Cal-ITP

Monthly GTFS Quality Report
Eastern Sierra Transit Authority  ·  May 2022

This is a monthly report, generated by the California Integrated Travel Project (Cal-ITP), summarizing issues discovered by MobilityData’s GTFS Validator. 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

01-01-2023
Feed End Date
0
Days With No Service
14
Routes
195
Stops

About the May 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 May 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 May 01 to May 31


Consistency with the California GTFS Minimum Guidelines

Do the following files/fields exist? 2022-05-01 2022-05-15 2022-05-29
Visual display shapes.txt
Navigation levels.txt
pathways.txt
Fares fare_leg_rules.txt
fare_rules.txt
Technical contacts feed_info.txt
Validation errors observed
Error Name Error Description Severity
duplicate_fare_rule_zone_id_fields Each of the following fields should be unique in fare_rules.txt: fare_rules.route_id, fare_rules.origin_id, fare_rules.contains_id and fare_rules.destination_id ERROR
feed_expiration_date At any time, the published GTFS dataset should be valid for at least the next 7 days, and ideally for as long as the operator is confident that the schedule will continue to be operated. If possible, the GTFS dataset should cover at least the next 30 days of service. WARNING
stop_time_timepoint_without_times Any record with stop_times.timepoint set to 1 should define a value for stop_times.arrival_time and stop_times.departure_time fields. WARNING
too_fast_travel As implemented in the original Google Python GTFS validator, the calculated speed between stops should not be greater than 150 km/h (42 m/s SI or 93 mph). WARNING