Cut 2 mile road segments, prep for route typologies

[tiffanychu90]

gtfs_funnel

• adjust stop_times script keep feed_key and also add stop_pair_name - run for all dates we have
• rename script to schedule_stats_by_route_direction, and use this is an input for route typologies

gtfs digest

• look through existing draft digest and see where additional route cleaning should be done.
• list the operators that need extra parsing of route name so that it's more readable (extra_cleaning.py)
• add polars as a package in shared_utils in case we want to use great-tables (some functionality is for polars dfs, not pandas df).

road segments

• refactor script and simplify, cut all the roads at once
• allow different distances (we have 1km), but for route typologies, try 2 miles long, since stop distances in NACTO route typologies are per mile
• Research Request - GTFS Digest Data Cleaning #1060

segment speeds

• remove sjoin vp to roads script
• try nearest neighbor of vp to 1km road segments only a couple shapes. will need more investigation to scale and calculate it for all the shapes.
• Epic - Transit speeds on road segments #916

[github-actions]

nbviewer URLs for impacted notebooks:

• rt_segment_speeds/scripts/vp_on_road_segments.ipynb

[github-actions]

nbviewer URLs for impacted notebooks:

• rt_segment_speeds/scripts/vp_on_road_segments.ipynb

[github-actions]

nbviewer URLs for impacted notebooks:

• rt_segment_speeds/scripts/vp_on_road_segments.ipynb

[github-actions]

nbviewer URLs for impacted notebooks:

• rt_segment_speeds/scripts/vp_on_road_segments.ipynb

[github-actions]

nbviewer URLs for impacted notebooks:

• rt_segment_speeds/scripts/vp_on_road_segments.ipynb

[github-actions]

nbviewer URLs for impacted notebooks:

• rt_segment_speeds/scripts/vp_on_road_segments.ipynb

[github-actions]

nbviewer URLs for impacted notebooks:

• rt_segment_speeds/scripts/vp_on_road_segments.ipynb