- Define 'closed' social classes + design random draws within each class
- Social class distribution
- Check all known parameters (set to national level? -- currently set to london)
- household logic
- Amenities random change (maybe depend on gentrification?) -> or assume study "all other parameters remaining equal"
- Adjust life expectency for accidental death (currently included as "emmigration" for simplicity) + orphans?
- Assemble test data
- Create new Azure blob
- Create region
- Dl & Aggregate data
- data to model material
- Iterate
- step with seeding
- step without seeding
- Output dashboard
income_in_wneigh
andactivity_in_tneigh
- Freeze period before property can be vacated again
- Add println for user's convenience
- immigration with families
- emigtration without fanilies
- Behaviour calibration
- Normalise accessible amenities of each type compared to the other types
- Gentrification processes