3. Use Cases

Travel model estimation/calibration

Input: raw survey household, person, and trip files
Output: household, person, and trip files formatted to model data specifications and filtered/modified to match the model trip domain.
Subtasks:
- Spatial join to model TAZ systems
- Recode raw survey field names and data values to match the travel model specifications
- Drop out-of-region travel
- Handling night spent at non-home locations
SFCTA scripts:
- spatial join
- survey recode
MTC:
- survey recode - historically, I think this got done at the end during travel model development, but not because that's a good idea -- it's more that the survey deliverables didn't include this.
PSRC:
- survey conversion Has code for Daysim, ActivitySim and UrbanSim

Input: Dataset with no imputed variables
Output: New columns for imputed variables; imputation quality report for each variable imputed
Transparency: algorithm/model used for imputation documented and reproducible; imputed variables documented; imputation confidence variable? (There appears to be a fair number of papers on how to evaluate imputation methods; we might settle on some. What does RSG use?)
MTC: RSG 2020 work:
- https://github.com/BayAreaMetro/tnc_california_studies/tree/stable/8.4_mode_imputation
- https://github.com/BayAreaMetro/tnc_california_studies/blob/stable/8.3_num_travelers/01_update_num_travelers.R
PSRC: This script has some imputation:
- https://github.com/psrc/travel-survey-QC-Clean/tree/main/survey_data_cleaning

Input: Unlinked trips, rules for determining linked trip attribute from unlinked trip attributes
Output: Linked trip table with linked trip attributes
Transparency: algorithm used for trip linking documented and reproducible
MTC: RSG 2020 work: https://github.com/BayAreaMetro/tnc_california_studies/tree/stable/8.2_transit_improvement
SFCTA: trip linking

Input: Household tables, person tables, linked trip tables; rules for determining tour attributes from linked trip attributes
Output: Tour table with tour attributes
Transparency: algorithm used for tour building documented and reproducible
MTC: RSG 2020 work: ???
SFCTA: https://github.com/sfcta/travel_diary_survey_scripts/tree/master/2022/03-tour_extract

Input: Household tables, person tables, tour tables, linked trip tables; linked trips/tours have day of week associated with them; requirements for weighting properties
Output: Input tables with weighting columns, with:
- Dummy rows for households/persons/tours/linked trips not surveyed
- Weight columns
- Report on how weight columns matched the requirements
MTC: RSG 2020 work: https://github.com/BayAreaMetro/tnc_california_studies/tree/stable/8.1_PopSim_weighting