GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T17:07:33Z,
for the dataset file:///shared/sioux-area-metro.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
ETA Transit Systems
Publisher URL:
https://etatransit.com
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2024-09-15
Feed End Date:
2026-11-25

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. fare_attributes.txt
  5. fare_rules.txt
  6. feed_info.txt
  7. frequencies.txt
  8. routes.txt
  9. shapes.txt
  10. stop_times.txt
  11. stops.txt
  12. transfers.txt
  13. trips.txt

Counts

  • Agencies: 1
  • Blocks: 29
  • Routes: 9
  • Shapes: 18
  • Stops: 289
  • Trips: 414

Specification Compliance report

919 notices reported (0 errors, 916 warnings, 3 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 200

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.

Only the first 50 of 200 affected records are displayed below.

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.
337 "Fall_2024-Sa-fc6b7f07-A-IB-1125-cbd2751" "fc6b7f07" 158.7271326915652 0.44090870192101445 6381 17 "767578" "12th/Elmwood SW" "11:45:00" 6382 18 "767285" "12th/Western SE" "11:45:10"
286 "Fall_2024-Weekday-fc6b7f07-A-OB-1830-048d068" "fc6b7f07" 192.7135152308821 0.5353153200857836 5224 14 "4311730" "Marion/ W 14th NW" "18:41:30" 5225 15 "286" "Marion & Dardenaella NW" "18:41:40"
286 "Fall_2024-Weekday-fc6b7f07-A-OB-1830-048d068" "fc6b7f07" 603.9742817437237 1.0066238029062062 5228 18 "4311702" "26th/Lorraine SE (Lowe's)" "18:45:00" 5229 19 "4211587" "Louise/Shirley SW (USPS)" "18:45:06"
286 "Fall_2024-Weekday-fc6b7f07-A-OB-1830-048d068" "fc6b7f07" 232.22366156623085 0.3870394359437181 5229 19 "4211587" "Louise/Shirley SW (USPS)" "18:45:06" 5230 20 "4211588" "Louise/34th NW" "18:45:12"
281 "Fall_2024-Weekday-fc6b7f07-A-OB-1230-8f3b2c6" "fc6b7f07" 192.7135152308821 0.5353153200857836 5104 14 "4311730" "Marion/ W 14th NW" "12:41:30" 5105 15 "286" "Marion & Dardenaella NW" "12:41:40"
281 "Fall_2024-Weekday-fc6b7f07-A-OB-1230-8f3b2c6" "fc6b7f07" 603.9742817437237 1.0066238029062062 5108 18 "4311702" "26th/Lorraine SE (Lowe's)" "12:45:00" 5109 19 "4211587" "Louise/Shirley SW (USPS)" "12:45:06"
281 "Fall_2024-Weekday-fc6b7f07-A-OB-1230-8f3b2c6" "fc6b7f07" 232.22366156623085 0.3870394359437181 5109 19 "4211587" "Louise/Shirley SW (USPS)" "12:45:06" 5110 20 "4211588" "Louise/34th NW" "12:45:12"
399 "Fall_2024-Weekday-5915bbec-A-OB-1000-ef7eeff" "5915bbec" 211.7560796774456 0.5882113324373489 7538 7 "767443" "Weber E (Smithfield)" "10:07:00" 7539 8 "767444" "Rice/Cliff SW" "10:07:10"
399 "Fall_2024-Weekday-5915bbec-A-OB-1000-ef7eeff" "5915bbec" 151.8238250549892 0.4217328473749699 7540 9 "767445" "Rice/Wayland SW" "10:08:00" 7541 10 "767446" "Rice/Jessica SW" "10:08:10"
298 "Fall_2024-Sa-fc6b7f07-A-OB-0800-052ece9" "fc6b7f07" 192.7135152308821 0.5353153200857836 5512 14 "4311730" "Marion/ W 14th NW" "08:11:30" 5513 15 "286" "Marion & Dardenaella NW" "08:11:40"
268 "Fall_2024-Weekday-fc6b7f07-A-OB-0800-b43fd87" "fc6b7f07" 192.7135152308821 0.5353153200857836 4792 14 "4311730" "Marion/ W 14th NW" "08:11:30" 4793 15 "286" "Marion & Dardenaella NW" "08:11:40"
298 "Fall_2024-Sa-fc6b7f07-A-OB-0800-052ece9" "fc6b7f07" 603.9742817437237 1.0066238029062062 5516 18 "4311702" "26th/Lorraine SE (Lowe's)" "08:15:00" 5517 19 "4211587" "Louise/Shirley SW (USPS)" "08:15:06"
268 "Fall_2024-Weekday-fc6b7f07-A-OB-0800-b43fd87" "fc6b7f07" 603.9742817437237 1.0066238029062062 4796 18 "4311702" "26th/Lorraine SE (Lowe's)" "08:15:00" 4797 19 "4211587" "Louise/Shirley SW (USPS)" "08:15:06"
298 "Fall_2024-Sa-fc6b7f07-A-OB-0800-052ece9" "fc6b7f07" 232.22366156623085 0.3870394359437181 5517 19 "4211587" "Louise/Shirley SW (USPS)" "08:15:06" 5518 20 "4211588" "Louise/34th NW" "08:15:12"
268 "Fall_2024-Weekday-fc6b7f07-A-OB-0800-b43fd87" "fc6b7f07" 232.22366156623085 0.3870394359437181 4797 19 "4211587" "Louise/Shirley SW (USPS)" "08:15:06" 4798 20 "4211588" "Louise/34th NW" "08:15:12"
329 "Fall_2024-Weekday-fc6b7f07-A-IB-1456-01a87fa" "fc6b7f07" 158.7271326915652 0.44090870192101445 6205 17 "767578" "12th/Elmwood SW" "15:14:50" 6206 18 "767285" "12th/Western SE" "15:15:00"
259 "Fall_2024-Sa-57f73028-A-IB-1428-2deb22f" "57f73028" 213.9496557797353 0.2971522996940768 4574 7 "767350" "41st/Westport SW" "14:34:50" 4575 8 "767351" "41st/ Olive Garden" "14:34:55"
259 "Fall_2024-Sa-57f73028-A-IB-1428-2deb22f" "57f73028" 200.2178973355575 0.27808041296605207 4575 8 "767351" "41st/ Olive Garden" "14:34:55" 4576 9 "767352" "41st/Kiwanis SW" "14:35:00"
51 "Fall_2024-Weekday-5915bbec-A-OB-1300-9477ed5" "5915bbec" 211.7560796774456 0.5882113324373489 912 7 "767443" "Weber E (Smithfield)" "13:07:00" 913 8 "767444" "Rice/Cliff SW" "13:07:10"
51 "Fall_2024-Weekday-5915bbec-A-OB-1300-9477ed5" "5915bbec" 151.8238250549892 0.4217328473749699 914 9 "767445" "Rice/Wayland SW" "13:08:00" 915 10 "767446" "Rice/Jessica SW" "13:08:10"
254 "Fall_2024-Sa-57f73028-A-IB-1128-bf64402" "57f73028" 213.9496557797353 0.2971522996940768 4459 7 "767350" "41st/Westport SW" "11:34:50" 4460 8 "767351" "41st/ Olive Garden" "11:34:55"
254 "Fall_2024-Sa-57f73028-A-IB-1128-bf64402" "57f73028" 200.2178973355575 0.27808041296605207 4460 8 "767351" "41st/ Olive Garden" "11:34:55" 4461 9 "767352" "41st/Kiwanis SW" "11:35:00"
391 "Fall_2024-Weekday-5915bbec-A-OB-1800-0ca5fe9" "5915bbec" 211.7560796774456 0.5882113324373489 7386 7 "767443" "Weber E (Smithfield)" "18:07:00" 7387 8 "767444" "Rice/Cliff SW" "18:07:10"
391 "Fall_2024-Weekday-5915bbec-A-OB-1800-0ca5fe9" "5915bbec" 151.8238250549892 0.4217328473749699 7388 9 "767445" "Rice/Wayland SW" "18:08:00" 7389 10 "767446" "Rice/Jessica SW" "18:08:10"
412 "Fall_2024-Weekday-5915bbec-A-OB-1400-d76b77d" "5915bbec" 211.7560796774456 0.5882113324373489 7753 7 "767443" "Weber E (Smithfield)" "14:07:00" 7754 8 "767444" "Rice/Cliff SW" "14:07:10"
412 "Fall_2024-Weekday-5915bbec-A-OB-1400-d76b77d" "5915bbec" 151.8238250549892 0.4217328473749699 7755 9 "767445" "Rice/Wayland SW" "14:08:00" 7756 10 "767446" "Rice/Jessica SW" "14:08:10"
317 "Fall_2024-Weekday-fc6b7f07-A-IB-1726-f1c5e91" "fc6b7f07" 158.7271326915652 0.44090870192101445 5941 17 "767578" "12th/Elmwood SW" "17:44:50" 5942 18 "767285" "12th/Western SE" "17:45:00"
301 "Fall_2024-Sa-fc6b7f07-A-OB-1700-e011cab" "fc6b7f07" 192.7135152308821 0.5353153200857836 5584 14 "4311730" "Marion/ W 14th NW" "17:11:30" 5585 15 "286" "Marion & Dardenaella NW" "17:11:40"
279 "Fall_2024-Weekday-fc6b7f07-A-OB-1700-af7de01" "fc6b7f07" 192.7135152308821 0.5353153200857836 5056 14 "4311730" "Marion/ W 14th NW" "17:11:30" 5057 15 "286" "Marion & Dardenaella NW" "17:11:40"
301 "Fall_2024-Sa-fc6b7f07-A-OB-1700-e011cab" "fc6b7f07" 603.9742817437237 1.0066238029062062 5588 18 "4311702" "26th/Lorraine SE (Lowe's)" "17:15:00" 5589 19 "4211587" "Louise/Shirley SW (USPS)" "17:15:06"
279 "Fall_2024-Weekday-fc6b7f07-A-OB-1700-af7de01" "fc6b7f07" 603.9742817437237 1.0066238029062062 5060 18 "4311702" "26th/Lorraine SE (Lowe's)" "17:15:00" 5061 19 "4211587" "Louise/Shirley SW (USPS)" "17:15:06"
301 "Fall_2024-Sa-fc6b7f07-A-OB-1700-e011cab" "fc6b7f07" 232.22366156623085 0.3870394359437181 5589 19 "4211587" "Louise/Shirley SW (USPS)" "17:15:06" 5590 20 "4211588" "Louise/34th NW" "17:15:12"
279 "Fall_2024-Weekday-fc6b7f07-A-OB-1700-af7de01" "fc6b7f07" 232.22366156623085 0.3870394359437181 5061 19 "4211587" "Louise/Shirley SW (USPS)" "17:15:06" 5062 20 "4211588" "Louise/34th NW" "17:15:12"
295 "Fall_2024-Sa-fc6b7f07-A-OB-1000-864004a" "fc6b7f07" 192.7135152308821 0.5353153200857836 5440 14 "4311730" "Marion/ W 14th NW" "10:11:30" 5441 15 "286" "Marion & Dardenaella NW" "10:11:40"
265 "Fall_2024-Weekday-fc6b7f07-A-OB-1000-1dcca11" "fc6b7f07" 192.7135152308821 0.5353153200857836 4720 14 "4311730" "Marion/ W 14th NW" "10:11:30" 4721 15 "286" "Marion & Dardenaella NW" "10:11:40"
295 "Fall_2024-Sa-fc6b7f07-A-OB-1000-864004a" "fc6b7f07" 603.9742817437237 1.0066238029062062 5444 18 "4311702" "26th/Lorraine SE (Lowe's)" "10:15:00" 5445 19 "4211587" "Louise/Shirley SW (USPS)" "10:15:06"
265 "Fall_2024-Weekday-fc6b7f07-A-OB-1000-1dcca11" "fc6b7f07" 603.9742817437237 1.0066238029062062 4724 18 "4311702" "26th/Lorraine SE (Lowe's)" "10:15:00" 4725 19 "4211587" "Louise/Shirley SW (USPS)" "10:15:06"
295 "Fall_2024-Sa-fc6b7f07-A-OB-1000-864004a" "fc6b7f07" 232.22366156623085 0.3870394359437181 5445 19 "4211587" "Louise/Shirley SW (USPS)" "10:15:06" 5446 20 "4211588" "Louise/34th NW" "10:15:12"
265 "Fall_2024-Weekday-fc6b7f07-A-OB-1000-1dcca11" "fc6b7f07" 232.22366156623085 0.3870394359437181 4725 19 "4211587" "Louise/Shirley SW (USPS)" "10:15:06" 4726 20 "4211588" "Louise/34th NW" "10:15:12"
271 "Fall_2024-Weekday-fc6b7f07-A-OB-1800-c2d7156" "fc6b7f07" 192.7135152308821 0.5353153200857836 4864 14 "4311730" "Marion/ W 14th NW" "18:11:30" 4865 15 "286" "Marion & Dardenaella NW" "18:11:40"
271 "Fall_2024-Weekday-fc6b7f07-A-OB-1800-c2d7156" "fc6b7f07" 603.9742817437237 1.0066238029062062 4868 18 "4311702" "26th/Lorraine SE (Lowe's)" "18:15:00" 4869 19 "4211587" "Louise/Shirley SW (USPS)" "18:15:06"
271 "Fall_2024-Weekday-fc6b7f07-A-OB-1800-c2d7156" "fc6b7f07" 232.22366156623085 0.3870394359437181 4869 19 "4211587" "Louise/Shirley SW (USPS)" "18:15:06" 4870 20 "4211588" "Louise/34th NW" "18:15:12"
272 "Fall_2024-Weekday-fc6b7f07-A-OB-1730-4e5bd01" "fc6b7f07" 192.7135152308821 0.5353153200857836 4888 14 "4311730" "Marion/ W 14th NW" "17:41:30" 4889 15 "286" "Marion & Dardenaella NW" "17:41:40"
272 "Fall_2024-Weekday-fc6b7f07-A-OB-1730-4e5bd01" "fc6b7f07" 603.9742817437237 1.0066238029062062 4892 18 "4311702" "26th/Lorraine SE (Lowe's)" "17:45:00" 4893 19 "4211587" "Louise/Shirley SW (USPS)" "17:45:06"
272 "Fall_2024-Weekday-fc6b7f07-A-OB-1730-4e5bd01" "fc6b7f07" 232.22366156623085 0.3870394359437181 4893 19 "4211587" "Louise/Shirley SW (USPS)" "17:45:06" 4894 20 "4211588" "Louise/34th NW" "17:45:12"
339 "Fall_2024-Sa-fc6b7f07-A-IB-1725-feef38c" "fc6b7f07" 158.7271326915652 0.44090870192101445 6425 17 "767578" "12th/Elmwood SW" "17:45:00" 6426 18 "767285" "12th/Western SE" "17:45:10"
318 "Fall_2024-Weekday-fc6b7f07-A-IB-0726-ad68ca9" "fc6b7f07" 158.7271326915652 0.44090870192101445 5963 17 "767578" "12th/Elmwood SW" "07:44:50" 5964 18 "767285" "12th/Western SE" "07:45:00"
323 "Fall_2024-Weekday-fc6b7f07-A-IB-1656-585b8a4" "fc6b7f07" 158.7271326915652 0.44090870192101445 6073 17 "767578" "12th/Elmwood SW" "17:14:50" 6074 18 "767285" "12th/Western SE" "17:15:00"
307 "Fall_2024-Weekday-fc6b7f07-A-IB-0956-19d581a" "fc6b7f07" 158.7271326915652 0.44090870192101445 5721 17 "767578" "12th/Elmwood SW" "10:14:50" 5722 18 "767285" "12th/Western SE" "10:15:00"
325 "Fall_2024-Weekday-fc6b7f07-A-IB-1356-775cc90" "fc6b7f07" 158.7271326915652 0.44090870192101445 6117 17 "767578" "12th/Elmwood SW" "14:14:50" 6118 18 "767285" "12th/Western SE" "14:15:00"
leading_or_trailing_whitespaces WARNING 700

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

Only the first 50 of 700 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"stop_times.txt" 83 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 84 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 85 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 86 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 87 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 88 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 89 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 90 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 91 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 92 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 93 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 94 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 95 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 96 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 97 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 98 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 99 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 100 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 101 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 102 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 103 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 104 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 105 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 106 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 107 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 108 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 109 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 110 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 111 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 112 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 113 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 114 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 115 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 116 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 117 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 276 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 277 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 278 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 279 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 280 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 281 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 282 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 283 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 284 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 285 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 286 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 287 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 288 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 289 "stop_headsign" " YL E 26th Street Walmart East"
"stop_times.txt" 290 "stop_headsign" " YL E 26th Street Walmart East"
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
mixed_case_recommended_field WARNING 2

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.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"stops.txt" "stop_name" "41st/800 address (mid-block)" 4
"stops.txt" "stop_name" "41st/800 address" 281
route_long_name_contains_short_name WARNING 6

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`.
"16def091" 2 "Green" "Green N Minnesota, Premier Center, Southeast Tech"
"57f73028" 4 "Blue" "Blue S Minnesota Ave, W 41St, Empire Mall"
"b5459b45" 6 "Red" "Red E 10th St, East Walmart, One Stop"
"d2853ed2" 8 "Pink" "Pink S Cliff Ave, Avera Medical, Lincoln High Sch"
"d92a278e" 9 "Black" "Black N Cliff Ave"
"fc6b7f07" 10 "Gray" "Gray W 12th, Louise, Southwest Center"
stop_without_stop_time WARNING 7

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
2 "767291" "10th/Main SW"
3 "767404" "41st/Cliff NW (mid-block)"
5 "289" "41st & Kiwanis NE"
17 "767425" "Madison/ West NW (Canaries Stadium)"
251 "767541" "12th /Westport NW (mid-block)"
281 "290" "41st/800 address"
288 "292" "Arrowhead and Gordon"
unknown_column INFO 3

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"calendar.txt" "service_name" 11
"trips.txt" "block_service_id" 11
"trips.txt" "block_name" 12