @@ jobs:
       fail-fast: false
     defaults:
       run:
-        shell: bash -l {0}
+        shell: pwsh
     name: ${{ matrix.region }}
-    runs-on: ubuntu-latest
+    runs-on: windows-latest
     steps:
       - uses: actions/checkout@v4
 
-      - name: Setup Miniforge
-        uses: conda-incubator/setup-miniconda@v3
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
         with:
-          auto-update-conda: true
-          miniforge-version: latest
-          mamba-version: "2.0.5"
-          conda-solver: classic
-          conda-remove-defaults: true
-          activate-environment: asim-test
-          python-version: ${{ env.python-version }}
-
-      - name: Set cache date for year and month
-        run: echo "DATE=$(date +'%Y%m')" >> $GITHUB_ENV
-
-      - uses: actions/cache@v4
-        with:
-          path: ${{ env.CONDA }}/envs
-          key: ${{ env.label }}-conda-${{ hashFiles('conda-environments/github-actions-tests.yml') }}-${{ env.DATE }}-${{ env.CACHE_NUMBER }}
-        id: cache
+          version: "0.7.12"
+          enable-cache: true
+          cache-dependency-glob: "uv.lock"
 
-      - name: Update environment
-        run: |
-          conda env update -n asim-test -f conda-environments/github-actions-tests.yml
-        if: steps.cache.outputs.cache-hit != 'true'
+      - name: "Set up Python"
+        uses: actions/setup-python@v5
+        with:
+          python-version-file: ".python-version"
 
       - name: Install activitysim
-        # installing without dependencies is faster, we trust that all needed dependencies
-        # are in the conda environment defined above.  Also, this avoids pip getting
-        # confused and reinstalling tables (pytables).
-        run: |
-          python -m pip install -e . --no-deps
-
-      - name: Conda checkup
         run: |
-          conda info -a
-          conda list
+          uv sync --locked --only-group github-action
 
       # TODO: Cache sharrow compiled flows?  The contents of __pycache__ appear to
       #       be ignored, so this is not working as expected right now
@@ -262,72 +198,49 @@ jobs:
 
       - name: Test ${{ matrix.region }}
         run: |
-          python -m pytest activitysim/examples/${{ matrix.region }}/test --durations=0
+          uv run pytest activitysim/examples/${{ matrix.region }}/test --durations=0
 
   external_regional_models:
     needs: foundation
     env:
       python-version: "3.10"
-      label: linux-64
+      label: win-64
     strategy:
       matrix:
         include:
           - region: Standard 1-Zone Example (MTC)
             region-org: ActivitySim
             region-repo: activitysim-prototype-mtc
-            region-branch: extended
+            region-branch: pandas2
           - region: Standard 2-Zone Example (SANDAG)
             region-org: ActivitySim
             region-repo: sandag-abm3-example
-            region-branch: main
+            region-branch: pandas2
       fail-fast: false
     defaults:
       run:
-        shell: bash -l {0}
+        shell: pwsh
     name: ${{ matrix.region }}
-    runs-on: ubuntu-latest
+    runs-on: windows-latest
     steps:
       - name: Checkout ActivitySim
         uses: actions/checkout@v4
 
-      - name: Setup Miniforge
-        uses: conda-incubator/setup-miniconda@v3
-        with:
-          auto-update-conda: true
-          miniforge-version: latest
-          mamba-version: "2.0.5"
-          conda-solver: classic
-          conda-remove-defaults: true
-          activate-environment: asim-test
-          python-version: ${{ env.python-version }}
-
-      - name: Set cache date for year and month
-        run: echo "DATE=$(date +'%Y%m')" >> $GITHUB_ENV
-
-      - uses: actions/cache@v4
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
         with:
-          path: |
-            ${{ env.CONDA }}/envs
-            ~/.cache/ActivitySim
-          key: ${{ env.label }}-conda-${{ hashFiles('conda-environments/github-actions-tests.yml') }}-${{ env.DATE }}-${{ env.CACHE_NUMBER }}
-        id: cache
+          version: "0.7.12"
+          enable-cache: true
+          cache-dependency-glob: "uv.lock"
 
-      - name: Update environment
-        run: |
-          conda env update -n asim-test -f conda-environments/github-actions-tests.yml
-        if: steps.cache.outputs.cache-hit != 'true'
+      - name: "Set up Python"
+        uses: actions/setup-python@v5
+        with:
+          python-version-file: ".python-version"
 
       - name: Install activitysim
-        # installing without dependencies is faster, we trust that all needed dependencies
-        # are in the conda environment defined above.  Also, this avoids pip getting
-        # confused and reinstalling tables (pytables).
         run: |
-          python -m pip install . --no-deps
-
-      - name: Conda checkup
-        run: |
-          conda info -a
-          conda list
+          uv sync --locked --only-group github-action
 
       - name: Checkout Example
         uses: actions/checkout@v4
@@ -339,119 +252,74 @@ jobs:
       - name: Test ${{ matrix.region }}
         run: |
           cd ${{ matrix.region-repo }}/test
-          python -m pytest .
+          uv run pytest .
 
   random_seed_generation:
     needs: foundation
     env:
       python-version: "3.10"
-      label: linux-64
+      label: win-64
     defaults:
       run:
-        shell: bash -l {0}
+        shell: pwsh
     name: random_seed_generation_test
-    runs-on: ubuntu-latest
+    runs-on: windows-latest
 
     steps:
       - uses: actions/checkout@v4
 
-      - name: Setup Miniforge
-        uses: conda-incubator/setup-miniconda@v3
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
         with:
-          auto-update-conda: true
-          miniforge-version: latest
-          mamba-version: "2.0.5"
-          conda-solver: classic
-          conda-remove-defaults: true
-          activate-environment: asim-test
-          python-version: ${{ env.python-version }}
-
-      - name: Set cache date for year and month
-        run: echo "DATE=$(date +'%Y%m')" >> $GITHUB_ENV
-
-      - uses: actions/cache@v4
-        with:
-          path: ${{ env.CONDA }}/envs
-          key: ${{ env.label }}-conda-${{ hashFiles('conda-environments/github-actions-tests.yml') }}-${{ env.DATE }}-${{ env.CACHE_NUMBER }}
-        id: cache
+          version: "0.7.12"
+          enable-cache: true
+          cache-dependency-glob: "uv.lock"
 
-      - name: Update environment
-        run: |
-          conda env update -n asim-test -f conda-environments/github-actions-tests.yml
-        if: steps.cache.outputs.cache-hit != 'true'
+      - name: "Set up Python"
+        uses: actions/setup-python@v5
+        with:
+          python-version-file: ".python-version"
 
       - name: Install activitysim
-        # installing without dependencies is faster, we trust that all needed dependencies
-        # are in the conda environment defined above.  Also, this avoids pip getting
-        # confused and reinstalling tables (pytables).
-        run: |
-          python -m pip install -e . --no-deps
-
-      - name: Conda checkup
         run: |
-          conda info -a
-          conda list
+          uv sync --locked --only-group github-action
 
       - name: Test Random Seed Generation
         run: |
-          python -m pytest test/random_seed/test_random_seed.py --durations=0
+          uv run pytest test/random_seed/test_random_seed.py --durations=0
 
   estimation_mode:
     needs: foundation
     env:
       python-version: "3.10"
-      label: linux-64
+      label: win-64
     defaults:
       run:
-        shell: bash -l {0}
+        shell: pwsh
     name: Estimation Mode Unit Tests
-    runs-on: ubuntu-latest
+    runs-on: windows-latest
     steps:
       - uses: actions/checkout@v4
 
-      - name: Setup Miniforge
-        uses: conda-incubator/setup-miniconda@v3
-        with:
-          auto-update-conda: true
-          miniforge-version: latest
-          mamba-version: "2.0.5"
-          conda-solver: classic
-          conda-remove-defaults: true
-          activate-environment: asim-test
-          python-version: ${{ env.python-version }}
-
-      - name: Set cache date for year and month
-        run: echo "DATE=$(date +'%Y%m')" >> $GITHUB_ENV
-
-      - uses: actions/cache@v4
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
         with:
-          path: ${{ env.CONDA }}/envs
-          key: ${{ env.label }}-conda-${{ hashFiles('conda-environments/github-actions-tests.yml') }}-${{ env.DATE }}-${{ env.CACHE_NUMBER }}
-        id: cache
+          version: "0.7.12"
+          enable-cache: true
+          cache-dependency-glob: "uv.lock"
 
-      - name: Update environment
-        run: |
-          conda env update -n asim-test -f conda-environments/github-actions-tests.yml
-        if: steps.cache.outputs.cache-hit != 'true'
-
-      - name: Install Larch
-        run: mamba install "larch>=5.7.1"
+      - name: "Set up Python"
+        uses: actions/setup-python@v5
+        with:
+          python-version-file: ".python-version"
 
       - name: Install activitysim
-        # installing without dependencies is faster, we trust that all needed dependencies
-        # are in the conda environment defined above.  Also, this avoids pip getting
-        # confused and reinstalling tables (pytables).
-        run: |
-          python -m pip install -e . --no-deps
-
-      - name: Conda checkup
         run: |
-          conda info -a
-          conda list
+          uv sync --locked --only-group github-action
 
       - name: Test Estimation Mode
         run: |
-          python -m pytest activitysim/estimation/test/test_larch_estimation.py --durations=0
+          uv run pytest activitysim/estimation/test/test_larch_estimation.py --durations=0
 
   develop-docbuild:
     needs: foundation
@@ -467,30 +335,19 @@ jobs:
       - uses: actions/checkout@v4
         with:
           fetch-depth: 0  # get all tags, lets setuptools_scm do its thing
-      - name: Set up Python 3.10
-        uses: actions/setup-python@v5
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
         with:
-          python-version: "3.10"
-      - name: Install dependencies
-        uses: conda-incubator/setup-miniconda@v3
+          version: "0.7.12"
+          enable-cache: true
+          cache-dependency-glob: "uv.lock"
+      - name: "Set up Python"
+        uses: actions/setup-python@v5
         with:
-          miniforge-version: latest
-          mamba-version: "2.0.5"
-          conda-remove-defaults: true
-          environment-file: conda-environments/docbuild.yml
-          python-version: "3.10"
-          activate-environment: docbuild
-          auto-activate-base: false
-          auto-update-conda: false
+          python-version-file: ".python-version"
       - name: Install activitysim
         run: |
-          python -m pip install .
-      - name: Conda checkup
-        run: |
-          conda info -a
-          conda list
-          echo ${{ github.repository }}
-          echo ${{ github.ref_name }}
+          uv sync --locked --only-group github-action
       - name: localize version switcher
         run: |
           python .github/workflows/localize-base-urls.py docs/_static/switcher.json
diff --git a/.github/workflows/deployment.yml b/.github/workflows/deployment.yml
index 10652bba4d..879e6ff027 100644
--- a/.github/workflows/deployment.yml
+++ b/.github/workflows/deployment.yml
@@ -89,31 +89,19 @@ jobs:
         with:
           name: releases
           path: dist
-      - name: Set up Python 3.10
-        uses: actions/setup-python@v5
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
         with:
-          python-version: "3.10"
-      - name: Install dependencies
-        uses: conda-incubator/setup-miniconda@v2
+          version: "0.7.12"
+          enable-cache: true
+          cache-dependency-glob: "uv.lock"
+      - name: "Set up Python"
+        uses: actions/setup-python@v5
         with:
-          miniforge-variant: Mambaforge
-          miniforge-version: latest
-          use-mamba: true
-          environment-file: conda-environments/docbuild.yml
-          python-version: "3.10"
-          activate-environment: docbuild
-          auto-activate-base: false
-          auto-update-conda: false
+          python-version-file: ".python-version"
       - name: Install activitysim
         run: |
-          python -m pip install dist/activitysim-*.whl
-      - name: Conda checkup
-        run: |
-          conda info -a
-          conda list
-          echo REPOSITORY ${{ github.repository }}
-          echo REF ${{ github.ref }}
-          echo REF_NAME ${{ github.ref_name }}
+          uv sync --locked --dev
       - name: Build the docs
         run: |
           cd docs
diff --git a/.gitignore b/.gitignore
index ff98b3c68d..4cda55136e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -49,6 +49,9 @@ coverage.xml
 .project
 .pydevproject
 
+# ides
+.vscode/
+
 # Rope
 .ropeproject
 
diff --git a/.python-version b/.python-version
new file mode 100644
index 0000000000..c8cfe39591
--- /dev/null
+++ b/.python-version
@@ -0,0 +1 @@
+3.10
diff --git a/HOW_TO_RELEASE.md b/HOW_TO_RELEASE.md
index 786a71d131..b47586d9d0 100644
--- a/HOW_TO_RELEASE.md
+++ b/HOW_TO_RELEASE.md
@@ -1,47 +1,32 @@
 # How to issue an ActivitySim release
 
-00. Check that the main branch is passing tests, especially the "core tests" on
+1.  Check that the main branch is passing tests, especially the "core tests" on
     [GitHub Actions](https://github.com/ActivitySim/activitysim/actions/workflows/core_tests.yml). 
     It is generally the policy that the main branch should always be passing tests, 
-    becuase PRs must pass tests before they can be merged.  However, it is 
+    because PRs must pass tests before they can be merged.  However, it is 
     possible that tests may fail after a PR is merged, so it is important to
     double-check that the main branch is passing tests before issuing a release.
 
-00. Start from a completely clean conda environment
-    and git repository.  Assuming you have `conda` installed, you can do so
+2.  Start from a completely clean environment
+    and git repository.  Assuming you have `uv` installed, you can do so
     by starting where ActivitySim is not yet cloned (e.g. in an empty
     directory) and running:
     ```sh
-    conda create -p ./TEMP-ASIM-DEV python=3.10 git gh -c conda-forge --override-channels
-    conda activate ./TEMP-ASIM-DEV
     gh auth login   # <--- (only needed if gh is not logged in)
     gh repo clone ActivitySim/activitysim
     cd activitysim
+    uv sync
     ```
 
-00. Update your Conda environment for testing.  We do not want to use an
-    existing environment on your machine, as it may be out-of-sync
-    and we want to make sure everything passes muster using the
-    dependencies as they are available today.  The following command
-    will update the active environment (we made this to be `TEMP-ASIM-DEV`
-    if you followed the directions above).
-    ```sh
-    conda env update --file=conda-environments/activitysim-dev.yml
-    ```
-    If you add to the ActivitySim dependencies, make sure to also update
-    the environments in `conda-environments`, which are used for testing
-    and development.  If they are not updated, these environments will end
-    up with dependencies loaded from *pip* instead of *conda-forge*.
-
-00. Run black to ensure that the codebase passes all style checks.
+3.  Run `black` to ensure that the codebase passes all style checks.
     This check should only take a few seconds.  These checks are also done on
     GitHub Actions and are platform independent, so they should not be necessary to
     replicate locally, but are listed here for completeness.
     ```sh
-    black --check --diff .
+    uv run black --check --diff .
     ```
 
-00. Run the regular test suite on Windows. Most GitHub Actions tests are done on
+4.  Run the regular test suite on Windows. Most GitHub Actions tests are done on
     Linux (it's faster to start up and run a new clean VM for testing) but most
     users are on Windows, and the test suite should also be run on Windows to
     ensure that it works on that platform as well.  If you
@@ -54,12 +39,12 @@
     regular test suite takes some time to run, between about half an hour and
     two hours depending on the specs of your machine.
     ```sh
-    python activitysim/examples/placeholder_multiple_zone/scripts/two_zone_example_data.py
-    python activitysim/examples/placeholder_multiple_zone/scripts/three_zone_example_data.py
-    pytest .
+    uv run activitysim/examples/placeholder_multiple_zone/scripts/two_zone_example_data.py
+    uv run activitysim/examples/placeholder_multiple_zone/scripts/three_zone_example_data.py
+    uv run pytest .
     ```
 
-00. Test the full-scale regional examples. These examples are big, too
+5.  Test the full-scale regional examples. These examples are big, too
     large to run on GitHub Actions, and will take a lot of time (many hours) to
     download and run.
     ```sh
@@ -77,11 +62,17 @@
     python ../activitysim/examples/scan_examples_for_errors.py .
     ```
 
-00. Test the notebooks in `activitysim/examples/prototype_mtc/notebooks`.
+6.  Test the notebooks in `activitysim/examples/prototype_mtc/notebooks`.
     There are also demo notebooks for estimation, but their functionality
     is completely tested in the unit tests run previously.
 
-00. Tag the release commit with the new version number.  ActivitySim uses
+6.  (Optional) After ensuring the code on the branch is passing all tests, pull in the latest versions of all dependencies that still satisfy current constraints, and repeat all above tests again.
+    ```sh
+    uv lock --upgrade
+    ```
+    Make any adjustments using `uv add ...` with version constraints as needed to pass tests. If a version constraint is created, there should be a github issue created that identities the need in the future to debug and remove this constraint.
+
+7.  Tag the release commit with the new version number.  ActivitySim uses
     dynamic versioning, so the version number is not stored in a file but
     is instead read from the most recent git tag, so it is important to tag
     the repository with the correct version.  The following command will 
@@ -90,12 +81,12 @@
     git -a v1.2.3 -m "Release v1.2.3"
     ```
 
-00. Push the tagged commit to GitHub.
+8.  Push the tagged commit to GitHub.
     ```sh
     git push --tags
     ```
 
-00. Create a "release" on GitHub.  You can do this from the command line using
+9.  Create a "release" on GitHub.  You can do this from the command line using
     the `gh` command line tool:
     ```sh
     gh release create v1.2.3
@@ -110,25 +101,13 @@
 
     The process of creating and tagging a release will automatically
     trigger various GitHub Actions scripts to build, test, and publish the
-    new release to PyPI and conda forge, assuming there are no errors.
-
-00. If the dependencies of ActivitySim have changed, also be sure to update the
-    dependencies of the conda-forge [recipe](https://github.com/conda-forge/activitysim-feedstock/tree/main/recipe).
-    If the dependencies of ActivitySim have not changed, the conda-forge version
-    of ActivitySim should auto-update within a few hours of making the release on
-    Github.
+    new release to PyPI, assuming there are no errors.
 
-00. Build the ActivitySim Standalone Windows Installer.  This is done using 
+10. Build the ActivitySim Standalone Windows Installer.  This is done using 
     GitHub Actions, but it is not done automatically when a release is created, 
     instead it requires a manual workflow dispatch trigger.  You can do this by 
     going to the [build_installer workflow page](https://github.com/ActivitySim/activitysim/actions/workflows/build_installer.yml)
     and clicking on the "Run workflow" button.  You will need to provide the 
     version number and choose to add the built installer to the release.
 
-00. Clean up your workspace, including removing the Conda environment used for
-    testing (which will prevent you from accidentally using an old
-    environment when you should have a fresh up-to-date one next time).
-    ```sh
-    conda deactivate
-    conda env remove -p ./TEMP-ASIM-DEV
-    ```
+11. Clean up your environment as is good practice by deleting `.venv` inside your workspace. However, `uv` will do this for you. Prior to every `uv run` invocation, `uv` will verify that the lockfile is up-to-date with the `pyproject.toml`, and that the environment is up-to-date with the lockfile, keeping your project in-sync without the need for manual intervention. `uv run` guarantees that your command is run in a consistent, locked environment. (Be sure to use `uv add` and `uv remove` to adjust dependencies always. Manually editing `pyproject.toml` dependencies *can* result in some problems with the environment that require `uv sync` before `uv run`.)
\ No newline at end of file
diff --git a/README.md b/README.md
index 65809763ba..93e7f2ec96 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,7 @@ and benefit from contributions of other agency partners.
 
 :fire: The `main` branch of this repository contains the Consortium's latest
 in-development codebase.  It is not necessarily what you'll get if you install released
-code from conda-forge or by downloading one of the "release" versions here on GitHub,
+code from PyPI or by downloading one of the "release" versions here on GitHub,
 but it is generally expected that code in the `main` branch should be usable.
 
 ## Helpful Links
diff --git a/activitysim/abm/models/atwork_subtour_destination.py b/activitysim/abm/models/atwork_subtour_destination.py
index d0d7fd9916..1c313a0896 100644
--- a/activitysim/abm/models/atwork_subtour_destination.py
+++ b/activitysim/abm/models/atwork_subtour_destination.py
@@ -7,7 +7,7 @@
 import pandas as pd
 
 from activitysim.abm.models.util import tour_destination
-from activitysim.core import config, estimation, los, tracing, workflow
+from activitysim.core import config, estimation, los, tracing, workflow, expressions
 from activitysim.core.configuration.logit import TourLocationComponentSettings
 from activitysim.core.util import assign_in_place
 
@@ -120,3 +120,11 @@ def atwork_subtour_destination(
         state.tracing.trace_df(
             tours, label="atwork_subtour_destination", columns=["destination"]
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/atwork_subtour_frequency.py b/activitysim/abm/models/atwork_subtour_frequency.py
index 3483554432..ca7ae6d259 100644
--- a/activitysim/abm/models/atwork_subtour_frequency.py
+++ b/activitysim/abm/models/atwork_subtour_frequency.py
@@ -37,8 +37,8 @@ class AtworkSubtourFrequencySettings(LogitComponentSettings, extra="forbid"):
     Settings for the `atwork_subtour_frequency` component.
     """
 
-    preprocessor: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
+    # no additional fields are required for this component
+    pass
 
 
 @workflow.step
@@ -92,15 +92,15 @@ def atwork_subtour_frequency(
     nest_spec = config.get_logit_model_settings(model_settings)
     constants = config.get_model_constants(model_settings)
 
-    # - preprocessor
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        expressions.assign_columns(
-            state,
-            df=work_tours,
-            model_settings=preprocessor_settings,
-            trace_label=trace_label,
-        )
+    # preprocess choosers
+    expressions.annotate_preprocessors(
+        state,
+        df=work_tours,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
 
     if estimator:
         estimator.write_spec(model_settings)
@@ -164,3 +164,11 @@ def atwork_subtour_frequency(
 
     if trace_hh_id:
         state.tracing.trace_df(tours, label="atwork_subtour_frequency.tours")
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/atwork_subtour_mode_choice.py b/activitysim/abm/models/atwork_subtour_mode_choice.py
index 4e1949dc06..b9889aee72 100644
--- a/activitysim/abm/models/atwork_subtour_mode_choice.py
+++ b/activitysim/abm/models/atwork_subtour_mode_choice.py
@@ -195,17 +195,6 @@ def atwork_subtour_mode_choice(
     )
     state.add_table("tours", tours)
 
-    # - annotate tours table
-    if model_settings.annotate_tours:
-        tours = state.get_dataframe("tours")
-        expressions.assign_columns(
-            state,
-            df=tours,
-            model_settings=model_settings.annotate_tours,
-            trace_label=tracing.extend_trace_label(trace_label, "annotate_tours"),
-        )
-        state.add_table("tours", tours)
-
     if trace_hh_id:
         state.tracing.trace_df(
             tours[tours.tour_category == "atwork"],
@@ -213,3 +202,11 @@ def atwork_subtour_mode_choice(
             slicer="tour_id",
             index_label="tour_id",
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/atwork_subtour_scheduling.py b/activitysim/abm/models/atwork_subtour_scheduling.py
index fff94ef30f..2ad67ff22a 100644
--- a/activitysim/abm/models/atwork_subtour_scheduling.py
+++ b/activitysim/abm/models/atwork_subtour_scheduling.py
@@ -141,3 +141,11 @@ def atwork_subtour_scheduling(
             trace_label,
             "tour_map",
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/auto_ownership.py b/activitysim/abm/models/auto_ownership.py
index a66ce763a7..fe6a472abb 100644
--- a/activitysim/abm/models/auto_ownership.py
+++ b/activitysim/abm/models/auto_ownership.py
@@ -18,8 +18,6 @@
 from activitysim.core.configuration.base import PreprocessorSettings, PydanticReadable
 from activitysim.core.configuration.logit import LogitComponentSettings
 
-from .util import annotate
-
 logger = logging.getLogger(__name__)
 
 
@@ -28,8 +26,8 @@ class AutoOwnershipSettings(LogitComponentSettings, extra="forbid"):
     Settings for the `auto_ownership` component.
     """
 
-    preprocessor: PreprocessorSettings | None = None
-    annotate_households: PreprocessorSettings | None = None
+    # no additional fields are required for this component
+    pass
 
 
 @workflow.step
@@ -69,20 +67,14 @@ def auto_ownership_simulate(
 
     logger.info("Running %s with %d households", trace_label, len(choosers))
 
-    # - preprocessor
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_d = {}
-        if constants is not None:
-            locals_d.update(constants)
-
-        expressions.assign_columns(
-            state,
-            df=choosers,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_d,
-            trace_label=trace_label,
-        )
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
 
     if estimator:
         estimator.write_model_settings(model_settings, model_settings_file_name)
@@ -120,8 +112,13 @@ def auto_ownership_simulate(
         "auto_ownership", households.auto_ownership, value_counts=True
     )
 
-    if model_settings.annotate_households:
-        annotate.annotate_households(state, model_settings, trace_label)
-
     if trace_hh_id:
         state.tracing.trace_df(households, label="auto_ownership", warn_if_empty=True)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/cdap.py b/activitysim/abm/models/cdap.py
index 6776c06c7f..f8632da09f 100644
--- a/activitysim/abm/models/cdap.py
+++ b/activitysim/abm/models/cdap.py
@@ -36,12 +36,17 @@ class CdapSettings(PydanticReadable, extra="forbid"):
     JOINT_TOUR_COEFFICIENTS: str = "cdap_joint_tour_coefficients.csv"
     JOINT_TOUR_USEFUL_COLUMNS: list[str] | None = None
     """Columns to include from the persons table that will be need to calculate household joint tour utility."""
-    annotate_persons: PreprocessorSettings | None = None
-    annotate_households: PreprocessorSettings | None = None
     COEFFICIENTS: Path
     CONSTANTS: dict[str, Any] = {}
     compute_settings: ComputeSettings | None = None
 
+    preprocessor: PreprocessorSettings | None = None
+    """Preprocess choosers tables before running the model."""
+    annotate_persons: PreprocessorSettings | None = None
+    """Postprocess persons table after model completion."""
+    annotate_households: PreprocessorSettings | None = None
+    """Postprocess households table after model completion."""
+
 
 @workflow.step
 def cdap_simulate(
@@ -171,6 +176,16 @@ def cdap_simulate(
                     index=True,
                 )
 
+    # preprocess choosers
+    expressions.annotate_preprocessors(
+        state,
+        df=persons_merged,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
+
     if estimator:
         estimator.write_model_settings(model_settings, "cdap.yaml")
         estimator.write_spec(model_settings, tag="INDIV_AND_HHSIZE1_SPEC")
@@ -241,14 +256,6 @@ def cdap_simulate(
     cap_cat_type = pd.api.types.CategoricalDtype(["", "M", "N", "H"], ordered=False)
     choices = choices.astype(cap_cat_type)
     persons["cdap_activity"] = choices
-
-    expressions.assign_columns(
-        state,
-        df=persons,
-        model_settings=model_settings.annotate_persons,
-        trace_label=tracing.extend_trace_label(trace_label, "annotate_persons"),
-    )
-
     state.add_table("persons", persons)
 
     # - annotate households table
@@ -256,12 +263,6 @@ def cdap_simulate(
         hh_joint = hh_joint.reindex(households.index)
         households["has_joint_tour"] = hh_joint
 
-    expressions.assign_columns(
-        state,
-        df=households,
-        model_settings=model_settings.annotate_households,
-        trace_label=tracing.extend_trace_label(trace_label, "annotate_households"),
-    )
     state.add_table("households", households)
 
     tracing.print_summary("cdap_activity", persons.cdap_activity, value_counts=True)
@@ -269,3 +270,11 @@ def cdap_simulate(
         "cdap crosstabs:\n%s"
         % pd.crosstab(persons.ptype, persons.cdap_activity, margins=True)
     )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/disaggregate_accessibility.py b/activitysim/abm/models/disaggregate_accessibility.py
index fd79a188dc..0ae3167c89 100644
--- a/activitysim/abm/models/disaggregate_accessibility.py
+++ b/activitysim/abm/models/disaggregate_accessibility.py
@@ -158,7 +158,7 @@ class DisaggregateAccessibilitySettings(PydanticReadable, extra="forbid"):
     """
     Disaggreate accessibility table is grouped by the "by" cols above and the KEEP_COLS are averaged
     across the group.  Initializing the below as NA if not in the auto ownership level, they are skipped
-    in the groupby mean and the values are correct. 
+    in the groupby mean and the values are correct.
     (It's a way to avoid having to update code to reshape the table and introduce new functionality there.)
     If none, will keep all of the columns with "accessibility" in the name.
     """
@@ -435,6 +435,12 @@ def zone_sampler(self):
                     maz_candidates = maz_candidates[
                         ~maz_candidates.MAZ.isin(maz_sample_idx)
                     ]
+
+                    # Need to make sure we sample from TAZs that still exist in the maz_candidates
+                    taz_candidates = taz_candidates[
+                        taz_candidates.index.isin(maz_candidates.TAZ)
+                    ]
+
                     # Calculate the remaining samples to collect
                     n_samples_remaining = n_samples - len(maz_sample_idx)
                     n_samples_remaining = (
@@ -575,7 +581,7 @@ def expand_template_zones(self, tables):
         _expanded = pd.DataFrame(util.named_product(**index_params)).set_index("index")
 
         # Use result to join template onto expanded table of zones
-        ex_table = _expanded.join(master_template).reset_index()
+        ex_table = _expanded.join(master_template).sort_index().reset_index()
 
         # Concatenate a new unique set of ids
         cols = ["home_zone_id", "proto_household_id", "proto_person_id"]
@@ -589,9 +595,11 @@ def expand_template_zones(self, tables):
         for col, fill in col_filler.items():
             df_ids[col] = df_ids[col].str.zfill(fill)
 
-        ex_table["proto_person_id"] = df_ids[cols].apply("".join, axis=1).astype(int)
+        ex_table["proto_person_id"] = (
+            df_ids[cols].apply("".join, axis=1).astype(np.int64)
+        )
         ex_table["proto_household_id"] = (
-            df_ids[cols[:-1]].apply("".join, axis=1).astype(int)
+            df_ids[cols[:-1]].apply("".join, axis=1).astype(np.int64)
         )
 
         # Separate out into households, persons, tours
@@ -648,7 +656,9 @@ def create_proto_pop(self):
                 .set_index("index")
                 .rename(columns={"hhid": hhid})
             )
-            persons = rep.join(persons).sort_values(hhid).reset_index(drop=True)
+            persons = (
+                rep.join(persons, sort=True).sort_values(hhid).reset_index(drop=True)
+            )
             persons[perid] = persons.index + 1
 
             # Assign persons to tours
@@ -724,6 +734,7 @@ def merge_persons(self):
 
         perid = self.params["proto_persons"]["index_col"]
         persons_merged.set_index(perid, inplace=True, drop=True)
+        persons_merged = persons_merged.sort_index()
         self.proto_pop["proto_persons_merged"] = persons_merged
 
         # Store in pipeline
diff --git a/activitysim/abm/models/free_parking.py b/activitysim/abm/models/free_parking.py
index 9aa2800a67..ebcecd248a 100644
--- a/activitysim/abm/models/free_parking.py
+++ b/activitysim/abm/models/free_parking.py
@@ -26,9 +26,6 @@ class FreeParkingSettings(LogitComponentSettings, extra="forbid"):
     Settings for the `free_parking` component.
     """
 
-    preprocessor: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
-
     FREE_PARKING_ALT: int
     """The code for free parking."""
 
@@ -78,21 +75,6 @@ def free_parking(
 
     constants = model_settings.CONSTANTS or {}
 
-    # - preprocessor
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_d = {}
-        if constants is not None:
-            locals_d.update(constants)
-
-        expressions.assign_columns(
-            state,
-            df=choosers,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_d,
-            trace_label=trace_label,
-        )
-
     model_spec = state.filesystem.read_model_spec(file_name=model_settings.SPEC)
     coefficients_df = state.filesystem.read_model_coefficients(model_settings)
     model_spec = simulate.eval_coefficients(
@@ -101,6 +83,15 @@ def free_parking(
 
     nest_spec = config.get_logit_model_settings(model_settings)
 
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
+
     if estimator:
         estimator.write_model_settings(model_settings, model_settings_file_name)
         estimator.write_spec(file_name=model_settings.SPEC)
@@ -144,3 +135,11 @@ def free_parking(
 
     if state.settings.trace_hh_id:
         state.tracing.trace_df(persons, label=trace_label, warn_if_empty=True)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/input_checker.py b/activitysim/abm/models/input_checker.py
index d1c8284f88..568da851e1 100644
--- a/activitysim/abm/models/input_checker.py
+++ b/activitysim/abm/models/input_checker.py
@@ -301,34 +301,42 @@ def report_errors(state, input_checker_settings, v_warnings, v_errors):
 
             for warn in warns:
                 if "dataframe validator" in str(warn.message):
-                    file_logger.warning(
-                        "Failed dataframe validator: "
-                        + str(warn.message).split("\n")[-1]
-                    )
-                elif "element-wise validator" in str(warn.message):
-                    if "DataFrameSchema" in str(warn.message):
-                        file_logger.warning(
-                            "Failed element-wise validator: <"
-                            + str(warn.message).split("\n")[0].split(" ")[1]
-                            + table_name
-                            + ")>\n\t"
-                            + str(warn.message)
-                            .split("failure cases:\n")[0]
-                            .split("\n")[-2]
-                            + "\n\tfailure cases:\n\t"
-                            + "\n\t".join(
-                                str(warn.message)
-                                .split("failure cases:\n")[1]
-                                .split("\n")
-                            )
-                        )
-                    else:
+                    try:
                         file_logger.warning(
-                            "Failed element-wise validator: <"
-                            + " ".join(str(warn.message).split("\n")[0].split(" ")[1:3])
-                            + "\n\t"
-                            + "\n\t".join(str(warn.message).split("\n")[1:])
+                            "Failed dataframe validator: "
+                            + str(warn.message).split("\n")[-1]
                         )
+                    except Exception:
+                        file_logger.warning(warn)
+                elif "element-wise validator" in str(warn.message):
+                    try:
+                        if "DataFrameSchema" in str(warn.message):
+                            file_logger.warning(
+                                "Failed element-wise validator: <"
+                                + str(warn.message).split("\n")[0].split(" ")[1]
+                                + table_name
+                                + ")>\n\t"
+                                + str(warn.message)
+                                .split("failure cases:\n")[0]
+                                .split("\n")[-2]
+                                + "\n\tfailure cases:\n\t"
+                                + "\n\t".join(
+                                    str(warn.message)
+                                    .split("failure cases:\n")[1]
+                                    .split("\n")
+                                )
+                            )
+                        else:
+                            file_logger.warning(
+                                "Failed element-wise validator: <"
+                                + " ".join(
+                                    str(warn.message).split("\n")[0].split(" ")[1:3]
+                                )
+                                + "\n\t"
+                                + "\n\t".join(str(warn.message).split("\n")[1:])
+                            )
+                    except Exception:
+                        file_logger.warning(warn)
                 else:
                     file_logger.warning(warn)
             file_logger.warning("\n")
diff --git a/activitysim/abm/models/joint_tour_composition.py b/activitysim/abm/models/joint_tour_composition.py
index ee4ac3a69c..1c620e0709 100644
--- a/activitysim/abm/models/joint_tour_composition.py
+++ b/activitysim/abm/models/joint_tour_composition.py
@@ -18,6 +18,7 @@
 from activitysim.core.configuration.base import PreprocessorSettings
 from activitysim.core.configuration.logit import LogitComponentSettings
 
+
 logger = logging.getLogger(__name__)
 
 
@@ -36,8 +37,7 @@ class JointTourCompositionSettings(LogitComponentSettings, extra="forbid"):
     Settings for the `joint_tour_composition` component.
     """
 
-    preprocessor: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
+    pass
 
 
 @workflow.step
@@ -78,26 +78,6 @@ def joint_tour_composition(
         "Running joint_tour_composition with %d joint tours" % joint_tours.shape[0]
     )
 
-    # - run preprocessor
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_dict = {
-            "persons": persons,
-            "hh_time_window_overlap": lambda *x: hh_time_window_overlap(state, *x),
-        }
-
-        expressions.assign_columns(
-            state,
-            df=households,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_dict,
-            trace_label=trace_label,
-        )
-
-    joint_tours_merged = pd.merge(
-        joint_tours, households, left_on="household_id", right_index=True, how="left"
-    )
-
     # - simple_simulate
     model_spec = state.filesystem.read_model_spec(file_name=model_settings.SPEC)
     coefficients_df = state.filesystem.read_model_coefficients(model_settings)
@@ -108,6 +88,25 @@ def joint_tour_composition(
     nest_spec = config.get_logit_model_settings(model_settings)
     constants = config.get_model_constants(model_settings)
 
+    locals_dict = {
+        "persons": persons,
+        "hh_time_window_overlap": lambda *x: hh_time_window_overlap(state, *x),
+    }
+    locals_dict.update(constants)
+
+    expressions.annotate_preprocessors(
+        state,
+        df=households,
+        locals_dict=locals_dict,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
+
+    joint_tours_merged = pd.merge(
+        joint_tours, households, left_on="household_id", right_index=True, how="left"
+    )
+
     if estimator:
         estimator.write_spec(model_settings)
         estimator.write_model_settings(model_settings, model_settings_file_name)
@@ -156,3 +155,11 @@ def joint_tour_composition(
             label="joint_tour_composition.joint_tours",
             slicer="household_id",
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=locals_dict,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/joint_tour_destination.py b/activitysim/abm/models/joint_tour_destination.py
index cd6c2fed01..29b117821b 100644
--- a/activitysim/abm/models/joint_tour_destination.py
+++ b/activitysim/abm/models/joint_tour_destination.py
@@ -7,10 +7,11 @@
 import pandas as pd
 
 from activitysim.abm.models.util import tour_destination
-from activitysim.core import estimation, los, tracing, workflow
+from activitysim.core import estimation, los, tracing, workflow, expressions
 from activitysim.core.configuration.logit import TourLocationComponentSettings
 from activitysim.core.util import assign_in_place
 
+
 logger = logging.getLogger(__name__)
 
 
@@ -113,3 +114,11 @@ def joint_tour_destination(
 
     if trace_hh_id:
         state.tracing.trace_df(joint_tours, label="joint_tour_destination.joint_tours")
+
+    expressions.annotate_tables(
+        state,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/joint_tour_frequency.py b/activitysim/abm/models/joint_tour_frequency.py
index 1700c143b0..1b9fde94ba 100644
--- a/activitysim/abm/models/joint_tour_frequency.py
+++ b/activitysim/abm/models/joint_tour_frequency.py
@@ -25,11 +25,11 @@
 
 class JointTourFrequencySettings(LogitComponentSettings, extra="forbid"):
     """
-    Settings for the `free_parking` component.
+    Settings for the `joint_tour_frequency` component.
     """
 
-    preprocessor: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
+    # no additional settings are required for this model
+    pass
 
 
 @workflow.step
@@ -72,22 +72,6 @@ def joint_tour_frequency(
         % multi_person_households.shape[0]
     )
 
-    # - preprocessor
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_dict = {
-            "persons": persons,
-            "hh_time_window_overlap": lambda *x: hh_time_window_overlap(state, *x),
-        }
-
-        expressions.assign_columns(
-            state,
-            df=multi_person_households,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_dict,
-            trace_label=trace_label,
-        )
-
     model_spec = state.filesystem.read_model_spec(file_name=model_settings.SPEC)
     coefficients_df = state.filesystem.read_model_coefficients(model_settings)
     model_spec = simulate.eval_coefficients(
@@ -97,6 +81,22 @@ def joint_tour_frequency(
     nest_spec = config.get_logit_model_settings(model_settings)
     constants = config.get_model_constants(model_settings)
 
+    # - preprocess choosers table
+    locals_dict = {
+        "persons": persons,
+        "hh_time_window_overlap": lambda *x: hh_time_window_overlap(state, *x),
+    }
+    locals_dict.update(constants)
+
+    expressions.annotate_preprocessors(
+        state,
+        df=multi_person_households,
+        locals_dict=locals_dict,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
+
     if estimator:
         estimator.write_spec(model_settings)
         estimator.write_model_settings(model_settings, model_settings_file_name)
@@ -205,3 +205,11 @@ def joint_tour_frequency(
             print(f"tours_not_in_survey_tours\n{tours_not_in_survey_tours}")
             different = True
         assert not different
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=locals_dict,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/joint_tour_frequency_composition.py b/activitysim/abm/models/joint_tour_frequency_composition.py
index 553b280fe7..1fffd892ac 100644
--- a/activitysim/abm/models/joint_tour_frequency_composition.py
+++ b/activitysim/abm/models/joint_tour_frequency_composition.py
@@ -22,6 +22,7 @@
 )
 from activitysim.core.interaction_simulate import interaction_simulate
 
+
 logger = logging.getLogger(__name__)
 
 
@@ -58,37 +59,6 @@ def joint_tour_frequency_composition(
 
     logger.info("Running %s with %d households", trace_label, len(choosers))
 
-    # alt preprocessor
-    alt_preprocessor_settings = model_settings.ALTS_PREPROCESSOR
-    if alt_preprocessor_settings:
-        locals_dict = {}
-
-        alts = alts.copy()
-
-        expressions.assign_columns(
-            state,
-            df=alts,
-            model_settings=alt_preprocessor_settings,
-            locals_dict=locals_dict,
-            trace_label=trace_label,
-        )
-
-    # - preprocessor
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_dict = {
-            "persons": persons,
-            "hh_time_window_overlap": lambda *x: hh_time_window_overlap(state, *x),
-        }
-
-        expressions.assign_columns(
-            state,
-            df=choosers,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_dict,
-            trace_label=trace_label,
-        )
-
     estimator = estimation.manager.begin_estimation(
         state, "joint_tour_frequency_composition"
     )
@@ -101,6 +71,32 @@ def joint_tour_frequency_composition(
 
     constants = config.get_model_constants(model_settings)
 
+    # preprocess choosers table
+    locals_dict = {
+        "persons": persons,
+        "hh_time_window_overlap": lambda *x: hh_time_window_overlap(state, *x),
+    }
+    locals_dict.update(constants)
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=locals_dict,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
+
+    # preprocess alternatives table
+    expressions.annotate_preprocessors(
+        state,
+        df=alts,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+        preprocessor_setting_name="ALTS_PREPROCESSOR",
+    )
+
     if estimator:
         estimator.write_spec(model_settings)
         estimator.write_model_settings(model_settings, model_settings_file_name)
@@ -150,8 +146,15 @@ def joint_tour_frequency_composition(
     # - but we don't know the tour participants yet
     # - so we arbitrarily choose the first person in the household
     # - to be point person for the purpose of generating an index and setting origin
-    # FIXME: not all models are guaranteed to have PNUM
-    temp_point_persons = persons.loc[persons.PNUM == 1]
+    if "PNUM" in persons.columns:
+        temp_point_persons = persons.loc[persons.PNUM == 1]
+    else:
+        # if PNUM is not available, we can still get the first person in the household
+        temp_point_persons = (
+            persons.sort_index()  # ensure stable ordering
+            .groupby("household_id", as_index=False)
+            .first()
+        )
     temp_point_persons["person_id"] = temp_point_persons.index
     temp_point_persons = temp_point_persons.set_index("household_id")
     temp_point_persons = temp_point_persons[["person_id", "home_zone_id"]]
@@ -221,3 +224,11 @@ def joint_tour_frequency_composition(
             label="joint_tour_frequency_composition.joint_tours",
             slicer="household_id",
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=locals_dict,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/joint_tour_participation.py b/activitysim/abm/models/joint_tour_participation.py
index 55d5367b3c..47bc2b8ff9 100644
--- a/activitysim/abm/models/joint_tour_participation.py
+++ b/activitysim/abm/models/joint_tour_participation.py
@@ -60,6 +60,9 @@ def joint_tour_participation_candidates(joint_tours, persons_merged):
     # if this happens, participant_id may not be unique
     # channel random seeds will overlap at MAX_PARTICIPANT_PNUM (probably not a big deal)
     # and estimation infer will fail
+    if "PNUM" not in candidates.columns:
+        # create a PNUM column that just numbers the candidates for assignment of participant_id
+        candidates["PNUM"] = candidates.groupby("household_id").cumcount() + 1
     assert (
         candidates.PNUM.max() < MAX_PARTICIPANT_PNUM
     ), f"max persons.PNUM ({candidates.PNUM.max()}) > MAX_PARTICIPANT_PNUM ({MAX_PARTICIPANT_PNUM})"
@@ -274,22 +277,6 @@ def participants_chooser(
     return choices, rands
 
 
-def annotate_jtp(
-    state: workflow.State,
-    model_settings: JointTourParticipationSettings,
-    trace_label: str,
-):
-    # - annotate persons
-    persons = state.get_dataframe("persons")
-    expressions.assign_columns(
-        state,
-        df=persons,
-        model_settings=model_settings.annotate_persons,
-        trace_label=tracing.extend_trace_label(trace_label, "annotate_persons"),
-    )
-    state.add_table("persons", persons)
-
-
 def add_null_results(
     state: workflow.State,
     model_settings: JointTourParticipationSettings,
@@ -305,7 +292,13 @@ def add_null_results(
     state.add_table("joint_tour_participants", participants)
 
     # - run annotations
-    annotate_jtp(state, model_settings, trace_label)
+    expressions.annotate_tables(
+        state,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
 
 
 class JointTourParticipationSettings(LogitComponentSettings, extra="forbid"):
@@ -313,12 +306,6 @@ class JointTourParticipationSettings(LogitComponentSettings, extra="forbid"):
     Settings for the `joint_tour_participation` component.
     """
 
-    preprocessor: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
-
-    annotate_persons: PreprocessorSettings | None = None
-    """Instructions for annotating the persons table."""
-
     participation_choice: str = "participate"
 
     max_participation_choice_iterations: int = 5000
@@ -362,25 +349,6 @@ def joint_tour_participation(
         "Running joint_tours_participation with %d potential participants (candidates)"
         % candidates.shape[0]
     )
-
-    # - preprocessor
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_dict = {
-            "person_time_window_overlap": lambda x: person_time_window_overlap(
-                state, x
-            ),
-            "persons": persons_merged,
-        }
-
-        expressions.assign_columns(
-            state,
-            df=candidates,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_dict,
-            trace_label=trace_label,
-        )
-
     # - simple_simulate
 
     estimator = estimation.manager.begin_estimation(state, "joint_tour_participation")
@@ -394,6 +362,21 @@ def joint_tour_participation(
     nest_spec = config.get_logit_model_settings(model_settings)
     constants = config.get_model_constants(model_settings)
 
+    # preprocess choosers table
+    locals_dict = {
+        "persons": persons_merged,
+        "person_time_window_overlap": lambda x: person_time_window_overlap(state, x),
+    }
+    locals_dict.update(constants)
+    expressions.annotate_preprocessors(
+        state,
+        df=candidates,
+        locals_dict=locals_dict,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
+
     if estimator:
         estimator.write_model_settings(model_settings, model_settings_file_name)
         estimator.write_spec(model_settings)
@@ -498,9 +481,6 @@ def joint_tour_participation(
 
     state.add_table("tours", tours)
 
-    # - run annotations
-    annotate_jtp(state, model_settings, trace_label)
-
     if trace_hh_id:
         state.tracing.trace_df(
             participants, label="joint_tour_participation.participants"
@@ -509,3 +489,11 @@ def joint_tour_participation(
         state.tracing.trace_df(
             joint_tours, label="joint_tour_participation.joint_tours"
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=locals_dict,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/joint_tour_scheduling.py b/activitysim/abm/models/joint_tour_scheduling.py
index 9bdcbe146f..791dd7aaf4 100644
--- a/activitysim/abm/models/joint_tour_scheduling.py
+++ b/activitysim/abm/models/joint_tour_scheduling.py
@@ -22,20 +22,8 @@
 from activitysim.core.configuration.logit import LogitComponentSettings
 from activitysim.core.util import assign_in_place, reindex
 
-logger = logging.getLogger(__name__)
-
 
-# class JointTourSchedulingSettings(LogitComponentSettings, extra="forbid"):
-#     """
-#     Settings for the `joint_tour_scheduling` component.
-#     """
-#
-#     preprocessor: PreprocessorSettings | None = None
-#     """Setting for the preprocessor."""
-#
-#     sharrow_skip: bool = False
-#     """Setting to skip sharrow"""
-#
+logger = logging.getLogger(__name__)
 
 
 @workflow.step
@@ -85,21 +73,18 @@ def joint_tour_scheduling(
     constants = config.get_model_constants(model_settings)
 
     # - run preprocessor to annotate choosers
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_d = {}
-        if constants is not None:
-            locals_d.update(constants)
-
-        expressions.assign_columns(
-            state,
-            df=joint_tours,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_d,
-            trace_label=trace_label,
-        )
-
     timetable = state.get_injectable("timetable")
+    locals_d = {"timetable": timetable}
+    locals_d.update(constants)
+
+    expressions.annotate_preprocessors(
+        state,
+        df=joint_tours,
+        locals_dict=locals_d,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
 
     estimator = estimation.manager.begin_estimation(state, "joint_tour_scheduling")
 
@@ -172,3 +157,11 @@ def joint_tour_scheduling(
         state.tracing.trace_df(
             joint_tours, label="joint_tour_scheduling", slicer="household_id"
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=locals_d,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/location_choice.py b/activitysim/abm/models/location_choice.py
index 83e794b2be..8efd0003ca 100644
--- a/activitysim/abm/models/location_choice.py
+++ b/activitysim/abm/models/location_choice.py
@@ -163,6 +163,27 @@ def _location_sample(
     }
     locals_d.update(model_settings.CONSTANTS or {})
 
+    # preprocess choosers table
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=locals_d,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
+
+    # preprocess alternatives table
+    expressions.annotate_preprocessors(
+        state,
+        df=alternatives,
+        locals_dict=locals_d,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+        preprocessor_setting_name="alts_preprocessor_sample",
+    )
+
     spec = simulate.spec_for_segment(
         state,
         None,
@@ -664,6 +685,27 @@ def run_location_simulate(
     }
     locals_d.update(model_settings.CONSTANTS or {})
 
+    # preprocess choosers table
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=locals_d,
+        skims=None,  # skims included in locals_d
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
+
+    # preprocess alternatives table
+    expressions.annotate_preprocessors(
+        state,
+        df=alternatives,
+        locals_dict=locals_d,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+        preprocessor_setting_name="alts_preprocessor_sample",
+    )
+
     if estimator:
         # write choosers after annotation
         estimator.write_choosers(choosers)
@@ -796,19 +838,23 @@ def run_location_choice(
         )
 
         # - location_logsums
-        location_sample_df = run_location_logsums(
-            state,
-            segment_name,
-            choosers,
-            network_los,
-            location_sample_df,
-            model_settings,
-            chunk_size,
-            chunk_tag=f"{chunk_tag}.logsums",
-            trace_label=tracing.extend_trace_label(
-                trace_label, "logsums.%s" % segment_name
-            ),
-        )
+        # skip logsum calculations if LOGSUM_SETTINGS is None
+        if model_settings.LOGSUM_SETTINGS:
+            location_sample_df = run_location_logsums(
+                state,
+                segment_name,
+                choosers,
+                network_los,
+                location_sample_df,
+                model_settings,
+                chunk_size,
+                chunk_tag=f"{chunk_tag}.logsums",
+                trace_label=tracing.extend_trace_label(
+                    trace_label, "logsums.%s" % segment_name
+                ),
+            )
+        else:
+            location_sample_df[ALT_LOGSUM] = 0.0
 
         # - location_simulate
         choices_df = run_location_simulate(
@@ -1117,33 +1163,18 @@ def iterate_location_choice(
             )
         state.extend_table(sample_table_name, save_sample_df)
 
-    # - annotate persons table
-    if model_settings.annotate_persons:
-        expressions.assign_columns(
-            state,
-            df=persons_df,
-            model_settings=model_settings.annotate_persons,
-            trace_label=tracing.extend_trace_label(trace_label, "annotate_persons"),
-        )
-
-        state.add_table("persons", persons_df)
+    state.add_table("persons", persons_df)
 
-        if state.settings.trace_hh_id:
-            state.tracing.trace_df(persons_df, label=trace_label, warn_if_empty=True)
+    if state.settings.trace_hh_id:
+        state.tracing.trace_df(persons_df, label=trace_label, warn_if_empty=True)
 
-    # - annotate households table
-    if model_settings.annotate_households:
-        households_df = households
-        expressions.assign_columns(
-            state,
-            df=households_df,
-            model_settings=model_settings.annotate_households,
-            trace_label=tracing.extend_trace_label(trace_label, "annotate_households"),
-        )
-        state.add_table("households", households_df)
-
-        if state.settings.trace_hh_id:
-            state.tracing.trace_df(households_df, label=trace_label, warn_if_empty=True)
+    expressions.annotate_tables(
+        state,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
 
     if dc_logsum_column_name:
         tracing.print_summary(
diff --git a/activitysim/abm/models/mandatory_scheduling.py b/activitysim/abm/models/mandatory_scheduling.py
index 64fc26215f..a8cb46ecca 100644
--- a/activitysim/abm/models/mandatory_scheduling.py
+++ b/activitysim/abm/models/mandatory_scheduling.py
@@ -8,8 +8,9 @@
 
 from activitysim.abm.models.util.tour_scheduling import run_tour_scheduling
 from activitysim.core import timetable as tt
-from activitysim.core import tracing, workflow
+from activitysim.core import tracing, workflow, expressions
 from activitysim.core.util import assign_in_place, reindex
+from activitysim.abm.models.util.vectorize_tour_scheduling import TourSchedulingSettings
 
 logger = logging.getLogger(__name__)
 
@@ -30,6 +31,12 @@ def mandatory_tour_scheduling(
     model_name = "mandatory_tour_scheduling"
     trace_label = model_name
 
+    model_settings = TourSchedulingSettings.read_settings_file(
+        state.filesystem,
+        f"{model_name}.yaml",
+        mandatory=False,
+    )
+
     mandatory_tours = tours[tours.tour_category == "mandatory"]
 
     # - if no mandatory_tours
@@ -55,11 +62,12 @@ def mandatory_tour_scheduling(
 
     choices = run_tour_scheduling(
         state,
-        model_name,
+        model_settings,
         mandatory_tours,
         persons_merged,
         tdd_alts,
         tour_segment_col,
+        trace_label,
     )
 
     assign_in_place(
@@ -86,3 +94,11 @@ def mandatory_tour_scheduling(
             columns=None,
             warn_if_empty=True,
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/mandatory_tour_frequency.py b/activitysim/abm/models/mandatory_tour_frequency.py
index 8ab69710f1..2e2657d31f 100644
--- a/activitysim/abm/models/mandatory_tour_frequency.py
+++ b/activitysim/abm/models/mandatory_tour_frequency.py
@@ -30,7 +30,7 @@ def add_null_results(state, trace_label, mandatory_tour_frequency_settings):
     logger.info("Skipping %s: add_null_results", trace_label)
 
     persons = state.get_dataframe("persons")
-    persons["mandatory_tour_frequency"] = pd.categorical(
+    persons["mandatory_tour_frequency"] = pd.Categorical(
         "",
         categories=["", "work1", "work2", "school1", "school2", "work_and_school"],
         ordered=False,
@@ -58,10 +58,8 @@ class MandatoryTourFrequencySettings(LogitComponentSettings, extra="forbid"):
     Settings for the `mandatory_tour_frequency` component.
     """
 
-    preprocessor: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
-
-    annotate_persons: PreprocessorSettings | None = None
+    # no additional fields are required for this component
+    pass
 
 
 @workflow.step
@@ -95,19 +93,6 @@ def mandatory_tour_frequency(
         add_null_results(state, trace_label, model_settings)
         return
 
-    # - preprocessor
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_dict = {}
-
-        expressions.assign_columns(
-            state,
-            df=choosers,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_dict,
-            trace_label=trace_label,
-        )
-
     estimator = estimation.manager.begin_estimation(state, "mandatory_tour_frequency")
 
     model_spec = state.filesystem.read_model_spec(file_name=model_settings.SPEC)
@@ -119,6 +104,16 @@ def mandatory_tour_frequency(
     nest_spec = config.get_logit_model_settings(model_settings)
     constants = config.get_model_constants(model_settings)
 
+    # - preprocessor
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
+
     if estimator:
         estimator.write_spec(model_settings)
         estimator.write_model_settings(model_settings, model_settings_file_name)
@@ -183,13 +178,6 @@ def mandatory_tour_frequency(
     # need to reindex as we only handled persons with cdap_activity == 'M'
     persons["mandatory_tour_frequency"] = choices.reindex(persons.index).fillna("")
 
-    expressions.assign_columns(
-        state,
-        df=persons,
-        model_settings=model_settings.annotate_persons,
-        trace_label=tracing.extend_trace_label(trace_label, "annotate_persons"),
-    )
-
     state.add_table("persons", persons)
 
     tracing.print_summary(
@@ -206,3 +194,11 @@ def mandatory_tour_frequency(
         state.tracing.trace_df(
             persons, label="mandatory_tour_frequency.persons", warn_if_empty=True
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/non_mandatory_destination.py b/activitysim/abm/models/non_mandatory_destination.py
index 496c734cdd..b0c6ea3fb1 100644
--- a/activitysim/abm/models/non_mandatory_destination.py
+++ b/activitysim/abm/models/non_mandatory_destination.py
@@ -6,8 +6,8 @@
 
 import pandas as pd
 
-from activitysim.abm.models.util import annotate, tour_destination
-from activitysim.core import estimation, los, tracing, workflow
+from activitysim.abm.models.util import tour_destination
+from activitysim.core import estimation, los, tracing, workflow, expressions
 from activitysim.core.configuration.logit import TourLocationComponentSettings
 from activitysim.core.util import assign_in_place
 
@@ -129,9 +129,6 @@ def non_mandatory_tour_destination(
 
     state.add_table("tours", tours)
 
-    if model_settings.annotate_tours:
-        annotate.annotate_tours(state, model_settings, trace_label)
-
     if want_sample_table:
         assert len(save_sample_df.index.get_level_values(0).unique()) == len(choices_df)
         # save_sample_df.set_index(model_settings['ALT_DEST_COL_NAME'], append=True, inplace=True)
@@ -146,3 +143,11 @@ def non_mandatory_tour_destination(
             columns=None,
             warn_if_empty=True,
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/non_mandatory_scheduling.py b/activitysim/abm/models/non_mandatory_scheduling.py
index 4e444107bc..bbb09f7f57 100644
--- a/activitysim/abm/models/non_mandatory_scheduling.py
+++ b/activitysim/abm/models/non_mandatory_scheduling.py
@@ -8,8 +8,9 @@
 
 from activitysim.abm.models.util.tour_scheduling import run_tour_scheduling
 from activitysim.core import timetable as tt
-from activitysim.core import tracing, workflow
+from activitysim.core import tracing, workflow, expressions
 from activitysim.core.util import assign_in_place
+from activitysim.abm.models.util.vectorize_tour_scheduling import TourSchedulingSettings
 
 logger = logging.getLogger(__name__)
 DUMP = False
@@ -29,6 +30,13 @@ def non_mandatory_tour_scheduling(
     model_name = "non_mandatory_tour_scheduling"
     trace_label = model_name
     trace_hh_id = state.settings.trace_hh_id
+
+    model_settings = TourSchedulingSettings.read_settings_file(
+        state.filesystem,
+        f"{model_name}.yaml",
+        mandatory=False,
+    )
+
     non_mandatory_tours = tours[tours.tour_category == "non_mandatory"]
 
     # - if no mandatory_tours
@@ -40,11 +48,12 @@ def non_mandatory_tour_scheduling(
 
     choices = run_tour_scheduling(
         state,
-        model_name,
+        model_settings,
         non_mandatory_tours,
         persons_merged,
         tdd_alts,
         tour_segment_col,
+        trace_label,
     )
 
     assign_in_place(
@@ -71,3 +80,11 @@ def non_mandatory_tour_scheduling(
             columns=None,
             warn_if_empty=True,
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/non_mandatory_tour_frequency.py b/activitysim/abm/models/non_mandatory_tour_frequency.py
index 69b0524d42..175a4b1bfa 100644
--- a/activitysim/abm/models/non_mandatory_tour_frequency.py
+++ b/activitysim/abm/models/non_mandatory_tour_frequency.py
@@ -10,7 +10,6 @@
 import numpy as np
 import pandas as pd
 
-from activitysim.abm.models.util import annotate
 from activitysim.abm.models.util.overlap import (
     person_available_periods,
     person_max_window,
@@ -28,7 +27,7 @@
     tracing,
     workflow,
 )
-from activitysim.core.configuration.base import PreprocessorSettings, PydanticReadable
+from activitysim.core.configuration.base import PydanticReadable, PreprocessorSettings
 from activitysim.core.configuration.logit import LogitComponentSettings
 from activitysim.core.interaction_simulate import interaction_simulate
 
@@ -166,27 +165,21 @@ class NonMandatoryTourFrequencySettings(LogitComponentSettings, extra="forbid"):
     Settings for the `non_mandatory_tour_frequency` component.
     """
 
-    preprocessor: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
-
     SEGMENT_COL: str = "ptype"
     # not used anymore TODO remove if needed
 
     SPEC_SEGMENTS: list[NonMandatoryTourSpecSegment] = []
     # check the above
 
-    annotate_persons: PreprocessorSettings | None = None
-    """Preprocessor settings to annotate persons"""
-
-    annotate_tours: PreprocessorSettings | None = None
-    """Preprocessor settings to annotate tours"""
-
     explicit_chunk: float = 0
     """
     If > 0, use this chunk size instead of adaptive chunking.
     If less than 1, use this fraction of the total number of rows.
     """
 
+    alts_preprocessor: PreprocessorSettings | None = None
+    """Settings for the alternatives preprocessor."""
+
 
 @workflow.step
 def non_mandatory_tour_frequency(
@@ -233,27 +226,36 @@ def non_mandatory_tour_frequency(
     choosers = persons_merged
     choosers = choosers[choosers.cdap_activity.isin(["M", "N"])]
 
-    # - preprocessor
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_dict = {
-            "person_max_window": lambda x: person_max_window(state, x),
-            "person_available_periods": lambda persons, start_bin, end_bin, continuous: person_available_periods(
-                state, persons, start_bin, end_bin, continuous
-            ),
-        }
-
-        expressions.assign_columns(
-            state,
-            df=choosers,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_dict,
-            trace_label=trace_label,
-        )
-
     logger.info("Running non_mandatory_tour_frequency with %d persons", len(choosers))
-
+    # preprocessing choosers
     constants = config.get_model_constants(model_settings)
+    locals_dict = {
+        "person_max_window": lambda x: person_max_window(state, x),
+        "person_available_periods": lambda persons, start_bin, end_bin, continuous: person_available_periods(
+            state, persons, start_bin, end_bin, continuous
+        ),
+    }
+    locals_dict.update(constants)
+
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=locals_dict,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
+
+    # preprocessing alternatives
+    expressions.annotate_preprocessors(
+        state,
+        df=alternatives,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+        preprocessor_setting_name="alts_preprocessor",
+    )
 
     model_spec = state.filesystem.read_model_spec(file_name=model_settings.SPEC)
     spec_segments = model_settings.SPEC_SEGMENTS
@@ -479,16 +481,6 @@ def non_mandatory_tour_frequency(
         # need to re-compute tour frequency statistics to account for school escort tours
         recompute_tour_count_statistics(state)
 
-    if model_settings.annotate_tours:
-        annotate.annotate_tours(state, model_settings, trace_label)
-
-    expressions.assign_columns(
-        state,
-        df=persons,
-        model_settings=model_settings.annotate_persons,
-        trace_label=trace_label,
-    )
-
     state.add_table("persons", persons)
 
     tracing.print_summary(
@@ -513,3 +505,11 @@ def non_mandatory_tour_frequency(
             label="non_mandatory_tour_frequency.annotated_persons",
             warn_if_empty=True,
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/parking_location_choice.py b/activitysim/abm/models/parking_location_choice.py
index 674b950aaa..075bf6174d 100644
--- a/activitysim/abm/models/parking_location_choice.py
+++ b/activitysim/abm/models/parking_location_choice.py
@@ -3,6 +3,7 @@
 from __future__ import annotations
 
 import logging
+import warnings
 from pathlib import Path
 
 import numpy as np
@@ -202,8 +203,10 @@ def choose_parking_location(
         additional_columns=model_settings.compute_settings.protect_columns,
     )
 
+    # Passing only the index of the trips table to the interaction_dataset
+    # See ActivitySim issue #633
     destination_sample = logit.interaction_dataset(
-        state, trips, alternatives, alt_index_id=alt_dest_col_name
+        state, trips[[]], alternatives, alt_index_id=alt_dest_col_name
     )
     destination_sample.index = np.repeat(trips.index.values, len(alternatives))
     destination_sample.index.name = trips.index.name
@@ -325,7 +328,14 @@ class ParkingLocationSettings(LogitComponentSettings, extra="forbid"):
     """The school escort model does not use this setting, see `SPECIFICATION`."""
 
     PREPROCESSOR: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
+    """Setting for the preprocessor.
+    Runs before the choosers are filtered by the CHOOSER_FILTER_COLUMN_NAME.
+    Deprecated name -- use `preprocessor` instead.
+    """
+
+    alts_preprocessor: PreprocessorSettings | None = None
+    """Setting for the alternatives (aka landuse zones) preprocessor.
+    Runs before the alternatives are filtered by the ALTERNATIVE_FILTER_COLUMN_NAME."""
 
     ALT_DEST_COL_NAME: str = "parking_zone"
     """Parking destination column name."""
@@ -362,6 +372,19 @@ class ParkingLocationSettings(LogitComponentSettings, extra="forbid"):
     If less than 1, use this fraction of the total number of rows.
     """
 
+    def __init__(self, **data):
+        # Handle deprecated ALTS_PREPROCESSOR
+        if "PREPROCESSOR" in data:
+            warnings.warn(
+                "The 'PREPROCESSOR' setting is deprecated. Please use 'preprocessor' (lowercase) instead.",
+                DeprecationWarning,
+                stacklevel=2,
+            )
+            # If both are provided, prefer the lowercase version
+            if "preprocessor" not in data:
+                data["preprocessor"] = data["PREPROCESSOR"]
+        super().__init__(**data)
+
 
 @workflow.step
 def parking_location(
@@ -388,8 +411,6 @@ def parking_location(
     trace_hh_id = state.settings.trace_hh_id
     alt_destination_col_name = model_settings.ALT_DEST_COL_NAME
 
-    preprocessor_settings = model_settings.PREPROCESSOR
-
     trips_df = trips
     trips_merged_df = trips_merged
     land_use_df = land_use
@@ -416,14 +437,28 @@ def parking_location(
     if constants is not None:
         locals_dict.update(constants)
 
-    if preprocessor_settings:
-        expressions.assign_columns(
-            state,
-            df=trips_merged_df,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_dict,
-            trace_label=trace_label,
-        )
+    # putting preprocessor and alts preprocessor here so that they are run before
+    # the filter columns are applied so the user can use the preprocessor to add filter
+    # preprocessing choosers
+    expressions.annotate_preprocessors(
+        state,
+        df=trips_merged_df,
+        locals_dict=locals_dict,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
+
+    # preprocessing alternatives
+    expressions.annotate_preprocessors(
+        state,
+        df=land_use_df,
+        locals_dict=locals_dict,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+        preprocessor_setting_name="alts_preprocessor",
+    )
 
     parking_locations, save_sample_df = run_parking_destination(
         state,
@@ -467,3 +502,11 @@ def parking_location(
         if state.is_table(sample_table_name):
             raise RuntimeError("sample table %s already exists" % sample_table_name)
         state.extend_table(sample_table_name, save_sample_df)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=locals_dict,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/school_escorting.py b/activitysim/abm/models/school_escorting.py
index 22fea9e520..e4955dc039 100644
--- a/activitysim/abm/models/school_escorting.py
+++ b/activitysim/abm/models/school_escorting.py
@@ -319,9 +319,6 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
     Settings for the `telecommute_frequency` component.
     """
 
-    preprocessor: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
-
     ALTS: Any
 
     NUM_ESCORTEES: int = 3
@@ -353,6 +350,8 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
     preprocessor_outbound: PreprocessorSettings | None = None
     preprocessor_inbound: PreprocessorSettings | None = None
     preprocessor_outbound_cond: PreprocessorSettings | None = None
+    alts_preprocessor: PreprocessorSettings | None = None
+    """Preprocessor settings for the school escorting model alternatives."""
 
     no_escorting_alterative: int = 1
     """The alternative number for no escorting. Used to set the choice for households with no escortees."""
@@ -428,6 +427,16 @@ def school_escorting(
     constants = config.get_model_constants(model_settings)
     locals_dict = {}
     locals_dict.update(constants)
+    # alternatives preprocessor
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+        preprocessor_setting_name="alts_preprocessor",
+    )
 
     school_escorting_stages = ["outbound", "inbound", "outbound_cond"]
     escort_bundles = []
@@ -476,15 +485,16 @@ def school_escorting(
 
         logger.info("Running %s with %d households", stage_trace_label, len(choosers))
 
-        preprocessor_settings = getattr(model_settings, "preprocessor_" + stage, None)
-        if preprocessor_settings:
-            expressions.assign_columns(
-                state,
-                df=choosers,
-                model_settings=preprocessor_settings,
-                locals_dict=locals_dict,
-                trace_label=stage_trace_label,
-            )
+        preprocessor_setting_name = "preprocessor_" + stage
+        expressions.annotate_preprocessors(
+            state,
+            df=choosers,
+            locals_dict=locals_dict,
+            skims=None,
+            model_settings=model_settings,
+            trace_label=trace_label,
+            preprocessor_setting_name=preprocessor_setting_name,
+        )
 
         if estimator:
             estimator.write_model_settings(model_settings, model_settings_file_name)
@@ -634,7 +644,7 @@ def school_escorting(
     state.add_table("tours", tours)
     state.get_rn_generator().drop_channel("tours")
     state.get_rn_generator().add_channel("tours", tours)
-    state.add_table("escort_bundles", escort_bundles)
+    state.add_table("escort_bundles", escort_bundles.reset_index(drop=True))
     # save school escorting tours and trips in pipeline so we can overwrite results from downstream models
     state.add_table("school_escort_tours", school_escort_tours)
     state.add_table("school_escort_trips", school_escort_trips)
@@ -655,3 +665,11 @@ def school_escorting(
             )
 
     timetable.replace_table(state)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/settings_checker.py b/activitysim/abm/models/settings_checker.py
new file mode 100644
index 0000000000..907e7e9995
--- /dev/null
+++ b/activitysim/abm/models/settings_checker.py
@@ -0,0 +1,768 @@
+import logging
+import os
+from pandas import DataFrame
+from pydantic import BaseModel as PydanticBase
+from typing import Type, Optional
+
+from activitysim.core.configuration.base import PydanticReadable
+
+# import core settings
+from activitysim.core.configuration.logit import (
+    LogitNestSpec,
+    TourLocationComponentSettings,
+    TourModeComponentSettings,
+    TemplatedLogitComponentSettings,
+)
+from activitysim.core import config
+from activitysim.core.configuration.network import NetworkSettings
+from activitysim.core.workflow import State
+from activitysim.core.simulate import (
+    eval_coefficients,
+    eval_nest_coefficients,
+    read_model_coefficient_template,
+)
+
+# import model settings
+from activitysim.abm.models.accessibility import AccessibilitySettings
+from activitysim.abm.models.atwork_subtour_frequency import (
+    AtworkSubtourFrequencySettings,
+)
+from activitysim.abm.models.auto_ownership import AutoOwnershipSettings
+from activitysim.abm.models.cdap import CdapSettings
+from activitysim.abm.models.disaggregate_accessibility import (
+    DisaggregateAccessibilitySettings,
+    read_disaggregate_accessibility_yaml,
+)
+from activitysim.abm.models.free_parking import FreeParkingSettings
+from activitysim.abm.models.initialize import InitializeTableSettings
+from activitysim.abm.models.joint_tour_composition import JointTourCompositionSettings
+from activitysim.abm.models.joint_tour_frequency_composition import (
+    JointTourFreqCompSettings,
+)
+from activitysim.abm.models.joint_tour_frequency import JointTourFrequencySettings
+from activitysim.abm.models.joint_tour_participation import (
+    JointTourParticipationSettings,
+)
+from activitysim.abm.models.mandatory_tour_frequency import (
+    MandatoryTourFrequencySettings,
+)
+from activitysim.abm.models.non_mandatory_tour_frequency import (
+    NonMandatoryTourFrequencySettings,
+)
+from activitysim.abm.models.parking_location_choice import ParkingLocationSettings
+from activitysim.abm.models.school_escorting import SchoolEscortSettings
+from activitysim.abm.models.stop_frequency import StopFrequencySettings
+from activitysim.abm.models.summarize import SummarizeSettings
+from activitysim.abm.models.telecommute_frequency import TelecommuteFrequencySettings
+from activitysim.abm.models.tour_scheduling_probabilistic import (
+    TourSchedulingProbabilisticSettings,
+)
+from activitysim.abm.models.transit_pass_ownership import TransitPassOwnershipSettings
+from activitysim.abm.models.transit_pass_subsidy import TransitPassSubsidySettings
+from activitysim.abm.models.trip_departure_choice import TripDepartureChoiceSettings
+from activitysim.abm.models.trip_destination import TripDestinationSettings
+from activitysim.abm.models.trip_matrices import WriteTripMatricesSettings
+from activitysim.abm.models.trip_mode_choice import TripModeChoiceSettings
+from activitysim.abm.models.trip_purpose_and_destination import (
+    TripPurposeAndDestinationSettings,
+)
+from activitysim.abm.models.trip_purpose import TripPurposeSettings
+from activitysim.abm.models.vehicle_allocation import VehicleAllocationSettings
+from activitysim.abm.models.vehicle_type_choice import VehicleTypeChoiceSettings
+from activitysim.abm.models.work_from_home import WorkFromHomeSettings
+
+# import util settings
+from activitysim.abm.models.util.vectorize_tour_scheduling import (
+    TourSchedulingSettings,
+)
+from activitysim.abm.models.util.tour_od import TourODSettings
+
+# import table settings
+from activitysim.abm.tables.shadow_pricing import ShadowPriceSettings
+
+
+class SettingsCheckerError(Exception):
+    """Custom exception for settings checker errors."""
+
+    def __init__(
+        self,
+        model_name: str,
+        exception: Exception,
+        error_files: None = None,
+        additional_info: str = None,
+    ):
+        self.model_name = model_name
+        self.exception = exception
+        self.error_files = error_files
+        self.additional_info = additional_info
+        self.message = self._construct_message()
+
+        super().__init__(self.message)
+
+    def _construct_message(self) -> str:
+        message = f"Error checking settings for {self.model_name}"
+        if self.error_files is not None:
+            # cast all files from path to strings if required and wrap into list
+            if not isinstance(self.error_files, list):
+                message_files = [self.error_files]
+            else:
+                message_files = self.error_files
+            message += f" using files {', '.join([str(f) for f in message_files])}"
+        message += f": {str(self.exception)}"
+        if self.additional_info is not None:
+            message += f". {self.additional_info}"
+        return message
+
+
+# setup logging
+logger = logging.getLogger(__name__)
+file_logger = logger.getChild("logfile")
+
+CHECKER_SETTINGS = {
+    "compute_accessibility": {
+        "settings_cls": AccessibilitySettings,
+        "settings_file": "accessibility.yaml",
+    },
+    "atwork_subtour_destination": {
+        "settings_cls": TourLocationComponentSettings,
+        "settings_file": "atwork_subtour_destination.yaml",
+    },
+    "atwork_subtour_frequency": {
+        "settings_cls": AtworkSubtourFrequencySettings,
+        "settings_file": "atwork_subtour_frequency.yaml",
+    },
+    "atwork_subtour_mode_choice": {
+        "settings_cls": TourModeComponentSettings,
+        "settings_file": "tour_mode_choice.yaml",
+    },
+    "atwork_subtour_scheduling": {
+        "settings_cls": TourSchedulingSettings,
+        "settings_file": "tour_scheduling_atwork.yaml",
+    },
+    "auto_ownership_simulate": {
+        "settings_cls": AutoOwnershipSettings,
+        "settings_file": "auto_ownership.yaml",
+    },
+    "cdap_simulate": {"settings_cls": CdapSettings, "settings_file": "cdap.yaml"},
+    "compute_disaggregate_accessibility": {
+        "settings_cls": DisaggregateAccessibilitySettings,
+        "settings_file": "disaggregate_accessibility.yaml",
+    },
+    "free_parking": {
+        "settings_cls": FreeParkingSettings,
+        "settings_file": "free_parking.yaml",
+    },
+    "initialize_households": {
+        "settings_cls": InitializeTableSettings,
+        "settings_file": "initialize_households.yaml",
+    },
+    "initialize_landuse": {
+        "settings_cls": InitializeTableSettings,
+        "settings_file": "initialize_landuse.yaml",
+    },
+    "initialize_los": {
+        "settings_cls": NetworkSettings,
+        "settings_file": "network_los.yaml",
+    },
+    "input_checker": {
+        "settings_cls": PydanticReadable,  # input checker uses state.filesystem.read_model_settings directly
+        "settings_file": "input_checker.yaml",
+    },
+    "joint_tour_composition": {
+        "settings_cls": JointTourCompositionSettings,
+        "settings_file": "joint_tour_composition.yaml",
+    },
+    "joint_tour_destination": {
+        "settings_cls": TourLocationComponentSettings,
+        "settings_file": "joint_tour_destination.yaml",
+    },
+    "joint_tour_frequency_composition": {
+        "settings_cls": JointTourFreqCompSettings,
+        "settings_file": "joint_tour_frequency_composition.yaml",
+    },
+    "joint_tour_frequency": {
+        "settings_cls": JointTourFrequencySettings,
+        "settings_file": "joint_tour_frequency.yaml",
+    },
+    "joint_tour_participation": {
+        "settings_cls": JointTourParticipationSettings,
+        "settings_file": "joint_tour_participation.yaml",
+    },
+    "joint_tour_scheduling": {
+        "settings_cls": TourSchedulingSettings,
+        "settings_file": "joint_tour_scheduling.yaml",
+    },
+    "mandatory_tour_frequency": {
+        "settings_cls": MandatoryTourFrequencySettings,
+        "settings_file": "mandatory_tour_frequency.yaml",
+    },
+    "mandatory_tour_scheduling": {
+        "settings_cls": TourSchedulingSettings,
+        "settings_file": "mandatory_tour_scheduling.yaml",
+    },
+    "non_mandatory_tour_destination": {
+        "settings_cls": TourLocationComponentSettings,
+        "settings_file": "non_mandatory_tour_destination.yaml",
+    },
+    "non_mandatory_tour_frequency": {
+        "settings_cls": NonMandatoryTourFrequencySettings,
+        "settings_file": "non_mandatory_tour_frequency.yaml",
+    },
+    "non_mandatory_tour_scheduling": {
+        "settings_cls": TourSchedulingSettings,
+        "settings_file": "non_mandatory_tour_scheduling.yaml",
+    },
+    "parking_location": {
+        "settings_cls": ParkingLocationSettings,
+        "settings_file": "parking_location_choice.yaml",
+    },
+    "school_escorting": {
+        "settings_cls": SchoolEscortSettings,
+        "settings_file": "school_escorting.yaml",
+        "spec_coefficient_keys": [
+            {"spec": "OUTBOUND_SPEC", "coefs": "OUTBOUND_COEFFICIENTS"},
+            {"spec": "INBOUND_SPEC", "coefs": "INBOUND_COEFFICIENTS"},
+            {"spec": "OUTBOUND_COND_SPEC", "coefs": "OUTBOUND_COND_COEFFICIENTS"},
+        ],
+    },
+    "school_location": {
+        "settings_cls": TourLocationComponentSettings,
+        "settings_file": "school_location.yaml",
+    },
+    "shadow_pricing": {
+        "settings_cls": ShadowPriceSettings,
+        "settings_file": "shadow_pricing.yaml",
+    },
+    "stop_frequency": {
+        "settings_cls": StopFrequencySettings,
+        "settings_file": "stop_frequency.yaml",
+    },
+    "summarize": {"settings_cls": SummarizeSettings, "settings_file": "summarize.yaml"},
+    "telecommute_frequency": {
+        "settings_cls": TelecommuteFrequencySettings,
+        "settings_file": "telecommute_frequency.yaml",
+    },
+    "tour_mode_choice_simulate": {
+        "settings_cls": TourModeComponentSettings,
+        "settings_file": "tour_mode_choice.yaml",
+    },
+    "tour_od_choice": {
+        "settings_cls": TourODSettings,
+        "settings_file": "tour_od_choice.yaml",
+    },
+    "tour_scheduling_probabilistic": {
+        "settings_cls": TourSchedulingProbabilisticSettings,
+        "settings_file": "tour_scheduling_probabilistic.yaml",
+    },
+    "transit_pass_ownership": {
+        "settings_cls": TransitPassOwnershipSettings,
+        "settings_file": "transit_pass_ownership.yaml",
+    },
+    "transit_pass_subsidy": {
+        "settings_cls": TransitPassSubsidySettings,
+        "settings_file": "transit_pass_subsidy.yaml",
+    },
+    "trip_departure_choice": {
+        "settings_cls": TripDepartureChoiceSettings,
+        "settings_file": "trip_departure_choice.yaml",
+    },
+    "trip_destination": {
+        "settings_cls": TripDestinationSettings,
+        "settings_file": "trip_destination.yaml",
+    },
+    "trip_mode_choice": {
+        "settings_cls": TripModeChoiceSettings,
+        "settings_file": "trip_mode_choice.yaml",
+    },
+    "trip_purpose": {
+        "settings_cls": TripPurposeSettings,
+        "settings_file": "trip_purpose.yaml",
+    },
+    "trip_purpose_and_destination": {
+        "settings_cls": TripPurposeAndDestinationSettings,
+        "settings_file": "trip_purpose_and_destination.yaml",
+    },
+    "vehicle_allocation": {
+        "settings_cls": VehicleAllocationSettings,
+        "settings_file": "vehicle_allocation.yaml",
+    },
+    "vehicle_type_choice": {
+        "settings_cls": VehicleAllocationSettings,
+        "settings_file": "vehicle_allocation.yaml",
+    },
+    "vehicle_type_choice": {
+        "settings_cls": VehicleTypeChoiceSettings,
+        "settings_file": "vehicle_type_choice.yaml",
+    },
+    "work_from_home": {
+        "settings_cls": WorkFromHomeSettings,
+        "settings_file": "work_from_home.yaml",
+    },
+    "workplace_location": {
+        "settings_cls": TourLocationComponentSettings,
+        "settings_file": "workplace_location.yaml",
+    },
+    "write_data_dictionary": {
+        "settings_cls": PydanticReadable,  # write data dictionary uses state.filesystem.read_model_settings directly
+        "settings_file": "write_data_dictionary.yaml",
+        "warn_only": True,
+    },
+    "write_trip_matrices": {
+        "settings_cls": WriteTripMatricesSettings,
+        "settings_file": "write_trip_matrices.yaml",
+    },
+}
+
+
+def try_load_model_settings(
+    model_name: str,
+    model_settings_class: Type[PydanticBase],
+    model_settings_file: str,
+    state: State,
+) -> tuple[PydanticBase | None, Exception | None]:
+
+    msg = f"Attempting to load model settings for {model_name} via {model_settings_class.__name__} and {model_settings_file}"
+    logger.info(msg)
+    file_logger.info(msg)
+
+    try:
+        if isinstance(model_settings_class, DisaggregateAccessibilitySettings):
+            model_settings = read_disaggregate_accessibility_yaml(
+                state, model_settings_file
+            )
+        elif model_name == "input_checker":
+            # HACK: input checker does not define a pydantic data model, but reads directly to dictionary. Wrapping in BaseModel
+            # provides the required model_dump interface downstream without adding additional branching logic.
+            class InputCheckerSettings(PydanticBase):
+                input_check_settings: dict
+
+            input_check_settings = state.filesystem.read_model_settings(
+                model_settings_file, mandatory=True
+            )
+            model_settings = InputCheckerSettings(
+                input_check_settings=input_check_settings
+            )
+        else:
+            model_settings = model_settings_class.read_settings_file(
+                state.filesystem, model_settings_file
+            )
+        result = model_settings, None
+        msg = f"Successfully loaded model settings from {model_settings_file}"
+        logger.info(msg)
+    except Exception as e:
+        result = None, e
+    return result
+
+
+def try_load_spec(
+    model_name: str, model_settings: PydanticBase, spec_file: str, state: State
+) -> tuple[DataFrame | None, Exception | None]:
+    msg = f"Attempting to load SPEC for {model_name} via {model_settings.__class__.__name__}"
+    logger.info(msg)
+    file_logger.info(msg)
+    try:
+        result = state.filesystem.read_model_spec(spec_file), None
+        msg = f"Successfully loaded model SPEC from {spec_file}"
+        logger.info(msg)
+        file_logger.info(msg)
+    except Exception as e:
+        # always return a dataframe
+        result = None, e
+    return result
+
+
+def try_load_coefs(
+    model_name: str, model_settings: PydanticBase, coefs_file: str, state: State
+) -> tuple[DataFrame, Optional[Exception]]:
+    msg = f"Attempting to load COEFFICIENTS for {model_name} via {model_settings.__class__.__name__}"
+    logger.info(msg)
+    file_logger.info(msg)
+
+    try:
+        result = state.filesystem.read_model_coefficients(file_name=coefs_file), None
+        msg = f"Successfully loaded model Coefficients from {coefs_file}"
+        logger.info(msg)
+        file_logger.info(msg)
+    except Exception as e:
+        result = None, e
+    return result
+
+
+def try_eval_spec_coefs(
+    model_name: str,
+    model_settings: PydanticBase,
+    spec: DataFrame | None,
+    coefs: DataFrame | None,
+    state: State,
+) -> tuple[DataFrame | None, Exception | None]:
+
+    if spec is None or coefs is None:
+        msg_prefix = (
+            f"Skipping Evaluation Check for {model_settings.__class__.__name__}"
+        )
+        spec_msg = "No SPEC available" if spec is None else ""
+        coefs_msg = "No COEFFICENTS available" if coefs is None else ""
+        msg = ". ".join([msg_prefix, spec_msg, coefs_msg])
+        logger.debug(msg)
+        file_logger.debug(msg)
+        return None, None
+
+    try:
+        # check whether coefficients should be evaluated as NESTS or not
+        if model_settings.model_dump().get("NESTS"):
+            if isinstance(model_settings.NESTS, LogitNestSpec):
+                nests = model_settings.NESTS
+        else:
+            nests = None
+        if nests is not None:
+            # Proper Trace label is probably unneeded here
+            result = (
+                eval_nest_coefficients(model_settings.NESTS, coefs, trace_label=None),
+                None,
+            )
+        else:
+            result = eval_coefficients(state, spec, coefs, estimator=None), None
+        msg = f"Successfully evaluated coefficients for {model_name}"
+        logger.info(msg)
+        file_logger.info(msg)
+    except Exception as e:
+        result = None, e
+    return result
+
+
+def try_check_spec_coefs_templated(
+    model_name: str, model_settings: TemplatedLogitComponentSettings, state: State
+) -> list[Exception]:
+    """Alternative function for checking mode choice settings using a templated coefficients files"""
+
+    errors = []
+    inner_errors = []
+
+    try:
+        coefs_template = read_model_coefficient_template(
+            state.filesystem, model_settings
+        )
+        coefs_segments = list(coefs_template.columns)
+
+        for segment_name in coefs_segments:
+            try:
+                nest_spec = config.get_logit_model_settings(model_settings)
+                coefs = state.filesystem.get_segment_coefficients(
+                    model_settings, segment_name
+                )
+                # Proper trace label probably unneeded here
+                nest_spec = eval_nest_coefficients(nest_spec, coefs, trace_label=None)
+            except Exception as e:
+                additional_info = f"Could not evaluate templated coefficients for segment {segment_name}. Check that SPEC, Coefficients, and Template files exist and have compatible labels."
+                inner_errors.append(
+                    SettingsCheckerError(
+                        model_name,
+                        e,
+                        [
+                            model_settings.SPEC,
+                            model_settings.COEFFICIENTS,
+                            model_settings.COEFFICIENT_TEMPLATE,
+                        ],
+                        additional_info,
+                    )
+                )
+                continue
+    except Exception as e:
+        msg = f"{model_name}: Could not evaluate templated coefficients. Check that SPEC, Coefficients, and Template files exist and have compatible labels."
+        logger.warning(msg)
+        file_logger.warning(msg)
+
+        additional_info = "Could not evaluated templated coefficients. Check that SPEC, Coefficients, and Template files exist and have compatible labels."
+
+        errors.append(
+            SettingsCheckerError(
+                model_name,
+                e,
+                [
+                    model_settings.SPEC,
+                    model_settings.COEFFICIENTS,
+                    model_settings.COEFFICIENT_TEMPLATE,
+                ],
+                additional_info,
+            )
+        )
+
+    errors.extend(inner_errors)
+
+    return errors
+
+
+def try_check_spec_coefs_ptype_spec_segments(
+    model_name: str, model_settings: PydanticBase, state: State
+) -> list[Exception]:
+    """Alternative function for checking settings that are segmented by PTYPE within the main model spec"""
+    errors = []
+
+    try:
+        spec_segments = model_settings.SPEC_SEGMENTS
+        model_spec = state.filesystem.read_model_spec(file_name=model_settings.SPEC)
+
+        # pick the spec column for the segment
+        for segment_settings in spec_segments:
+            segment_name = segment_settings.NAME
+            segment_spec = model_spec[[segment_name]]
+
+            coefficients_df = state.filesystem.read_model_coefficients(segment_settings)
+            segment_spec = eval_coefficients(
+                state, segment_spec, coefficients_df, estimator=None
+            )
+    except Exception as e:
+        errors.append(
+            SettingsCheckerError(
+                model_name, e, [model_settings.SPEC, model_settings.COEFFICIENTS]
+            )
+        )
+    return errors
+
+
+def try_load_and_check_spec_coefs(
+    model_name: str,
+    model_settings: Type[PydanticBase],
+    state: State,
+    spec_coefficient_keys: list[dict] = None,
+) -> list[Exception]:
+    """Attempt to load and evaluate SPEC and COEFFICIENTS.
+    By default, will look for SPEC and COEFFICIENTS at the top level of the settings.
+    This can be overriden by providing an alternative set of spec/coefs keys
+    in the settings checker register.
+    """
+    # collect all errors
+    errors = []
+
+    if spec_coefficient_keys is None:
+        spec_coefficient_keys = [{"spec": "SPEC", "coefs": "COEFFICIENTS"}]
+
+    for key_pair in spec_coefficient_keys:
+
+        # attempt to read SPEC file
+        if hasattr(model_settings, key_pair["spec"]):
+            spec_file = model_settings.model_dump().get(key_pair["spec"])
+
+            # HACK: some models may use older "SPECIFICATION" field name instead of "SPEC"
+            if spec_file is None and hasattr(model_settings, "SPECIFICATION"):
+                spec_file = model_settings.SPECIFICATION
+
+            if spec_file is not None:
+                spec, spec_error = try_load_spec(
+                    model_name=model_name,
+                    model_settings=model_settings,
+                    spec_file=spec_file,
+                    state=state,
+                )
+            else:
+                spec, spec_error = None, None
+                msg = f"{model_name}: Field {key_pair['spec']} is None in {model_settings.__class__.__name__}. Ensure that a filepath is defined YAML settings if required"
+                logger.warning(msg)
+                file_logger.warning(msg)
+        else:
+            spec, spec_error = None, None
+            # msg = f"No SPEC file is associated with {model_settings.__class__.__name__}"
+            # logger.info(msg)
+            # file_logger.info(msg)
+
+        if spec_error is not None:
+            errors.append(spec_error)
+
+        # then attempt to read coefficients
+        if hasattr(model_settings, key_pair["coefs"]):
+            coefs_file = model_settings.model_dump().get(key_pair["coefs"])
+            if coefs_file is not None:
+                coefs, coefs_error = try_load_coefs(
+                    model_name=model_name,
+                    model_settings=model_settings,
+                    coefs_file=coefs_file,
+                    state=state,
+                )
+            else:
+                coefs, coefs_error = None, None
+                msg = f"{model_name}: Field {key_pair['coefs']} is None in {model_settings.__class__.__name__}. Ensure that a filepath is defined YAML settings if required"
+                logger.warning(msg)
+                file_logger.warning(msg)
+        else:
+            coefs, coefs_error = None, None
+            # msg = f"No coefficients file is associated with {model_settings.__class__.__name__}"
+            # logger.info(msg)
+            # file_logger.info(msg)
+
+        if coefs_error is not None:
+            errors.append(SettingsCheckerError(model_name, coefs_error, coefs_file))
+
+        # then attempt to evaluate coefficients against spec
+        eval_coefs, eval_coefs_error = try_eval_spec_coefs(
+            model_name=model_name,
+            model_settings=model_settings,
+            spec=spec,
+            coefs=coefs,
+            state=state,
+        )
+
+        if eval_coefs_error is not None:
+            errors.append(
+                SettingsCheckerError(
+                    model_name, eval_coefs_error, [spec_file, coefs_file]
+                )
+            )
+
+    # then, check any other subsettings that may have a SPEC
+    # this includes preprocessors and annotators, etc.
+    # for now, check is limited to check that the SPEC file is loadable
+    for _, setting in model_settings:
+        if (
+            isinstance(setting, PydanticBase)
+            and setting.model_dump().get("SPEC") is not None
+        ):
+            addl_spec_file = setting.SPEC
+            addl_spec, addl_spec_error = try_load_spec(
+                model_name=model_name + f": {setting.__class__.__name__}",
+                model_settings=setting,
+                spec_file=addl_spec_file,
+                state=state,
+            )
+            if addl_spec_error:
+                errors.append(
+                    SettingsCheckerError(model_name, addl_spec_error, addl_spec_file)
+                )
+    return errors
+
+
+def check_model_settings(
+    state: State,
+    checker_settings: dict = CHECKER_SETTINGS,
+    extension_settings: dict = {},
+    log_file: str = "settings_checker.log",
+) -> None:
+
+    # Collect all errors
+    all_errors = []
+
+    # additional logging set up
+    formatter = logging.Formatter(
+        "%(asctime)s - %(levelname)s - %(message)s", datefmt="%Y-%m-%d %H:%M:%S"
+    )
+    out_log_file = state.get_log_file_path(log_file)
+    if os.path.exists(out_log_file):
+        os.remove(out_log_file)
+    module_handler = logging.FileHandler(out_log_file)
+    module_handler.setFormatter(formatter)
+    file_logger.addHandler(module_handler)
+    file_logger.propagate = False
+
+    # add extension settings to checker settings
+    if extension_settings is not None:
+        checker_settings.update(extension_settings)
+
+    # extract all model components
+    all_models = state.settings.models.copy()
+
+    # add shadow pricing and initalize los (not in state.settings.models)
+    if state.settings.use_shadow_pricing == True:
+        all_models.append("shadow_pricing")
+    if "initialize_los" in state._RUNNABLE_STEPS:
+        all_models.append("initialize_los")
+
+    for model_name in all_models:
+
+        if not model_name in checker_settings:
+            msg = (
+                f"Cannot pre-check settings for model component {model_name}: "
+                "mapping to a Pydantic data model is undefined in the checker."
+            )
+            logger.info(msg)
+            file_logger.info(msg)
+            continue
+
+        model_settings_class = checker_settings[model_name]["settings_cls"]
+        model_settings_file = checker_settings[model_name]["settings_file"]
+        spec_coefficient_keys = checker_settings[model_name].get(
+            "spec_coefficient_keys"
+        )
+        # do not raise errors if YAML file cannot be loaded
+        # this is used for write_data_dictionary
+        warn_only = checker_settings[model_name].get("warn_only", False)
+
+        # first, attempt to load settings
+        # continue if any error
+        model_settings, model_settings_error = try_load_model_settings(
+            model_name=model_name,
+            model_settings_class=model_settings_class,
+            model_settings_file=model_settings_file,
+            state=state,
+        )
+
+        if model_settings_error is not None:
+            if warn_only:
+                msg = f"{model_name} settings file {model_settings_file} could not be loaded. Ensure inclusion of this configuration file is optional."
+                logger.warning(msg)
+                file_logger.warning(msg)
+                continue
+            else:
+                all_errors.append(
+                    SettingsCheckerError(
+                        model_name, model_settings_error, model_settings_file
+                    )
+                )
+                continue
+
+        # then attempt to load and resolve spec/coef files
+        if isinstance(model_settings, TemplatedLogitComponentSettings):
+            errors = try_check_spec_coefs_templated(
+                model_name=model_name, model_settings=model_settings, state=state
+            )
+        else:
+            errors = try_load_and_check_spec_coefs(
+                model_name=model_name,
+                model_settings=model_settings,
+                state=state,
+                spec_coefficient_keys=spec_coefficient_keys,
+            )
+        all_errors.extend(errors)
+
+        # if model has nested SPEC_SEGMENTS, check each of these.
+        # there are two ways of segmenting specs, which are handled differently:
+        #   1) Settings using define separate pairs of spec/coefficient files.
+        #   2) Others define segments within the main model spec file, keyed by PTYPE.
+        if model_settings.model_dump().get("SPEC_SEGMENTS"):
+
+            spec_segments = model_settings.SPEC_SEGMENTS
+
+            if isinstance(spec_segments, dict):
+                spec_segments = [
+                    segment for segment_name, segment in spec_segments.items()
+                ]
+
+            # check the first segment to see if PTYPE should be defined
+            # this avoids needing to hardcode branching logic to determine evaluation method
+            if "PTYPE" in spec_segments[0].model_fields:
+                errors = try_check_spec_coefs_ptype_spec_segments(
+                    model_name=model_name,
+                    model_settings=model_settings,
+                    state=state,
+                )
+                all_errors.extend(errors)
+            else:
+                for segment_settings in spec_segments:
+                    errors = try_load_and_check_spec_coefs(
+                        model_name=model_name,
+                        model_settings=segment_settings,
+                        state=state,
+                    )
+                all_errors.extend(errors)
+
+    if len(all_errors) > 0:
+        msg = "Settings Checker Failed with the following errors:"
+        logger.error(msg)
+        file_logger.error(msg)
+        for e in all_errors:
+            logger.error(f"\t{str(e)}")
+            file_logger.error(f"\t{str(e)}")
+        raise RuntimeError(
+            f"Encountered one or more errors in settings checker. See f{log_file} for details."
+        )
+    msg = f"Setting Checker Complete. No runtime errors were raised. Check f{log_file} for warnings. These *may* prevent model from successfully running."
+    logger.info(msg)
+    file_logger.info(msg)
diff --git a/activitysim/abm/models/stop_frequency.py b/activitysim/abm/models/stop_frequency.py
index 2f0253f219..ec1d4961d1 100644
--- a/activitysim/abm/models/stop_frequency.py
+++ b/activitysim/abm/models/stop_frequency.py
@@ -134,21 +134,15 @@ def stop_frequency(
         simulate.set_skim_wrapper_targets(tours_merged, skims)
 
         # this should be pre-slice as some expressions may count tours by type
-        annotations = expressions.compute_columns(
+        expressions.annotate_preprocessors(
             state,
             df=tours_merged,
-            model_settings=preprocessor_settings,
             locals_dict=locals_dict,
+            skims=None,  # skims are already set on tours_merged above
+            model_settings=model_settings,
             trace_label=trace_label,
         )
 
-        assign_in_place(
-            tours_merged,
-            annotations,
-            state.settings.downcast_int,
-            state.settings.downcast_float,
-        )
-
     tracing.print_summary(
         "stop_frequency segments", tours_merged.primary_purpose, value_counts=True
     )
@@ -304,10 +298,6 @@ def stop_frequency(
             trips, label="stop_frequency.trips", slicer="person_id", columns=None
         )
 
-        state.tracing.trace_df(
-            annotations, label="stop_frequency.annotations", columns=None
-        )
-
         state.tracing.trace_df(
             tours_merged,
             label="stop_frequency.tours_merged",
@@ -317,3 +307,11 @@ def stop_frequency(
 
     if state.is_table("school_escort_trips"):
         school_escort_tours_trips.merge_school_escort_trips_into_pipeline(state)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/summarize.py b/activitysim/abm/models/summarize.py
index e842393fda..d613b56373 100644
--- a/activitysim/abm/models/summarize.py
+++ b/activitysim/abm/models/summarize.py
@@ -234,7 +234,7 @@ def summarize(
     trace_label: str = "summarize",
 ) -> None:
     """
-    A standard model that uses expression files to summarize pipeline tables for vizualization.
+    A standard model that uses expression files to summarize pipeline tables for visualization.
 
     Summaries are configured in `summarize.yaml`, including specification of the
     expression file (`summarize.csv` by default).
@@ -242,7 +242,7 @@ def summarize(
     Columns in pipeline tables can also be sliced and aggregated prior to summarization.
     This preprocessing is configured in `summarize.yaml`.
 
-    Outputs a seperate csv summary file for each expression;
+    Outputs a separate csv summary file for each expression;
     outputs starting with '_' are saved as temporary local variables.
     """
 
diff --git a/activitysim/abm/models/telecommute_frequency.py b/activitysim/abm/models/telecommute_frequency.py
index f98791a2a2..195335258a 100755
--- a/activitysim/abm/models/telecommute_frequency.py
+++ b/activitysim/abm/models/telecommute_frequency.py
@@ -61,20 +61,15 @@ def telecommute_frequency(
 
     constants = config.get_model_constants(model_settings)
 
-    # - preprocessor
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_d = {}
-        if constants is not None:
-            locals_d.update(constants)
-
-        expressions.assign_columns(
-            state,
-            df=choosers,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_d,
-            trace_label=trace_label,
-        )
+    # choosers preprocessor
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
 
     model_spec = state.filesystem.read_model_spec(file_name=model_settings.SPEC)
     coefficients_df = state.filesystem.read_model_coefficients(model_settings)
@@ -127,3 +122,11 @@ def telecommute_frequency(
 
     if state.settings.trace_hh_id:
         state.tracing.trace_df(persons, label=trace_label, warn_if_empty=True)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/tour_mode_choice.py b/activitysim/abm/models/tour_mode_choice.py
index c6b8a5e00a..d2052f099a 100644
--- a/activitysim/abm/models/tour_mode_choice.py
+++ b/activitysim/abm/models/tour_mode_choice.py
@@ -7,9 +7,18 @@
 import numpy as np
 import pandas as pd
 
-from activitysim.abm.models.util import annotate, school_escort_tours_trips, trip
+from activitysim.abm.models.util import school_escort_tours_trips, trip
 from activitysim.abm.models.util.mode import run_tour_mode_choice_simulate
-from activitysim.core import config, estimation, logit, los, simulate, tracing, workflow
+from activitysim.core import (
+    config,
+    estimation,
+    logit,
+    los,
+    simulate,
+    tracing,
+    workflow,
+    expressions,
+)
 from activitysim.core.configuration.logit import TourModeComponentSettings
 from activitysim.core.util import assign_in_place, reindex
 
@@ -253,6 +262,7 @@ def tour_mode_choice_simulate(
         orig_key=dest_col_name, dest_key=orig_col_name, dim3_key="out_period"
     )
     od_skim_stack_wrapper = skim_dict.wrap(orig_col_name, dest_col_name)
+    do_skim_stack_wrapper = skim_dict.wrap(dest_col_name, orig_col_name)
 
     skims = {
         "odt_skims": odt_skim_stack_wrapper,
@@ -260,6 +270,7 @@ def tour_mode_choice_simulate(
         "odr_skims": odr_skim_stack_wrapper,  # dot return skims for e.g. TNC bridge return fare
         "dor_skims": dor_skim_stack_wrapper,  # odt return skims for e.g. TNC bridge return fare
         "od_skims": od_skim_stack_wrapper,
+        "do_skims": do_skim_stack_wrapper,
         "orig_col_name": orig_col_name,
         "dest_col_name": dest_col_name,
         "out_time_col_name": out_time_col_name,
@@ -448,10 +459,6 @@ def tour_mode_choice_simulate(
 
     state.add_table("tours", all_tours)
 
-    # - annotate tours table
-    if model_settings.annotate_tours:
-        annotate.annotate_tours(state, model_settings, trace_label)
-
     if state.settings.trace_hh_id:
         state.tracing.trace_df(
             primary_tours,
@@ -460,3 +467,11 @@ def tour_mode_choice_simulate(
             index_label="tour_id",
             warn_if_empty=True,
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/tour_od_choice.py b/activitysim/abm/models/tour_od_choice.py
index b518b36f97..ad9f527d75 100644
--- a/activitysim/abm/models/tour_od_choice.py
+++ b/activitysim/abm/models/tour_od_choice.py
@@ -7,7 +7,7 @@
 import pandas as pd
 
 from activitysim.abm.models.util import tour_od
-from activitysim.core import estimation, los, workflow
+from activitysim.core import estimation, los, workflow, expressions
 
 logger = logging.getLogger(__name__)
 
@@ -147,3 +147,11 @@ def tour_od_choice(
             columns=None,
             warn_if_empty=True,
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/tour_scheduling_probabilistic.py b/activitysim/abm/models/tour_scheduling_probabilistic.py
index 324db45667..8dcb1bbff2 100644
--- a/activitysim/abm/models/tour_scheduling_probabilistic.py
+++ b/activitysim/abm/models/tour_scheduling_probabilistic.py
@@ -7,7 +7,7 @@
 import pandas as pd
 
 from activitysim.abm.models.util import probabilistic_scheduling as ps
-from activitysim.core import chunk, estimation, workflow
+from activitysim.core import chunk, estimation, workflow, expressions
 from activitysim.core.configuration.base import PydanticReadable
 
 logger = logging.getLogger(__name__)
@@ -175,3 +175,11 @@ def tour_scheduling_probabilistic(
     assert not tours_df["duration"].isnull().any()
 
     state.add_table("tours", tours_df)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/transit_pass_ownership.py b/activitysim/abm/models/transit_pass_ownership.py
index 9a34b7b0b4..19ba883212 100644
--- a/activitysim/abm/models/transit_pass_ownership.py
+++ b/activitysim/abm/models/transit_pass_ownership.py
@@ -17,6 +17,7 @@
 from activitysim.core.configuration.base import PreprocessorSettings
 from activitysim.core.configuration.logit import LogitComponentSettings
 
+
 logger = logging.getLogger("activitysim")
 
 
@@ -25,8 +26,8 @@ class TransitPassOwnershipSettings(LogitComponentSettings, extra="forbid"):
     Settings for the `transit_pass_ownership` component.
     """
 
-    preprocessor: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
+    # no additional fields are required for this component
+    pass
 
 
 @workflow.step
@@ -56,19 +57,14 @@ def transit_pass_ownership(
     constants = config.get_model_constants(model_settings)
 
     # - preprocessor
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_d = {}
-        if constants is not None:
-            locals_d.update(constants)
-
-        expressions.assign_columns(
-            state,
-            df=choosers,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_d,
-            trace_label=trace_label,
-        )
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
 
     model_spec = state.filesystem.read_model_spec(file_name=model_settings.SPEC)
     coefficients_df = state.filesystem.read_model_coefficients(model_settings)
@@ -114,3 +110,11 @@ def transit_pass_ownership(
 
     if state.settings.trace_hh_id:
         state.tracing.trace_df(persons, label=trace_label, warn_if_empty=True)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/transit_pass_subsidy.py b/activitysim/abm/models/transit_pass_subsidy.py
index 0f71279cdf..328b499929 100644
--- a/activitysim/abm/models/transit_pass_subsidy.py
+++ b/activitysim/abm/models/transit_pass_subsidy.py
@@ -17,6 +17,7 @@
 from activitysim.core.configuration.base import PreprocessorSettings, PydanticReadable
 from activitysim.core.configuration.logit import LogitComponentSettings
 
+
 logger = logging.getLogger("activitysim")
 
 
@@ -25,9 +26,6 @@ class TransitPassSubsidySettings(LogitComponentSettings, extra="forbid"):
     Settings for the `transit_pass_subsidy` component.
     """
 
-    preprocessor: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
-
     CHOOSER_FILTER_COLUMN_NAME: str | None = None
     """Column name which selects choosers. If None, all persons are choosers."""
 
@@ -56,20 +54,15 @@ def transit_pass_subsidy(
 
     constants = config.get_model_constants(model_settings)
 
-    # - preprocessor
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_d = {}
-        if constants is not None:
-            locals_d.update(constants)
-
-        expressions.assign_columns(
-            state,
-            df=choosers,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_d,
-            trace_label=trace_label,
-        )
+    # - preprocessor, running before choosers are filtered so column can be created
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
 
     filter_col = model_settings.CHOOSER_FILTER_COLUMN_NAME
     if filter_col is not None:
@@ -122,3 +115,11 @@ def transit_pass_subsidy(
 
     if state.settings.trace_hh_id:
         state.tracing.trace_df(persons, label=trace_label, warn_if_empty=True)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/trip_departure_choice.py b/activitysim/abm/models/trip_departure_choice.py
index a0ddb363d8..0e4dd05d9d 100644
--- a/activitysim/abm/models/trip_departure_choice.py
+++ b/activitysim/abm/models/trip_departure_choice.py
@@ -191,9 +191,21 @@ def choose_tour_leg_pattern(
     trace_label="trace_label",
     *,
     chunk_sizer: chunk.ChunkSizer,
-    compute_settings: ComputeSettings | None = None,
+    model_settings: TripDepartureChoiceSettings,
 ):
     alternatives = generate_alternatives(trip_segment, STOP_TIME_DURATION).sort_index()
+
+    # preprocessing alternatives
+    expressions.annotate_preprocessors(
+        state,
+        df=alternatives,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+        preprocessor_setting_name="alts_preprocessor",
+    )
+
     have_trace_targets = state.tracing.has_trace_targets(trip_segment)
 
     if have_trace_targets:
@@ -245,7 +257,7 @@ def choose_tour_leg_pattern(
         trace_label,
         trace_rows,
         estimator=None,
-        compute_settings=compute_settings,
+        compute_settings=model_settings.compute_settings,
     )
 
     interaction_utilities = pd.concat(
@@ -402,9 +414,9 @@ def apply_stage_two_model(
     trips,
     chunk_size,
     trace_label: str,
-    compute_settings: ComputeSettings | None = None,
+    model_settings: TripDepartureChoiceSettings,
 ):
-    if not trips.index.is_monotonic:
+    if not trips.index.is_monotonic_increasing:
         trips = trips.sort_index()
 
     # Assign the duration of the appropriate leg to the trip
@@ -473,7 +485,7 @@ def apply_stage_two_model(
                 spec,
                 trace_label=segment_trace_label,
                 chunk_sizer=chunk_sizer,
-                compute_settings=compute_settings,
+                model_settings=model_settings,
             )
 
             choices = pd.merge(
@@ -509,6 +521,9 @@ class TripDepartureChoiceSettings(PydanticCompute, extra="forbid"):
     PREPROCESSOR: PreprocessorSettings | None = None
     """Setting for the preprocessor."""
 
+    alts_preprocessor: PreprocessorSettings | None = None
+    """Setting for the alternatives preprocessor."""
+
     SPECIFICATION: str = "trip_departure_choice.csv"
     """Filename for the trip departure choice (.csv) file."""
 
@@ -580,7 +595,7 @@ def trip_departure_choice(
         trips_merged_df,
         state.settings.chunk_size,
         trace_label,
-        compute_settings=model_settings.compute_settings,
+        model_settings=model_settings,
     )
 
     trips_df = trips
@@ -590,3 +605,11 @@ def trip_departure_choice(
     assert trips_df[trips_df["depart"].isnull()].empty
 
     state.add_table("trips", trips_df)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/trip_destination.py b/activitysim/abm/models/trip_destination.py
index 2b6b5a2ff2..79dd1661c4 100644
--- a/activitysim/abm/models/trip_destination.py
+++ b/activitysim/abm/models/trip_destination.py
@@ -59,9 +59,6 @@ class TripDestinationSettings(LocationComponentSettings, extra="forbid"):
     PRIMARY_ORIGIN: str = "origin"
     PRIMARY_DEST: str = "tour_leg_dest"  # must be created in preprocessor
     REDUNDANT_TOURS_MERGED_CHOOSER_COLUMNS: list[str] | None = None
-    preprocessor: PreprocessorSettings | None = None
-    alts_preprocessor_sample: PreprocessorSettings | None = None
-    alts_preprocessor_simulate: PreprocessorSettings | None = None
     CLEANUP: bool
     fail_some_trips_for_testing: bool = False
     """This setting is used by testing code to force failed trip_destination."""
@@ -203,14 +200,16 @@ def _destination_sample(
 
     log_alt_losers = state.settings.log_alt_losers
 
-    if model_settings.alts_preprocessor_sample:
-        expressions.assign_columns(
-            state,
-            df=alternatives,
-            model_settings=model_settings.alts_preprocessor_sample,
-            locals_dict=locals_dict,
-            trace_label=tracing.extend_trace_label(trace_label, "alts"),
-        )
+    # preprocessing alternatives
+    expressions.annotate_preprocessors(
+        state,
+        df=alternatives,
+        locals_dict=locals_dict,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+        preprocessor_setting_name="alts_preprocessor_sample",
+    )
 
     choices = interaction_sample(
         state,
@@ -951,14 +950,16 @@ def trip_destination_simulate(
     )
     locals_dict.update(skims)
 
-    if model_settings.alts_preprocessor_simulate:
-        expressions.assign_columns(
-            state,
-            df=destination_sample,
-            model_settings=model_settings.alts_preprocessor_simulate,
-            locals_dict=locals_dict,
-            trace_label=tracing.extend_trace_label(trace_label, "alts"),
-        )
+    # preprocessing alternatives
+    expressions.annotate_preprocessors(
+        state,
+        df=destination_sample,
+        locals_dict=locals_dict,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+        preprocessor_setting_name="alts_preprocessor_simulate",
+    )
 
     log_alt_losers = state.settings.log_alt_losers
     destinations = interaction_sample_simulate(
@@ -1052,16 +1053,21 @@ def choose_trip_destination(
         return pd.Series(index=trips.index).to_frame("choice"), None
 
     # - compute logsums
-    destination_sample = compute_logsums(
-        state,
-        primary_purpose=primary_purpose,
-        trips=trips,
-        destination_sample=destination_sample,
-        tours_merged=tours_merged,
-        model_settings=model_settings,
-        skim_hotel=skim_hotel,
-        trace_label=trace_label,
-    )
+    # If LOGSUM_SETTINGS is set to None, we don't want to compute logsums
+    if model_settings.LOGSUM_SETTINGS:
+        destination_sample = compute_logsums(
+            state,
+            primary_purpose=primary_purpose,
+            trips=trips,
+            destination_sample=destination_sample,
+            tours_merged=tours_merged,
+            model_settings=model_settings,
+            skim_hotel=skim_hotel,
+            trace_label=trace_label,
+        )
+    else:
+        destination_sample["od_logsum"] = 0.0
+        destination_sample["dp_logsum"] = 0.0
 
     t0 = print_elapsed_time("%s.compute_logsums" % trace_label, t0)
 
@@ -1271,9 +1277,14 @@ def run_trip_destination(
             state.filesystem, model_settings_file_name
         )
     preprocessor_settings = model_settings.preprocessor
-    logsum_settings = state.filesystem.read_model_settings(
-        model_settings.LOGSUM_SETTINGS
-    )
+
+    # read in logsum settings if they exist, otherwise logsum calculations are skipped
+    if model_settings.LOGSUM_SETTINGS:
+        logsum_settings = state.filesystem.read_model_settings(
+            model_settings.LOGSUM_SETTINGS
+        )
+    else:
+        logsum_settings = None
 
     logsum_column_name = model_settings.DEST_CHOICE_LOGSUM_COLUMN_NAME
     want_logsums = logsum_column_name is not None
@@ -1341,7 +1352,9 @@ def run_trip_destination(
 
     # - filter tours_merged (AFTER copying destination and origin columns to trips)
     # tours_merged is used for logsums, we filter it here upfront to save space and time
-    tours_merged_cols = logsum_settings["TOURS_MERGED_CHOOSER_COLUMNS"]
+    tours_merged_cols = (
+        logsum_settings["TOURS_MERGED_CHOOSER_COLUMNS"] if logsum_settings else []
+    )
     redundant_cols = model_settings.REDUNDANT_TOURS_MERGED_CHOOSER_COLUMNS or []
     if redundant_cols:
         tours_merged_cols = [c for c in tours_merged_cols if c not in redundant_cols]
@@ -1383,15 +1396,15 @@ def run_trip_destination(
             }
             locals_dict.update(model_settings.CONSTANTS)
 
-            # - annotate nth_trips
-            if preprocessor_settings:
-                expressions.assign_columns(
-                    state,
-                    df=nth_trips,
-                    model_settings=preprocessor_settings,
-                    locals_dict=locals_dict,
-                    trace_label=nth_trace_label,
-                )
+            # preprocessing choosers
+            expressions.annotate_preprocessors(
+                state,
+                df=nth_trips,
+                locals_dict=locals_dict,
+                skims=None,
+                model_settings=model_settings,
+                trace_label=trace_label,
+            )
 
             if isinstance(
                 nth_trips["trip_period"].dtype, pd.api.types.CategoricalDtype
@@ -1677,3 +1690,11 @@ def trip_destination(
         if state.is_table(sample_table_name):
             raise RuntimeError("sample table %s already exists" % sample_table_name)
         state.extend_table(sample_table_name, save_sample_df)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/trip_mode_choice.py b/activitysim/abm/models/trip_mode_choice.py
index b3dd0e7f4f..a942b7af84 100644
--- a/activitysim/abm/models/trip_mode_choice.py
+++ b/activitysim/abm/models/trip_mode_choice.py
@@ -8,7 +8,7 @@
 import numpy as np
 import pandas as pd
 
-from activitysim.abm.models.util import annotate, school_escort_tours_trips
+from activitysim.abm.models.util import school_escort_tours_trips
 from activitysim.abm.models.util.mode import mode_choice_simulate
 from activitysim.core import (
     chunk,
@@ -32,9 +32,6 @@ class TripModeChoiceSettings(TemplatedLogitComponentSettings, extra="forbid"):
     Settings for the `trip_mode_choice` component.
     """
 
-    preprocessor: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
-
     MODE_CHOICE_LOGSUM_COLUMN_NAME: str = "mode_choice_logsum"
     """Column name of the mode choice logsum"""
 
@@ -49,8 +46,11 @@ class TripModeChoiceSettings(TemplatedLogitComponentSettings, extra="forbid"):
     use_TVPB_constants: bool = True
 
     FORCE_ESCORTEE_CHAUFFEUR_MODE_MATCH: bool = True
-
-    annotate_trips: PreprocessorSettings | None = None
+    """
+    If True, overwrite the trip mode of escortee trips to match the mode selected
+    by the chauffeur. This is useful for school escort tours where the escortee trip 
+    mode (e.g., "transit") should match the chauffeur trip mode.
+    """
 
     LEGACY_COEFFICIENTS: str | None = None
 
@@ -370,15 +370,6 @@ def trip_mode_choice(
 
     state.add_table("trips", trips_df)
 
-    if model_settings.annotate_trips:
-        # need to update locals_dict to access skims that are the same .shape as trips table
-        locals_dict = {}
-        locals_dict.update(constants)
-        simulate.set_skim_wrapper_targets(trips_merged, skims)
-        locals_dict.update(skims)
-        locals_dict["timeframe"] = "trip"
-        annotate.annotate_trips(state, model_settings, trace_label, locals_dict)
-
     if state.settings.trace_hh_id:
         state.tracing.trace_df(
             trips_df,
@@ -387,3 +378,17 @@ def trip_mode_choice(
             index_label="trip_id",
             warn_if_empty=True,
         )
+
+    # need to update locals_dict to access skims that are the same .shape as trips table
+    locals_dict = {}
+    locals_dict.update(constants)
+    simulate.set_skim_wrapper_targets(trips_merged, skims)
+    locals_dict.update(skims)
+    locals_dict["timeframe"] = "trip"
+    expressions.annotate_tables(
+        state,
+        locals_dict=locals_dict,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/trip_purpose.py b/activitysim/abm/models/trip_purpose.py
index 5f208f514d..695882938d 100644
--- a/activitysim/abm/models/trip_purpose.py
+++ b/activitysim/abm/models/trip_purpose.py
@@ -253,16 +253,14 @@ def run_trip_purpose(
     trips_df = trips_df[~last_trip]
     logger.info("assign purpose to %s intermediate trips", trips_df.shape[0])
 
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_dict = config.get_model_constants(model_settings)
-        expressions.assign_columns(
-            state,
-            df=trips_df,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_dict,
-            trace_label=trace_label,
-        )
+    expressions.annotate_preprocessors(
+        state,
+        df=trips_df,
+        locals_dict=config.get_model_constants(model_settings),
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
 
     use_depart_time = model_settings.use_depart_time
 
@@ -303,6 +301,10 @@ def trip_purpose(state: workflow.State, trips: pd.DataFrame) -> None:
     """
     trace_label = "trip_purpose"
 
+    model_settings = TripPurposeSettings.read_settings_file(
+        state.filesystem, "trip_purpose.yaml"
+    )
+
     trips_df = trips
 
     if state.is_table("school_escort_trips"):
@@ -326,6 +328,7 @@ def trip_purpose(state: workflow.State, trips: pd.DataFrame) -> None:
         state,
         trips_df,
         estimator,
+        model_settings,
         trace_label=trace_label,
     )
 
@@ -359,3 +362,11 @@ def trip_purpose(state: workflow.State, trips: pd.DataFrame) -> None:
             index_label="trip_id",
             warn_if_empty=True,
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/trip_purpose_and_destination.py b/activitysim/abm/models/trip_purpose_and_destination.py
index 66443e0892..02b8a6cbfd 100644
--- a/activitysim/abm/models/trip_purpose_and_destination.py
+++ b/activitysim/abm/models/trip_purpose_and_destination.py
@@ -12,7 +12,7 @@
     cleanup_failed_trips,
     flag_failed_trip_leg_mates,
 )
-from activitysim.core import estimation, tracing, workflow
+from activitysim.core import estimation, tracing, workflow, expressions
 from activitysim.core.configuration.base import PydanticReadable
 from activitysim.core.util import assign_in_place
 
@@ -261,3 +261,11 @@ def trip_purpose_and_destination(
             index_label="trip_id",
             warn_if_empty=True,
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/trip_scheduling.py b/activitysim/abm/models/trip_scheduling.py
index fa69567ec9..0e45d463dc 100644
--- a/activitysim/abm/models/trip_scheduling.py
+++ b/activitysim/abm/models/trip_scheduling.py
@@ -224,7 +224,6 @@ def schedule_trips_in_leg(
     failfix = model_settings.FAILFIX
     depart_alt_base = model_settings.DEPART_ALT_BASE
     scheduling_mode = model_settings.scheduling_mode
-    preprocessor_settings = model_settings.preprocessor
 
     probs_join_cols = model_settings.probs_join_cols
     if probs_join_cols is None:
@@ -286,14 +285,14 @@ def schedule_trips_in_leg(
         nth_trace_label = tracing.extend_trace_label(trace_label, "num_%s" % i)
 
         # - annotate trips
-        if preprocessor_settings:
-            expressions.assign_columns(
-                state,
-                df=trips,
-                model_settings=preprocessor_settings,
-                locals_dict=locals_dict,
-                trace_label=nth_trace_label,
-            )
+        expressions.annotate_preprocessors(
+            state,
+            df=trips,
+            locals_dict=locals_dict,
+            skims=None,
+            model_settings=model_settings,
+            trace_label=trace_label,
+        )
 
         if (
             outbound
@@ -682,3 +681,11 @@ def trip_scheduling(
     assert not trips_df.depart.isnull().any()
 
     state.add_table("trips", trips_df)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict={},
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/trip_scheduling_choice.py b/activitysim/abm/models/trip_scheduling_choice.py
index 5f58e68ee4..510d4ece8d 100644
--- a/activitysim/abm/models/trip_scheduling_choice.py
+++ b/activitysim/abm/models/trip_scheduling_choice.py
@@ -280,6 +280,17 @@ def run_trip_scheduling_choice(
             choosers = choosers.sort_index()
             schedules = generate_schedule_alternatives(choosers).sort_index()
 
+            # preprocessing alternatives
+            expressions.annotate_preprocessors(
+                state,
+                df=schedules,
+                locals_dict=locals_dict,
+                skims=None,
+                model_settings=model_settings,
+                trace_label=trace_label,
+                preprocessor_setting_name="alts_preprocessor",
+            )
+
             # Assuming we did the max_alt_size calculation correctly,
             # we should get the same sizes here.
             assert choosers[NUM_ALTERNATIVES].sum() == schedules.shape[0]
@@ -340,6 +351,8 @@ class TripSchedulingChoiceSettings(PydanticReadable, extra="forbid"):
 
     PREPROCESSOR: PreprocessorSettings | None = None
     """Setting for the preprocessor."""
+    alts_preprocessor: PreprocessorSettings | None = None
+    """Setting for the alternatives preprocessor."""
 
     SPECIFICATION: str
     """file name of specification file"""
@@ -396,34 +409,32 @@ def trip_scheduling_choice(
         .reindex(tours.index)
     )
 
-    preprocessor_settings = model_settings.PREPROCESSOR
-
     # hack: preprocessor adds origin column in place if it does not exist already
     od_skim_stack_wrapper = skim_dict.wrap("origin", "destination")
     do_skim_stack_wrapper = skim_dict.wrap("destination", "origin")
     obib_skim_stack_wrapper = skim_dict.wrap(LAST_OB_STOP, FIRST_IB_STOP)
 
-    skims = [od_skim_stack_wrapper, do_skim_stack_wrapper, obib_skim_stack_wrapper]
-
-    locals_dict = {
+    skims = {
         "od_skims": od_skim_stack_wrapper,
         "do_skims": do_skim_stack_wrapper,
         "obib_skims": obib_skim_stack_wrapper,
+    }
+    locals_dict = {
         "orig_col_name": "origin",
         "dest_col_name": "destination",
         "timeframe": "timeless_directional",
     }
+    locals_dict.update(skims)
 
-    if preprocessor_settings:
-        simulate.set_skim_wrapper_targets(tours_df, skims)
-
-        expressions.assign_columns(
-            state,
-            df=tours_df,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_dict,
-            trace_label=trace_label,
-        )
+    # preprocess choosers
+    expressions.annotate_preprocessors(
+        state,
+        df=tours_df,
+        locals_dict=locals_dict,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
 
     tours_df = run_trip_scheduling_choice(
         state,
@@ -436,3 +447,11 @@ def trip_scheduling_choice(
     )
 
     state.add_table("tours", tours_df)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=locals_dict,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/util/annotate.py b/activitysim/abm/models/util/annotate.py
deleted file mode 100644
index 5c0f628219..0000000000
--- a/activitysim/abm/models/util/annotate.py
+++ /dev/null
@@ -1,136 +0,0 @@
-# ActivitySim
-# See full license in LICENSE.txt.
-from __future__ import annotations
-
-import logging
-
-import pandas as pd
-
-from activitysim.core import expressions, tracing, workflow
-from activitysim.core.configuration import PydanticBase
-
-"""
-Code for annotating tables
-"""
-
-logger = logging.getLogger(__name__)
-
-
-def annotate_households(
-    state: workflow.State,
-    model_settings: dict | PydanticBase,
-    trace_label: str,
-    locals_dict: dict | None = None,
-):
-    """
-    Add columns to the households table in the pipeline according to spec.
-
-    Parameters
-    ----------
-    model_settings : dict
-    trace_label : str
-    """
-    if isinstance(model_settings, PydanticBase):
-        model_settings = model_settings.dict()
-    if locals_dict is None:
-        locals_dict = {}
-    households = state.get_dataframe("households")
-    expressions.assign_columns(
-        state,
-        df=households,
-        model_settings=model_settings.get("annotate_households"),
-        locals_dict=locals_dict,
-        trace_label=tracing.extend_trace_label(trace_label, "annotate_households"),
-    )
-    state.add_table("households", households)
-
-
-def annotate_persons(
-    state: workflow.State,
-    model_settings: dict | PydanticBase,
-    trace_label: str,
-    locals_dict: dict | None = None,
-):
-    """
-    Add columns to the persons table in the pipeline according to spec.
-
-    Parameters
-    ----------
-    model_settings : dict
-    trace_label : str
-    """
-    if isinstance(model_settings, PydanticBase):
-        model_settings = model_settings.dict()
-    if locals_dict is None:
-        locals_dict = {}
-    persons = state.get_dataframe("persons")
-    expressions.assign_columns(
-        state,
-        df=persons,
-        model_settings=model_settings.get("annotate_persons"),
-        locals_dict=locals_dict,
-        trace_label=tracing.extend_trace_label(trace_label, "annotate_persons"),
-    )
-    state.add_table("persons", persons)
-
-
-def annotate_tours(
-    state: workflow.State,
-    model_settings: dict | PydanticBase,
-    trace_label: str,
-    locals_dict: dict | None = None,
-):
-    """
-    Add columns to the tours table in the pipeline according to spec.
-
-    Parameters
-    ----------
-    state : workflow.State
-    model_settings : dict or PydanticBase
-    trace_label : str
-    locals_dict : dict, optional
-    """
-    if isinstance(model_settings, PydanticBase):
-        model_settings = model_settings.dict()
-    if locals_dict is None:
-        locals_dict = {}
-    tours = state.get_dataframe("tours")
-    expressions.assign_columns(
-        state,
-        df=tours,
-        model_settings=model_settings.get("annotate_tours"),
-        locals_dict=locals_dict,
-        trace_label=tracing.extend_trace_label(trace_label, "annotate_tours"),
-    )
-    state.add_table("tours", tours)
-
-
-def annotate_trips(
-    state: workflow.State,
-    model_settings: dict | PydanticBase,
-    trace_label: str,
-    locals_dict=None,
-):
-    """
-    Add columns to the trips table in the pipeline according to spec.
-
-    Parameters
-    ----------
-    state : workflow.State
-    model_settings : dict or PydanticBase
-    trace_label : str
-    locals_dict : dict, optional
-    """
-    if isinstance(model_settings, PydanticBase):
-        model_settings = model_settings.dict()
-    if locals_dict is None:
-        locals_dict = {}
-    trips = state.get_dataframe("trips")
-    expressions.assign_columns(
-        state,
-        df=trips,
-        model_settings=model_settings.get("annotate_trips"),
-        locals_dict=locals_dict,
-        trace_label=tracing.extend_trace_label(trace_label, "annotate_trips"),
-    )
-    state.add_table("trips", trips)
diff --git a/activitysim/abm/models/util/mode.py b/activitysim/abm/models/util/mode.py
index 49776684a3..d82dd09ea8 100644
--- a/activitysim/abm/models/util/mode.py
+++ b/activitysim/abm/models/util/mode.py
@@ -88,7 +88,8 @@ def mode_choice_simulate(
     choices[mode_column_name] = choices[mode_column_name].map(
         dict(list(zip(list(range(len(alts))), alts)))
     )
-    cat_type = pd.api.types.CategoricalDtype([""] + alts.tolist(), ordered=True)
+    # note: do we want to order the mode categories?
+    cat_type = pd.api.types.CategoricalDtype([""] + alts.tolist())
     choices[mode_column_name] = choices[mode_column_name].astype(cat_type)
 
     return choices
diff --git a/activitysim/abm/models/util/school_escort_tours_trips.py b/activitysim/abm/models/util/school_escort_tours_trips.py
index 35a0e84b5c..665844023f 100644
--- a/activitysim/abm/models/util/school_escort_tours_trips.py
+++ b/activitysim/abm/models/util/school_escort_tours_trips.py
@@ -353,7 +353,7 @@ def create_chauf_escort_trips(bundles):
             "outbound",
             "purpose",
         ]
-    ).reset_index()
+    ).reset_index(drop=True)
 
     # numbering trips such that outbound escorting trips must come first and inbound trips must come last
     outbound_trip_num = -1 * (
@@ -539,7 +539,7 @@ def create_escortee_trips(bundles):
     # create a new trip for each escortee destination
     escortee_trips = escortee_trips.explode(
         ["destination", "escort_participants", "school_escort_trip_num", "purpose"]
-    ).reset_index()
+    ).reset_index(drop=True)
 
     # numbering trips such that outbound escorting trips must come first and inbound trips must come last
     # this comes in handy when merging trips to others in the tour decided downstream
@@ -767,7 +767,9 @@ def merge_school_escort_trips_into_pipeline(state: workflow.State):
             if isinstance(school_escort_trips[c].dtype, pd.api.types.CategoricalDtype):
                 from pandas.api.types import union_categoricals
 
-                uc = union_categoricals([trips[c], school_escort_trips[c]])
+                uc = union_categoricals(
+                    [trips[c], school_escort_trips[c]], sort_categories=True
+                )
                 trips[c] = pd.Categorical(trips[c], categories=uc.categories)
                 school_escort_trips[c] = pd.Categorical(
                     school_escort_trips[c], categories=uc.categories
diff --git a/activitysim/abm/models/util/tour_destination.py b/activitysim/abm/models/util/tour_destination.py
index 0891b8d216..db34a7f1af 100644
--- a/activitysim/abm/models/util/tour_destination.py
+++ b/activitysim/abm/models/util/tour_destination.py
@@ -9,7 +9,7 @@
 
 from activitysim.abm.models.util import logsums as logsum
 from activitysim.abm.tables.size_terms import tour_destination_size_terms
-from activitysim.core import config, los, simulate, tracing, workflow
+from activitysim.core import config, los, simulate, tracing, workflow, expressions
 from activitysim.core.configuration.logit import TourLocationComponentSettings
 from activitysim.core.interaction_sample import interaction_sample
 from activitysim.core.interaction_sample_simulate import interaction_sample_simulate
@@ -109,6 +109,27 @@ def _destination_sample(
 
     log_alt_losers = state.settings.log_alt_losers
 
+    # preprocess choosers table
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=locals_d,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
+
+    # preprocess alternatives table
+    expressions.annotate_preprocessors(
+        state,
+        df=destination_size_terms,
+        locals_dict=locals_d,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+        preprocessor_setting_name="alts_preprocessor_sample",
+    )
+
     choices = interaction_sample(
         state,
         choosers,
@@ -761,6 +782,27 @@ def run_destination_simulate(
     if constants is not None:
         locals_d.update(constants)
 
+    # preprocess choosers table
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=locals_d,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
+
+    # preprocess alternatives table
+    expressions.annotate_preprocessors(
+        state,
+        df=destination_sample,
+        locals_dict=locals_d,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+        preprocessor_setting_name="alts_preprocessor_simulate",
+    )
+
     state.tracing.dump_df(DUMP, choosers, trace_label, "choosers")
 
     log_alt_losers = state.settings.log_alt_losers
@@ -852,17 +894,21 @@ def run_tour_destination(
         )
 
         # - destination_logsums
-        tour_purpose = segment_name  # tour_purpose is segment_name
-        location_sample_df = run_destination_logsums(
-            state,
-            tour_purpose,
-            persons_merged,
-            location_sample_df,
-            model_settings,
-            network_los,
-            chunk_size=state.settings.chunk_size,
-            trace_label=tracing.extend_trace_label(segment_trace_label, "logsums"),
-        )
+        # if LOGSUM_SETTINGS is set to 'None', we skip this step
+        if model_settings.LOGSUM_SETTINGS:
+            tour_purpose = segment_name  # tour_purpose is segment_name
+            location_sample_df = run_destination_logsums(
+                state,
+                tour_purpose,
+                persons_merged,
+                location_sample_df,
+                model_settings,
+                network_los,
+                chunk_size=state.settings.chunk_size,
+                trace_label=tracing.extend_trace_label(segment_trace_label, "logsums"),
+            )
+        else:
+            location_sample_df["mode_choice_logsum"] = 0
 
         # - destination_simulate
         spec_segment_name = segment_name  # spec_segment_name is segment_name
diff --git a/activitysim/abm/models/util/tour_frequency.py b/activitysim/abm/models/util/tour_frequency.py
index 93c624b135..3c64f4bcc2 100644
--- a/activitysim/abm/models/util/tour_frequency.py
+++ b/activitysim/abm/models/util/tour_frequency.py
@@ -643,8 +643,7 @@ class JointTourFreqCompSettings(LogitComponentSettings, extra="forbid"):
     """
 
     ALTS_TABLE_STRUCTURE: JointTourFreqCompAlts = JointTourFreqCompAlts()
-    preprocessor: PreprocessorSettings | None = None
-    ALTS_PREPROCESSOR: PreprocessorSettings | None = None
+    ALTS_PREPROCESSOR: PreprocessorSettings | list[PreprocessorSettings] | None = None
 
 
 def create_joint_tours(
diff --git a/activitysim/abm/models/util/tour_od.py b/activitysim/abm/models/util/tour_od.py
index 7c615142f4..a74309be8d 100644
--- a/activitysim/abm/models/util/tour_od.py
+++ b/activitysim/abm/models/util/tour_od.py
@@ -47,7 +47,6 @@ class TourODSettings(TourLocationComponentSettings):
     ORIGIN_ATTR_COLS_TO_USE: list[str] = []
     ORIG_COL_NAME: str
     ORIG_FILTER: str | None = None
-    preprocessor: PreprocessorSettings | None = None
 
 
 def get_od_id_col(origin_col, destination_col):
@@ -203,6 +202,17 @@ def _od_sample(
     elif skims.orig_key not in od_alts_df:
         logger.error("Alts df is missing origin skim key column.")
 
+    # preprocessing alternatives
+    expressions.annotate_preprocessors(
+        state,
+        df=od_alts_df,
+        locals_dict=locals_d,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+        preprocessor_setting_name="alts_preprocessor_sample",
+    )
+
     choices = interaction_sample(
         state,
         choosers,
@@ -658,54 +668,6 @@ def od_presample(
     return maz_choices
 
 
-# class SizeTermCalculatorOD:  # class SizeTermCalculator
-#     """
-#     convenience object to provide size_terms for a selector (e.g.
-#     non_mandatory) for various segments (e.g. tour_type or purpose)
-#     returns size terms for specified segment in df or series form.
-#     """
-#
-#     def __init__(self, size_term_selector):
-#         # do this once so they can request size_terms for various segments (tour_type or purpose)
-#         land_use = state.checkpoint.load_dataframe("land_use")
-#         self.land_use = land_use
-#         size_terms = state.get_injectable("size_terms")
-#         self.destination_size_terms = tour_destination_size_terms(
-#             self.land_use, size_terms, size_term_selector
-#         )
-#
-#         assert not self.destination_size_terms.isna().any(axis=None)
-#
-#     def omnibus_size_terms_df(self):
-#         return self.destination_size_terms
-#
-#     def dest_size_terms_df(self, segment_name, trace_label):
-#         # return size terms as df with one column named 'size_term'
-#         # convenient if creating or merging with alts
-#
-#         size_terms = self.destination_size_terms[[segment_name]].copy()
-#         size_terms.columns = ["size_term"]
-#
-#         # FIXME - no point in considering impossible alternatives (where dest size term is zero)
-#         logger.debug(
-#             f"SizeTermCalculator dropping {(~(size_terms.size_term > 0)).sum()} "
-#             f"of {len(size_terms)} rows where size_term is zero for {segment_name}"
-#         )
-#         size_terms = size_terms[size_terms.size_term > 0]
-#
-#         if len(size_terms) == 0:
-#             logger.warning(
-#                 f"SizeTermCalculator: no zones with non-zero size terms for {segment_name} in {trace_label}"
-#             )
-#
-#         return size_terms
-#
-#     def dest_size_terms_series(self, segment_name):
-#         # return size terms as as series
-#         # convenient (and no copy overhead) if reindexing and assigning into alts column
-#         return self.destination_size_terms[segment_name]
-
-
 def run_od_sample(
     state,
     spec_segment_name,
@@ -1044,6 +1006,17 @@ def run_od_simulate(
     if constants is not None:
         locals_d.update(constants)
 
+    # preprocessing alternatives
+    expressions.annotate_preprocessors(
+        state,
+        df=od_sample,
+        locals_dict=locals_d,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+        preprocessor_setting_name="alts_preprocessor_simulate",
+    )
+
     state.tracing.dump_df(DUMP, choosers, trace_label, "choosers")
     choices = interaction_sample_simulate(
         state,
@@ -1085,7 +1058,6 @@ def run_tour_od(
     trace_label,
 ):
     size_term_calculator = SizeTermCalculator(state, model_settings.SIZE_TERM_SELECTOR)
-    preprocessor_settings = model_settings.preprocessor
     origin_col_name = model_settings.ORIG_COL_NAME
 
     chooser_segment_column = model_settings.CHOOSER_SEGMENT_COLUMN_NAME
@@ -1108,15 +1080,15 @@ def run_tour_od(
             right_index=True,
         )
 
-        # - annotate choosers
-        if preprocessor_settings:
-            expressions.assign_columns(
-                state,
-                df=choosers,
-                model_settings=preprocessor_settings,
-                trace_label=trace_label,
-            )
-
+        # preprocessing choosers
+        expressions.annotate_preprocessors(
+            state,
+            df=choosers,
+            locals_dict={},
+            skims=None,
+            model_settings=model_settings,
+            trace_label=trace_label,
+        )
         # size_term segment is segment_name
         segment_destination_size_terms = size_term_calculator.dest_size_terms_df(
             segment_name, trace_label
@@ -1160,20 +1132,24 @@ def run_tour_od(
             )
 
         # - destination_logsums
-        od_sample_df = run_od_logsums(
-            state,
-            spec_segment_name,
-            choosers,
-            od_sample_df,
-            model_settings,
-            network_los,
-            estimator,
-            chunk_size=chunk_size,
-            trace_hh_id=trace_hh_id,
-            trace_label=tracing.extend_trace_label(
-                trace_label, f"logsums.{segment_name}"
-            ),
-        )
+        # Skip logsum calculation step if LOGSUM_SETTINGS is None
+        if model_settings.LOGSUM_SETTINGS:
+            od_sample_df = run_od_logsums(
+                state,
+                spec_segment_name,
+                choosers,
+                od_sample_df,
+                model_settings,
+                network_los,
+                estimator,
+                chunk_size=chunk_size,
+                trace_hh_id=trace_hh_id,
+                trace_label=tracing.extend_trace_label(
+                    trace_label, f"logsums.{segment_name}"
+                ),
+            )
+        else:
+            od_sample_df["tour_mode_choice_logsum"] = 0.0
 
         # - od_simulate
         choices = run_od_simulate(
diff --git a/activitysim/abm/models/util/tour_scheduling.py b/activitysim/abm/models/util/tour_scheduling.py
index db003786f4..0a7c6675d1 100644
--- a/activitysim/abm/models/util/tour_scheduling.py
+++ b/activitysim/abm/models/util/tour_scheduling.py
@@ -16,20 +16,13 @@
 
 def run_tour_scheduling(
     state: workflow.State,
-    model_name: str,
+    model_settings: TourSchedulingSettings,
     chooser_tours: pd.DataFrame,
     persons_merged: pd.DataFrame,
     tdd_alts: pd.DataFrame,
     tour_segment_col: str,
+    trace_label: str,
 ):
-    trace_label = model_name
-    model_settings_file_name = f"{model_name}.yaml"
-
-    model_settings = TourSchedulingSettings.read_settings_file(
-        state.filesystem,
-        model_settings_file_name,
-        mandatory=False,
-    )
 
     if model_settings.LOGSUM_SETTINGS:
         logsum_settings = TourModeComponentSettings.read_settings_file(
@@ -52,18 +45,19 @@ def run_tour_scheduling(
     timetable = state.get_injectable("timetable")
 
     # - run preprocessor to annotate choosers
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_d = {"tt": timetable.attach_state(state)}
-        locals_d.update(config.get_model_constants(model_settings))
-
-        expressions.assign_columns(
-            state,
-            df=chooser_tours,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_d,
-            trace_label=trace_label,
-        )
+    locals_d = {"tt": timetable.attach_state(state)}
+    locals_d.update(config.get_model_constants(model_settings))
+
+    # preprocess choosers
+    expressions.annotate_preprocessors(
+        state,
+        df=chooser_tours,
+        locals_dict=locals_d,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
+    # alts preprocessed in vectorize_tour_scheduling
 
     estimators = {}
     if model_settings.TOUR_SPEC_SEGMENTS:
@@ -72,7 +66,7 @@ def run_tour_scheduling(
         specs = {}
         compute_settings = {}
         for spec_segment_name, spec_settings in spec_segment_settings.items():
-            bundle_name = f"{model_name}_{spec_segment_name}"
+            bundle_name = f"{trace_label}_{spec_segment_name}"
 
             # estimator for this tour_segment
             estimator = estimation.manager.begin_estimation(
@@ -91,7 +85,7 @@ def run_tour_scheduling(
 
             if estimator:
                 estimators[spec_segment_name] = estimator  # add to local list
-                estimator.write_model_settings(model_settings, model_settings_file_name)
+                estimator.write_model_settings(model_settings, f"{trace_label}.yaml")
                 estimator.write_spec(spec_settings)
                 estimator.write_coefficients(coefficients_df, spec_settings)
 
@@ -121,7 +115,7 @@ def run_tour_scheduling(
         assert not model_settings.TOUR_SPEC_SEGMENTS
         assert tour_segment_col is None
 
-        estimator = estimation.manager.begin_estimation(state, model_name)
+        estimator = estimation.manager.begin_estimation(state, trace_label)
 
         spec_file_name = model_settings.SPEC
         model_spec = state.filesystem.read_model_spec(file_name=spec_file_name)
@@ -132,7 +126,7 @@ def run_tour_scheduling(
 
         if estimator:
             estimators[None] = estimator  # add to local list
-            estimator.write_model_settings(model_settings, model_settings_file_name)
+            estimator.write_model_settings(model_settings, f"{trace_label}.yaml")
             estimator.write_spec(model_settings)
             estimator.write_coefficients(coefficients_df, model_settings)
 
@@ -146,7 +140,7 @@ def run_tour_scheduling(
     if estimators:
         timetable.begin_transaction(list(estimators.values()))
 
-    logger.info(f"Running {model_name} with %d tours", len(chooser_tours))
+    logger.info(f"Running {trace_label} with %d tours", len(chooser_tours))
     choices = vts.vectorize_tour_scheduling(
         state,
         chooser_tours,
diff --git a/activitysim/abm/models/util/vectorize_tour_scheduling.py b/activitysim/abm/models/util/vectorize_tour_scheduling.py
index dfab8171de..d4593c21fa 100644
--- a/activitysim/abm/models/util/vectorize_tour_scheduling.py
+++ b/activitysim/abm/models/util/vectorize_tour_scheduling.py
@@ -43,8 +43,6 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
     give the segements.
     """
     SIMULATE_CHOOSER_COLUMNS: list[str] | None = None
-    preprocessor: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
 
     SPEC_SEGMENTS: dict[str, LogitComponentSettings] = {}
 
diff --git a/activitysim/abm/models/vehicle_allocation.py b/activitysim/abm/models/vehicle_allocation.py
index 632839b116..a3f04037c0 100644
--- a/activitysim/abm/models/vehicle_allocation.py
+++ b/activitysim/abm/models/vehicle_allocation.py
@@ -87,13 +87,10 @@ def get_skim_dict(network_los: los.Network_LOS, choosers: pd.DataFrame):
 
 class VehicleAllocationSettings(LogitComponentSettings, extra="forbid"):
     """
-    Settings for the `joint_tour_scheduling` component.
+    Settings for the `vehicle_allocation` component.
     """
 
-    preprocessor: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
-
-    OCCUPANCY_LEVELS: list = [1]  # TODO Check this
+    OCCUPANCY_LEVELS: list = [1]  # TODO check this
     """Occupancy level
 
     It will create columns in the tour table selecting a vehicle for each of the
@@ -101,9 +98,6 @@ class VehicleAllocationSettings(LogitComponentSettings, extra="forbid"):
     if not supplied, will default to only one occupancy level of 1
     """
 
-    annotate_tours: PreprocessorSettings | None = None
-    """Preprocessor settings to annotate tours"""
-
 
 @workflow.step
 def vehicle_allocation(
@@ -212,15 +206,14 @@ def vehicle_allocation(
     locals_dict.update(skims)
 
     # ------ preprocessor
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        expressions.assign_columns(
-            state,
-            df=choosers,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_dict,
-            trace_label=trace_label,
-        )
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=locals_dict,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
 
     logger.info("Running %s with %d tours", trace_label, len(choosers))
 
@@ -261,6 +254,7 @@ def vehicle_allocation(
             ]
 
         # set choice for non-household vehicle option
+        choices["choice"] = choices["choice"].astype(veh_choice_dtype)
         choices.loc[
             choices["alt_choice"] == alts_from_spec[-1], "choice"
         ] = alts_from_spec[-1]
@@ -285,9 +279,13 @@ def vehicle_allocation(
         "vehicle_allocation", tours[tours_veh_occup_cols], value_counts=True
     )
 
-    annotate_settings = model_settings.annotate_tours
-    if annotate_settings:
-        annotate_vehicle_allocation(state, model_settings, trace_label)
-
     if state.settings.trace_hh_id:
         state.tracing.trace_df(tours, label="vehicle_allocation", warn_if_empty=True)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=locals_dict,
+        skims=skims,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/vehicle_type_choice.py b/activitysim/abm/models/vehicle_type_choice.py
index 93caae0381..5347b5bb79 100644
--- a/activitysim/abm/models/vehicle_type_choice.py
+++ b/activitysim/abm/models/vehicle_type_choice.py
@@ -407,15 +407,16 @@ def iterate_vehicle_type_choice(
         )
 
     # alts preprocessor
-    alts_preprocessor_settings = model_settings.alts_preprocessor
-    if alts_preprocessor_settings:
-        expressions.assign_columns(
-            state,
-            df=alts_wide,
-            model_settings=alts_preprocessor_settings,
-            locals_dict=locals_dict,
-            trace_label=trace_label,
-        )
+    # preprocessing alternatives
+    expressions.annotate_preprocessors(
+        state,
+        df=alts_wide,
+        locals_dict=locals_dict,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+        preprocessor_setting_name="alts_preprocessor",
+    )
 
     # - preparing choosers for iterating
     vehicles_merged["already_owned_veh"] = ""
@@ -434,15 +435,15 @@ def iterate_vehicle_type_choice(
         # running preprocessor on entire vehicle table to enumerate vehicle types
         # already owned by the household
         choosers = vehicles_merged
-        preprocessor_settings = model_settings.preprocessor
-        if preprocessor_settings:
-            expressions.assign_columns(
-                state,
-                df=choosers,
-                model_settings=preprocessor_settings,
-                locals_dict=locals_dict,
-                trace_label=trace_label,
-            )
+        # preprocessing choosers
+        expressions.annotate_preprocessors(
+            state,
+            df=choosers,
+            locals_dict=locals_dict,
+            skims=None,
+            model_settings=model_settings,
+            trace_label=trace_label,
+        )
 
         # only make choices for vehicles that have not been selected yet
         choosers = choosers[choosers["vehicle_num"] == veh_num]
@@ -564,7 +565,6 @@ class VehicleTypeChoiceSettings(LogitComponentSettings, extra="forbid"):
     VEHICLE_TYPE_DATA_FILE: str | None = None
     PROBS_SPEC: str | None = None
     combinatorial_alts: dict | None = None
-    preprocessor: PreprocessorSettings | None = None
     alts_preprocessor: PreprocessorSettings | None = None
     SIMULATION_TYPE: Literal[
         "simple_simulate", "interaction_simulate"
@@ -576,10 +576,6 @@ class VehicleTypeChoiceSettings(LogitComponentSettings, extra="forbid"):
     COLS_TO_INCLUDE_IN_ALTS_TABLE: list[str] = []
     """Columns to include in the alternatives table for use in utility calculations."""
 
-    annotate_households: PreprocessorSettings | None = None
-    annotate_persons: PreprocessorSettings | None = None
-    annotate_vehicles: PreprocessorSettings | None = None
-
     REQUIRE_DATA_FOR_ALL_ALTS: bool = False
     WRITE_OUT_ALTS_FILE: bool = False
 
@@ -708,14 +704,6 @@ def vehicle_type_choice(
     vehicles = pd.concat([vehicles, choices], axis=1)
     state.add_table("vehicles", vehicles)
 
-    # - annotate tables
-    if model_settings.annotate_households:
-        annotate_vehicle_type_choice_households(state, model_settings, trace_label)
-    if model_settings.annotate_persons:
-        annotate_vehicle_type_choice_persons(state, model_settings, trace_label)
-    if model_settings.annotate_vehicles:
-        annotate_vehicle_type_choice_vehicles(state, model_settings, trace_label)
-
     tracing.print_summary(
         "vehicle_type_choice", vehicles.vehicle_type, value_counts=True
     )
@@ -724,3 +712,11 @@ def vehicle_type_choice(
         state.tracing.trace_df(
             vehicles, label="vehicle_type_choice", warn_if_empty=True
         )
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=locals_dict,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/models/work_from_home.py b/activitysim/abm/models/work_from_home.py
index 8b96dafa13..6b8f8d7815 100755
--- a/activitysim/abm/models/work_from_home.py
+++ b/activitysim/abm/models/work_from_home.py
@@ -18,6 +18,7 @@
 from activitysim.core.configuration.base import PreprocessorSettings, PydanticReadable
 from activitysim.core.configuration.logit import LogitComponentSettings
 
+
 logger = logging.getLogger("activitysim")
 
 
@@ -26,9 +27,6 @@ class WorkFromHomeSettings(LogitComponentSettings, extra="forbid"):
     Settings for the `work_from_home` component.
     """
 
-    preprocessor: PreprocessorSettings | None = None
-    """Setting for the preprocessor."""
-
     WORK_FROM_HOME_ALT: int
     """Value that specify if the person is working from home"""  # TODO
 
@@ -88,20 +86,14 @@ def work_from_home(
     constants = config.get_model_constants(model_settings)
     work_from_home_alt = model_settings.WORK_FROM_HOME_ALT
 
-    # - preprocessor
-    preprocessor_settings = model_settings.preprocessor
-    if preprocessor_settings:
-        locals_d = {}
-        if constants is not None:
-            locals_d.update(constants)
-
-        expressions.assign_columns(
-            state,
-            df=choosers,
-            model_settings=preprocessor_settings,
-            locals_dict=locals_d,
-            trace_label=trace_label,
-        )
+    expressions.annotate_preprocessors(
+        state,
+        df=choosers,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
 
     model_spec = state.filesystem.read_model_spec(file_name=model_settings.SPEC)
     coefficients_df = state.filesystem.read_model_coefficients(model_settings)
@@ -221,3 +213,11 @@ def work_from_home(
 
     if state.settings.trace_hh_id:
         state.tracing.trace_df(persons, label=trace_label, warn_if_empty=True)
+
+    expressions.annotate_tables(
+        state,
+        locals_dict=constants,
+        skims=None,
+        model_settings=model_settings,
+        trace_label=trace_label,
+    )
diff --git a/activitysim/abm/tables/vehicles.py b/activitysim/abm/tables/vehicles.py
index c998c9abe3..36f13b0ccd 100644
--- a/activitysim/abm/tables/vehicles.py
+++ b/activitysim/abm/tables/vehicles.py
@@ -29,6 +29,12 @@ def vehicles(state: workflow.State, households: pd.DataFrame):
     """
 
     # initialize vehicles table
+    if "auto_ownership" not in households.columns:
+        # grab the proto_households table instead
+        # this is called when running disaggregate accessibilities and the vehicles table is used in the logsum calculation
+        households = state.get_table("proto_households")
+        households.index.name = "household_id"
+
     vehicles = households.loc[households.index.repeat(households["auto_ownership"])]
     vehicles = vehicles.reset_index()[["household_id"]]
 
diff --git a/activitysim/cli/create.py b/activitysim/cli/create.py
index b810cdcd2d..4275ad3a1d 100644
--- a/activitysim/cli/create.py
+++ b/activitysim/cli/create.py
@@ -2,6 +2,7 @@
 
 import glob
 import hashlib
+import importlib.resources
 import logging
 import os
 import shutil
@@ -21,14 +22,15 @@
 
 def _example_path(resource):
     resource = os.path.join(EXAMPLES_DIR, resource)
-    path = pkg_resources.resource_filename(PACKAGE, resource)
-
-    return path
+    return importlib.resources.as_file(
+        importlib.resources.files(PACKAGE).joinpath(resource)
+    )
 
 
 def _load_manifest():
-    with open(_example_path(MANIFEST), "r") as f:
-        manifest = yaml.safe_load(f.read())
+    with _example_path(MANIFEST) as f_pth:
+        with open(f_pth, "r") as f:
+            manifest = yaml.safe_load(f.read())
 
     assert manifest, f"error: could not load {MANIFEST}"
     return {example["name"]: example for example in manifest}
@@ -177,8 +179,9 @@ def get_example(
             )
 
         else:
-            for asset_path in glob.glob(_example_path(assets)):
-                copy_asset(asset_path, target_path, dirs_exist_ok=True)
+            with _example_path(assets) as pth:
+                for asset_path in glob.glob(str(pth)):
+                    copy_asset(asset_path, target_path, dirs_exist_ok=True)
 
     print(f"copied! new project files are in {os.path.abspath(dest_path)}")
 
diff --git a/activitysim/cli/run.py b/activitysim/cli/run.py
index 03258be4b5..8556b988a5 100644
--- a/activitysim/cli/run.py
+++ b/activitysim/cli/run.py
@@ -14,6 +14,8 @@
 from activitysim.core import chunk, config, mem, tracing, workflow
 from activitysim.core.configuration import FileSystem, Settings
 
+from activitysim.abm.models.settings_checker import check_model_settings
+
 logger = logging.getLogger(__name__)
 
 
@@ -283,7 +285,7 @@ def run(args):
         # Memory sidecar is only useful for single process runs
         # multiprocess runs log memory usage without blocking in the controlling process.
         mem_prof_log = state.get_log_file_path("memory_profile.csv")
-        from ..core.memory_sidecar import MemorySidecar
+        from activitysim.core.memory_sidecar import MemorySidecar
 
         memory_sidecar_process = MemorySidecar(mem_prof_log)
     else:
@@ -328,6 +330,9 @@ def run(args):
     config.filter_warnings(state)
     logging.captureWarnings(capture=True)
 
+    activitysim_version = importlib.metadata.version("activitysim")
+    logger.info(f"ActivitySim Version: {activitysim_version}")
+
     # directories
     for k in ["configs_dir", "settings_file_name", "data_dir", "output_dir"]:
         logger.info("SETTING %s: %s" % (k, getattr(state.filesystem, k, None)))
@@ -370,6 +375,28 @@ def run(args):
 
     t0 = tracing.print_elapsed_time()
 
+    if state.settings.check_model_settings == True:
+        logger.info(
+            "Settings checker will check core settings files. See settings_checker.log for details."
+        )
+        # get any additional settings definitions from extensions
+        extension_checker_settings = {}
+        extension_names = state.get_injectable("imported_extensions")
+        if extension_names:
+            for ext in extension_names:
+                try:
+                    settings_checker_ext = importlib.import_module(
+                        ext + ".settings_checker"
+                    )
+                    extension_checker_settings.update(
+                        settings_checker_ext.EXTENSION_CHECKER_SETTINGS
+                    )
+                except ImportError:
+                    logger.warning(
+                        f"Extension {ext} does not have a settings_checker module or it cannot be imported."
+                    )
+        check_model_settings(state, extension_settings=extension_checker_settings)
+
     try:
         if state.settings.multiprocess:
             logger.info("run multiprocess simulation")
diff --git a/activitysim/core/assign.py b/activitysim/core/assign.py
index 4054b2aec9..c5f69d1d12 100644
--- a/activitysim/core/assign.py
+++ b/activitysim/core/assign.py
@@ -96,7 +96,36 @@ def read_assignment_spec(
     """
 
     try:
-        cfg = pd.read_csv(file_name, comment="#")
+        # we use an explicit list of na_values, these are the values that
+        # Pandas version 1.5 recognized as NaN by default.  Notably absent is
+        # 'None' which is used in some spec files to be the object `None` not
+        # the float value NaN.
+        cfg = pd.read_csv(
+            file_name,
+            comment="#",
+            na_values=[
+                "",
+                "#N/A",
+                "#N/A N/A",
+                "#NA",
+                "-1.#IND",
+                "-1.#QNAN",
+                "-NaN",
+                "-nan",
+                "1.#IND",
+                "1.#QNAN",
+                "<NA>",
+                "N/A",
+                "NA",
+                "NULL",
+                "NaN",
+                "n/a",
+                "nan",
+                "null",
+            ],
+            keep_default_na=False,
+        )
+
     except Exception as e:
         logger.error(f"Error reading spec file: {file_name}")
         logger.error(str(e))
diff --git a/activitysim/core/configuration/logit.py b/activitysim/core/configuration/logit.py
index d03bcab778..a7c615d0c3 100644
--- a/activitysim/core/configuration/logit.py
+++ b/activitysim/core/configuration/logit.py
@@ -77,6 +77,31 @@ class BaseLogitComponentSettings(PydanticCompute):
     CONSTANTS: dict[str, Any] = {}
     """Named constants usable in the utility expressions."""
 
+    preprocessor: PreprocessorSettings | list[PreprocessorSettings] | None = None
+    """Chooser preprocessor settings.
+
+    This is a set of expressions to be evaluated on the choosers
+    before the logit model is run. It is used to prepare the choosers
+    for the logit model by adding columns that are used in the
+    utility expressions.
+    """
+
+    annotate_households: PreprocessorSettings | None = None
+    """Annotate households output tables with additional columns.
+
+    These settings are used to add additional columns to the output tables
+    after the logit model is run. They are typically used to add
+    additional attributes that are derived from the model results.
+    """
+    annotate_persons: PreprocessorSettings | None = None
+    """Annotate persons output tables with additional columns."""
+    annotate_tours: PreprocessorSettings | None = None
+    """Annotate tours output tables with additional columns."""
+    annotate_trips: PreprocessorSettings | None = None
+    """Annotate trips output tables with additional columns."""
+    annotate_vehicles: PreprocessorSettings | None = None
+    """Annotate vehicles output tables with additional columns."""
+
     # sharrow_skip is deprecated in factor of compute_settings.sharrow_skip
     @model_validator(mode="before")
     @classmethod
@@ -187,8 +212,11 @@ class LocationComponentSettings(BaseLogitComponentSettings):
     SAMPLE_SIZE: int
     """This many candidate alternatives will be sampled for each choice."""
 
-    LOGSUM_SETTINGS: Path
-    """Settings for the logsum computation."""
+    LOGSUM_SETTINGS: Path | None = None
+    """
+    Settings for the logsum computation.
+    If None, no logsum is computed and logsum field is populated with zeros.
+    """
 
     explicit_chunk: float = 0
     """
@@ -196,6 +224,11 @@ class LocationComponentSettings(BaseLogitComponentSettings):
     If less than 1, use this fraction of the total number of rows.
     """
 
+    alts_preprocessor_sample: PreprocessorSettings | None = None
+    """Alternatives preprocessor settings to use when sampling alternatives."""
+    alts_preprocessor_simulate: PreprocessorSettings | None = None
+    """Alternatives preprocessor settings to use when simulating choices."""
+
 
 class TourLocationComponentSettings(LocationComponentSettings, extra="forbid"):
     # Logsum-related settings
@@ -207,7 +240,6 @@ class TourLocationComponentSettings(LocationComponentSettings, extra="forbid"):
 
     SEGMENTS: list[str] | None = None
     SIZE_TERM_SELECTOR: str | None = None
-    annotate_tours: PreprocessorSettings | None = None
 
     CHOOSER_FILTER_COLUMN_NAME: str | None = None
     DEST_CHOICE_COLUMN_NAME: str | None = None
@@ -221,8 +253,6 @@ class TourLocationComponentSettings(LocationComponentSettings, extra="forbid"):
     SEGMENT_IDS: dict[str, int] | dict[str, str] | dict[str, bool] | None = None
     SHADOW_PRICE_TABLE: str | None = None
     MODELED_SIZE_TABLE: str | None = None
-    annotate_persons: PreprocessorSettings | None = None
-    annotate_households: PreprocessorSettings | None = None
     SIMULATE_CHOOSER_COLUMNS: list[str] | None = None
     ALT_DEST_COL_NAME: str
     LOGSUM_TOUR_PURPOSE: str | dict[str, str] | None = None
@@ -249,8 +279,6 @@ class TourModeComponentSettings(TemplatedLogitComponentSettings, extra="forbid")
     COMPUTE_TRIP_MODE_CHOICE_LOGSUMS: bool = False
     tvpb_mode_path_types: dict[str, Any] | None = None
     FORCE_ESCORTEE_CHAUFFEUR_MODE_MATCH: bool = True
-    annotate_tours: PreprocessorSettings | None = None
-    preprocessor: PreprocessorSettings | list[PreprocessorSettings] | None = None
     nontour_preprocessor: PreprocessorSettings | list[
         PreprocessorSettings
     ] | None = None
diff --git a/activitysim/core/configuration/top.py b/activitysim/core/configuration/top.py
index 024f878a46..5047be32e8 100644
--- a/activitysim/core/configuration/top.py
+++ b/activitysim/core/configuration/top.py
@@ -720,6 +720,13 @@ def _check_store_skims_in_shm(self):
     .. versionadded:: 1.3
     """
 
+    check_model_settings: bool = True
+    """
+    run checks to validate that YAML settings files are loadable and spec and coefficent csv can be resolved.
+
+    should catch many common errors early, including missing required configurations or specified coefficient labels without defined values.  
+    """
+
     other_settings: dict[str, Any] = None
 
     def _get_attr(self, attr):
diff --git a/activitysim/core/expressions.py b/activitysim/core/expressions.py
index 413636d3f4..e6ef0b8e69 100644
--- a/activitysim/core/expressions.py
+++ b/activitysim/core/expressions.py
@@ -6,7 +6,7 @@
 
 import pandas as pd
 
-from activitysim.core import assign, simulate, tracing, workflow
+from activitysim.core import config, assign, simulate, tracing, workflow
 from activitysim.core.configuration.base import PreprocessorSettings, PydanticBase
 from activitysim.core.util import (
     assign_in_place,
@@ -184,26 +184,65 @@ def assign_columns(
 def annotate_preprocessors(
     state: workflow.State,
     df: pd.DataFrame,
-    locals_dict,
-    skims,
+    locals_dict: dict,
+    skims: dict | None,
     model_settings: PydanticBase | dict,
     trace_label: str,
+    preprocessor_setting_name: str = "preprocessor",
 ):
-    locals_d = {}
-    locals_d.update(locals_dict)
-    locals_d.update(skims)
+    """
+    Look through the preprocessor settings and apply the calculations to the dataframe.
+    This is generally called before the main model calculations to prepare the data.
+
+    Parameters
+    ----------
+    state : workflow.State
+        The current state of the workflow.
+    df : pd.DataFrame
+        DataFrame to which the preprocessor settings will be applied.
+    locals_dict : dict
+        Dictionary of local variables to be used in the expressions.
+    skims : dict | None
+        Dictionary of skims to be used in the expressions.
+    model_settings : PydanticBase | dict
+        Model settings containing the preprocessor settings.
+    trace_label : str
+        Label for tracing the operations.
+    preprocessor_setting_name : str
+        Name of the preprocessor settings key in the model settings.
+
+    Returns
+    -------
+    None -- dataframe is modified in place
+
+    """
+    if isinstance(model_settings, PydanticBase):
+        preprocessor_settings = getattr(model_settings, preprocessor_setting_name, [])
+    elif isinstance(model_settings, dict):
+        preprocessor_settings = model_settings.get(preprocessor_setting_name, [])
+    else:
+        raise ValueError(
+            f"Expected model_settings to be PydanticBase or dict, got {type(model_settings)}"
+        )
+
+    if not preprocessor_settings or preprocessor_settings == []:
+        return
 
-    try:
-        preprocessor_settings = model_settings.preprocessor
-    except AttributeError:
-        preprocessor_settings = model_settings.get("preprocessor", [])
-    if preprocessor_settings is None:
-        preprocessor_settings = []
     if not isinstance(preprocessor_settings, list):
         assert isinstance(preprocessor_settings, dict | PreprocessorSettings)
         preprocessor_settings = [preprocessor_settings]
 
-    simulate.set_skim_wrapper_targets(df, skims)
+    locals_d = {}
+    locals_d.update(locals_dict)
+    if skims:
+        try:
+            simulate.set_skim_wrapper_targets(df, skims)
+            locals_d.update(skims)
+        except AssertionError as e:
+            logger.warning(
+                "Failed to set skim wrapper targets: %s. Skims wrappers may not be used in expressions.",
+                e,
+            )
 
     for preproc_settings in preprocessor_settings:
         results = compute_columns(
@@ -211,7 +250,9 @@ def annotate_preprocessors(
             df=df,
             model_settings=preproc_settings,
             locals_dict=locals_d,
-            trace_label=trace_label,
+            trace_label=tracing.extend_trace_label(
+                trace_label, preprocessor_setting_name
+            ),
         )
 
         assign_in_place(
@@ -219,6 +260,85 @@ def annotate_preprocessors(
         )
 
 
+def annotate_tables(
+    state: workflow.State,
+    model_settings: PydanticBase | dict,
+    trace_label: str,
+    skims: dict | None = None,
+    locals_dict: dict | None = None,
+):
+    """
+    Look through the annotate settings and apply the calculations to the tables.
+    This is generally called after the main model calculations to add data to output tables.
+
+    Parameters
+    ----------
+    state : workflow.State
+        The current state of the workflow.
+    model_settings : PydanticBase | dict
+        Model settings containing the annotation settings for various tables.
+    trace_label : str
+        Label for tracing the operations.
+    skims : dict | None
+        Dictionary of skims to be used in the expressions, if applicable.
+    locals_dict : dict | None
+        Dictionary of local variables to be used in the expressions, if applicable.
+
+    Returns
+    -------
+    None -- tables are modified in place
+    """
+
+    # process tables in least to most aggregated order
+    tables = ["trips", "tours", "vehicles", "persons", "households"]
+
+    for table_name in tables:
+        if isinstance(model_settings, PydanticBase):
+            annotate_settings = getattr(model_settings, f"annotate_{table_name}", None)
+        elif isinstance(model_settings, dict):
+            annotate_settings = model_settings.get(f"annotate_{table_name}", None)
+        else:
+            raise ValueError(
+                f"Expected model_settings to be PydanticBase or dict, got {type(model_settings)}"
+            )
+
+        if annotate_settings is None:
+            continue
+        assert isinstance(
+            annotate_settings, (dict, PreprocessorSettings)
+        ), f"Expected annotate_{table_name} to be dict or PreprocessorSettings, got {type(annotate_settings)}"
+
+        df = state.get_dataframe(table_name)
+
+        locals_d = {}
+        if skims:
+            try:
+                simulate.set_skim_wrapper_targets(df, skims)
+                locals_d.update(skims)
+            except AssertionError as e:
+                logger.warning(
+                    "Failed to set skim wrapper targets: %s. Skims wrappers may not be used in expressions.",
+                    e,
+                )
+        if locals_dict:
+            locals_d.update(locals_dict)
+
+        results = compute_columns(
+            state,
+            df=df,
+            model_settings=annotate_settings,
+            locals_dict=locals_d,
+            trace_label=tracing.extend_trace_label(trace_label, "annotate_persons"),
+        )
+
+        assign_in_place(
+            df, results, state.settings.downcast_int, state.settings.downcast_float
+        )
+
+        # write table with new columns back to state
+        state.add_table(table_name, df)
+
+
 def filter_chooser_columns(choosers, chooser_columns):
     missing_columns = [c for c in chooser_columns if c not in choosers]
     if missing_columns:
diff --git a/activitysim/core/fast_eval.py b/activitysim/core/fast_eval.py
new file mode 100644
index 0000000000..189db086c1
--- /dev/null
+++ b/activitysim/core/fast_eval.py
@@ -0,0 +1,106 @@
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, Any
+
+import pandas as pd
+from pandas import eval as _eval
+
+if TYPE_CHECKING:
+    from collections.abc import Hashable, Iterator, Mapping, Sequence
+
+    from pandas._typing import ArrayLike
+
+
+def _get_cleaned_column_resolvers(
+    df: pd.DataFrame, raw: bool = True
+) -> dict[Hashable, ArrayLike | pd.Series]:
+    """
+    Return the special character free column resolvers of a dataframe.
+
+    Column names with special characters are 'cleaned up' so that they can
+    be referred to by backtick quoting.
+    Used in :meth:`DataFrame.eval`.
+    """
+    from pandas import Series
+    from pandas.core.computation.parsing import clean_column_name
+
+    if isinstance(df, pd.Series):
+        return {clean_column_name(df.name): df}
+
+    # CHANGED FROM PANDAS: do not even convert the arrays to pd.Series, just
+    # give the raw arrays to the compute engine. This is potentially a breaking
+    # change if any of the operations in the eval string require a pd.Series.
+    if raw:
+        # Performance tradeoff: in the dict below, we iterate over `df.items`,
+        # which yields tuples of (column_name, data as pd.Series). This is marginally
+        # slower than iterating over `df.columns` and `df._iter_column_arrays()`,
+        # but the latter is not in Pandas' public API, and may be removed in the future.
+        return {
+            clean_column_name(k): v for k, v in df.items() if not isinstance(k, int)
+        }
+
+    # CHANGED FROM PANDAS: do not call df.dtype inside the dict comprehension loop
+    # This update has been made in https://github.com/pandas-dev/pandas/pull/59573,
+    # but appears not to have been released yet as of pandas 2.2.3
+    dtypes = df.dtypes
+
+    return {
+        clean_column_name(k): Series(
+            v, copy=False, index=df.index, name=k, dtype=dtypes[k]
+        ).__finalize__(df)
+        for k, v in zip(df.columns, df._iter_column_arrays())
+        if not isinstance(k, int)
+    }
+
+
+def fast_eval(df: pd.DataFrame, expr: str, **kwargs) -> Any | None:
+    """
+    Evaluate a string describing operations on DataFrame columns.
+
+    Operates on columns only, not specific rows or elements.  This allows
+    `eval` to run arbitrary code, which can make you vulnerable to code
+    injection if you pass user input to this function.
+
+    This function is a wrapper that replaces :meth:`~pandas.DataFrame.eval`
+    with a more efficient version than in the default pandas library (as
+    of pandas 2.2.3). It is recommended to use this function instead of
+    :meth:`~pandas.DataFrame.eval` for better performance. However, if you
+    encounter issues with this function, you can switch back to the default
+    pandas eval by changing the function call from `fast_eval(df, ...)` to
+    `df.eval(...)`.
+
+    Parameters
+    ----------
+    expr : str
+        The expression string to evaluate.
+    **kwargs
+        See the documentation for  :meth:`~pandas.DataFrame.eval` for complete
+        details on the keyword arguments accepted.
+
+    Returns
+    -------
+    ndarray, scalar, or pandas object
+        The result of the evaluation.
+    """
+
+    inplace = False
+    kwargs["level"] = kwargs.pop("level", 0) + 1
+    index_resolvers = df._get_index_resolvers()
+    column_resolvers = _get_cleaned_column_resolvers(df)
+    resolvers = column_resolvers, index_resolvers
+    if "target" not in kwargs:
+        kwargs["target"] = df
+    kwargs["resolvers"] = tuple(kwargs.get("resolvers", ())) + resolvers
+
+    try:
+        return pd.Series(
+            _eval(expr, inplace=inplace, **kwargs), index=df.index, name=expr
+        ).__finalize__(df)
+    except Exception as e:
+        # Initially assume that the exception is caused by the potentially
+        # breaking change in _get_cleaned_column_resolvers, and try again
+        # TODO: what kind of exception should be caught here so it is less broad
+        column_resolvers = _get_cleaned_column_resolvers(df, raw=False)
+        resolvers = column_resolvers, index_resolvers
+        kwargs["resolvers"] = kwargs["resolvers"][:-2] + resolvers
+        return _eval(expr, inplace=inplace, **kwargs)
diff --git a/activitysim/core/input.py b/activitysim/core/input.py
index 51730fcf02..734679996a 100644
--- a/activitysim/core/input.py
+++ b/activitysim/core/input.py
@@ -5,6 +5,7 @@
 import logging
 import os
 
+import numpy as np
 import pandas as pd
 
 from activitysim.core import util, workflow
@@ -194,7 +195,7 @@ def read_from_table_info(table_info: InputTable, state):
                 assert (
                     df[index_col] == df[index_col].astype(int)
                 ).all(), f"Index col '{index_col}' has non-integer values"
-                df[index_col] = df[index_col].astype(int)
+                df[index_col] = df[index_col].astype(np.int64)
             df.set_index(index_col, inplace=True)
         else:
             # FIXME not sure we want to do this. More likely they omitted index col than that they want to name it?
diff --git a/activitysim/core/interaction_simulate.py b/activitysim/core/interaction_simulate.py
index 1089de3edc..f14f0201d9 100644
--- a/activitysim/core/interaction_simulate.py
+++ b/activitysim/core/interaction_simulate.py
@@ -14,6 +14,7 @@
 
 from activitysim.core import chunk, logit, simulate, tracing, util, workflow
 from activitysim.core.configuration.base import ComputeSettings
+from activitysim.core.fast_eval import fast_eval
 
 logger = logging.getLogger(__name__)
 
@@ -287,7 +288,7 @@ def to_series(x):
                         if expr.startswith("@"):
                             v = to_series(eval(expr[1:], globals(), locals_d))
                         else:
-                            v = df.eval(expr, resolvers=[locals_d])
+                            v = fast_eval(df, expr, resolvers=[locals_d])
 
                         if check_for_variability and v.std() == 0:
                             logger.info(
@@ -556,7 +557,7 @@ def to_series(x):
                             if expr.startswith("@"):
                                 v = to_series(eval(expr[1:], globals(), locals_d))
                             else:
-                                v = df.eval(expr, resolvers=[locals_d])
+                                v = fast_eval(df, expr, resolvers=[locals_d])
                             if check_for_variability and v.std() == 0:
                                 logger.info(
                                     "%s: no variability (%s) in: %s"
diff --git a/activitysim/core/los.py b/activitysim/core/los.py
index 8586a3018c..5ac90f930e 100644
--- a/activitysim/core/los.py
+++ b/activitysim/core/los.py
@@ -780,7 +780,15 @@ def get_mazpairs(self, omaz, dmaz, attribute):
                 self.maz_ceiling
             ) + np.asanyarray(dmaz, dtype=np.int64)
         else:
-            i = np.asanyarray(omaz) * self.maz_ceiling + np.asanyarray(dmaz)
+            # if we have less than a 32-bit index, it will
+            # overflow so we need to upgrade to at least 32 bit
+            omaz_as_array = np.asanyarray(omaz)
+            if omaz_as_array.dtype not in (np.int32, np.int64):
+                omaz_as_array = omaz_as_array.astype(np.int32)
+            dmaz_as_array = np.asanyarray(dmaz)
+            if dmaz_as_array.dtype not in (np.int32, np.int64):
+                dmaz_as_array = dmaz_as_array.astype(np.int32)
+            i = omaz_as_array * self.maz_ceiling + dmaz_as_array
         s = util.quick_loc_df(i, self.maz_to_maz_df, attribute)
 
         # FIXME - no point in returning series?
diff --git a/activitysim/core/simulate.py b/activitysim/core/simulate.py
index fcffcf6066..2afed7f014 100644
--- a/activitysim/core/simulate.py
+++ b/activitysim/core/simulate.py
@@ -32,6 +32,7 @@
     TemplatedLogitComponentSettings,
 )
 from activitysim.core.estimation import Estimator
+from activitysim.core.fast_eval import fast_eval
 from activitysim.core.simulate_consts import (
     ALT_LOSER_UTIL,
     SPEC_DESCRIPTION_NAME,
@@ -656,7 +657,7 @@ def eval_utilities(
                         if expr.startswith("@"):
                             expression_value = eval(expr[1:], globals_dict, locals_dict)
                         else:
-                            expression_value = choosers.eval(expr)
+                            expression_value = fast_eval(choosers, expr)
 
                         if len(w) > 0:
                             for wrn in w:
@@ -913,7 +914,7 @@ def to_array(x):
             if expr.startswith("@"):
                 expr_values = to_array(eval(expr[1:], globals_dict, locals_dict))
             else:
-                expr_values = to_array(df.eval(expr))
+                expr_values = to_array(fast_eval(df, expr))
             # read model spec should ensure uniqueness, otherwise we should uniquify
             assert expr not in values
             values[expr] = expr_values
diff --git a/activitysim/core/skim_dataset.py b/activitysim/core/skim_dataset.py
index 1ed871ec0f..1e359af3d3 100644
--- a/activitysim/core/skim_dataset.py
+++ b/activitysim/core/skim_dataset.py
@@ -3,6 +3,7 @@
 import glob
 import logging
 import os
+import re
 import time
 from functools import partial
 from pathlib import Path
@@ -499,8 +500,6 @@ def _apply_digital_encoding(dataset, digital_encodings):
         As modified
     """
     if digital_encodings:
-        import re
-
         # apply once, before saving to zarr, will stick around in cache
         for encoding in digital_encodings:
             logger.info(f"applying zarr digital-encoding: {encoding}")
@@ -753,6 +752,68 @@ def load_skim_dataset_to_shared_memory(state, skim_tag="taz") -> xr.Dataset:
         d = None  # skims are not stored in shared memory, so we need to load them
     do_not_save_zarr = False
 
+    potential_conflicts = network_los_preload.skims_info.get(skim_tag).skim_conflicts
+    if potential_conflicts:
+        # There are some conflicts in the skims, where both time-dependent
+        # and time-agnostic skim with the same name are present.  We need
+        # to check we have sufficient ignore rules in place to correct this
+        # condition.
+
+        def _should_ignore(ignore, x):
+            if isinstance(ignore, str):
+                ignore = [ignore]
+            if ignore is not None:
+                for i in ignore:
+                    if re.match(i, x):
+                        return True
+            return False
+
+        ignore = state.settings.omx_ignore_patterns
+        problems = []
+        for time_agnostic, time_dependent in potential_conflicts.items():
+            # option 1, ignore all the time-dependent skims
+            # if this is fulfilled, we are ok and can proceed
+            if all((_should_ignore(ignore, i)) for i in time_dependent):
+                continue
+            # option 2, ignore the time-agnostic skim
+            # if this is fulfilled, we are ok and can proceed
+            if _should_ignore(ignore, time_agnostic):
+                continue
+            # otherwise, we have a problem.  collect all the problems
+            # and raise an error at the end listing all of them
+            problems.append(time_agnostic)
+        if problems:
+            solution_1 = "__.+'\n  - '^".join(problems)
+            solution_2 = "$'\n  - '^".join(problems)
+            # we have a problem, raise an error
+            error_message = (
+                f"skims {problems} are present in both time-dependent and time-agnostic formats.\n"
+                "Please add ignore rules to the omx_ignore_patterns setting to resolve this issue.\n"
+                "To ignore the time dependent skims, add the following to your settings file:\n"
+                "\n"
+                "omx_ignore_patterns:\n"
+                f"  - '^{solution_1}__.+'\n"
+                "\n"
+                "To ignore the time agnostic skims, add the following to your settings file:\n"
+                "\n"
+                "omx_ignore_patterns:\n"
+                f"  - '^{solution_2}$'\n"
+                "\n"
+                "You can also do some variation or combination of the two, as long as you resolve\n"
+                "the conflict(s). In addition, note that minor edits to model spec files may be\n"
+                "needed to accommodate these changes in how skim data is represented (e.g. changing\n"
+                "`odt_skims` to `od_skims`, or similar modifications wherever the offending variable\n"
+                "names are used).  Alternatively, you can modify the skim data in the source files to\n"
+                "remove the naming conflicts, which is typically done upstream of ActivitySim in\n"
+                "whatever tool you are using to create the skims in the first place.\n"
+                "\n"
+                "See [https://activitysim.github.io/?q=skims] for more information.\n"
+            )
+            # write the error message to the log
+            logger.error(error_message)
+            # raise an error to stop the run, put the entire error message there also
+            raise ValueError(error_message)
+
     if d is None:
         time_periods = _dedupe_time_periods(network_los_preload)
         if zarr_file:
diff --git a/activitysim/core/skim_dict_factory.py b/activitysim/core/skim_dict_factory.py
index 78c7053583..e0bd23ef3e 100644
--- a/activitysim/core/skim_dict_factory.py
+++ b/activitysim/core/skim_dict_factory.py
@@ -8,6 +8,7 @@
 import os
 import warnings
 from abc import ABC
+from collections import defaultdict
 
 import numpy as np
 import openmatrix as omx
@@ -86,6 +87,7 @@ def __init__(self, state, skim_tag, network_los):
         self.offset_map_name = None
         self.offset_map = None
         self.omx_keys = None
+        self.skim_conflicts = None
         self.base_keys = None
         self.block_offsets = None
 
@@ -117,7 +119,12 @@ def load_skim_info(self, state, skim_tag):
             logger.debug(f"load_skim_info {skim_tag} reading {omx_file_path}")
 
             with omx.open_file(omx_file_path, mode="r") as omx_file:
-                # fixme call to omx_file.shape() failing in windows p3.5
+
+                # Check the shape of the skims. All skim files loaded within this
+                # loop need to have the same shape.   For the first file, the
+                # shape is set to the omx_shape attribute, so we know what shape
+                # to expect.  For subsequent files, we check that the shape is the
+                # same as the first file.  If not, we raise an error.
                 if self.omx_shape is None:
                     self.omx_shape = tuple(
                         int(i) for i in omx_file.shape()
@@ -127,6 +134,12 @@ def load_skim_info(self, state, skim_tag):
                         int(i) for i in omx_file.shape()
                     ), f"Mismatch shape {self.omx_shape} != {omx_file.shape()}"
 
+                # Check that all the matrix names are unique across all the
+                # omx files. This check is only looking at the name as stored in
+                # the file, and is not processing any time period transformations.
+                # If duplicate names are found, a warning is issued. This is not
+                # a fatal error, but it is inefficient and may be symptom of a
+                # deeper problem.
                 for skim_name in omx_file.listMatrices():
                     if skim_name in self.omx_manifest:
                         warnings.warn(
@@ -134,6 +147,11 @@ def load_skim_info(self, state, skim_tag):
                         )
                     self.omx_manifest[skim_name] = omx_file_path
 
+                # We load the offset map if it exists. This is expected to be
+                # a 1D array of integers that that gives ID values for each TAZ
+                # in the skims. ActivitySim expects there to be only one such
+                # mapping, although it can appear multiple times (e.g. once in
+                # each file).
                 for m in omx_file.listMappings():
                     if self.offset_map is None:
                         self.offset_map_name = m
@@ -146,21 +164,54 @@ def load_skim_info(self, state, skim_tag):
                                 f"Multiple mappings in omx file: {self.offset_map_name} != {m}"
                             )
 
-        # - omx_keys dict maps skim key to omx_key
-        # DISTWALK: DISTWALK
-        # ('DRV_COM_WLK_BOARDS', 'AM'): DRV_COM_WLK_BOARDS__AM, ...
+        # Create the `omx_keys` mapping, which connects skim key to omx_key.
+        # The skim key is either a single string that names a skim that is not
+        # time-dependent, or a 2-tuple of strings which names a skim and a time
+        # period. The omx_key is the original name of the skim in the omx file.
+        # For non-time-dependent skims, the omx_key is the same as the skim key,
+        # e.g. DISTWALK: DISTWALK.  For time-dependent skims, the omx_key is the
+        # skim key with the time period appended,
+        # e.g. ('DRV_COM_WLK_BOARDS', 'AM'): DRV_COM_WLK_BOARDS__AM.
         self.omx_keys = dict()
         for skim_name in self.omx_manifest.keys():
             key1, sep, key2 = skim_name.partition("__")
-
             # - ignore composite tags not in dim3_tags_to_load
             if dim3_tags_to_load and sep and key2 not in dim3_tags_to_load:
+                # If a skim is found that has a time period that is not one of
+                # the known named time periods, a warning is issued, and that
+                # skim is ignored. This is not a fatal error, but it may be a
+                # symptom of a deeper problem.
+                warnings.warn(f"skim '{key1}' has unknown time period '{key2}'")
                 continue
-
             skim_key = (key1, key2) if sep else key1
-
             self.omx_keys[skim_key] = skim_name
 
+        # Create a skim_conflicts set, which identifies any skims that have both
+        # time-dependent and time-agnostic versions. This condition in and of
+        # itself is not a fatal error, as it is possible to have both types of skims
+        # in the same data when using the legacy codebase. When using skim_dataset
+        # instead of skim_dictionary (the former is required when using sharrow) this
+        # condition is no longer allowed, although we can potentially recover if
+        # the user has specified instructions that certain skim variables are not
+        # to be loaded. The recovery option is checked later, in the skim_dataset
+        # module, as that is where the skim variables are actually loaded.
+        time_dependent_skims = defaultdict(set)
+        time_agnostic_skims = set()
+        for k, v in self.omx_keys.items():
+            if isinstance(k, tuple):
+                time_dependent_skims[k[0]].add(v)
+            else:
+                time_agnostic_skims.add(k)
+        self.skim_conflicts = {
+            k: v for k, v in time_dependent_skims.items() if k in time_agnostic_skims
+        }
+        if self.skim_conflicts:
+            msg = "some skims have both time-dependent and time-agnostic versions:"
+            for k in self.skim_conflicts:
+                msg += f"\n- {k}"
+            warnings.warn(msg)
+
+        # Count the number of skims in the omx file
         self.num_skims = len(self.omx_keys)
 
         # - key1_subkeys dict maps key1 to dict of subkeys with that key1
diff --git a/activitysim/core/test/_tools.py b/activitysim/core/test/_tools.py
index b8f338ce9f..618b467bb9 100644
--- a/activitysim/core/test/_tools.py
+++ b/activitysim/core/test/_tools.py
@@ -165,8 +165,8 @@ def progressive_checkpoint_test(
         if ref_target.exists():
             try:
                 state.checkpoint.check_against(ref_target, checkpoint_name=step_name)
-            except Exception:
-                print(f"> {name} {step_name}: ERROR")
+            except Exception as e:
+                print(f"> {name} {step_name}: ERROR {e}")
                 raise
             else:
                 print(f"> {name} {step_name}: ok")
diff --git a/activitysim/core/test/configs/preprocessor.csv b/activitysim/core/test/configs/preprocessor.csv
new file mode 100644
index 0000000000..e2f5c29b97
--- /dev/null
+++ b/activitysim/core/test/configs/preprocessor.csv
@@ -0,0 +1,8 @@
+Description,Target,Expression
+income from households table,_hh_income,"reindex(households.income, df.household_id)"
+income test,is_high_income,_hh_income > 50000
+count persons test,num_persons,persons.groupby('household_id').size().reindex(df.household_id)
+skim dict test,od_distance,"skim_dict.lookup(df.origin, df.destination, 'DIST')"
+skim wrapper test,od_distance_wrapper,skims2d['DIST']
+sov time,od_sov_time,skims3d['SOV_TIME']
+testing constant from locals_dict,constant_test,test_constant / 2
\ No newline at end of file
diff --git a/activitysim/core/test/test_preprocessing.py b/activitysim/core/test/test_preprocessing.py
new file mode 100644
index 0000000000..06c7785603
--- /dev/null
+++ b/activitysim/core/test/test_preprocessing.py
@@ -0,0 +1,197 @@
+# ActivitySim
+# See full license in LICENSE.txt.
+from __future__ import annotations
+
+import logging
+import logging.config
+import os.path
+
+import numpy as np
+import pandas as pd
+import pytest
+
+from activitysim.core import workflow, expressions, los
+from activitysim.core.configuration.base import PreprocessorSettings
+
+
+def add_canonical_dirs(configs_dir_name):
+    state = workflow.State()
+    los_configs_dir = os.path.join(os.path.dirname(__file__), f"los/{configs_dir_name}")
+    configs_dir = os.path.join(os.path.dirname(__file__), "configs")
+    data_dir = os.path.join(os.path.dirname(__file__), f"los/data")
+    output_dir = os.path.join(os.path.dirname(__file__), "output")
+    state.initialize_filesystem(
+        working_dir=os.path.dirname(__file__),
+        configs_dir=(los_configs_dir, configs_dir),
+        output_dir=output_dir,
+        data_dir=(data_dir,),
+    )
+    return state
+
+
+@pytest.fixture
+def state() -> workflow.State:
+    state = add_canonical_dirs("configs_1z").load_settings()
+    network_los = los.Network_LOS(state)
+    network_los.load_data()
+    state.set("skim_dict", network_los.get_default_skim_dict())
+    return state
+
+
+@pytest.fixture(scope="module")
+def households():
+    return pd.DataFrame(
+        {
+            "household_id": [1, 2, 3],
+            "home_zone_id": [1, 2, 3],
+            "income": [50000, 60000, 70000],
+        }
+    ).set_index("household_id")
+
+
+@pytest.fixture(scope="module")
+def persons():
+    return pd.DataFrame(
+        {
+            "person_id": [1, 2, 3, 4, 5],
+            "household_id": [1, 1, 2, 2, 3],
+            "age": [25, 30, 22, 28, 35],
+        }
+    ).set_index("person_id")
+
+
+@pytest.fixture(scope="module")
+def tours():
+    return pd.DataFrame(
+        {
+            "tour_id": [1, 2, 3],
+            "household_id": [1, 2, 3],
+            "person_id": [1, 2, 3],
+            "tour_type": ["work", "shopping", "othmaint"],
+            "origin": [1, 2, 3],
+            "destination": [2, 3, 1],
+            "period": ["AM", "PM", "AM"],
+        }
+    ).set_index("tour_id")
+
+
+def check_outputs(tours):
+    """
+    Check that the tours DataFrame has the expected new columns and values
+    according to the preprocessor / annotator expressions.
+    """
+    new_cols = [
+        "is_high_income",
+        "num_persons",
+        "od_distance",
+        "od_distance_wrapper",
+        "od_sov_time",
+        "constant_test",
+    ]
+
+    # check all new columns are added
+    assert all(
+        col in tours.columns for col in new_cols
+    ), f"Missing columns: {set(new_cols) - set(tours.columns)}"
+
+    # column with _ shouldn't be in the columns
+    assert (
+        "_hh_income" not in tours.columns
+    ), f"Unexpected column found: _hh_income in {tours.columns}"
+
+    # check the values in the new columns
+    exppected_output = pd.DataFrame(
+        {
+            "tour_id": [1, 2, 3],
+            "is_high_income": [False, True, True],
+            "num_persons": [2, 2, 1],
+            "od_distance": [0.24, 0.28, 0.57],
+            "od_distance_wrapper": [0.24, 0.28, 0.57],
+            "od_sov_time": [0.78, 0.89, 1.76],
+            "constant_test": [21, 21, 21],
+        }
+    ).set_index("tour_id")
+    pd.testing.assert_frame_equal(tours[new_cols], exppected_output, check_dtype=False)
+
+
+def setup_skims(state: workflow.State):
+    """Creates a set of skim wrappers to test in expressions."""
+    skim_dict = state.get("skim_dict")
+    skims3d = skim_dict.wrap_3d(
+        orig_key="origin", dest_key="destination", dim3_key="period"
+    )
+    skims2d = skim_dict.wrap("origin", "destination")
+    return {"skims3d": skims3d, "skims2d": skims2d}
+
+
+def test_preprocessor(state: workflow.State, households, persons, tours):
+    # adding dataframes to state so they can be accessed in preprocessor
+    state.add_table("households", households)
+    state.add_table("persons", persons)
+    original_tours = tours.copy()
+    state.add_table("tours", original_tours)
+
+    # defining preprocessor
+    preprocessor_settings = PreprocessorSettings(
+        SPEC="preprocessor.csv",
+        DF="tours",
+        TABLES=["persons", "households"],
+    )
+    model_settings = {"preprocessor": preprocessor_settings}
+
+    # annotating preprocessors
+    expressions.annotate_preprocessors(
+        state,
+        df=tours,
+        locals_dict={"test_constant": 42},
+        skims=setup_skims(state),
+        model_settings=model_settings,
+        trace_label="ci_test_preprocessor",
+    )
+
+    check_outputs(tours)
+
+    state_tours = state.get_table("tours")
+    # check that the state table is not modified
+    pd.testing.assert_frame_equal(state_tours, original_tours)
+
+
+def test_annotator(state, households, persons, tours):
+    # adding dataframes to state so they can be accessed in annotator
+    state.add_table("households", households)
+    state.add_table("persons", persons)
+    original_tours = tours.copy()
+    state.add_table("tours", original_tours)
+
+    # defining annotator
+    annotator_settings = PreprocessorSettings(
+        SPEC="preprocessor.csv",
+        DF="tours",
+        TABLES=["persons", "households"],
+    )
+    model_settings = {"annotate_tours": annotator_settings}
+
+    # annotating preprocessors
+    expressions.annotate_tables(
+        state,
+        model_settings=model_settings,
+        trace_label="ci_test_annotator",
+        skims=setup_skims(state),
+        locals_dict={"test_constant": 42},
+    )
+
+    # outputs now put directly into the state object
+    check_outputs(state.get_table("tours"))
+
+    # test what happens if we try to annotate a table that does not exist
+    model_settings = {"annotate_trips": annotator_settings}
+
+    with pytest.raises(ValueError) as excinfo:
+        # this should raise an error because "trips" table does not exist in state
+        expressions.annotate_tables(
+            state,
+            model_settings=model_settings,
+            trace_label="ci_test_annotator",
+            skims=None,
+            locals_dict={"test_constant": 42},
+        )
diff --git a/activitysim/core/util.py b/activitysim/core/util.py
index eb874f2841..429d3eee01 100644
--- a/activitysim/core/util.py
+++ b/activitysim/core/util.py
@@ -74,7 +74,9 @@ def delete_files(file_list, trace_label):
                 logger.debug(f"{trace_label} deleting {file_path}")
                 os.unlink(file_path)
         except Exception as e:
-            logger.warning(f"{trace_label} exception (e) trying to delete {file_path}")
+            logger.warning(
+                f"{trace_label} exception ({e}) trying to delete {file_path}"
+            )
 
 
 def df_size(df):
@@ -289,7 +291,7 @@ def quick_loc_series(loc_list, target_series):
 
     left_on = "left"
 
-    if isinstance(loc_list, pd.Int64Index):
+    if isinstance(loc_list, pd.Index):
         left_df = pd.DataFrame({left_on: loc_list.values})
     elif isinstance(loc_list, pd.Series):
         left_df = loc_list.to_frame(name=left_on)
@@ -340,6 +342,24 @@ def assign_in_place(df, df2, downcast_int=False, downcast_float=False):
     common_columns = df2.columns.intersection(df.columns)
     if len(common_columns) > 0:
         old_dtypes = [df[c].dtype for c in common_columns]
+        # in pandas 2.x, update a categorical column with any new categories will cause TypeError
+        # so we need to add the new categories first
+        # this is a workaround for pandas 2.x, see discussion in
+        # https://github.com/ActivitySim/activitysim/discussions/946
+        for c in common_columns:
+            if isinstance(df[c].dtype, pd.CategoricalDtype):
+                if not isinstance(df2[c].dtype, pd.CategoricalDtype):
+                    # if df column is categorical, but df2 column is not
+                    # convert df2 column to categorical then union categories
+                    df2[c] = df2[c].astype("category")
+
+                # when df and df2 column are both categorical, union categories
+                from pandas.api.types import union_categoricals
+
+                uc = union_categoricals([df[c], df2[c]], sort_categories=True)
+                df[c] = pd.Categorical(df[c], categories=uc.categories)
+                df2[c] = pd.Categorical(df2[c], categories=uc.categories)
+
         df.update(df2)
 
         # avoid needlessly changing int columns to float
@@ -426,7 +446,7 @@ def auto_opt_pd_dtypes(
                 else:
                     df[col] = pd.to_numeric(df[col], downcast="float")
         # Skip if the column is already categorical
-        if pd.api.types.is_categorical_dtype(dtype):
+        if isinstance(dtype, pd.CategoricalDtype):
             continue
         # Handle integer types
         if pd.api.types.is_integer_dtype(dtype):
diff --git a/activitysim/core/workflow/state.py b/activitysim/core/workflow/state.py
index dd81534605..50ba0342a3 100644
--- a/activitysim/core/workflow/state.py
+++ b/activitysim/core/workflow/state.py
@@ -711,7 +711,18 @@ def get_pyarrow(
         if t is None:
             raise KeyError(tablename)
         if isinstance(t, pd.DataFrame):
-            t = pa.Table.from_pandas(t, preserve_index=True, columns=columns)
+            df = t
+            try:
+                t = pa.Table.from_pandas(df, preserve_index=True, columns=columns)
+            except (pa.ArrowTypeError, pa.ArrowInvalid):
+                # if there are object columns, try to convert them to categories
+                df = df.copy()
+                for k, dtype in df.dtypes.items():
+                    if dtype.kind == "O":
+                        df[k] = df[k].astype("str")
+                    elif dtype == "boolean":
+                        df[k] = df[k].astype("str")
+                t = pa.Table.from_pandas(df, preserve_index=True, columns=columns)
         if isinstance(t, pa.Table):
             if columns is not None:
                 t = t.select(columns)
@@ -1088,7 +1099,9 @@ def extend_table(self, table_name, df, axis=0):
                         if isinstance(df[c].dtype, pd.api.types.CategoricalDtype):
                             from pandas.api.types import union_categoricals
 
-                            uc = union_categoricals([table_df[c], df[c]])
+                            uc = union_categoricals(
+                                [table_df[c], df[c]], sort_categories=True
+                            )
                             table_df[c] = pd.Categorical(
                                 table_df[c], categories=uc.categories
                             )
diff --git a/activitysim/estimation/larch/scheduling.py b/activitysim/estimation/larch/scheduling.py
index c8600f8136..7d9461b5ca 100644
--- a/activitysim/estimation/larch/scheduling.py
+++ b/activitysim/estimation/larch/scheduling.py
@@ -8,6 +8,8 @@
 import pandas as pd
 import yaml
 
+from activitysim.core.fast_eval import fast_eval
+
 from .general import (
     apply_coefficients,
     construct_nesting_tree,
@@ -210,7 +212,7 @@ def construct_availability_ca(model, chooser_data, alt_codes_to_names):
             (
                 chooser_data[i.data]
                 if i.data in chooser_data
-                else chooser_data.eval(i.data)
+                else fast_eval(chooser_data, i.data)
             )
             for i in model.utility_co[acode]
             if (i.param == "-999" or i.param == "-999.0")
diff --git a/activitysim/estimation/larch/simple_simulate.py b/activitysim/estimation/larch/simple_simulate.py
index 2c585506a4..e608a50084 100644
--- a/activitysim/estimation/larch/simple_simulate.py
+++ b/activitysim/estimation/larch/simple_simulate.py
@@ -7,6 +7,8 @@
 import pandas as pd
 import yaml
 
+from activitysim.core.fast_eval import fast_eval
+
 from .general import (
     apply_coefficients,
     construct_nesting_tree,
@@ -43,7 +45,7 @@ def construct_availability(model, chooser_data, alt_codes_to_names):
             (
                 chooser_data[i.data]
                 if i.data in chooser_data
-                else chooser_data.eval(i.data)
+                else fast_eval(chooser_data, i.data)
             )
             for i in model.utility_co[acode]
             if i.param == "-999"
diff --git a/activitysim/examples/placeholder_sandag/test/regress/final_2_zone_proto_disaggregate_accessibility.csv b/activitysim/examples/placeholder_sandag/test/regress/final_2_zone_proto_disaggregate_accessibility.csv
index c48e699606..6d95be0ce7 100644
--- a/activitysim/examples/placeholder_sandag/test/regress/final_2_zone_proto_disaggregate_accessibility.csv
+++ b/activitysim/examples/placeholder_sandag/test/regress/final_2_zone_proto_disaggregate_accessibility.csv
@@ -1,4801 +1,4801 @@
-proto_person_id,proto_household_id,workplace_location_accessibility,othdiscr_accessibility,shopping_accessibility,pnum,military,pstudent,educ,grade,age,sex,ptype,pemploy,weeks,hours,DAP,age_16_to_19,age_16_p,adult,male,female,has_non_worker,has_retiree,has_preschool_kid,has_driving_kid,has_school_kid,has_full_time,has_part_time,has_university,student_is_employed,nonstudent_to_school,is_student,is_gradeschool,is_highschool,is_university,school_segment,is_worker,home_zone_id,value_of_time,HHT,auto_ownership,bldgsz,family,hh_value_of_time,hhsize,hinccat1,home_is_rural,home_is_urban,household_serial_no,hworkers,income,income_in_thousands,income_segment,median_value_of_time,non_family,num_adults,num_children,num_children_16_to_17,num_children_5_to_15,num_college_age,num_drivers,num_non_workers,num_workers,num_young_adults,num_young_children,persons,veh,TAZ,DISTRICT,SD,county_id,TOTHH,TOTPOP,TOTACRE,RESACRE,CIACRE,TOTEMP,AGE0519,RETEMPN,FPSEMPN,HEREMPN,OTHEMPN,AGREMPN,MWTEMPN,PRKCST,OPRKCST,area_type,HSENROLL,COLLFTE,COLLPTE,TOPOLOGY,TERMINAL,household_density,employment_density,density_index
-1,1,13.23777310067903,14.423674912520609,12.817998466911881,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,495,3.6993862007536533,1,0,2,True,3.6993862007536533,2,1,False,False,1,1,15000,15.0,1,6.01,False,2,0,0,0,0,2,1,1,0,0,2,0,3397,1,1,1,116,380,5.3783,3.2246367375,0.4402305725,7,74,0,0,6,1,0,0,0.0,0,5,0,0.0,0.0,1,0.0,31.651896286526128,1.9100282241869215,1.8013274309405114
-2,1,13.23777310067903,14.423674912520609,12.817998466911881,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,495,3.6993862007536533,1,0,2,True,3.6993862007536533,2,1,False,False,1,1,15000,15.0,1,6.01,False,2,0,0,0,0,2,1,1,0,0,2,0,3397,1,1,1,116,380,5.3783,3.2246367375,0.4402305725,7,74,0,0,6,1,0,0,0.0,0,5,0,0.0,0.0,1,0.0,31.651896286526128,1.9100282241869215,1.8013274309405114
-3,2,13.320732346619494,14.574051554713973,13.000298767542395,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,496,4.622160227939781,1,0,2,True,4.622160227939781,2,1,False,False,2,1,15000,15.0,1,6.01,False,2,0,0,0,0,2,1,1,0,0,2,0,3397,1,1,1,75,177,4.8346,3.40995984,0.37877687,14,29,4,3,6,1,0,0,0.0,0,5,0,0.0,0.0,1,0.0,19.795516484965777,3.695163077193612,3.113901469545178
-4,2,13.320732346619494,14.574051554713973,13.000298767542395,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,496,4.622160227939781,1,0,2,True,4.622160227939781,2,1,False,False,2,1,15000,15.0,1,6.01,False,2,0,0,0,0,2,1,1,0,0,2,0,3397,1,1,1,75,177,4.8346,3.40995984,0.37877687,14,29,4,3,6,1,0,0,0.0,0,5,0,0.0,0.0,1,0.0,19.795516484965777,3.695163077193612,3.113901469545178
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-2003,1002,11.804990874723892,13.806894714296726,12.413877690022115,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,496,21.850699459043174,1,2,2,True,21.850699459043174,2,2,False,False,1002,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3397,1,1,1,75,177,4.8346,3.40995984,0.37877687,14,29,4,3,6,1,0,0,0.0,0,5,0,0.0,0.0,1,0.0,19.795516484965777,3.695163077193612,3.113901469545178
-2004,1002,11.804990874723892,13.806894714296726,12.413877690022115,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,496,21.850699459043174,1,2,2,True,21.850699459043174,2,2,False,False,1002,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3397,1,1,1,75,177,4.8346,3.40995984,0.37877687,14,29,4,3,6,1,0,0,0.0,0,5,0,0.0,0.0,1,0.0,19.795516484965777,3.695163077193612,3.113901469545178
-2005,1003,11.74087259199443,13.707825153748297,12.379780830258877,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,502,10.79108274852199,1,2,2,True,10.79108274852199,2,2,False,False,1003,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3396,1,1,1,170,441,8.7935,4.4214501325,0.6437027875,14,99,0,0,12,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,33.56265895324637,2.763983678502642,2.5536805725296152
-2006,1003,11.74087259199443,13.707825153748297,12.379780830258877,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,502,10.79108274852199,1,2,2,True,10.79108274852199,2,2,False,False,1003,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3396,1,1,1,170,441,8.7935,4.4214501325,0.6437027875,14,99,0,0,12,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,33.56265895324637,2.763983678502642,2.5536805725296152
-2007,1004,11.638034550920793,13.647396618846027,12.27953549830683,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,504,3.9583601390202388,1,2,2,True,3.9583601390202388,2,2,False,False,1004,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3396,1,1,1,194,512,10.7013,6.3158268225,0.9096305775,17,105,0,0,15,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,26.849511284918794,2.3527922259980385,2.163230767031372
-2008,1004,11.638034550920793,13.647396618846027,12.27953549830683,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,504,3.9583601390202388,1,2,2,True,3.9583601390202388,2,2,False,False,1004,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3396,1,1,1,194,512,10.7013,6.3158268225,0.9096305775,17,105,0,0,15,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,26.849511284918794,2.3527922259980385,2.163230767031372
-2009,1005,11.517082985309068,13.383636253579226,12.023742696404943,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,514,1.9607613737119618,1,2,2,True,1.9607613737119618,2,2,False,False,1005,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3395,1,1,1,176,448,6.232,3.644159895,0.724673405,11,82,0,0,9,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,40.28535490241754,2.517834681401096,2.3697267589657374
-2010,1005,11.517082985309068,13.383636253579226,12.023742696404943,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,514,1.9607613737119618,1,2,2,True,1.9607613737119618,2,2,False,False,1005,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3395,1,1,1,176,448,6.232,3.644159895,0.724673405,11,82,0,0,9,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,40.28535490241754,2.517834681401096,2.3697267589657374
-2011,1006,11.606128374747502,13.568901281302052,12.247639995900256,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,515,9.593546477581443,1,2,2,True,9.593546477581443,2,2,False,False,1006,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3395,1,1,1,161,374,5.9379,3.273608405,0.582348215,13,70,0,0,11,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,41.75358176098983,3.371407222937067,3.119520476395792
-2012,1006,11.606128374747502,13.568901281302052,12.247639995900256,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,515,9.593546477581443,1,2,2,True,9.593546477581443,2,2,False,False,1006,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3395,1,1,1,161,374,5.9379,3.273608405,0.582348215,13,70,0,0,11,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,41.75358176098983,3.371407222937067,3.119520476395792
-2013,1007,11.688189878240316,13.74612668150422,12.335227277883732,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,521,8.674653102355933,1,2,2,True,8.674653102355933,2,2,False,False,1007,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3315,1,1,1,224,510,10.2258,5.900673084999998,1.038710375,16,85,0,2,9,5,0,0,0.0,0,5,0,0.0,0.0,1,0.0,32.27952472884386,2.3056803377745614,2.1519683152562576
-2014,1007,11.688189878240316,13.74612668150422,12.335227277883732,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,521,8.674653102355933,1,2,2,True,8.674653102355933,2,2,False,False,1007,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3315,1,1,1,224,510,10.2258,5.900673084999998,1.038710375,16,85,0,2,9,5,0,0,0.0,0,5,0,0.0,0.0,1,0.0,32.27952472884386,2.3056803377745614,2.1519683152562576
-2015,1008,11.697421926571366,13.608769876584262,12.285751903546373,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,523,4.987232090993877,1,2,2,True,4.987232090993877,2,2,False,False,1008,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3315,1,1,1,284,649,12.6757,8.17519435,0.91871063,10,109,0,0,6,4,0,0,0.0,0,5,0,0.0,0.0,1,0.0,31.229708318329056,1.0996376168425723,1.0622349768139134
-2016,1008,11.697421926571366,13.608769876584262,12.285751903546373,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,523,4.987232090993877,1,2,2,True,4.987232090993877,2,2,False,False,1008,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3315,1,1,1,284,649,12.6757,8.17519435,0.91871063,10,109,0,0,6,4,0,0,0.0,0,5,0,0.0,0.0,1,0.0,31.229708318329056,1.0996376168425723,1.0622349768139134
-2017,1009,11.688368375399468,13.674162252799952,12.249866967285476,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,537,21.688264367530223,1,2,2,True,21.688264367530223,2,2,False,False,1009,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3314,1,1,1,202,469,11.1697,6.9165774075,0.7749269425,17,84,0,0,15,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,26.262742736406302,2.2102308243510254,2.038660395063503
-2018,1009,11.688368375399468,13.674162252799952,12.249866967285476,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,537,21.688264367530223,1,2,2,True,21.688264367530223,2,2,False,False,1009,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3314,1,1,1,202,469,11.1697,6.9165774075,0.7749269425,17,84,0,0,15,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,26.262742736406302,2.2102308243510254,2.038660395063503
-2019,1010,11.69698481897249,13.561162167164929,12.104355418734484,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,540,2.9474822451477487,1,2,2,True,2.9474822451477487,2,2,False,False,1010,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3314,1,1,1,136,329,5.5054,3.441541765,0.482274035,7,54,0,0,5,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,34.66013873536061,1.7839777290259138,1.696650147884785
-2020,1010,11.69698481897249,13.561162167164929,12.104355418734484,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,540,2.9474822451477487,1,2,2,True,2.9474822451477487,2,2,False,False,1010,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3314,1,1,1,136,329,5.5054,3.441541765,0.482274035,7,54,0,0,5,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,34.66013873536061,1.7839777290259138,1.696650147884785
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-2023,1012,11.685270239909435,13.639152556564458,12.259185004502532,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,544,4.9306373892875,1,2,2,True,4.9306373892875,2,2,False,False,1012,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3277,1,1,1,42,111,4.7321,1.36633738,1.4690318999999998,51,15,48,0,3,0,0,0,0.0,0,5,0,0.0,0.0,1,0.0,14.812885325469844,17.987075038070525,8.123195178483462
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-2025,1013,11.748902194172326,13.889829855151467,12.380332602245183,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,545,11.455197621403226,1,2,2,True,11.455197621403226,2,2,False,False,1013,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3277,1,1,1,105,244,6.8899,2.6539034475,0.6222752725,18,37,0,3,8,7,0,0,0.0,0,5,0,0.0,0.0,1,0.0,32.049533610303165,5.494205761766257,4.690175650288268
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-2027,1014,11.846057924266798,13.754675579767142,12.41689465163235,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,550,13.072136676293786,1,2,2,True,13.072136676293786,2,2,False,False,1014,1,45000,45.0,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,3277,1,1,1,109,243,6.8081,3.0897556550000003,0.448090905,9,37,0,0,8,1,0,0,0.0,0,5,0,0.0,0.0,1,0.0,30.809702498799155,2.5439203898091045,2.3498925634677326
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-4017,2009,11.717611257224888,13.585002596773666,12.193937822390417,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,537,6.089417100261528,1,1,2,True,6.089417100261528,2,4,False,False,2009,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3314,1,1,1,202,469,11.1697,6.9165774075,0.7749269425,17,84,0,0,15,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,26.262742736406302,2.2102308243510254,2.038660395063503
-4018,2009,11.717611257224888,13.585002596773666,12.193937822390417,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,537,6.089417100261528,1,1,2,True,6.089417100261528,2,4,False,False,2009,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3314,1,1,1,202,469,11.1697,6.9165774075,0.7749269425,17,84,0,0,15,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,26.262742736406302,2.2102308243510254,2.038660395063503
-4019,2010,11.930131885009732,13.734519136179504,12.279827073204668,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,540,11.492980003374635,1,1,2,True,11.492980003374635,2,4,False,False,2010,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3314,1,1,1,136,329,5.5054,3.441541765,0.482274035,7,54,0,0,5,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,34.66013873536061,1.7839777290259138,1.696650147884785
-4020,2010,11.930131885009732,13.734519136179504,12.279827073204668,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,540,11.492980003374635,1,1,2,True,11.492980003374635,2,4,False,False,2010,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3314,1,1,1,136,329,5.5054,3.441541765,0.482274035,7,54,0,0,5,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,34.66013873536061,1.7839777290259138,1.696650147884785
-4021,2011,11.61810029281842,13.485631543771127,11.938485530072173,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,541,1.8341512843049563,1,1,2,True,1.8341512843049563,2,4,False,False,2011,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3314,1,1,1,118,298,12.6816,3.96865899,0.34809164,16,55,0,1,12,3,0,0,0.0,0,5,0,0.0,0.0,1,0.0,27.335375636465706,3.7064916117241635,3.2639254491302334
-4022,2011,11.61810029281842,13.485631543771127,11.938485530072173,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,541,1.8341512843049563,1,1,2,True,1.8341512843049563,2,4,False,False,2011,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3314,1,1,1,118,298,12.6816,3.96865899,0.34809164,16,55,0,1,12,3,0,0,0.0,0,5,0,0.0,0.0,1,0.0,27.335375636465706,3.7064916117241635,3.2639254491302334
-4023,2012,11.969958665047777,13.74834119862174,12.348248427665354,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,544,21.53407544142352,1,1,2,True,21.53407544142352,2,4,False,False,2012,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3277,1,1,1,42,111,4.7321,1.36633738,1.4690318999999998,51,15,48,0,3,0,0,0,0.0,0,5,0,0.0,0.0,1,0.0,14.812885325469844,17.987075038070525,8.123195178483462
-4024,2012,11.969958665047777,13.74834119862174,12.348248427665354,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,544,21.53407544142352,1,1,2,True,21.53407544142352,2,4,False,False,2012,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3277,1,1,1,42,111,4.7321,1.36633738,1.4690318999999998,51,15,48,0,3,0,0,0,0.0,0,5,0,0.0,0.0,1,0.0,14.812885325469844,17.987075038070525,8.123195178483462
-4025,2013,11.871575046215773,13.736513747945786,12.267241971187339,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,545,6.780901298918864,1,1,2,True,6.780901298918864,2,4,False,False,2013,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3277,1,1,1,105,244,6.8899,2.6539034475,0.6222752725,18,37,0,3,8,7,0,0,0.0,0,5,0,0.0,0.0,1,0.0,32.049533610303165,5.494205761766257,4.690175650288268
-4026,2013,11.871575046215773,13.736513747945786,12.267241971187339,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,545,6.780901298918864,1,1,2,True,6.780901298918864,2,4,False,False,2013,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3277,1,1,1,105,244,6.8899,2.6539034475,0.6222752725,18,37,0,3,8,7,0,0,0.0,0,5,0,0.0,0.0,1,0.0,32.049533610303165,5.494205761766257,4.690175650288268
-4027,2014,11.885721804896866,13.718602670686504,12.247733177978226,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,550,4.797094842195885,1,1,2,True,4.797094842195885,2,4,False,False,2014,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3277,1,1,1,109,243,6.8081,3.0897556550000003,0.448090905,9,37,0,0,8,1,0,0,0.0,0,5,0,0.0,0.0,1,0.0,30.809702498799155,2.5439203898091045,2.3498925634677326
-4028,2014,11.885721804896866,13.718602670686504,12.247733177978226,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,550,4.797094842195885,1,1,2,True,4.797094842195885,2,4,False,False,2014,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3277,1,1,1,109,243,6.8081,3.0897556550000003,0.448090905,9,37,0,0,8,1,0,0,0.0,0,5,0,0.0,0.0,1,0.0,30.809702498799155,2.5439203898091045,2.3498925634677326
-4029,2015,11.85751973778775,13.716990193037223,12.282272755817912,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,553,6.938178400494644,1,1,2,True,6.938178400494644,2,4,False,False,2015,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3290,1,1,1,170,392,8.0828,4.718159267500001,0.8191837925000001,51,67,17,17,15,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,30.700644362821897,9.21019330884657,7.084764083728131
-4030,2015,11.85751973778775,13.716990193037223,12.282272755817912,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,553,6.938178400494644,1,1,2,True,6.938178400494644,2,4,False,False,2015,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3290,1,1,1,170,392,8.0828,4.718159267500001,0.8191837925000001,51,67,17,17,15,2,0,0,0.0,0,5,0,0.0,0.0,1,0.0,30.700644362821897,9.21019330884657,7.084764083728131
-4031,2016,11.89955935724389,13.661682537736745,12.32012535883946,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,554,4.991096646923426,1,1,2,True,4.991096646923426,2,4,False,False,2016,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3290,1,1,1,222,508,11.32,7.99078757,0.93826298,29,86,8,9,9,3,0,0,0.0,0,5,0,0.0,0.0,1,0.0,24.86266582957132,3.247825716475533,2.872578920548081
-4032,2016,11.89955935724389,13.661682537736745,12.32012535883946,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,554,4.991096646923426,1,1,2,True,4.991096646923426,2,4,False,False,2016,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3290,1,1,1,222,508,11.32,7.99078757,0.93826298,29,86,8,9,9,3,0,0,0.0,0,5,0,0.0,0.0,1,0.0,24.86266582957132,3.247825716475533,2.872578920548081
-4033,2017,11.948723730580536,13.629512927612145,12.303267138103447,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,556,16.654036671725322,1,1,2,True,16.654036671725322,2,4,False,False,2017,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3289,1,1,1,216,472,14.2431,6.7280958075,2.7205776025,102,80,9,13,52,28,0,0,0.0,0,5,0,0.0,0.0,1,0.0,22.860351990936262,10.795166217942123,7.33256573294182
-4034,2017,11.948723730580536,13.629512927612145,12.303267138103447,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,556,16.654036671725322,1,1,2,True,16.654036671725322,2,4,False,False,2017,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3289,1,1,1,216,472,14.2431,6.7280958075,2.7205776025,102,80,9,13,52,28,0,0,0.0,0,5,0,0.0,0.0,1,0.0,22.860351990936262,10.795166217942123,7.33256573294182
-4035,2018,11.946202518697454,13.708487510845176,12.286394525145479,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,557,17.905720372114114,1,1,2,True,17.905720372114114,2,4,False,False,2018,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3289,1,1,1,20,51,3.4403,0.6401741775,1.0669352325,118,14,20,11,87,0,0,0,0.0,0,5,0,0.0,0.0,1,0.0,11.71571071124258,69.12269319633121,10.017781622656699
-4036,2018,11.946202518697454,13.708487510845176,12.286394525145479,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,557,17.905720372114114,1,1,2,True,17.905720372114114,2,4,False,False,2018,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3289,1,1,1,20,51,3.4403,0.6401741775,1.0669352325,118,14,20,11,87,0,0,0,0.0,0,5,0,0.0,0.0,1,0.0,11.71571071124258,69.12269319633121,10.017781622656699
-4037,2019,11.713877579193182,13.456556428545507,12.064707905756592,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,560,4.110829539516352,1,1,2,True,4.110829539516352,2,4,False,False,2019,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3259,1,1,1,333,806,13.0215,7.18345033,1.7534266000000005,95,128,3,10,53,29,0,0,0.0,0,5,0,0.0,0.0,1,0.0,37.2613389004116,10.630111698315622,8.270624288642761
-4038,2019,11.713877579193182,13.456556428545507,12.064707905756592,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,560,4.110829539516352,1,1,2,True,4.110829539516352,2,4,False,False,2019,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3259,1,1,1,333,806,13.0215,7.18345033,1.7534266000000005,95,128,3,10,53,29,0,0,0.0,0,5,0,0.0,0.0,1,0.0,37.2613389004116,10.630111698315622,8.270624288642761
-4039,2020,11.811274770589229,13.53476505757027,12.128077457291676,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,561,3.5161091375445794,1,1,2,True,3.5161091375445794,2,4,False,False,2020,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3261,1,1,1,93,227,5.8927,3.451742645,0.8034440549999999,25,43,3,2,3,17,0,0,0.0,0,5,0,0.0,0.0,1,0.0,21.855680268976215,5.875182868004359,4.630440734952588
-4040,2020,11.811274770589229,13.53476505757027,12.128077457291676,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,561,3.5161091375445794,1,1,2,True,3.5161091375445794,2,4,False,False,2020,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3261,1,1,1,93,227,5.8927,3.451742645,0.8034440549999999,25,43,3,2,3,17,0,0,0.0,0,5,0,0.0,0.0,1,0.0,21.855680268976215,5.875182868004359,4.630440734952588
-4041,2021,11.91250261214823,13.666311234079272,12.247183316265223,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,562,5.951543476008292,1,1,2,True,5.951543476008292,2,4,False,False,2021,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3261,1,1,1,215,489,12.2828,7.101470387499999,1.1834650025,148,80,40,8,6,94,0,0,0.0,0,5,0,0.0,0.0,1,0.0,25.950715350116933,17.863748241010725,10.580456947155113
-4042,2021,11.91250261214823,13.666311234079272,12.247183316265223,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,562,5.951543476008292,1,1,2,True,5.951543476008292,2,4,False,False,2021,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3261,1,1,1,215,489,12.2828,7.101470387499999,1.1834650025,148,80,40,8,6,94,0,0,0.0,0,5,0,0.0,0.0,1,0.0,25.950715350116933,17.863748241010725,10.580456947155113
-4043,2022,11.833421346385078,13.47533669773926,12.064189327437322,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,564,7.388533450090394,1,1,2,True,7.388533450090394,2,4,False,False,2022,1,150000,150.0,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,1,3259,1,1,1,331,759,19.4876,10.75767909,2.12818819,174,129,38,20,16,82,0,18,0.0,0,5,0,0.0,0.0,1,0.0,25.68705643226212,13.503165616959544,8.850589741017048
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+999,11.881928322319048,13.557312446991828,12.277229720206211,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,6.880096123520426,1,1,2,True,6.880096123520426,2,2,False,False,999,1,45000,45,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,1,1,1,1,362,818,15.3018,9.5027121225,3.1675707075,14,126,0,0,9,5,0,0,0.0,0,5,0,0.0,0.0,1,0,28.570790791100283,1.1049477101530496,1.0638060400941596,1998,1098,3195
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+1006,11.606128374747502,13.56890128130205,12.247639995900256,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,9.593546477581445,1,2,2,True,9.593546477581445,2,2,False,False,1006,1,45000,45,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,1,1,1,161,374,5.9379,3.273608405,0.582348215,13,70,0,0,11,2,0,0,0.0,0,5,0,0.0,0.0,1,0,41.75358176098983,3.371407222937067,3.119520476395792,2012,515,3395
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+1008,11.651415417110623,13.567318438035407,12.255075812248414,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,4.987232090993877,1,2,2,True,4.987232090993877,2,2,False,False,1008,1,45000,45,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,1,1,1,224,510,10.2258,5.900673084999998,1.038710375,16,85,0,2,9,5,0,0,0.0,0,5,0,0.0,0.0,1,0,32.27952472884386,2.3056803377745614,2.1519683152562576,2016,521,3315
+1009,11.85379744349112,13.837083262712042,12.385871319983734,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,21.688264367530223,1,2,2,True,21.688264367530223,2,2,False,False,1009,1,45000,45,2,8.81,False,2,0,0,0,0,2,1,1,0,0,2,2,1,1,1,284,649,12.6757,8.17519435,0.91871063,10,109,0,0,6,4,0,0,0.0,0,5,0,0.0,0.0,1,0,31.229708318329056,1.0996376168425723,1.0622349768139134,2017,523,3315
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+2398,12.025004408499438,13.551837183912088,12.34243891247209,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,3.5242037446361527,1,2,2,True,3.5242037446361527,2,4,False,False,2398,1,150000,150,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,2,1,1,1,85,202,17.8938,15.42102208,0.0,114,30,0,0,113,1,0,0,0.0,0,5,0,0.0,0.0,1,0,5.511956312561093,7.392506113317231,3.157603113728465,4796,1092,3278
+2399,12.01624188709364,13.52246487749587,12.253058151748906,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,5.879146530670945,1,2,2,True,5.879146530670945,2,4,False,False,2399,1,150000,150,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,2,1,1,1,362,818,15.3018,9.5027121225,3.1675707075,14,126,0,0,9,5,0,0,0.0,0,5,0,0.0,0.0,1,0,28.570790791100283,1.1049477101530496,1.0638060400941596,4797,1098,3195
+2399,12.01624188709364,13.52246487749587,12.253058151748906,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,5.879146530670945,1,2,2,True,5.879146530670945,2,4,False,False,2399,1,150000,150,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,2,1,1,1,362,818,15.3018,9.5027121225,3.1675707075,14,126,0,0,9,5,0,0,0.0,0,5,0,0.0,0.0,1,0,28.570790791100283,1.1049477101530496,1.0638060400941596,4798,1098,3195
+2400,12.00113892117717,13.591330096022038,12.271419406640174,1,4,3,13,0,35,2,1,1,1,35,M,False,True,True,False,True,True,False,False,False,False,False,False,False,False,False,False,False,False,False,0,True,6.800770958975652,1,2,2,True,6.800770958975652,2,4,False,False,2400,1,150000,150,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,2,1,1,1,136,322,34.9367,27.80936417,0.0,5,56,0,3,0,2,0,0,0.0,0,5,0,0.0,0.0,1,0,4.890439032285146,0.1797955526575421,0.1734198238398988,4799,1099,3195
+2400,12.00113892117717,13.591330096022038,12.271419406640174,2,4,3,13,0,55,1,4,3,0,0,N,False,True,True,True,False,False,False,False,False,False,True,False,False,False,False,False,False,False,False,0,False,6.800770958975652,1,2,2,True,6.800770958975652,2,4,False,False,2400,1,150000,150,4,12.86,False,2,0,0,0,0,2,1,1,0,0,2,2,1,1,1,136,322,34.9367,27.80936417,0.0,5,56,0,3,0,2,0,0,0.0,0,5,0,0.0,0.0,1,0,4.890439032285146,0.1797955526575421,0.1734198238398988,4800,1099,3195
diff --git a/activitysim/examples/placeholder_sandag/test/test_sandag.py b/activitysim/examples/placeholder_sandag/test/test_sandag.py
index a907333ee0..cda0d08725 100644
--- a/activitysim/examples/placeholder_sandag/test/test_sandag.py
+++ b/activitysim/examples/placeholder_sandag/test/test_sandag.py
@@ -195,6 +195,57 @@ def test_2_zone(data):
     run_test(zone="2", multiprocess=False)
 
 
+def test_2_zone_local_compute(data):
+    def _test_path(dirname):
+        return os.path.join(os.path.dirname(__file__), dirname)
+
+    import activitysim.abm  # register components # noqa: F401
+
+    state = workflow.State.make_default(
+        data_dir=example_path("data_2"),
+        configs_dir=(
+            _test_path("configs_2_zone"),
+            example_path("configs_2_zone"),
+            psrc_example_path("configs"),
+        ),
+        output_dir=_test_path("output_2"),
+    )
+    state.run.all(resume_after=None)
+    # ## regress tours
+    regress_tours_df = pd.read_csv(_test_path(f"regress/final_2_zone_tours.csv"))
+    tours_df = pd.read_csv(_test_path(f"output_2/final_2_zone_tours.csv"))
+    tours_df.to_csv(
+        _test_path(f"regress/final_2_zone_tours_last_run_localcompute.csv"), index=False
+    )
+    test.assert_frame_substantively_equal(
+        tours_df, regress_tours_df, rtol=1e-03, check_dtype=False
+    )
+
+    # ## regress trips
+    regress_trips_df = pd.read_csv(_test_path(f"regress/final_2_zone_trips.csv"))
+    trips_df = pd.read_csv(_test_path(f"output_2/final_2_zone_trips.csv"))
+    trips_df.to_csv(_test_path(f"regress/final_2_zone_trips_last_run.csv"), index=False)
+    test.assert_frame_substantively_equal(
+        trips_df, regress_trips_df, rtol=1e-03, check_dtype=False
+    )
+
+    # also test accessibility for the 2-zone system
+    regress_accessibility_df = pd.read_csv(
+        _test_path(f"regress/final_2_zone_proto_disaggregate_accessibility.csv")
+    )
+    final_accessibility_df = pd.read_csv(
+        _test_path(f"output_2/final_2_zone_proto_disaggregate_accessibility.csv")
+    )
+    final_accessibility_df = final_accessibility_df[
+        [c for c in final_accessibility_df.columns if not c.startswith("_original_")]
+    ]
+    test.assert_frame_substantively_equal(
+        final_accessibility_df,
+        regress_accessibility_df,
+        check_dtype=False,
+    )
+
+
 def test_2_zone_norecode(data):
     run_test(zone="2", multiprocess=False, recode=False)
 
diff --git a/activitysim/examples/prototype_mtc_extended/configs/trip_mode_choice_annotate_trips_preprocessor.csv b/activitysim/examples/prototype_mtc_extended/configs/trip_mode_choice_annotate_trips_preprocessor.csv
index fefe54a13d..df7059cd85 100644
--- a/activitysim/examples/prototype_mtc_extended/configs/trip_mode_choice_annotate_trips_preprocessor.csv
+++ b/activitysim/examples/prototype_mtc_extended/configs/trip_mode_choice_annotate_trips_preprocessor.csv
@@ -19,7 +19,7 @@ Description,Target,Expression
 ,tour_mode_is_drive_transit,i_tour_mode.isin(I_DRIVE_TRANSIT_MODES)
 ,tour_mode_is_ride_hail,i_tour_mode.isin(I_RIDE_HAIL_MODES)
 #,,
-,selected_tour_vehicle,"reindex(tours.selected_vehicle, df.tour_id)"
+,selected_tour_vehicle,"reindex(tours.selected_vehicle, df.tour_id).astype(vehicles.vehicle_type.dtype)"
 ,auto_op_cost,"reindex(vehicles.groupby('vehicle_type')['auto_operating_cost'].mean(), pd.Series(selected_tour_vehicle, df.index))"
 ,auto_op_cost,"np.where(pd.isna(auto_op_cost), costPerMile, auto_op_cost)"
 ,inbound,~df.outbound
@@ -92,4 +92,4 @@ dest terminal time not counted at home,_dest_terminal_time,"np.where(inbound & l
 #,dist_bike,od_skims['DISTBIKE']
 #,dist_only,od_skims['DIST']
 # added for school escorting model,,
-Number of school children in vehicle on trip,num_escortees,df.escort_participants.fillna('').apply(lambda x: len(x.split('_')))
\ No newline at end of file
+Number of school children in vehicle on trip,num_escortees,df.escort_participants.fillna('').apply(lambda x: len(x.split('_')))
diff --git a/activitysim/examples/prototype_mtc_extended/test/prototype_mtc_extended_reference_pipeline.zip b/activitysim/examples/prototype_mtc_extended/test/prototype_mtc_extended_reference_pipeline.zip
index 62fa47d659..41ed28ba26 100644
Binary files a/activitysim/examples/prototype_mtc_extended/test/prototype_mtc_extended_reference_pipeline.zip and b/activitysim/examples/prototype_mtc_extended/test/prototype_mtc_extended_reference_pipeline.zip differ
diff --git a/activitysim/examples/prototype_mwcog/configs/non_mandatory_tour_scheduling.yaml b/activitysim/examples/prototype_mwcog/configs/non_mandatory_tour_scheduling.yaml
index 34b5a9a8e2..0411943461 100644
--- a/activitysim/examples/prototype_mwcog/configs/non_mandatory_tour_scheduling.yaml
+++ b/activitysim/examples/prototype_mwcog/configs/non_mandatory_tour_scheduling.yaml
@@ -1,5 +1,8 @@
-SPEC: tour_scheduling_nonmandatory.csv
-COEFFICIENTS: tour_scheduling_nonmandatory_coeffs.csv
+# Should not specify both general SPEC and SPEC_SEGMENTS.SPEC 
+# SPEC: tour_scheduling_nonmandatory.csv
+
+# Should not specify both COEFFICENTS and SPEC_SEGMENTS
+# COEFFICIENTS: tour_scheduling_nonmandatory_coeffs.csv
 
 LOGIT_TYPE: MNL
 
diff --git a/activitysim/workflows/steps/contrast/transform_data.py b/activitysim/workflows/steps/contrast/transform_data.py
index 05b777ea21..a3c8b11c2c 100644
--- a/activitysim/workflows/steps/contrast/transform_data.py
+++ b/activitysim/workflows/steps/contrast/transform_data.py
@@ -6,6 +6,8 @@
 import pandas as pd
 from pypyr.context import Context
 
+from activitysim.core.fast_eval import fast_eval
+
 from ..progression import reset_progress_step
 from ..wrapping import workstep
 
@@ -32,7 +34,7 @@ def transform_data(
     if eval is not None:
         for key, tableset in tablesets.items():
             for target, expr in eval.items():
-                tableset[tablename][target] = tableset[tablename].eval(expr)
+                tableset[tablename][target] = fast_eval(tableset[tablename], expr)
         return dict(tablesets=tablesets)
 
     # collect all series into a common vector, so bins are common
diff --git a/conda-environments/activitysim-dev-base.yml b/conda-environments/activitysim-dev-base.yml
deleted file mode 100644
index 489de345b3..0000000000
--- a/conda-environments/activitysim-dev-base.yml
+++ /dev/null
@@ -1,81 +0,0 @@
-# Environment for Advanced Development
-#  This is a set of recommended dependencies for ActivitySim developers.
-#  It includes a variety of tools and packages not necessary for actually
-#  running models, but useful for writing code, running tests and
-#  experiments, etc.
-#
-#  This file does not install ActivitySim or Sharrow, you must do that yourself
-#  (so that you can install a preferred branch or fork)
-#
-#  usage: $ mamba env create --file=activitysim-dev-base.yml -n ASIM-DEV
-
-channels:
-- conda-forge
-- nodefaults
-dependencies:
-- python=3.10
-- pip
-- altair
-- asv  # for benchmarking
-- black >= 22.0,<23
-- bump2version  # for making a release
-- coveralls
-- cytoolz = 0.12.*
-- dask = 2023.3.*
-- descartes
-- filelock
-- fsspec
-- geopandas
-- gh
-- git
-- ipykernel  # so this env will appear in jupyter as a selection
-- isort
-- jupyterlab
-- larch = 5.7.*
-- matplotlib
-- multimethod <2.0
-- myst-parser  # allows markdown in sphinx
-- nbconvert
-- nbformat
-- nbmake
-- numba = 0.57.*
-- numexpr
-- numpy = 1.23.*
-- numpydoc
-- openmatrix = 0.3.*
-- orca = 1.8
-- pandas = 1.4.*
-- pandera >= 0.15, <0.18.1
-- platformdirs = 3.2.*
-- pre-commit
-- psutil = 5.9.*
-- pyarrow = 11.*
-- pycodestyle
-- pydantic = 2.6.0
-- pydata-sphinx-theme
-- pyinstrument = 4.4
-- pypyr = 5.8.*
-- pytables >=3.7
-- pytest = 7.2.*
-- pytest-cov
-- pytest-regressions
-- pyyaml = 6.*
-- requests = 2.28.*
-- rich = 13.3.*
-- ruby  # required for benchmarking pre-commit hooks
-- ruff
-- setuptools_scm
-- scikit-learn = 1.2.*
-- simwrapper > 1.7
-- snakeviz  # for profiling
-- sparse
-- sphinx = 6.1.*
-- sphinx_rtd_theme = 1.2.*
-- sphinx-argparse = 0.4.*
-- xarray = 2023.2.*
-- xmle
-- zarr = 2.14.*
-- zstandard
-
-- pip:
-  - autodoc_pydantic
diff --git a/conda-environments/activitysim-dev.yml b/conda-environments/activitysim-dev.yml
deleted file mode 100644
index b69a69f239..0000000000
--- a/conda-environments/activitysim-dev.yml
+++ /dev/null
@@ -1,79 +0,0 @@
-# Environment for development
-#  This is a set of recommended dependencies for ActivitySim developers.
-#  It includes a variety of tools and packages not necessary for actually
-#  running models, but useful for writing code, running tests and
-#  experiments, etc.
-#
-#  usage: $ mamba env create --file=activitysim-dev.yml -n ASIM-SH
-channels:
-- conda-forge
-- nodefaults
-dependencies:
-- python=3.10
-- pip
-- altair
-- asv  # for benchmarking
-- black >= 22.0,<23
-- bump2version  # for making a release
-- coveralls
-- cytoolz = 0.12.*
-- dask = 2023.3.*
-- descartes
-- filelock
-- fsspec
-- geopandas
-- gh
-- git
-- ipykernel  # so this env will appear in jupyter as a selection
-- isort
-- jupyterlab
-- larch = 5.7.*
-- matplotlib
-- multimethod <2.0
-- myst-parser  # allows markdown in sphinx
-- nbconvert
-- nbformat
-- nbmake
-- numba = 0.57.*
-- numexpr
-- numpy = 1.23.*
-- numpydoc
-- openmatrix = 0.3.*
-- orca = 1.8
-- pandas = 1.4.*
-- pandera >= 0.15, <0.18.1
-- platformdirs = 3.2.*
-- pre-commit
-- psutil = 5.9.*
-- pyarrow = 11.*
-- pycodestyle
-- pydantic = 2.6.*
-- pydata-sphinx-theme
-- pyinstrument = 4.4
-- pypyr = 5.8.*
-- pytables >=3.7
-- pytest = 7.2.*
-- pytest-cov
-- pytest-regressions
-- pyyaml = 6.*
-- requests = 2.28.*
-- rich = 13.3.*
-- ruby  # required for benchmarking pre-commit hooks
-- ruff
-- setuptools_scm
-- scikit-learn = 1.2.*
-- sharrow >= 2.9.1
-- simwrapper > 1.7
-- snakeviz  # for profiling
-- sparse
-- sphinx = 6.1.*
-- sphinx_rtd_theme = 1.2.*
-- sphinx-argparse = 0.4.*
-- xarray = 2023.2.*
-- xmle
-- zarr = 2.14.*
-- zstandard
-
-- pip:
-  - autodoc_pydantic
-  - -e ..
diff --git a/conda-environments/docbuild.yml b/conda-environments/docbuild.yml
deleted file mode 100644
index df20b77291..0000000000
--- a/conda-environments/docbuild.yml
+++ /dev/null
@@ -1,62 +0,0 @@
-# Environment for building docs
-#
-#   This conda environment is used to build the documentation.  It includes a
-#   number of dependencies needed for the documentation only, and not to run or
-#   test ActivitySim itself.  Note that ActivitySim itself is *not* installed
-#   in this environment, you must install it separately after using this recipe,
-#   which allows you to install the specific version you want.
-
-name: docbuild
-channels:
-- conda-forge
-dependencies:
-- python=3.10
-- pip
-- altair
-- black >= 22.0,<23
-- bump2version
-- coveralls
-- cytoolz >= 0.8.1
-- descartes
-- geopandas
-- gh
-- git
-- jupyter-book
-- jupyterlab
-- larch >=5.5.3
-- matplotlib
-- multimethod <2.0
-- myst-nb
-- myst-parser
-- numba >= 0.57
-- numpy >= 1.16.1, <2
-- numpydoc
-- openmatrix >= 0.3.4.1
-- pandas = 2.2.*
-- pandera >= 0.15, <0.18.1
-- platformdirs
-- psutil >= 4.1
-- pyarrow >= 2.0,<19
-- pydantic = 2.6.*
-- pypyr >= 5.3
-- pytables >=3.7
-- pytest
-- pytest-cov
-- pytest-regressions
-- pyyaml >= 5.1
-- requests >= 2.7
-- scikit-learn >= 1.1
-- sharrow >= 2.9.1
-- simwrapper > 1.7
-- sparse
-- sphinx-argparse
-- sphinx-autosummary-accessors
-- sphinx-copybutton
-- sphinx-remove-toctrees
-- sphinx_rtd_theme
-- xarray >= 0.21
-- zarr
-
-- pip:
-  - autodoc_pydantic
-  - -e ..
diff --git a/conda-environments/github-actions-tests.yml b/conda-environments/github-actions-tests.yml
deleted file mode 100644
index 4489cba886..0000000000
--- a/conda-environments/github-actions-tests.yml
+++ /dev/null
@@ -1,41 +0,0 @@
-# Environment for testing in GitHub Actions
-#  This environment contains a minimal set of dependencies needed to run most tests.
-#  It does not install ActivitySim itself (which is done by the test scripts) and
-#  is not meant for use outside the CI tools.
-name: asim-test
-channels:
-- conda-forge
-dependencies:
-- pip
-- black = 22.12.0
-- coveralls = 3.3.1
-- cytoolz = 0.12.2
-- dask = 2023.3.2
-- isort = 5.12.0
-- multimethod <2.0
-- nbmake = 1.4.6
-- numba = 0.57.*
-- numpy = 1.23.5
-- openmatrix = 0.3.5.0
-- orca = 1.8
-- pandera >= 0.15, <0.18.1
-- pandas = 1.4.*
-- platformdirs = 3.2.*
-- psutil = 5.9.*
-- pyarrow = 11.*
-- pydantic = 2.6.*
-- pypyr = 5.8.*
-- pytables >= 3.7
-- pytest = 7.2.*
-- pytest-cov
-- pytest-regressions
-- pyyaml = 6.*
-- requests = 2.28.*
-- ruff
-- scikit-learn = 1.2.*
-- sharrow >= 2.9.1
-- simwrapper > 1.7
-- sparse
-- xarray = 2023.2.*
-- zarr = 2.14.*
-- zstandard
diff --git a/docs/Makefile b/docs/Makefile
index ba6e4b5159..877005ed39 100644
--- a/docs/Makefile
+++ b/docs/Makefile
@@ -3,15 +3,10 @@
 
 # You can set these variables from the command line.
 SPHINXOPTS    =
-SPHINXBUILD   = sphinx-build
+SPHINXBUILD   = uv run --project .. sphinx-build
 PAPER         =
 BUILDDIR      = _build
 
-# User-friendly check for sphinx-build
-ifeq ($(shell which $(SPHINXBUILD) >/dev/null 2>&1; echo $$?), 1)
-$(error The '$(SPHINXBUILD)' command was not found. Make sure you have Sphinx installed, then set the SPHINXBUILD environment variable to point to the full path of the '$(SPHINXBUILD)' executable. Alternatively you can add the directory with the executable to your PATH. If you don't have Sphinx installed, grab it from http://sphinx-doc.org/)
-endif
-
 # Internal variables.
 PAPEROPT_a4     = -D latex_paper_size=a4
 PAPEROPT_letter = -D latex_paper_size=letter
@@ -53,7 +48,7 @@ html:
 	$(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html
 	@echo
 	@echo "Build finished. The HTML pages are in $(BUILDDIR)/html."
-	python add_image_map.py
+	uv run --project .. add_image_map.py
 
 dirhtml:
 	$(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml
@@ -64,7 +59,7 @@ singlehtml:
 	$(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml
 	@echo
 	@echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml."
-	python add_image_map.py
+	uv run --project .. add_image_map.py
 	
 pickle:
 	$(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle
diff --git a/docs/dev-guide/build-docs.md b/docs/dev-guide/build-docs.md
index dc8c5d67d3..d59bee572b 100644
--- a/docs/dev-guide/build-docs.md
+++ b/docs/dev-guide/build-docs.md
@@ -15,21 +15,16 @@ them into html as well.  ActivitySim's docstrings are written in
 ## Building the Documentation
 
 Developers who want to test a build of the ActivitySim documentation locally can
-do so using `sphinx`.  A pre-packaged conda environment is available to simplify this
-process. On the command line, starting from the `activitysim` directory that constitutes the
-main repository (i.e. you should see subdirectories including `activitysim`,
-`conda-environments`, `docs`, and a few others) run these commands:
+do so using `sphinx`. The *uv* `dev` environment includes the required dependencies. On the command line, starting from the `activitysim` directory that constitutes the
+main repository (i.e. you should see subdirectories including `activitysim`, `docs`, and a few others) run these commands:
 
 ```bash
-mkdir -p ../.env
-mamba env update -p ../.env/DOCBUILD -f conda-environments/docbuild.yml
-conda activate ../.env/DOCBUILD
 cd docs
 make clean
 make html
 ```
 
-This will build the docs in the `docs/_build/html` directory.  They can be viewed
+This will build the docs in the `docs/_build/html` directory. They can be viewed
 in a web browser using the `file:///` protocol, or by double-clicking on the
 `index.html` file (or any other .html file in that directory).
 
diff --git a/docs/dev-guide/components/index.rst b/docs/dev-guide/components/index.rst
index 9329f3b0d4..7ed1dcbf84 100644
--- a/docs/dev-guide/components/index.rst
+++ b/docs/dev-guide/components/index.rst
@@ -6,6 +6,7 @@ Components
 
 .. toctree::
     :maxdepth: 1
+   input_checker
    initialize
    initialize_los
    initialize_tours
diff --git a/docs/dev-guide/components/input_checker.md b/docs/dev-guide/components/input_checker.md
new file mode 100644
index 0000000000..b30d87c93d
--- /dev/null
+++ b/docs/dev-guide/components/input_checker.md
@@ -0,0 +1,54 @@
+(input_checker)=
+# Input Checker
+
+The input checker is an optional model that will ensure the inputs are as expected according to the
+configuration of the user. This model does not have any connection to downstream models and does not
+add anything to the ActivitySim pipeline.  It is intended to be run at the very start of every ActivitySim
+run to quickly examine whether the input data aligns with the user's expectations.
+
+The input checker is built on the Pandera python package. Users are responsible for writing the
+Pandera code that will perform the checks they would like to be performed. By allowing the user to
+write python code, they are provided with maximum flexiblity to check their input data.  (Pydantic
+was also explored as a potential technology choice for input checker implementation. Pydantic
+development got as far as performing checks and outputting errors, but further development around
+reporting warnings and more in-depth testing was dropped in favor of the Pandera approach. The
+in-development code has remained as-is in the repository in the event future data model development
+favors this approach.)
+
+If any checks fail, ActivitySim will crash and direct you to the output input_checker.log file which
+will provide details of the checks that did not pass. The user can also setup checks to output
+warnings instead of fatal errors. Warning details will be output to the input_checker.log file for
+user review and documentation. Syntax examples for both errors and warnings are demonstrated in the
+[`prototype_mtc_extended`] and [`production_semcog`] examples.
+
+Setup steps for new users:
+  * Copy the data_model directory in the [`prototype_mtc_extended`] or
+    [`production_semcog`] example folder to your setup space. You will need the enums.py and
+    input_checks.py scripts. The additional input_checks_pydantic_dev.py script in
+    [`prototype_mtc_extended`] is there for future development and can be discarded.
+  * Modify the input_checker.py to be consistent with your input data. This can include changing
+    variable names and adding or removing checks.  The amount and types of checks to perform are
+    completely up to you! Syntax is shown for many different checks in the example.
+  * Modify enums.py to be consistent with your implesmentation by changing / adding / removing variable
+    definitions.
+  * Copy the input_checker.yaml script from [`prototype_mtc_extended`] or
+    [`production_semcog`] configs into your configs
+    directory. Update the list of data tables you would like to check in the input_checker.yaml
+    file. The "validator_class" option should correspond to the name of the corresponding class in
+    the input_checker.py file you modified in the above step.
+  * Add the input_checker model to the models option in your settings.yaml file to include it in the
+    model run. When running activitysim, you will also need to include the name of the data_model
+    directory from the first step, e.g. activitysim run -c configs -d data -o outout --data_model
+    data_model.
+
+```{note}
+If you are running ActivitySim with the input checker module active, you must supply
+a --data_model argument that points to where the input_checks.py file exists!
+```
+
+## Implementation
+
+```{eval-rst}
+.. automodule:: activitysim.abm.models.input_checker
+   :members:
+```
diff --git a/docs/dev-guide/install.md b/docs/dev-guide/install.md
index 8f4b07bd8e..40b92e0a6b 100644
--- a/docs/dev-guide/install.md
+++ b/docs/dev-guide/install.md
@@ -1,73 +1,20 @@
 (developer-installation)=
 # Developer Installation
 
-Installing ActivitySim as a developer is almost as easy as just using it,
-but making some tweaks to the processes enables live code development and
-testing.
-
-## Package Manager
-
-ActivitySim has a lot of dependencies.  It's easiest and fastest to install
-them using a package manager like conda, or its faster and free sibling
-[Mambaforge](https://github.com/conda-forge/miniforge#mambaforge).
-Depending on your security settings, you might need to install in a
-container like docker, instructions for that are coming soon.
-
-Note that if you are installing `mamba`, you only should install `mamba`
-in the *base* environment. If you install `mamba` itself in other environments,
-it will not function correctly.  If you've got an existing conda installation
-and you want to install mamba into it, you can install mamba into the *base*
-environment like this:
-
-```sh
-conda update conda -n base
-conda install -n base -c conda-forge mamba
-```
-
-While you are at it, if you are a Jupyter user you might want to also install
-`nb_conda_kernels` in your base conda environment alongside any other `jupyter`
-libraries:
-
-```sh
-mamba install -n base nb_conda_kernels -c conda-forge
-```
-
-This will ensure your development environments are selectable as kernels in
-Jupyter Notebook/Lab/Etc.
-
-## Environment
-
-It's convenient to start from a completely clean conda environment
-and git repository. Assuming you have `mamba` installed, and you
-want to install in a new directory called "workspace" run:
-
-```sh
-mkdir workspace
-cd workspace
-mamba env create -p ASIM-ENV --file https://raw.githubusercontent.com/ActivitySim/activitysim/main/conda-environments/activitysim-dev-base.yml
-conda activate ./ASIM-ENV
-git clone https://github.com/ActivitySim/sharrow.git
-python -m pip install -e ./sharrow
-git clone https://github.com/ActivitySim/activitysim.git
-python -m pip install -e ./activitysim
-```
-
-Note the above commands will create an environment with all the
-necessary dependencies, clone both ActivitySim and sharrow from GitHub,
-and `pip install` each of these libraries in editable mode, which
-will allow your code changes to be reflected when running ActivitySim
-in this environment.
+Installing ActivitySim as a developer is as easy as just using it with *uv*.
 
 Depending on what you are working on, you may want to check out a branch
-other than `develop`.  To do so, you can point the `git switch` command
-above to any other existing branch name.  If you want to start an new
+other than the default `main`. To do so, you can use a `git switch` command
+to any other existing branch name. If you want to start an new
 branch, first create it with `git branch cool-new-feature` and then switch
 to it with `git switch cool-new-feature`.
 
-Now your environment should be ready to use.  Happy coding!
+By default, *uv* installs projects in editable mode, such that changes to the 
+source code are immediately reflected in the environment. 
 
 ```{important}
-If you add to the ActivitySim dependencies, make sure to also update
-the environments in `conda-environments`, which are used for testing
-and development.
+If you add to the ActivitySim dependencies during development or remove, make 
+sure to use the `uv add` and `uv remove` commands so that the `pyproject.toml`
+and `uv.lock` files are updated correctly and your virtual environment is 
+updated.
 ```
diff --git a/docs/users-guide/example_models.rst b/docs/users-guide/example_models.rst
index fbb727f623..a671302d32 100644
--- a/docs/users-guide/example_models.rst
+++ b/docs/users-guide/example_models.rst
@@ -2985,25 +2985,24 @@ Running the model
 
 To run the example, do the following:
 
-* Activate the correct conda environment if needed
 * View the list of available examples
 
 ::
 
-  activitysim create --list
+  uv run activitysim create --list
 
 * Create a local copy of an example folder
 
 ::
 
-  activitysim create --example prototype_mtc --destination my_test_example
+  uv run activitysim create --example prototype_mtc --destination my_test_example
 
 * Run the example
 
 ::
 
   cd my_test_example
-  activitysim run -c configs -d data -o output
+  uv run activitysim run -c configs -d data -o output
 
 
 * ActivitySim will log progress and write outputs to the output folder.
@@ -3019,7 +3018,7 @@ The example should run in a few minutes since it runs a small sample of househol
 
   ::
 
-    python simulation.py
+    uv run simulation.py
 
 .. _multiprocess_example :
 
@@ -3032,7 +3031,7 @@ include the multiprocessing configuration settings via settings file inheritance
 
 ::
 
-  activitysim run -c configs_mp -c configs -d data -o output
+  uv run activitysim run -c configs_mp -c configs -d data -o output
 
 The multiprocessing example also writes outputs to the output folder.
 
diff --git a/docs/users-guide/model_anatomy.rst b/docs/users-guide/model_anatomy.rst
index 461991a2e4..a1e0cc2753 100644
--- a/docs/users-guide/model_anatomy.rst
+++ b/docs/users-guide/model_anatomy.rst
@@ -21,21 +21,21 @@ file and the ``configs\network_los.yaml`` file.
 
 The following tables are currently implemented:
 
-  * households - household attributes for each household being simulated.  Index: ``household_id`` (see ``activitysim.abm.tables.households.py``)
-  * landuse - zonal land use (such as population and employment) attributes. Index: ``zone_id`` (see ``activitysim.abm.tables.landuse.py``)
-  * persons - person attributes for each person being simulated.  Index: ``person_id`` (see ``activitysim.abm.tables.persons.py``)
-  * time windows - manages person time windows throughout the simulation.  See :ref:`time_windows`.  Index:  ``person_id`` (see the person_windows table create decorator in ``activitysim.abm.tables.time_windows.py``)
-  * tours - tour attributes for each tour (mandatory, non-mandatory, joint, and atwork-subtour) being simulated.  Index:  ``tour_id`` (see ``activitysim.abm.models.util.tour_frequency.py``)
-  * trips - trip attributes for each trip being simulated.  Index: ``trip_id`` (see ``activitysim.abm.models.stop_frequency.py``)
+* households - household attributes for each household being simulated.  Index: ``household_id`` (see ``activitysim.abm.tables.households.py``)
+* landuse - zonal land use (such as population and employment) attributes. Index: ``zone_id`` (see ``activitysim.abm.tables.landuse.py``)
+* persons - person attributes for each person being simulated.  Index: ``person_id`` (see ``activitysim.abm.tables.persons.py``)
+* time windows - manages person time windows throughout the simulation.  See :ref:`time_windows`.  Index:  ``person_id`` (see the person_windows table create decorator in ``activitysim.abm.tables.time_windows.py``)
+* tours - tour attributes for each tour (mandatory, non-mandatory, joint, and atwork-subtour) being simulated.  Index:  ``tour_id`` (see ``activitysim.abm.models.util.tour_frequency.py``)
+* trips - trip attributes for each trip being simulated.  Index: ``trip_id`` (see ``activitysim.abm.models.stop_frequency.py``)
 
 A few additional tables are also used, which are not really tables, but classes:
 
-  * input store - reads input data tables from the input data store
-  * constants - various constants used throughout the model system, such as person type codes
-  * shadow pricing - shadow price calculator and associated utility methods, see :ref:`shadow_pricing`
-  * size terms - created by reading the ``destination_choice_size_terms.csv`` input file.  Index - ``segment`` (see ``activitysim.abm.tables.size_terms.py``)
-  * skims - each model runs requires skims, but how the skims are defined can vary significantly depending on the ActivitySim implementation. The skims class defines Inject injectables to access the skim matrices. The skims class reads the skims from the omx_file on disk.
-  * table dictionary - stores which tables should be registered as random number generator channels for restartability of the pipeline
+* input store - reads input data tables from the input data store
+* constants - various constants used throughout the model system, such as person type codes
+* shadow pricing - shadow price calculator and associated utility methods, see :ref:`shadow_pricing`
+* size terms - created by reading the ``destination_choice_size_terms.csv`` input file.  Index - ``segment`` (see ``activitysim.abm.tables.size_terms.py``)
+* skims - each model runs requires skims, but how the skims are defined can vary significantly depending on the ActivitySim implementation. The skims class defines Inject injectables to access the skim matrices. The skims class reads the skims from the omx_file on disk.
+* table dictionary - stores which tables should be registered as random number generator channels for restartability of the pipeline
 
 
 
@@ -54,10 +54,10 @@ system for non-motorized travel, and optionally a transit access points (TAPs) z
 
 The three versions of multiple zone systems are one-zone, two-zone, and three-zone.
 
-  * **One-zone**: This version is based on TM1 and supports only TAZs. All origins and
+*   **One-zone**: This version is based on TM1 and supports only TAZs. All origins and
     destinations are represented at the TAZ level, and all skims including auto, transit,
     and non-motorized times and costs are also represented at the TAZ level.
-  * **Two-zone**: This version is similar to many DaySim models. It uses microzones (MAZs)
+*   **Two-zone**: This version is similar to many DaySim models. It uses microzones (MAZs)
     for origins and destinations, and TAZs for specification of auto and transit times and
     costs. Impedance for walk or bike all-the-way from the origin to the destination can
     be specified at the MAZ level for close together origins and destinations, and at
@@ -65,7 +65,7 @@ The three versions of multiple zone systems are one-zone, two-zone, and three-zo
     walk access and egress times with times specified in the MAZ file by transit mode.
     Careful pre-calculation of the assumed transit walk access and egress time by MAZ
     and transit mode is required depending on the network scenario.
-  * **Three-zone**: This version is based on the SANDAG generation of CT-RAMP models.
+*   **Three-zone**: This version is based on the SANDAG generation of CT-RAMP models.
     Origins and destinations are represented at the MAZ level. Impedance for walk or
     bike all-the-way from the origin to the destination can be specified at the MAZ
     level for close together origins and destinations, and at the TAZ level for further
@@ -84,8 +84,15 @@ The three versions of multiple zone systems are one-zone, two-zone, and three-zo
     combinations of nearby boarding and alighting TAPs for each origin destination MAZ
     pair.
 
-Regions that have an interest in more precise transit forecasts may wish to adopt the
-three-zone approach, while other regions may adopt the one or two-zone approach.  The
+..  caution::
+    The ActivitySim consortium is moving away from the three-zone approach, in favor of
+    to the one- or two-zone approaches.  The code for the three-zone approach remains
+    available for users who have already implemented it, but it is recommended that
+    users consider the one- or two-zone approaches for new implementations.
+    The three-zone system may be formally deprecated and removed in the future.
+
+Regions that have an interest in more precise transit and non-motorized forecasts
+may wish to adopt the two-zone approach, while other regions may adopt the one or two-zone approach.  The
 microzone version requires coding households and land use at the microzone level.
 Typically an all-streets network is used for representation of non-motorized impedances.
 This requires a routable all-streets network, with centroids and connectors for
@@ -103,23 +110,88 @@ transit modeling.
    initial development, these examples were insufficient for validation and performance testing of the new software. As a result,
    the :ref:`prototype_marin` example was created.
 
-Example simple test configurations and inputs for two and three-zone system models are described below.
+
+.. _omx_skims :
+
+Skims
+~~~~~
+
+The basic level-of-service data that represents the transportation system is
+made available to ActivitySim via one or more sets of "skims".  Skims are
+essentially matrices of travel times, costs, and other level of service attributes,
+calculated between various zones in the system.  This skim data is made available
+to ActivitySim using files in the`openmatrix <http://github.com/osPlanning/omx>`__
+(OMX) format.  All of the skim data can be provided in a single OMX file, or
+multiple OMX files can be used (this is typical for larger models, to keep file
+sizes manageable).  If multiple files are used, the content of those files is
+simply concatenated together into a single notional bucket of skim data when
+the model is run.  Within that bucket, each skim variable is identified by a unique name.
+For skim variables that vary across model time periods, the time period is
+appended to the skim name, separated by a double underscore (e.g. ``BUS_IVT__AM``).
+
+..  caution::
+    When using "legacy" mode for ActivitySim, it is possible (but not recommended)
+    to have a skim variable that has both a time period agnostic value as well as
+    a set of time period dependent values, e.g. "WALK_TIME" and "WALK_TIME__AM".
+    If you have conflicting names like this, a warning message will be issued, which
+    will look like this in an ActivitySim log file:
+
+    .. code-block:: text
+
+        WARNING: activitysim/core/skim_dict_factory.py:212:
+        UserWarning: some skims have both time-dependent and time-agnostic versions:
+        - BIKE_LOGSUM
+        - BIKE_TIME
+
+    This is a warning, not an error, and the model will run if not using sharrow.
+    However, if "sharrow" mode is activated, this will result in an error once the
+    skims are actually loaded, unless instructions are included in the settings file
+    to resolve the conflict.  The error message will look like this:
+
+    .. code-block:: text
+
+        ERROR: skims ['BIKE_TIME'] are present in both time-dependent and time-agnostic formats.
+        Please add ignore rules to the omx_ignore_patterns setting to resolve this issue.
+        To ignore the time dependent skims, add the following to your settings file:
+
+        omx_ignore_patterns:
+          - '^BIKE_TIME__.+'
+
+        To ignore the time agnostic skims, add the following to your settings file:
+
+        omx_ignore_patterns:
+          - '^BIKE_TIME$'
+
+        You can also do some variation or combination of the two, as long as you resolve
+        the conflict(s). In addition, note that minor edits to model spec files may be
+        needed to accommodate these changes in how skim data is represented (e.g. changing
+        `odt_skims` to `od_skims`, or similar modifications wherever the offending variable
+        names are used).  Alternatively, you can modify the skim data in the source files to
+        remove the naming conflicts, which is typically done upstream of ActivitySim in
+        whatever tool you are using to create the skims in the first place.
+
+    It should be relatively simple to resolve the conflict by following the instructions
+    in the error message. The cleaner and more reliable solution is to ensure each skim
+    variable has a unique name, e.g. by changing the name on the time period agnostic
+    value, so that instead of "BIKE_TIME" it is "BIKE_TIME_BASE". This may also require
+    minor edits to the model spec files to accommodate the new skim name.
+
 
 Examples
 ~~~~~~~~
+Example simple test configurations and inputs for two and three-zone system models are described below.
 
 To run the two zone and three zone system examples, do the following:
 
-* Activate the correct conda environment if needed
 * Create a local copy of the example
 
 ::
 
   # simple two zone example
-  activitysim create -e placeholder_2_zone -d test_placeholder_2_zone
+  uv run activitysim create -e placeholder_2_zone -d test_placeholder_2_zone
 
   # simple three zone example
-  activitysim create -e placeholder_3_zone -d test_placeholder_3_zone
+  uv run activitysim create -e placeholder_3_zone -d test_placeholder_3_zone
 
 
 * Change to the example directory
@@ -128,11 +200,11 @@ To run the two zone and three zone system examples, do the following:
 ::
 
   # simple two zone example
-  activitysim run -c configs_2_zone -c configs -d data_2 -o output_2
+  uv run activitysim run -c configs_2_zone -c configs -d data_2 -o output_2
 
   # simple three zone example, single process and multiprocess (and makes use of settings file inheritance for running)
-  activitysim run -c configs_3_zone -c configs -d data_3 -o output_3 -s settings_static.yaml
-  activitysim run -c configs_3_zone -c configs -d data_3 -o output_3 -s settings_mp.yaml
+  uv run activitysim run -c configs_3_zone -c configs -d data_3 -o output_3 -s settings_static.yaml
+  uv run activitysim run -c configs_3_zone -c configs -d data_3 -o output_3 -s settings_mp.yaml
 
 Settings
 ~~~~~~~~
@@ -421,7 +493,7 @@ alternatives, coefficients, constants and other settings for each model. For mor
 Outputs
 -------
 
-The key output of ActivitySIm is the HDF5 data pipeline file ``output\pipeline.h5``. This datastore by default contains
+The key output of ActivitySim is the HDF5 data pipeline file ``output\pipeline.h5``. This datastore by default contains
 a copy of each data table after each model step in which the table was modified. The exact fields for each set of outputs will be different for various implementations of ActivitySim.
 
 
diff --git a/docs/users-guide/model_dev.rst b/docs/users-guide/model_dev.rst
index b9fbc8572f..0e6d03330b 100644
--- a/docs/users-guide/model_dev.rst
+++ b/docs/users-guide/model_dev.rst
@@ -57,19 +57,18 @@ Example
 
 To run the estimation example, do the following:
 
-* Activate the correct conda environment if needed
 * Create a local copy of the estimation example folder
 
 ::
 
-  activitysim create -e example_estimation_sf -d test_example_estimation_sf
+  uv run activitysim create -e example_estimation_sf -d test_example_estimation_sf
 
 * Run the example
 
 ::
 
   cd test_example_estimation_sf
-  activitysim run -c configs_estimation/configs -c configs -o output -d data_sf
+  uv run activitysim run -c configs_estimation/configs -c configs -o output -d data_sf
 
 
 * ActivitySim should log some information and write outputs to the output folder, including EDBs for each submodel.  The estimation example runs for about 15 minutes and writes EDBs for 2000 households.
@@ -92,13 +91,11 @@ Additional settings for running ActivitySim in estimation mode are specified in
 Estimation Notebooks
 ~~~~~~~~~~~~~~~~~~~~
 
-ActivitySim includes a `Jupyter Notebook <https://jupyter.org>`__ recipe book with interactive re-estimation examples for each estimatable submodel.  To run a Jupyter notebook, do the following:
+ActivitySim includes a `Jupyter Notebook <https://jupyter.org>`__ recipe book with interactive examples. 
 
-* Open a conda prompt and activate the conda environment with ActivitySim installed
-* If needed, ``conda install jupyterlab`` so you can run jupyter notebooks
-* Type ``jupyter notebook`` to launch the web-based notebook manager
-* Navigate to the ``examples/examples_estimaton/notebooks`` folder and select a notebook from the table below
-* Save the updated coefficient file(s) to the configs folder and run the model in simulation mode
+* To start JupyterLab, from the ActivitySim project directory run ``uv run jupyter lab``. This will start the JupyterLab server and pop up a browser window with the interactive development environment.
+* Navigate to the ``examples/examples_estimaton/notebooks`` folder and select a notebook from the table below.
+* Save the updated coefficient file(s) to the configs folder and run the model in simulation mode.
 
 +-------------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
 | Example                             | Notebook                                                                                                                                                                            |
diff --git a/docs/users-guide/modelsetup.rst b/docs/users-guide/modelsetup.rst
index 2a64830625..97695c99e2 100644
--- a/docs/users-guide/modelsetup.rst
+++ b/docs/users-guide/modelsetup.rst
@@ -16,7 +16,7 @@ assumes the user is more experienced in running travel demand models and profici
 used ActivitySim or has not used recent versions of ActivitySim. More detailed instructions for installing
 and running ActivitySim are also available in this Users Guide.
 
-* Use the :ref:`Pre-packaged Installer`
+* Use the :ref:`pre-packaged installer`
 * :ref:`Run the Primary Example`
 * Placeholder (Edit model input files, configs, as needed)
 
@@ -63,9 +63,9 @@ ActivitySim has features that makes it possible to customize model runs or impro
 * :ref:`Sharrow <sharrow_ways_to_run>` is a Python library designed to decrease run-time for ActivitySim models by creating an optimized compiled version of the model. This can also be turned on/off.
 * :ref:`Tracing <tracing_ways_to_run>` allows the user to access information throughout the model run for a specified number of households/persons/zones. Enabling this feature will increase run-time and memory usage. It is recommended that this feature be turned off for typical model application.
 * Optimization of data types including:
-   + Converting string variables to pandas categoricals. ActivitySim releases *<placeholder for version number>* and higher have this capability.
-   + Converting higher byte integer variables to lower byte integer variables (such as reducing ‘num tours’ from int64 to int8).
-   + Converting higher byte float variables to lower bytes. ActivitySim releases X.X.X and higher have this capability as a switch and defaults to turning this feature off.
+   + Converting string variables to pandas categoricals. ActivitySim releases 1.3.0 and higher have this capability.
+   + Converting higher byte integer variables to lower byte integer variables (such as reducing ‘num tours’ from int64 to int8). ActivitySim releases 1.3.0 and higher have this capability as a switch and defaults to turning this feature off.
+   + Converting higher byte float variables to lower bytes. ActivitySim releases 1.3.0 and higher have this capability as a switch and defaults to turning this feature off.
 
 Steps for enabling/disabling these options are included in the :ref:`Advanced Configuration` sub-section, under :ref:`Ways to Run the Model` page of this Users’ Guide.
 
@@ -80,51 +80,26 @@ Steps for enabling/disabling these options are included in the :ref:`Advanced Co
 Software
 ________
 
-Activitysim is implemented in the Python programming language. It also uses several open source Python packages such as pandas, numpy, pytables, openmatrix etc. Hence it is recommended that you install and use a *conda* package manager for your system.
-One easy way to do so is by using
-`Mambaforge <https://github.com/conda-forge/miniforge#mambaforge>`__.
-Mamba is a free open source cross-platform package manager that runs on
-Windows, OS X and Linux and is fully compatible with conda packages.  It is
-also usually substantially faster than conda itself. Instructions to install mambaforge can be found `here <https://mamba.readthedocs.io/en/latest/mamba-installation.html#mamba-install>`__. Installers for different Operating Systems can be found `here <https://github.com/conda-forge/miniforge#miniforge3>`__.
-
-Alternatively, if you prefer a package installer backed by corporate tech
-support available (for a fee) as necessary, you can install
-`Anaconda 64bit Python 3 <https://www.anaconda.com/distribution/>`__,
-although you should consult the `terms of service <https://www.anaconda.com/terms-of-service>`__
-for this product and ensure you qualify since businesses and
-governments with over 200 employees do not qualify for free usage.
-If you're using `conda` instead of `mamba`, just replace every call to
-`mamba` below with `conda`, as they share the same user interface and most
-command formats.
-
-If you access the internet from behind a firewall, then you may need to
-configure your proxy server. To do so, create a `.condarc` file in your
-home installation folder, such as:
-
-::
-
-  proxy_servers:
-    http: http://myproxy.org:8080
-    https: https://myproxy.org:8080
-  ssl_verify: false
-
+Activitysim is implemented in the Python programming language. It uses several open source Python packages such as pandas, numpy, pytables, openmatrix etc.
 
 
 Installing ActivitySim
 ----------------------
 
-There are multiple ways to install the ActivitySim codebase:
+There are two recommended ways to install ActivitySim:
 
-1. Using a :ref:`Pre-packaged Installer` (recommended for users who do not need to change the Python code)
+1. Using a :ref:`pre-packaged installer`
 
-2. Using a :ref:`Python package manager like mamba <Using *mamba* package manager>` (recommended for users who need to change/customize the Python code)
+2. Using the :ref:`UV Package and Project Manager`
+
+The first is recommended for users who do not need to change the Python code and are on Windows, 
+and the second is recommended for users who need to change/customize the Python code.
 
-3. Using :ref:`pip - Python's standard package manager <Using *pip* - Python's standard package manager>`
 
 Pre-packaged Installer
 ______________________
 
-Begining with version 1.2, ActivitySim is now available for Windows via a
+Beginning with version 1.2, ActivitySim is now available for Windows via a
 pre-packaged installer.  This installer provides everything you need to run
 ActivitySim, including Python, all the necessary supporting packages, and
 ActivitySim itself.  You should only choose this installation process if you
@@ -146,127 +121,177 @@ Once the install is complete, ActivitySim can be run directly from any command
 prompt by running `<install_location>/Scripts/ActivitySim.exe`.
 
 
-Using *mamba* package manager
-_____________________________
+UV Package and Project Manager
+______________________________________
+
+This method is recommended for ActivitySim users who are familiar with 
+Python and optionally wish to customize the Python code to run their models.
+UV is a free open source cross-platform package and project manager that runs 
+on Windows, OS X, and Linux. It is 10-100x faster than conda, and pip itself, which is 
+the standard Python package manager. The *uv* features include automatic 
+environment management including installation and management of Python 
+versions and dependency locking. 
 
-This method is recommended for ActivitySim users who also wish to customize the Python code to run their models. The steps involved are described as follows:
+.. note::
+  There are two options for using *uv* to install ActivitySim. 
 
-1. Install the *mamba* package manager as described in the :ref:`Software Requirements <Software>` subsection.
+The first is to use *uv* to install an official ActivitySim release from the Python Package Index (PyPI). 
+The second is to use *uv* to install ActivitySim from a local directory, which should be the cloned ActivitySim repository.
 
-2. Create a conda environment (basically a Python install just for this project)
-using mambaforge prompt or conda prompt depending on the package manager you use (on Windows) or the terminal (macOS or Linux)::
+.. note::
+  The first *uv* option is recommended for users who want to install ActivitySim from an official release and do not wish to change the Python code. 
+  However, they may end up using different deep dependencies than those tested by the developers. 
+  The second *uv* option is recommended for users who may want to customize the Python code, and who want to run ActivitySim 
+  exactly as it was tested by the developers using the dependency lockfile which results in the exact same deep dependencies.
 
-  mamba create -n asim python=3.10 activitysim -c conda-forge --override-channels
+The steps involved are described as follows.
+
+Option 1: Install ActivitySim from PyPI
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+(Note: This step may fail at the moment because the ActivitySim version available on PyPI has dependency conflicts.
+This step should work when ActivitySim release *<placeholder for version number>* which is built with *uv* is available on PyPI.
+In the meantime, use Option 2 below to install ActivitySim from the lockfile.)
+
+1. Install *uv*. Instructions can be found 
+`here <https://docs.astral.sh/uv/getting-started/installation/>`_.
+
+2. Create a new project and virtual environment to work from and add ActivitySim. (Warning: This approach is quickest
+for getting started but does not rely on the lockfile to install dependencies so you may
+end up with different versions. If you want to use the lockfile, see Option 2 below.)
+
+Open a terminal, such as Command Prompt (note: not Anaconda Prompt), and run the following commands.
+
+::
 
-This command will create the environment and install all the dependencies
-required for running ActivitySim.  It is only necessary to create the environment
-once per machine, you do not need to (re)create the environment for each session.
-If you would also like to install other tools or optional dependencies, it is
-possible to do so by adding additional libraries to this command.  For example::
+  mkdir asim_project
+  cd asim_project
+  echo 3.10 > .python-version # This sets the Python version to 3.10, which is currently used for ActivitySim development.
+  uv init
+  uv add activitysim
 
-  mamba create -n asim python=3.10 activitysim jupyterlab larch -c conda-forge --override-channels
+*uv* will create a new virtual environment within the `asim_project` project folder 
+and install ActivitySim and its dependencies. The virtual environment is a hidden folder 
+within the `asim_project` directory called `.venv` and operates the same way as Python's classic *venv*.
 
-This example installs a specific version of Python, version 3.9.  A similar
-approach can be used to install specific versions of other libraries as well,
-including ActivitySim, itself. For example::
+3. Run an ActivitySim command using the following.
 
-  mamba create -n asim python=3.9 activitysim=1.0.2 -c conda-forge --override-channels
+::
 
-Additional libraries can also be installed later.  You may want to consider these
-tools for certain development tasks::
+  uv run ...
 
-  # packages for testing
-  mamba install pytest pytest-cov coveralls black flake8 pytest-regressions -c conda-forge --override-channels -n asim
+For example, run the ActivitySim commandline using the following. 
+More information about the commandline interface is available in 
+the :ref:`Ways to Run the Model` section.
 
-  # packages for building documentation
-  mamba install sphinx numpydoc sphinx_rtd_theme==0.5.2 -c conda-forge --override-channels -n asim
+::
 
-  # packages for estimation integration
-  mamba install larch -c conda-forge --override-channels -n asim
+  uv run activitysim run -c configs -o output -d data
 
-  # packages for example notebooks
-  mamba install jupyterlab matplotlib geopandas descartes -c conda-forge --override-channels -n asim
 
-To create an environment containing all these optional dependencies at once, you
-can run the shortcut command
+Run ActivitySim from a Different Directory
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+If you want to run ActivitySim from a directory different than where the code lives, 
+use the `project` option to point *uv* to this project using relative paths:
 
 ::
 
-  mamba env create activitysim/ASIM -n asim
+  uv run --project relative/path/to/asim_project activitysim run -c configs -o output -d data
 
-3. To use the **asim** environment, you need to activate it
+
+You could also activate the virtual environment created by *uv* and run ActivitySim from any directory. 
 
 ::
-  conda activate asim
 
-The activation of the correct environment needs to be done every time you
-start a new session (e.g. opening a new conda Prompt window).
+  .venv\Scripts\activate
+
+With this command, you have activated the virtual environment created by *uv* and can run ActivitySim commands from any directory.
+
+For more on *uv*, visit https://docs.astral.sh/uv/.
+
+Option 2: Install ActivitySim from the lockfile
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+To install dependencies from the lockfile and run ActivitySim exactly how
+its developers tested it, after installing *uv* clone the code repository
+and then run code.
+
+1. Install *uv*. Instructions can be found 
+`here <https://docs.astral.sh/uv/getting-started/installation/>`_. (Skip
+if already installed above. It only needs to be installed once per machine.)
 
 .. note::
+  If you already have *uv* installed from an older project and you encounter errors
+  such as 
+  ::
 
-  The *activate* and *deactivate* commands to start and stop using environments
-  are called as `conda` even if you are otherwise using `mamba`. mamba is a drop-in replacement and uses the same commands and configuration options as conda.
-  You can swap almost all commands between conda & mamba. For more details, refer to `the mamba user guide <https://mamba.readthedocs.io/en/latest/user_guide/mamba.html>`__.
+    error: Failed to parse uv.lock... missing field version...
+  
+  later in the process, you may need to update *uv* to the latest version by reinstalling it via the official
+  installation script: https://docs.astral.sh/uv/getting-started/installation/#standalone-installer.
+  You can check the version of *uv* you have installed by running
+  ::
 
-Using *pip* - Python's standard package manager
-_______________________________________________
+    uv --version
 
-If you prefer to install ActivitySim without a package manager like *mamba* or *conda*, it is possible to
-do so with pip, although you may find it more difficult to get all of the
-required dependencies installed correctly.  If you can use conda for
-the dependencies, you can get most of the libraries you need from there::
+1. Clone the ActivitySim project using Git. (If Git is not installed, 
+instructions can be found `here <https://git-scm.com/downloads>`_.)
 
-  # required packages for running ActivitySim
-  mamba install cytoolz numpy pandas psutil pyarrow numba pytables pyyaml openmatrix requests -c conda-forge
+::
 
-  # required for ActivitySim version 1.0.1 and earlier
-  pip install zbox
+  git clone https://github.com/ActivitySim/activitysim.git  
+  cd activitysim
 
-And then simply install activitysim with pip.
+3. Optionally create the virtual environment. This is created automatically 
+when running code in the next step, but manually syncing is an option too. 
+This step creates a hidden folder within the current directory called 
+`.venv` and operates the same way as Python's classic *venv*. (If you 
+want to install the project in a non-editable mode so that users on
+your machine cannot accidentally change the source code, use the 
+`--no-editable` option.) 
 
 ::
 
-  python -m pip install activitysim
+  uv sync --no-editable
 
-If you are using a firewall you may need to add ``--trusted-host pypi.python.org --proxy=myproxy.org:8080`` to this command.
+4. Run an ActivitySim command using the following. (This will automatically 
+create a virtual environment from the lockfile, if it does not already 
+exist.)
 
-For development work, can also install ActivitySim directly from source. Clone
-the ActivitySim repository, and then from within that directory run::
+::
 
-  python -m pip install . -e
+  uv run ...
 
-The "-e" will install in editable mode, so any changes you make to the ActivitySim
-code will also be reflected in your installation.
 
-Installing from source is easier if you have all the necessary dependencies already
-installed in a development conda environment.  Developers can create an
-environment that has all the optional dependencies preinstalled by running::
+It is worth pointing out that by default, *uv* installs projects in 
+editable mode, such that changes to the source code are immediately reflected 
+in the environment. `uv sync` and `uv run` both accept a `--no-editable` 
+flag, which instructs *uv* to install the project in non-editable mode, 
+removing any dependency on the source code.
 
-  mamba env create activitysim/ASIM-DEV
+Also, `uv run` automatically installs the dependencies listed in `pyproject.toml`
+under `dependencies` under `[project]`, and it also installs those listed 
+under `dev` under `[dependency-groups]` (not `github-action`). If you want to 
+skip the dependency groups entirely with a *uv* install (and only install those
+that would install via `pip` from 'pypi`), use the `--no-default-groups` flag 
+with `uv sync`.
 
-If you prefer to use a different environment name than `ASIM-DEV`, just
-append `--name OTHERNAME` to the command. Then all that's left to do is install
-ActivitySim itself in editable mode as described above.
+Run ActivitySim from a Different Directory
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+If you want to run ActivitySim from a directory different than where the code lives, 
+use the `project` option to point *uv* to this project using relative paths:
 
-.. note::
+::
 
-  ActivitySim is a 64bit Python 3 library that uses a number of packages from the
-  scientific Python ecosystem, most notably `pandas <http://pandas.pydata.org>`__
-  and `numpy <http://numpy.org>`__.
+  uv run --project relative/path/to/asim_project activitysim run -c configs -o output -d data
 
-  As mentioned above, the recommended way to get your own scientific Python installation is to
-  install 64 bit Anaconda, which contains many of the libraries upon which
-  ActivitySim depends + some handy Python installation management tools.
 
-  Anaconda includes the ``conda`` command line tool, which does a number of useful
-  things, including creating `environments <http://conda.pydata.org/docs/using/envs.html>`__
-  (i.e. stand-alone Python installations/instances/sandboxes) that are the recommended
-  way to work with multiple versions of Python on one machine.  Using conda
-  environments keeps multiple Python setups from conflicting with one another.
+You could also activate the virtual environment created by *uv* and run ActivitySim from any directory. 
+
+::
+
+  .venv\Scripts\activate
 
-  You need to activate the activitysim environment each time you start a new command
-  session.  You can remove an environment with ``conda remove -n asim --all`` and
-  check the current active environment with ``conda info -e``.
+With this command, you have activated the virtual environment created by *uv* and can run ActivitySim commands from any directory.
 
-  For more information on Anaconda, see Anaconda's `getting started
-  <https://docs.anaconda.com/anaconda/user-guide/getting-started>`__ guide.
+For more on *uv*, visit https://docs.astral.sh/uv/.
\ No newline at end of file
diff --git a/docs/users-guide/other_examples.rst b/docs/users-guide/other_examples.rst
index 321b4882ba..98011ba3da 100644
--- a/docs/users-guide/other_examples.rst
+++ b/docs/users-guide/other_examples.rst
@@ -100,10 +100,8 @@ has essentially the same configuration as the simpler three zone example above.
 
 *Example*
 
-
 To run prototype_marin, do the following:
 
-* Activate the correct conda environment if needed
 * Create a local copy of the example
 
 ::
@@ -117,7 +115,7 @@ To run prototype_marin, do the following:
 ::
 
   # Marin TM2 work tour mode choice for the MTC region
-  activitysim run -c configs -d data -o output -s settings_mp.yaml
+  uv run activitysim run -c configs -d data -o output -s settings_mp.yaml
 
 * For optimal performance, configure multiprocessing and chunk_size based on machine hardware.
 
diff --git a/docs/users-guide/run_primary_example.rst b/docs/users-guide/run_primary_example.rst
index 898b354041..d45e0eb4bf 100644
--- a/docs/users-guide/run_primary_example.rst
+++ b/docs/users-guide/run_primary_example.rst
@@ -3,22 +3,18 @@ Run the Primary Example
 
 To setup and run the primary example (see :ref:`examples`) from the command line interface, do the following:
 
-* Open the mamba or conda command prompt
-* If you installed ActivitySim using conda environments, activate the conda
-  environment with ActivitySim installed (i.e. ``conda activate asim``)
+* Type ``uv run activitysim create -e prototype_mtc -d test_prototype_mtc`` to copy
+  the very small prototype_mtc example to a new test_prototype_mtc directory
+* Change to the test_prototype_mtc directory ``cd test_prototype_mtc``
+* Type ``uv run activitysim run -c configs -o output -d data`` to run the example
+* Review the outputs in the output directory
+* ActivitySim will log progress and write outputs to the output folder.
 
 .. note::
-  Most ``conda`` and ``mamba`` commands can be used interchangeably in the **mamba command prompt**. In the above step, you could instead use ``mamba activate asim`` in the mamba command prompt.
-* Or, if you used the :ref:`pre-packaged installer<Pre-packaged Installer>`,
+  Or, if you used the :ref:`pre-packaged installer<Pre-packaged Installer>`,
   replace all the commands below that call ``activitysim ...`` with the complete
   path to your installed location, which is probably something
   like ``c:\programdata\activitysim\scripts\activitysim.exe``.
-* Type ``activitysim create -e prototype_mtc -d test_prototype_mtc`` to copy
-  the very small prototype_mtc example to a new test_prototype_mtc directory
-* Change to the test_prototype_mtc directory ``cd test_prototype_mtc``
-* Type ``activitysim run -c configs -o output -d data`` to run the example
-* Review the outputs in the output directory
-* ActivitySim will log progress and write outputs to the output folder.
 
 The example should run in a few minutes since it runs a small sample of households.
 
diff --git a/docs/users-guide/visualization.rst b/docs/users-guide/visualization.rst
index 2a930d337c..3da5a7fc0b 100644
--- a/docs/users-guide/visualization.rst
+++ b/docs/users-guide/visualization.rst
@@ -129,9 +129,13 @@ Trip-level skim data are also made available in the preprocessing stage by attac
 
 Install and Run Simwrapper
 ~~~~~~~~~~~~~~~~~~~~~~~~~~
-The SimWrapper Python package, which contains convenience functions for initiating the SimWrapper app in the browser and a local file server for accessing summary tables from this app, is automatically installed as a dependency of ActivitySim. However, you can also use SimWrapper independent of ActivitySim to, for example, visualize summaries on a different workstation. SimWrapper is available on both conda-forge and pip:
+The SimWrapper Python package, which contains convenience functions for initiating the SimWrapper app in the browser and a local file server for accessing summary tables from this app, is automatically installed as a dependency of ActivitySim. However, you can also use SimWrapper independent of ActivitySim to, for example, visualize summaries on a different workstation. SimWrapper is available on both conda-forge and pypi:
 ::
 
+  > uv add simwrapper
+
+or
+
   > conda install -c conda-forge simwrapper
 
 or
diff --git a/docs/users-guide/ways_to_run.rst b/docs/users-guide/ways_to_run.rst
index 98c1f09e8b..1b21221078 100644
--- a/docs/users-guide/ways_to_run.rst
+++ b/docs/users-guide/ways_to_run.rst
@@ -80,11 +80,9 @@ Refer to the :ref:`Run the Primary Example` section to learn how to run the prim
 Using Jupyter Notebook
 ______________________
 
-ActivitySim includes a `Jupyter Notebook <https://jupyter.org>`__ recipe book with interactive examples.  To run a Jupyter notebook, do the following:
+ActivitySim includes a `Jupyter Notebook <https://jupyter.org>`__ recipe book with interactive examples. 
 
-* Open a conda prompt and activate the conda environment with ActivitySim installed
-* If needed, ``conda install jupyterlab`` so you can run jupyter notebooks
-* Type ``jupyter notebook`` to launch the web-based notebook manager
+* To start JupyterLab, from the ActivitySim project directory run ``uv run jupyter lab``. This will start the JupyterLab server and pop up a browser window with the interactive development environment.
 * Navigate to the ``examples/prototype_mtc/notebooks`` folder and select a notebook to learn more:
 
   * `Getting started <https://github.com/ActivitySim/activitysim/blob/main/activitysim/examples/prototype_mtc/notebooks/getting_started.ipynb/>`__
diff --git a/pyproject.toml b/pyproject.toml
index 693a2ac03d..bd531b5790 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,9 +13,9 @@ dependencies = [
     "cytoolz >= 0.8.1",
     "multimethod <2.0",
     "numba >= 0.57",
-    "numpy >= 1.16.1, <2",
+    "numpy >= 1.16.1, <1.26",
     "openmatrix >= 0.3.4.1",
-    "pandas >= 1.4, <2",
+    "pandas >= 2",
     "pandera >=0.15, <0.18.1",
     "platformdirs",
     "psutil >= 4.1",
@@ -24,12 +24,12 @@ dependencies = [
     "pypyr >= 5.3",
     "pyyaml >= 5.1",
     "requests >= 2.7",
-    "scikit-learn >= 1.1",
+    "scikit-learn >= 1.2",
+    "setuptools>=80.9.0",
     "sharrow >= 2.9.1",
-    "simwrapper > 1.7",
     "sparse",
-    "tables >= 3.9",
-    "xarray >= 0.21"
+    "tables >= 3.9",  # pytables is tables in pypi
+    "xarray >= 2024.05",
 ]
 readme = "README.md"
 requires-python = ">=3.10"
@@ -97,3 +97,71 @@ convention = "numpy"
 
 [tool.ruff.per-file-ignores]
 "__init__.py" = ["E402", "F401"]  # Ignore import violations in all `__init__.py` files
+
+[dependency-groups]
+dev = [
+    "altair",
+    "autodoc_pydantic",
+    "asv",  # for benchmarking
+    "black==22.12.0,<23",
+    "bump2version",  # for making a release
+    "coveralls==3.3.1",
+    "dask==2023.11",
+    "descartes",
+    "filelock",
+    "fsspec",
+    "geopandas",
+    "gh",
+    "ipykernel",  # so this env will appear in jupyter as a selection
+    "isort==5.12.0",
+    "jupyter-book",
+    "jupyterlab",
+    "larch>=5.7",
+    "matplotlib",
+    "myst-nb",
+    "myst-parser",  # allows markdown in sphinx
+    "nbconvert",
+    "nbformat",
+    "nbmake==1.4.6",
+    "numexpr",
+    "numpydoc",
+    "pre-commit",
+    "pycodestyle",
+    "pydata-sphinx-theme",
+    "pyinstrument==4.4",
+    "pytest==7.2",
+    "pytest-cov",
+    "pytest-regressions",
+    "rich==13.3",
+    "ruby",  # for benchmarking pre-commit hooks
+    "ruff",
+    "setuptools_scm",
+    "simwrapper > 1.7",
+    "snakeviz",  # for profiling
+    "sphinx==6.1",
+    "sphinx-argparse",
+    "sphinx-autosummary-accessors",
+    "sphinx-copybutton",
+    "sphinx-remove-toctrees",
+    "sphinx_rtd_theme==1.2",
+    "sphinx-argparse==0.4",
+    "xmle",
+    "zarr>=2,<3",
+    "zstandard"
+]
+github-action = [
+    "black==22.12.0",
+    "coveralls==3.3.1",
+    "dask==2023.11",
+    "isort==5.12.0",
+    "nbmake==1.4.6",
+    "pytest==7.2",
+    "pytest-cov",
+    "pytest-regressions",
+    "ruff",
+    "zarr>=2,<3",
+    "zstandard"
+]
+
+[tool.uv]
+default-groups = ["dev"]
diff --git a/test/test_skim_name_conflicts.py b/test/test_skim_name_conflicts.py
new file mode 100644
index 0000000000..eafd5ee426
--- /dev/null
+++ b/test/test_skim_name_conflicts.py
@@ -0,0 +1,125 @@
+from __future__ import annotations
+
+import os
+import shutil
+from importlib.resources import files
+from pathlib import Path
+
+import openmatrix
+import pytest
+
+import activitysim.abm  # noqa: F401
+from activitysim.core import workflow
+
+
+def example_path(dirname):
+    resource = files("activitysim.examples.placeholder_sandag").joinpath(dirname)
+    return str(resource)
+
+
+def mtc_example_path(dirname):
+    resource = files("activitysim.examples.prototype_mtc").joinpath(dirname)
+    return str(resource)
+
+
+def psrc_example_path(dirname):
+    resource = files("activitysim.examples.placeholder_psrc").joinpath(dirname)
+    return str(resource)
+
+
+@pytest.fixture(scope="session")
+def example_data_dir(tmp_path_factory) -> Path:
+    """Fixture to provide the path to the example data directory."""
+    td = tmp_path_factory.mktemp("skim-conflict-data")
+    shutil.copytree(example_path("data_2"), td.joinpath("data_2"))
+    shutil.copy(
+        example_path(os.path.join("data_3", "maz_to_maz_bike.csv")),
+        td.joinpath("data_2"),
+    )
+
+    # add extra skims to OMX to create a conflict
+
+    with openmatrix.open_file(td.joinpath("data_2").joinpath("skims1.omx"), "a") as omx:
+        for t in ["EA", "AM", "MD", "PM", "EV"]:
+            # Create a new matrix for each time period
+            omx.createMatrix(f"DISTBIKE__{t}", obj=omx["DISTBIKE"][:])
+
+    return td.joinpath("data_2")
+
+
+def test_skim_name_conflicts(example_data_dir, tmp_path_factory):
+    # when sharrow is required, the run should fail due to conflicting skim names
+    state = workflow.State.make_default(
+        data_dir=example_data_dir,
+        configs_dir=(
+            example_path("configs_2_zone"),
+            psrc_example_path("configs"),
+        ),
+        output_dir=tmp_path_factory.mktemp("out-fail"),
+        settings={
+            "households_sample_size": 20,
+            "sharrow": "require",
+            "disable_zarr": True,
+        },
+    )
+    with pytest.raises(ValueError):
+        state.run(
+            [
+                "initialize_landuse",
+                "initialize_households",
+            ]
+        )
+
+
+def test_skim_name_conflicts_no_sharrow(example_data_dir, tmp_path_factory):
+    # when sharrow is disabled, the run should warn about conflicting skim names but not fail
+    state = workflow.State.make_default(
+        data_dir=example_data_dir,
+        configs_dir=(
+            example_path("configs_2_zone"),
+            psrc_example_path("configs"),
+        ),
+        output_dir=tmp_path_factory.mktemp("out-pass"),
+        settings={
+            "households_sample_size": 20,
+            "sharrow": False,
+            "disable_zarr": True,
+        },
+    )
+    # Run the beginning workflow with the modified settings, should only warn about the conflict
+    with pytest.warns(
+        UserWarning,
+        match="some skims have both time-dependent and time-agnostic versions",
+    ):
+        state.run(
+            [
+                "initialize_landuse",
+                "initialize_households",
+            ]
+        )
+
+
+@pytest.mark.parametrize("solution", ["^DISTBIKE$", "^DISTBIKE__.+"])
+def test_skim_name_conflicts_ok(example_data_dir, tmp_path_factory, solution):
+    # when sharrow is required, and omx_ignore_patterns is set correctly,
+    # the run should work without raising an error
+    state = workflow.State.make_default(
+        data_dir=example_data_dir,
+        configs_dir=(
+            example_path("configs_2_zone"),
+            psrc_example_path("configs"),
+        ),
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