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Complete the below when receiving a research request, and continue to add to this issue as you receive additional details and produce deliverables. Be sure to also add the appropriate project-level label to this issue (eg gtfs-rt, DLA).
See how well aggregate transit service and speeds by segments fit together. Let's compare peak vs off peak aggregate service hours and average speeds by CalEnviroScreen scores (3 groups).
Use different dates for aggregate transit service and speeds for now.
Does having shape_id for aggregate service hours make sense? Are we able to link it to a line geometry if we try?
Finding: first, need to add aggregate service hours. also, need a sense of which shape_id had more days go into the aggregation. that might help with selecting a certain day to download and get the line geometry.
Data sources
Cal-ITP data sources:
mart_ad_hoc.fct_scheduled_service_by_daypart for Dec 2022
speeds by route segments for 1/18/23
External data sources: CalEnviroScreen and LEHD data by census tract (in GCS)
Deliverables:
Notebook
The text was updated successfully, but these errors were encountered:
Complete the below when receiving a research request, and continue to add to this issue as you receive additional details and produce deliverables. Be sure to also add the appropriate project-level label to this issue (eg gtfs-rt, DLA).
Research Question
Single sentence description:
Detailed description:
shape_id
for aggregate service hours make sense? Are we able to link it to a line geometry if we try?shape_id
had more days go into the aggregation. that might help with selecting a certain day to download and get the line geometry.Data sources
Cal-ITP data sources:
mart_ad_hoc.fct_scheduled_service_by_daypart
for Dec 2022External data sources: CalEnviroScreen and LEHD data by census tract (in GCS)
Deliverables:
Notebook
The text was updated successfully, but these errors were encountered: