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university-california — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-15T01:09:13Z,
for the dataset file:///shared/university-california_836c8d1a.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
TripShot
Publisher URL:
https://tripshot.com/
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
N/A
Feed End Date:
N/A

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. feed_info.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 17
  • Shapes: 28
  • Stops: 33
  • Trips: 421

Specification Compliance report

68 notices reported (24 errors, 38 warnings, 6 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 24

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"33906e17-aaf9-4853-8bad-498e27c58096" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 120 0.0 2 119 0.0 1
"11a24db6-860c-46a5-ba60-1c1b41ffe230" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 216 0.0 2 215 0.0 1
"b23f0990-bf4c-42aa-98e3-6beb942201b2" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 150 0.0 2 149 0.0 1
"b070e501-65dd-40ac-9ca0-51eb40c4a1f3" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 198 0.0 2 197 0.0 1
"995b5d81-82b3-48c8-b030-134d02dc5e2b" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 126 0.0 2 125 0.0 1
"e10acde7-1dfc-4e4a-83aa-e93766f7e6c2" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 228 0.0 2 227 0.0 1
"e4834cd7-917c-4947-910b-9190477737f6" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 168 0.0 2 167 0.0 1
"7b3a0568-af13-4f40-adc9-72faf33dbc23" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 174 0.0 2 173 0.0 1
"b715b01f-b31f-4c80-8759-79726f0ec309" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 204 0.0 2 203 0.0 1
"486a620d-0015-4669-b967-6dba45b1055e" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 109 0.0 2 108 0.0 1
"2989834a-3ca5-410b-89e9-4ec36b7c89cb" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 162 0.0 2 161 0.0 1
"b679ee52-8441-43a3-a0f4-b75317bfe310" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 180 0.0 2 179 0.0 1
"fc423640-bedb-49d1-bf51-24132a4150bb" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 138 0.0 2 137 0.0 1
"310c22c4-98cb-4fd0-a9dc-26abb375c558" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 222 0.0 2 221 0.0 1
"ac8503ad-df47-41c6-835b-279358b1fced" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 156 0.0 2 155 0.0 1
"e01620d9-b252-41fb-9333-b571ecf665f6" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 192 0.0 2 191 0.0 1
"87f9fd67-04f4-446f-89d3-22f000afcbfc" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 144 0.0 2 143 0.0 1
"d078b665-6df0-4478-86ef-2e03707327bf" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 186 0.0 2 185 0.0 1
"3151b87c-6ee9-46fa-b22c-b08c0c7a2afe" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 210 0.0 2 209 0.0 1
"b73b2b78-551f-4d03-8eb8-085a6a4f485e" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 240 0.0 2 239 0.0 1
"88f6328e-904c-4a9b-9c33-5805837a27c3" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 115 0.0 2 114 0.0 1
"b182ebe9-f2f0-417c-b08f-082c0689e5bb" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 103 0.0 2 102 0.0 1
"ece5e4f8-652c-4511-92c9-0a9cfdf55e5a" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 234 0.0 2 233 0.0 1
"e2e2c7d7-18a1-42ce-9bd5-efff996c6ff0" "e01fbc5b-da79-4503-a6fb-b12da857f99d" 132 0.0 2 131 0.0 1
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_recommended_field WARNING 20

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"feed_info.txt" 2 "feed_start_date"
"feed_info.txt" 2 "feed_end_date"
"feed_info.txt" 2 "feed_version"
"routes.txt" 2 "agency_id"
"routes.txt" 3 "agency_id"
"routes.txt" 4 "agency_id"
"routes.txt" 5 "agency_id"
"routes.txt" 6 "agency_id"
"routes.txt" 7 "agency_id"
"routes.txt" 8 "agency_id"
"routes.txt" 9 "agency_id"
"routes.txt" 10 "agency_id"
"routes.txt" 11 "agency_id"
"routes.txt" 12 "agency_id"
"routes.txt" 13 "agency_id"
"routes.txt" 14 "agency_id"
"routes.txt" 15 "agency_id"
"routes.txt" 16 "agency_id"
"routes.txt" 17 "agency_id"
"routes.txt" 18 "agency_id"
route_long_name_contains_short_name WARNING 17

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"ef9f00fe-567c-42e8-8da1-b1baeca69060" 2 "Gold" "Gold"
"27b16580-1cd8-43df-a46a-a0405149cd6c" 3 "Navy Midday" "Navy Midday"
"85059017-1d79-479f-869b-d3d00dbac8e8" 4 "Lilac AM" "Lilac AM"
"Orange (Oakland)" 5 "Orange" "Orange (Oakland)"
"Teal (Oakland)" 6 "Teal" "Teal (Oakland)"
"00a9d018-5ba1-41ff-9734-d65ee28c3f63" 7 "Grey" "Grey"
"82b86b07-32e4-4980-89cf-1a301173fced" 8 "VA" "VA"
"aa368b21-4ad6-4404-9aae-7818bf03b409" 9 "Blue" "Blue"
"50354af3-28cb-47de-988a-0c7307a797a0" 10 "Cherry" "Cherry"
"5db574f3-104b-4a03-8b99-0331b57d7112" 11 "Lilac PM" "Lilac PM"
"0f4aeb83-7e63-46fe-bfab-9e1519311309" 12 "Bronze" "Bronze"
"9623848f-b9c8-48e5-bc8f-ab4193d0166b" 13 "Red" "Red"
"75d50754-03ab-4ced-b0ae-180cd637566a" 14 "Pink AM" "Pink AM"
"af969294-6287-4df9-9aa5-30bf7fc64ed2" 15 "Pink PM" "Pink PM"
"Green (Oakland)" 16 "Green" "Green (Oakland)"
"f2ab3d57-c35d-4a09-af1e-6905740ec4fd" 17 "Navy" "Navy"
"e02f34ba-1fee-48ef-8366-6490523f0999" 18 "Lime" "Lime"
big_gap_in_service INFO 6

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"f90818da-3c2e-4095-a18a-0de485113fe5" "2025-04-01" "2025-05-01" 29
"f90818da-3c2e-4095-a18a-0de485113fe5" "2025-05-01" "2026-07-06" 430
"ed2796cc-645b-4ca0-bb81-e64fb68bcf15" "2025-05-01" "2026-02-17" 291
"eaf6a8b8-50f4-4701-a674-76dc3c7f5ef6" "2024-12-20" "2025-01-06" 16
"92453e1a-b5a5-48fc-b4fe-6c38b4c091e5" "2024-12-20" "2025-01-06" 16
"51d8c460-1da3-4ded-a00a-7785d4ca30c8" "2024-12-20" "2025-01-06" 16