GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-24T00:48:42Z,
for the dataset file:///shared/sarasota-county-area-transit-2.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Breeze Transit
Publisher URL:
https://www.scgov.net
Feed Email:
scatdispatch@scgov.net
Feed Language:
English
Feed Start Date:
2025-12-01
Feed End Date:
2026-04-24

Files included

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

Counts

  • Agencies: 1
  • Blocks: 117
  • Routes: 17
  • Shapes: 68
  • Stops: 1365
  • Trips: 2029

Specification Compliance report

3588 notices reported (0 errors, 3588 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 27

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"af7895db-24a3-4207-bab0-75e973f2c995" 19444 23923.21 518 19443 23923.21 517 0.05115369893864162
"af7895db-24a3-4207-bab0-75e973f2c995" 19445 23923.21 519 19444 23923.21 518 0.05115369893864162
"3bd73655-b6da-4bcf-9c5d-4b424975ddb3" 2030 4555.2 123 18922 4555.2 122 0.05115369893864162
"3bd73655-b6da-4bcf-9c5d-4b424975ddb3" 7767 4555.2 124 2030 4555.2 123 0.05115369893864162
"8832d525-6347-4d23-8622-cc735134326a" 11926 144.91 4 11925 144.91 3 0.05115369893864162
"8832d525-6347-4d23-8622-cc735134326a" 21805 144.91 5 11926 144.91 4 0.05115369893864162
"dadcef18-2a2b-4cd5-8b30-fa0f935a5024" 5860 7014.85 204 8596 7014.85 203 1.0963525087781534E-8
"dadcef18-2a2b-4cd5-8b30-fa0f935a5024" 20290 12357.52 352 8171 12357.52 351 0.05115369893864162
"dadcef18-2a2b-4cd5-8b30-fa0f935a5024" 20291 12357.52 353 20290 12357.52 352 0.05115369893864162
"a5783dfb-bf56-41ec-b764-29d4943fe7dc" 13806 6805.07 200 532 6805.07 199 1.0963525087781534E-8
"6852e7b2-0fd6-4171-81f4-111bc2c0a565" 8720 144.91 4 8719 144.91 3 0.05115369893864162
"6852e7b2-0fd6-4171-81f4-111bc2c0a565" 13211 144.91 5 8720 144.91 4 0.05115369893864162
"f0c6b6cc-2690-4492-8bb9-9fd8659a6860" 19094 23923.21 518 18637 23923.21 517 0.05115369893864162
"f0c6b6cc-2690-4492-8bb9-9fd8659a6860" 20276 23923.21 519 19094 23923.21 518 0.05115369893864162
"2bd5db4c-bc50-4c5d-bcca-305bcf8ab9e5" 11523 6747.5 141 11522 6747.5 140 0.05115369893864162
"2bd5db4c-bc50-4c5d-bcca-305bcf8ab9e5" 11524 6747.5 142 11523 6747.5 141 0.05115369893864162
"d6cd659d-6f6f-4c89-adb0-ffd348fa726e" 3027 144.91 4 3026 144.91 3 0.05115369893864162
"d6cd659d-6f6f-4c89-adb0-ffd348fa726e" 3028 144.91 5 3027 144.91 4 0.05115369893864162
"6f3646ac-762a-4b4b-be41-22732f992140" 15800 144.91 4 8740 144.91 3 0.05115369893864162
"6f3646ac-762a-4b4b-be41-22732f992140" 19654 144.91 5 15800 144.91 4 0.05115369893864162
"e0d2ad04-a0e6-4f8f-a7fc-4b753e4b7c81" 10986 7014.48 204 15277 7014.48 203 1.0963525087781534E-8
"e0d2ad04-a0e6-4f8f-a7fc-4b753e4b7c81" 7765 12357.15 352 20183 12357.15 351 0.05115369893864162
"e0d2ad04-a0e6-4f8f-a7fc-4b753e4b7c81" 15495 12357.15 353 7765 12357.15 352 0.05115369893864162
"d868e4bb-1ee9-42a7-818e-5010bbdcce04" 2747 23923.21 518 2746 23923.21 517 0.05115369893864162
"d868e4bb-1ee9-42a7-818e-5010bbdcce04" 2748 23923.21 519 2747 23923.21 518 0.05115369893864162
"a3de85a1-12ba-4074-a7a6-96b5f172f20c" 6563 7177.95 150 4099 7177.95 149 4.420776245073199E-8
"36d8564f-e50e-4e2e-8242-7a2811656be0" 10973 6927.5 149 21183 6927.5 148 4.420776245073199E-8
equal_shape_distance_same_coordinates WARNING 170

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

Only the first 50 of 170 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"3901abf6-2f66-4d02-9f76-510165283dd9" 8578 59.26 2 8577 59.26 1
"3901abf6-2f66-4d02-9f76-510165283dd9" 15302 12019.66 297 15257 12019.66 296
"3901abf6-2f66-4d02-9f76-510165283dd9" 9323 13593.36 346 9322 13593.36 345
"3901abf6-2f66-4d02-9f76-510165283dd9" 8240 13593.36 347 9323 13593.36 346
"3901abf6-2f66-4d02-9f76-510165283dd9" 10535 13593.36 348 8240 13593.36 347
"3901abf6-2f66-4d02-9f76-510165283dd9" 8308 13875.04 351 1447 13875.04 350
"3901abf6-2f66-4d02-9f76-510165283dd9" 9294 13875.04 352 8308 13875.04 351
"3901abf6-2f66-4d02-9f76-510165283dd9" 9295 13875.04 353 9294 13875.04 352
"3901abf6-2f66-4d02-9f76-510165283dd9" 9296 13875.04 354 9295 13875.04 353
"3901abf6-2f66-4d02-9f76-510165283dd9" 22533 18493.69 470 22491 18493.69 469
"3c50c705-b89d-4f4b-a7bd-7f468988e494" 12449 13.48 2 12448 13.48 1
"3c50c705-b89d-4f4b-a7bd-7f468988e494" 10002 4175.81 135 16558 4175.81 134
"c93a2d54-389e-4705-9d4a-38ca0b4f6c27" 21333 9503.32 233 9868 9503.32 232
"c93a2d54-389e-4705-9d4a-38ca0b4f6c27" 15330 11223.51 291 15329 11223.51 290
"af7895db-24a3-4207-bab0-75e973f2c995" 3179 945.24 28 14258 945.24 27
"af7895db-24a3-4207-bab0-75e973f2c995" 21601 16729.63 364 2773 16729.63 363
"be7afa86-4f48-465f-8163-00140f1e734e" 21459 13.48 2 21458 13.48 1
"be7afa86-4f48-465f-8163-00140f1e734e" 607 7982.01 192 613 7982.01 191
"be7afa86-4f48-465f-8163-00140f1e734e" 2817 10032.84 239 21562 10032.84 238
"be7afa86-4f48-465f-8163-00140f1e734e" 12609 10635.42 251 5765 10635.42 250
"3bd73655-b6da-4bcf-9c5d-4b424975ddb3" 7768 4555.2 125 7767 4555.2 124
"3bd73655-b6da-4bcf-9c5d-4b424975ddb3" 9744 18987.17 427 8794 18987.17 426
"3bd73655-b6da-4bcf-9c5d-4b424975ddb3" 20723 22101.58 485 14901 22101.58 484
"3bd73655-b6da-4bcf-9c5d-4b424975ddb3" 3937 23176.54 502 13136 23176.54 501
"3032776e-de5b-4e2e-990b-e311fea240b5" 238 70.85 3 19343 70.85 2
"3032776e-de5b-4e2e-990b-e311fea240b5" 12718 6597.02 196 12717 6597.02 195
"3032776e-de5b-4e2e-990b-e311fea240b5" 12721 6719.52 199 12720 6719.52 198
"3032776e-de5b-4e2e-990b-e311fea240b5" 12722 6719.52 200 12721 6719.52 199
"3032776e-de5b-4e2e-990b-e311fea240b5" 6271 21488.44 616 6274 21488.44 615
"563013db-8f26-44a0-9423-dfab1e884102" 1861 7730.93 159 21290 7730.93 158
"563013db-8f26-44a0-9423-dfab1e884102" 14741 10845.34 217 5416 10845.34 216
"563013db-8f26-44a0-9423-dfab1e884102" 19198 11920.3 234 21751 11920.3 233
"8832d525-6347-4d23-8622-cc735134326a" 20794 6947.45 196 20793 6947.45 195
"dadcef18-2a2b-4cd5-8b30-fa0f935a5024" 19409 5390.84 158 19408 5390.84 157
"dadcef18-2a2b-4cd5-8b30-fa0f935a5024" 19410 5390.84 159 19409 5390.84 158
"dadcef18-2a2b-4cd5-8b30-fa0f935a5024" 21604 5390.84 160 19410 5390.84 159
"b7d31b08-7947-4958-b429-b85cf4483ed0" 10405 4768.66 101 10409 4768.66 100
"a5783dfb-bf56-41ec-b764-29d4943fe7dc" 20224 5177.1 154 20223 5177.1 153
"a5783dfb-bf56-41ec-b764-29d4943fe7dc" 20225 5177.1 155 20224 5177.1 154
"a5783dfb-bf56-41ec-b764-29d4943fe7dc" 20226 5177.1 156 20225 5177.1 155
"f9be5ba2-c83d-44d4-a411-6ae0f90779a4" 24626 70.85 3 24625 70.85 2
"f9be5ba2-c83d-44d4-a411-6ae0f90779a4" 15454 3560.14 71 21503 3560.14 70
"f9be5ba2-c83d-44d4-a411-6ae0f90779a4" 7911 6882.96 143 10026 6882.96 142
"f9be5ba2-c83d-44d4-a411-6ae0f90779a4" 6999 8456.66 192 6998 8456.66 191
"f9be5ba2-c83d-44d4-a411-6ae0f90779a4" 7699 8456.66 193 6999 8456.66 192
"f9be5ba2-c83d-44d4-a411-6ae0f90779a4" 8498 8456.66 194 7699 8456.66 193
"f9be5ba2-c83d-44d4-a411-6ae0f90779a4" 6862 8738.34 197 24113 8738.34 196
"f9be5ba2-c83d-44d4-a411-6ae0f90779a4" 7906 8738.34 198 6862 8738.34 197
"f9be5ba2-c83d-44d4-a411-6ae0f90779a4" 9386 8738.34 199 7906 8738.34 198
"f9be5ba2-c83d-44d4-a411-6ae0f90779a4" 9817 8738.34 200 9386 8738.34 199
fast_travel_between_consecutive_stops WARNING 13

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
1732 "d1e1a074-8408-4f1b-adac-5378b098f543" "3566" 872.7324313295228 0.2424256753693119 90355 306 "4726" "SUNGLOW BLVD @ MARKET WY EB" "08:12:20" 90356 321 "4641" "S WEST VILLAGES PKWY @ S TAMIAMI TRL NS" "08:12:21"
477 "11596283-c5b3-41a9-b077-85d36e491d6e" "3566" 872.7324313295228 0.2424256753693119 25038 306 "4726" "SUNGLOW BLVD @ MARKET WY EB" "14:14:09" 25039 321 "4641" "S WEST VILLAGES PKWY @ S TAMIAMI TRL NS" "14:14:10"
1733 "eb56e3fc-4c9d-4925-9ba0-9125e99d8798" "3566" 872.7324313295228 0.2424256753693119 90420 306 "4726" "SUNGLOW BLVD @ MARKET WY EB" "09:12:20" 90421 321 "4641" "S WEST VILLAGES PKWY @ S TAMIAMI TRL NS" "09:12:21"
1719 "4f72524e-9aa6-47a8-9edb-43ace19e07fd" "3566" 872.7324313295228 0.2424256753693119 89597 306 "4726" "SUNGLOW BLVD @ MARKET WY EB" "18:13:09" 89598 321 "4641" "S WEST VILLAGES PKWY @ S TAMIAMI TRL NS" "18:13:10"
1716 "e74e0df3-afd4-4dd2-9ec2-d77f449280fb" "3566" 872.7324313295228 0.2424256753693119 89402 306 "4726" "SUNGLOW BLVD @ MARKET WY EB" "13:13:20" 89403 321 "4641" "S WEST VILLAGES PKWY @ S TAMIAMI TRL NS" "13:13:21"
1717 "f08be382-7ab4-42be-8834-a0a093353f58" "3566" 872.7324313295228 0.2424256753693119 89467 306 "4726" "SUNGLOW BLVD @ MARKET WY EB" "16:14:09" 89468 321 "4641" "S WEST VILLAGES PKWY @ S TAMIAMI TRL NS" "16:14:10"
1720 "a649e40c-6570-4c82-a02f-59be742e649a" "3566" 872.7324313295228 0.2424256753693119 89662 306 "4726" "SUNGLOW BLVD @ MARKET WY EB" "19:13:09" 89663 321 "4641" "S WEST VILLAGES PKWY @ S TAMIAMI TRL NS" "19:13:10"
1715 "ded56d32-cf11-4376-b887-79e61206a6bf" "3566" 872.7324313295228 0.2424256753693119 89337 306 "4726" "SUNGLOW BLVD @ MARKET WY EB" "12:12:20" 89338 321 "4641" "S WEST VILLAGES PKWY @ S TAMIAMI TRL NS" "12:12:21"
1652 "333d426f-25d8-4a73-a9ce-768feffac27e" "3566" 872.7324313295228 0.2424256753693119 85455 306 "4726" "SUNGLOW BLVD @ MARKET WY EB" "11:12:20" 85456 321 "4641" "S WEST VILLAGES PKWY @ S TAMIAMI TRL NS" "11:12:21"
1731 "291064af-7fb7-49a1-b197-6cbb9e38bfd4" "3566" 872.7324313295228 0.2424256753693119 90290 306 "4726" "SUNGLOW BLVD @ MARKET WY EB" "07:12:20" 90291 321 "4641" "S WEST VILLAGES PKWY @ S TAMIAMI TRL NS" "07:12:21"
379 "7f6b7d51-1477-4954-9ca5-7feade0cdcf3" "3566" 872.7324313295228 0.2424256753693119 20626 306 "4726" "SUNGLOW BLVD @ MARKET WY EB" "15:14:09" 20627 321 "4641" "S WEST VILLAGES PKWY @ S TAMIAMI TRL NS" "15:14:10"
1718 "446c611a-9b1d-4b9a-91de-23d1a9c0f7e8" "3566" 872.7324313295228 0.2424256753693119 89532 306 "4726" "SUNGLOW BLVD @ MARKET WY EB" "17:14:09" 89533 321 "4641" "S WEST VILLAGES PKWY @ S TAMIAMI TRL NS" "17:14:10"
1651 "e6e579b3-e5e9-4c9e-b18f-d3346e35ea96" "3566" 872.7324313295228 0.2424256753693119 85390 306 "4726" "SUNGLOW BLVD @ MARKET WY EB" "10:12:20" 85391 321 "4641" "S WEST VILLAGES PKWY @ S TAMIAMI TRL NS" "10:12:21"
mixed_case_recommended_field WARNING 3359

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 3359 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" "12-CENTRE AT UNIVERSITY PARKWAY" 2
"trips.txt" "trip_headsign" "12-CENTRE AT UNIVERSITY PARKWAY" 3
"trips.txt" "trip_headsign" "12-CENTRE AT UNIVERSITY PARKWAY" 4
"trips.txt" "trip_headsign" "76-SRQ AIRPORT" 5
"trips.txt" "trip_headsign" "17-DOWNTOWN STATION" 6
"trips.txt" "trip_headsign" "17-DOWNTOWN STATION" 7
"trips.txt" "trip_headsign" "17-DOWNTOWN STATION" 8
"trips.txt" "trip_headsign" "17-DOWNTOWN STATION" 9
"trips.txt" "trip_headsign" "12-CENTRE AT UNIVERSITY PARKWAY" 10
"trips.txt" "trip_headsign" "17-DOWNTOWN STATION" 11
"trips.txt" "trip_headsign" "17-DOWNTOWN STATION" 12
"trips.txt" "trip_headsign" "17-DOWNTOWN STATION" 13
"trips.txt" "trip_headsign" "17-DOWNTOWN STATION" 14
"trips.txt" "trip_headsign" "17-DOWNTOWN STATION" 15
"trips.txt" "trip_headsign" "17-DOWNTOWN STATION" 16
"trips.txt" "trip_headsign" "01-DOWNTOWN STATION" 17
"trips.txt" "trip_headsign" "01-DOWNTOWN STATION" 18
"trips.txt" "trip_headsign" "07-KENSINGTON PARK" 19
"trips.txt" "trip_headsign" "17-VENICE TRAIN DEPOT" 20
"trips.txt" "trip_headsign" "76-SRQ AIRPORT" 21
"trips.txt" "trip_headsign" "01-CATTLEMEN STATION" 22
"trips.txt" "trip_headsign" "99-BRADENTON STATION" 23
"trips.txt" "trip_headsign" "17-DOWNTOWN STATION" 24
"trips.txt" "trip_headsign" "17-DOWNTOWN STATION" 25
"trips.txt" "trip_headsign" "08-DOWNTOWN STATION" 26
"trips.txt" "trip_headsign" "08-DOWNTOWN STATION" 27
"trips.txt" "trip_headsign" "08-DOWNTOWN STATION" 28
"trips.txt" "trip_headsign" "08-DOWNTOWN STATION" 29
"trips.txt" "trip_headsign" "08-DOWNTOWN STATION" 30
"trips.txt" "trip_headsign" "76-SRQ AIRPORT" 31
"trips.txt" "trip_headsign" "76-SRQ AIRPORT" 32
"trips.txt" "trip_headsign" "76-SRQ AIRPORT" 33
"trips.txt" "trip_headsign" "12-DOWNTOWN STATION" 34
"trips.txt" "trip_headsign" "12-DOWNTOWN STATION" 35
"trips.txt" "trip_headsign" "12-DOWNTOWN STATION" 36
"trips.txt" "trip_headsign" "17-VENICE TRAIN DEPOT" 37
"trips.txt" "trip_headsign" "99-DOWNTOWN SARASOTA STATION" 38
"trips.txt" "trip_headsign" "99-BRADENTON STATION" 39
"trips.txt" "trip_headsign" "09-NORTH PORT CITY HALL" 40
"trips.txt" "trip_headsign" "12-CENTRE AT UNIVERSITY PARKWAY" 41
"trips.txt" "trip_headsign" "17-VENICE TRAIN DEPOT" 42
"trips.txt" "trip_headsign" "08-DOWNTOWN STATION" 43
"trips.txt" "trip_headsign" "08-DOWNTOWN STATION" 44
"trips.txt" "trip_headsign" "08-DOWNTOWN STATION" 45
"trips.txt" "trip_headsign" "17-VENICE TRAIN DEPOT" 46
"trips.txt" "trip_headsign" "25-SIESTA KEY MALL" 47
"trips.txt" "trip_headsign" "03-COUNTY OPERATIONS" 48
"trips.txt" "trip_headsign" "03-COUNTY OPERATIONS" 49
"trips.txt" "trip_headsign" "03-COUNTY OPERATIONS" 50
"trips.txt" "trip_headsign" "03-COUNTY OPERATIONS" 51
route_color_contrast WARNING 2

route_color_contrast

Insufficient route color contrast.

A route's color and route_text_color should be contrasting.

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeColor (?) The faulty record's HTML route color. routeTextColor (?) The faulty record's HTML route text color.
"78" 17 "#000099" "#000000"
"77" 18 "#0033CC" "#000000"
route_long_name_contains_short_name WARNING 1

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`.
"3573" 3 "76" "76 Flyer"
same_name_and_description_for_route WARNING 16

same_name_and_description_for_route

Same name and description for route.

The GTFS spec defines routes.txt route_desc as:

Description of a route that provides useful, quality information. Do not simply duplicate the name of the route.

See the GTFS and GTFS Best Practices links below for more examples of how to populate the route_short_name, route_long_name, and route_desc fields.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. routeId (?) The id of the faulty record. routeDesc (?) The `routes.routes_desc` of the faulty record. specifiedField (?) Either `route_short_name` or `route_long_name`.
2 "3571" "Southgate/Swift/Gulf Gate" "route_long_name"
3 "3573" "76 Flyer" "route_long_name"
4 "3576" "Sarasota/SRQ/Bradenton" "route_long_name"
5 "3564" "Downtown/N Orange/Newtown/NE Plaza" "route_long_name"
6 "3568" "Downtown/Southgate/Bee Ridge" "route_long_name"
7 "3562" "Downtown/Bahia Vista/Cattlemen" "route_long_name"
8 "3561" "Downtown/SRQ/UTC Mall" "route_long_name"
9 "3565" "Downtown/N Orange/US 301/SRQ" "route_long_name"
10 "3566" "Venice/North Port" "route_long_name"
11 "3567" "Downtown/N Lockwood/University" "route_long_name"
12 "3570" "Gulf Gate/Cattlemen" "route_long_name"
13 "3563" "Downtown/Beneva/Gulf Gate" "route_long_name"
14 "3572" "Siesta Key/Pinecraft/Cattlemen" "route_long_name"
15 "3560" "Downtown/Fruitville/Cattlemen" "route_long_name"
16 "3569" "Sarasota/US-41/Venice" "route_long_name"
17 "78" "Bay Runner" "route_long_name"