Monthly GTFS Quality Report
Menlo Park Shuttles  ·  March 2023

This is a monthly report generated by the California Integrated Travel Project (Cal-ITP) and Caltrans. It summarizes progress towards the California Transit Data Guidelines, in addition to providing a snapshot of transit service characteristics such as service hours. This report is available for viewing by the general public to support continuous improvement of GTFS data and the experience of transit passengers.


Current GTFS Feed Info

None
Feed End Date
31.0
Days With No Service
6
Routes
98
Stops
Has RT Feed
This feed includes GTFS-Realtime (GTFS-RT). Realtime data contributes to a better rider experience by letting riders know exactly when their bus or train is coming, as well as detour and trip cancellation info. It also enables Cal-ITP to support transit agencies with analyses such as our California Transit Speed Maps, viewable by clicking the button above. Certain feeds may include RT data but not have a speed map available. To generate a speed map, we require GTFS-RT Vehicle Positions data that matches the rest of the GTFS feed. Additionally, we don't currently generate speed maps for rail service. Please contact us at [email protected] with any questions about GTFS-RT data or suggestions for analysis products.

Source URLs

Note: Links may lead directly to downloads and/or to resources that require authentication


Technology Vendors

No vendor information available

About the March Daily Service Level Charts

  • These charts show the total hours of transit service described by the active feed for each day.
  • Since service levels often vary by the day of the week, it is split into three charts for weekdays, Saturdays, and Sundays.
  • Flat lines indicate consistent levels of service throughout the month.
  • Short drops may indicate temporary reduced service, such as for holidays, gaps in feed publishing, or potential inaccuracies.
  • Please reach out to our help desk at [email protected] with any questions.

Service hours per weekday in the active feed

Service hours per Saturday in the active feed

Service hours per Sunday in the active feed


About the March Identifier Change Charts

  • These charts show the percentage of stop and route IDs that have changed since the previous month.
  • Stop and route IDs are important identifiers for GTFS feed consumers to correctly parse feeds.
  • It is a GTFS Best Practice to keep these consistent between feed versions whenever possible.
  • More than 5% being new or dropped is a cause for attention, especially if there hasn't been a major service or route change.
  • Please reach out to our help desk at [email protected] with any questions.

Changes from March 01 to March 31


Consistency with the California Transit Data Guidelines

The following checks measure adherence to the GTFS Schedule Compliance portion of the California Transit Data Guidelines.

The following symbols are used to denote each check's outcome on the given date:

  • Pass
  • Fail
  • Not applicable/data unavailable

Checks marked with an asterisk (*) are periodically performed manually. We can update these on request, so let us know if one of them looks off.

GTFS Schedule Compliance Check 2023-03-04 2023-03-18
A GTFS Schedule feed is listed
GTFS schedule feed downloads successfully
No errors in MobilityData GTFS Schedule Validator
GTFS Schedule feed is published at a stable URI (permalink) from which it can be “fetched” automatically by trip-planning applications*
Includes an open license that allows commercial use of GTFS Schedule feed*
GTFS Schedule feed ingested by Google Maps and/or a combination of Apple Maps, Transit App, Bing Maps, Moovit or local Open Trip Planner services*
MobilityData GTFS Schedule Validator notices observed (read more about the validator here)
Error Name Error Description Severity
unknown_column A column is unknown. INFO
missing_recommended_file A recommended file is missing. WARNING
missing_timepoint_column The timepoint column should be provided. WARNING
invalid_row_length A row in the input file has a different number of values than specified by the CSV header. ERROR
duplicate_route_name All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name. WARNING