GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-19T17:58:20Z,
for the dataset file:///shared/yuma-county_f1b55986.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

  • Yuma County Intergovernmental Public Transportation Authority

Feed Info

Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included

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

Counts

  • Agencies: 1
  • Blocks: 14
  • Routes: 10
  • Shapes: 23
  • Stops: 427
  • Trips: 174

Specification Compliance report

182 notices reported (0 errors, 8 warnings, 174 infos)

Notice Code Severity Total
missing_recommended_field WARNING 1

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.
"fare_attributes.txt" 2 "agency_id"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
service_has_no_active_day_of_the_week WARNING 4

service_has_no_active_day_of_the_week

A service is not valid for any day of the week.

You can see more about this notice here.

csvRowNumber (?) The row number in calendar.txt where the error occurs. serviceId (?) The service_id field value.
19 "3-normal"
20 "3-ext"
27 "10i-Sat"
29 "10o-Sat"
stops_match_shape_out_of_order WARNING 2

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
16 "rt5-flex" "212" 763 "44" "Winterhaven Drive @ Railroad Avenue" [32.73835611548091,-114.6345439317142] 766 "616" "1st Street @ Gila Street" [32.72538344862896,-114.61659783712894]
3 "rt5" "213" 3209 "44" "Winterhaven Drive @ Railroad Avenue" [32.738456710820365,-114.63451248319473] 3212 "616" "1st Street @ Gila Street" [32.72542176253123,-114.61659524710043]
unsorted_stop_times INFO 174

unsorted_stop_times

Stop times are not sorted by trip_id and stop_sequence.

'stop_times.txt' entries for a given trip are not sorted by stop_sequence, or are not contiguous in the file.

You can see more about this notice here.

Only the first 50 of 174 affected records are displayed below.

tripId (?) The faulty record's trip_id. startCsvRowNumber (?) CSV row number of the first stop_times entry for this trip. endCsvRowNumber (?) CSV row number of the last stop_times entry for this trip.
"190" 3426 4770
"191" 2506 4779
"193" 2529 4787
"194" 2536 4794
"350" 4158 5346
"196" 4802 4805
"351" 10 5376
"197" 2579 4812
"352" 2 3754
"353" 714 5342
"199" 2610 4819
"354" 692 5337
"355" 713 5014
"234" 1753 3041
"235" 12 5060
"356" 4936 4985
"115" 1468 4329
"116" 1527 5303
"90" 2016 3958
"238" 3351 3969
"239" 2262 4826
"14" 32 5383
"16" 36 3409
"17" 80 3403
"18" 121 3391
"19" 154 2969
"240" 2302 3473
"363" 1131 5194
"243" 14 1613
"364" 120 3042
"365" 1207 4903
"244" 1479 5557
"366" 1250 4913
"245" 2022 3989
"367" 17 4893
"246" 2023 3986
"400" 2184 2574
"368" 1136 4873
"247" 2024 2109
"401" 2181 2188
"369" 1077 3867
"248" 2025 3984
"402" 2177 2180
"249" 2026 5420
"403" 2174 2528
"404" 2524 2527
"405" 2520 2523
"406" 2215 2280
"407" 4837 4881
"408" 2190 2831