west-hollywood — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-01T12:45:43Z,
for the dataset file:///shared/west-hollywood_88d1de59.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


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. fare_rules.txt
  6. routes.txt
  7. shapes.txt
  8. stop_times.txt
  9. stops.txt
  10. trips.txt

Counts


  • Agencies: 1
  • Blocks: 7
  • Routes: 4
  • Shapes: 6
  • Stops: 91
  • Trips: 241

Specification Compliance report

252 notices reported (1 errors, 123 warnings, 128 infos)

Notice Code Severity Total
duplicate_key ERROR 1

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

filename (?) The name of the faulty file oldCsvRowNumber (?) The row of the first occurrence. newCsvRowNumber (?) The row of the other occurrence. fieldName1 (?) Composite key's first field name. fieldValue1 (?) Composite key's first value.
"calendar_dates.txt" 5 6 "service_id,date" "WD,20231123"
expired_calendar WARNING 4

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "WD"
3 "SAT"
4 "SUN"
5 "WE"
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"
mixed_case_recommended_field WARNING 113

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

Only the first 50 of 113 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"trips.txt" "trip_headsign" "westbound" 130
"trips.txt" "trip_headsign" "westbound" 131
"trips.txt" "trip_headsign" "westbound" 132
"trips.txt" "trip_headsign" "westbound" 133
"trips.txt" "trip_headsign" "westbound" 134
"trips.txt" "trip_headsign" "westbound" 135
"trips.txt" "trip_headsign" "westbound" 136
"trips.txt" "trip_headsign" "westbound" 137
"trips.txt" "trip_headsign" "eastbound" 138
"trips.txt" "trip_headsign" "eastbound" 139
"trips.txt" "trip_headsign" "eastbound" 140
"trips.txt" "trip_headsign" "eastbound" 141
"trips.txt" "trip_headsign" "eastbound" 142
"trips.txt" "trip_headsign" "eastbound" 143
"trips.txt" "trip_headsign" "eastbound" 144
"trips.txt" "trip_headsign" "eastbound" 145
"trips.txt" "trip_headsign" "eastbound" 146
"trips.txt" "trip_headsign" "westbound" 147
"trips.txt" "trip_headsign" "westbound" 148
"trips.txt" "trip_headsign" "westbound" 149
"trips.txt" "trip_headsign" "westbound" 150
"trips.txt" "trip_headsign" "westbound" 151
"trips.txt" "trip_headsign" "westbound" 152
"trips.txt" "trip_headsign" "westbound" 153
"trips.txt" "trip_headsign" "westbound" 154
"trips.txt" "trip_headsign" "westbound" 155
"trips.txt" "trip_headsign" "eastbound" 156
"trips.txt" "trip_headsign" "eastbound" 157
"trips.txt" "trip_headsign" "eastbound" 158
"trips.txt" "trip_headsign" "eastbound" 159
"trips.txt" "trip_headsign" "eastbound" 160
"trips.txt" "trip_headsign" "eastbound" 161
"trips.txt" "trip_headsign" "eastbound" 162
"trips.txt" "trip_headsign" "eastbound" 163
"trips.txt" "trip_headsign" "eastbound" 164
"trips.txt" "trip_headsign" "westbound" 165
"trips.txt" "trip_headsign" "westbound" 166
"trips.txt" "trip_headsign" "westbound" 167
"trips.txt" "trip_headsign" "westbound" 168
"trips.txt" "trip_headsign" "westbound" 169
"trips.txt" "trip_headsign" "westbound" 170
"trips.txt" "trip_headsign" "westbound" 171
"trips.txt" "trip_headsign" "westbound" 172
"trips.txt" "trip_headsign" "westbound" 173
"trips.txt" "trip_headsign" "eastbound" 174
"trips.txt" "trip_headsign" "eastbound" 175
"trips.txt" "trip_headsign" "eastbound" 176
"trips.txt" "trip_headsign" "eastbound" 177
"trips.txt" "trip_headsign" "eastbound" 178
"trips.txt" "trip_headsign" "eastbound" 179
stops_match_shape_out_of_order WARNING 3

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.
138 "EBHL" "HHL:T209" 3681 "S50" "La Brea/Fountain" [34.0941534054929,-118.34410572619309] 3680 "S80" "Hollywood/Highland" [34.101176042627195,-118.33871150177254]
146 "EBHL" "HHL:T217" 3769 "S50" "La Brea/Fountain" [34.0941534054929,-118.34410572619309] 3768 "S80" "Hollywood/Highland" [34.101176042627195,-118.33871150177254]
130 "WBHL" "HHL:T201" 3585 "S66" "Santa Monica/San Vicente" [34.085129824337415,-118.38384775649692] 3584 "S48" "Library" [34.08205795444885,-118.38361897722189]
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20260801" "20220107" "20231230"
unsorted_stop_times INFO 128

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 128 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.
"PU:T159" 959 975
"PU:T157" 926 942
"PU:T158" 943 958
"PU:T155" 893 909
"PU:T156" 910 925
"PU:T153" 860 876
"PU:T154" 877 892
"PU:T151" 827 843
"PU:T152" 844 859
"PU:T150" 811 826
"PU:T160" 976 991
"PU:T214" 1207 1222
"PU:T215" 1223 1239
"PU:T212" 1174 1189
"PU:T213" 1190 1206
"PU:T210" 1141 1156
"PU:T211" 1157 1173
"PU:T218" 1273 1288
"PU:T219" 1289 1305
"PU:T216" 1240 1255
"PU:T217" 1256 1272
"PU:T104" 52 67
"PU:T225" 1388 1404
"PU:T105" 68 84
"PU:T226" 1405 1420
"PU:T102" 19 34
"PU:T223" 1355 1371
"PU:T103" 35 51
"PU:T224" 1372 1387
"PU:T221" 1322 1338
"PU:T101" 2 18
"PU:T222" 1339 1354
"PU:T220" 1306 1321
"PU:T108" 118 133
"PU:T229" 1454 1470
"PU:T109" 134 150
"PU:T106" 85 100
"PU:T227" 1421 1437
"PU:T107" 101 117
"PU:T228" 1438 1453
"PU:T203" 1025 1041
"PU:T204" 1042 1057
"PU:T201" 992 1008
"PU:T202" 1009 1024
"PU:T209" 1124 1140
"PU:T207" 1091 1107
"PU:T208" 1108 1123
"PU:T205" 1058 1074
"PU:T206" 1075 1090
"PU:T137" 596 611