Comments (2)
@theocharides let me know if you think this is a general issue or just one related to my use case for leveraging sqft_per_job_adjusters
for the exogenous adjustments.
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Hi @akselx - I think I need more code comments here to start, since it's not very straightforward. Also when I last looked at this I thought I saw a typo where the code comments for these lines are swapped.
The idea was that either telecommute rates get applied to future years, or the default rate gets applied, but in any case you can see it in the inputs based on what's turned on in run_setup.yaml
without doing multiplication. But I see how that means you can't apply both at the same time without embedding the defaults in the future years.
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Related Issues (20)
- Development projects & geography summary error
- Random seed - hardcoded vs. command line flag HOT 1
- Cleaning up BAUS - Feb 2020 HOT 6
- Data type error HOT 3
- Notes about dependency versions and compatibility HOT 1
- simulation_validation error HOT 3
- Large household discrepancy flagged by utils.scale_by_target
- Parcel IDs from parcels_subzone table incorrect HOT 2
- Preprocessing issue when jobs exist but no buildings HOT 4
- duplicated "def zone_forecast_inputs()" function HOT 2
- Parcels with missing xy
- Possible issue with missing data when using subsidized_residential_feasibility HOT 2
- Push jobs and households datasets to RedShift & H5 HOT 1
- TM1 outputs should have numeric county identifier
- BOC: change allowed types to use caps
- sqft per job factor should not be hard coded
- `sqft_per_job` function: Replace `fillna('O')` which is an undefined building type
- Keys checked for in `baus.py` need to be in `run_setup.yaml` HOT 1
- Bug in pd.DataFrame instantiation with curly braces
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