Closed lmz closed 9 months ago
Changes:
initial_summary_year
from 2015 to 2020subsidies.py
, add a guard clause so affordable housing preservation is not applied prior to 2025core_summaries.py
, use try
/except
logic to avoid a crash when interim_zone_output_all
does not yet existgeographic_summaries.py
, comment out a guard clause so we get geographic summaries for all years (useful for validation Tableau)travel_model_summaries.py
, comment out a guard clause so we get taz1 summaries for all yearsv7: housing preservation activated in 2025
) and supporting Python preprocessing scripts and notebooksCopied your notes into description; thank you, @drewlevitt !
Adding a few quick comments here:
year < 2025
line as a test but I think we can prevent hardcoding the year with this: https://github.com/BayAreaMetro/bayarea_urbansim/pull/347/commits/97ea86524894194ba5b3fad6214bd5cd68f0ebea#diff-8e32919ed5dab8c6af82aeeb375599e2981a9ac4427a7132bf89d899c7499616R58datasources.py
input to read in a generic variable called something like development_projects
and then in run_setup.yaml
we could define that variable with the real file name e.g., development_pipeline_with_basis_buildings_nov2023
.Thanks @theocharides !
try
/except
logic around interim_zone_output should work OK, but let's keep an eye on itmain
afterwards. @lmz does that sound OK?
Changes (via @drewlevitt - https://github.com/BayAreaMetro/bayarea_urbansim/pull/343#issuecomment-1839348474)
initial_summary_year
from 2015 to 2020subsidies.py
, add a guard clause so affordable housing preservation is not applied prior to 2025core_summaries.py
, use try/except logic to avoid a crash when interim_zone_output_all does not yet existgeographic_summaries.py
, comment out a guard clause so we get geographic summaries for all years (useful for validation Tableau)travel_model_summaries.py
, comment out a guard clause so we get taz1 summaries for all yearsAdd PBA50+ validation Tableau workbook (through contingency plan run
v7: housing preservation activated in 2025
) and supporting Python preprocessing scripts and notebooks