tranzalpinerailway-abeltasm — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-10T00:53:36Z,
for the dataset file:///shared/tranzalpinerailway-abeltasm_a7ef9f62.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included


Feed Info


Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Language:
English
Feed Start Date:
2019-01-01
Feed End Date:
2020-04-28

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: 17
  • Blocks: 0
  • Routes: 78
  • Shapes: 1
  • Stops: 633
  • Trips: 229

Specification Compliance report

210 notices reported (0 errors, 210 warnings, 0 infos)

Notice Code Severity Total
duplicate_route_name WARNING 13

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
4 "102269-2047" 5 "102269-2048" "" "Auckland - Central - Rotorua" 3 "102269-SK"
9 "102269-3101" 11 "102269-3110" "" "Hamilton - Central - Mount Maunganui (Tauranga)" 3 "102269-IC"
17 "102269-6331" 18 "102269-6332" "" "Thames - Whitianga" 3 "102269-IC"
17 "102269-6331" 19 "102269-6344" "" "Thames - Whitianga" 3 "102269-IC"
17 "102269-6331" 20 "102269-6345" "" "Thames - Whitianga" 3 "102269-IC"
29 "102269-6501" 30 "102269-6513" "" "Auckland - Central - Wellington - Central" 3 "102269-IC"
36 "102269-6807" 38 "102269-6819" "" "Wellington - Central - New Plymouth" 3 "102269-IC"
46 "102269-7640" 47 "102269-7641" "" "Auckland - Central - Paihia (Bay of Islands)" 3 "102269-GS"
61 "102269-8616" 62 "102269-8619" "" "Christchurch - Hanmer Springs" 3 "102269-HC"
63 "102269-8701" 64 "102269-8702" "" "Picton - Nelson" 3 "102269-IC"
66 "102269-8825" 67 "102269-8826" "" "Nelson - Greymouth" 3 "102269-IC"
68 "102269-8832" 69 "102269-8833" "" "Queenstown - Wanaka" 3 "102269-IC"
74 "102269-9661" 75 "102269-9662" "" "Queenstown - Christchurch" 3 "102269-GS"
expired_calendar WARNING 110

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.

Only the first 50 of 110 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "102269-16000"
3 "102269-20000"
4 "102269-22504"
5 "102269-23891"
6 "102269-24129"
7 "102269-24402"
8 "102269-25735"
9 "102269-25779"
10 "102269-26080"
11 "102269-26162"
12 "102269-26237"
13 "102269-26818"
14 "102269-26832"
15 "102269-26833"
16 "102269-27742"
17 "102269-27894"
18 "102269-28110"
19 "102269-28112"
20 "102269-28152"
21 "102269-28153"
22 "102269-28154"
23 "102269-28187"
24 "102269-28188"
25 "102269-28217"
26 "102269-28337"
27 "102269-28535"
28 "102269-28553"
29 "102269-28554"
30 "102269-28582"
31 "102269-28595"
32 "102269-28669"
33 "102269-28706"
34 "102269-28729"
35 "102269-28732"
36 "102269-28733"
37 "102269-28759"
38 "102269-28760"
39 "102269-28815"
40 "102269-28816"
41 "102269-28818"
42 "102269-28855"
43 "102269-28987"
44 "102269-28990"
45 "102269-29002"
46 "102269-29005"
47 "102269-29006"
48 "102269-29008"
49 "102269-29009"
50 "102269-29012"
51 "102269-29021"
fast_travel_between_consecutive_stops WARNING 55

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 55 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.
184 "102269-29351" "102269-6404" 157.74009507441696 13.145007922868079 2352 17 "102269-URN-6411" "Urenui" "13:15:00" 2353 18 "102269-WAT" "Waitara" "13:19:00"
185 "102269-29352" "102269-6404" 157.74009507441696 13.145007922868079 2375 18 "102269-URN-6411" "Urenui" "19:45:00" 2376 19 "102269-WAT" "Waitara" "19:49:00"
176 "102269-29338" "102269-6211" 248.5466800637984 12.42733400318992 2158 21 "102269-NON" "Ngongotaha" "13:33:00" 2159 22 "102269-MMK" "Mamaku" "13:35:00"
18 "102269-26237" "102269-8110" 156.73233115484666 13.061027596237222 212 22 "102269-MKK-8127" "Makikihi" "20:50:00" 213 23 "102269-WET" "Waimate Turn Off" "20:54:00"
187 "102269-29354" "102269-6101" 246.89678724040087 12.344839362020045 2412 5 "102269-TEH" "Te Hana" "19:22:00" 2413 6 "102269-KWK-6108" "Kaiwaka" "19:24:00"
187 "102269-29354" "102269-6101" 160.73954595116447 8.036977297558224 2419 12 "102269-KAM-6108" "Kamo" "20:30:00" 2420 13 "102269-HKR-6108" "Hikurangi" "20:32:00"
187 "102269-29354" "102269-6101" 381.3142655131825 12.710475517106083 2420 13 "102269-HKR-6108" "Hikurangi" "20:33:00" 2421 14 "102269-HUK" "Hukerenui" "20:34:00"
179 "102269-29342" "102269-6407" 172.72835033429243 14.39402919452437 2255 4 "102269-MTN" "Marton" "10:40:00" 2256 5 "102269-TRK-6412" "Turakina" "10:44:00"
179 "102269-29342" "102269-6407" 167.3798295688057 13.94831913073381 2265 14 "102269-RRM" "Raurimu" "13:25:00" 2266 15 "102269-OWH" "Owhango" "13:29:00"
179 "102269-29342" "102269-6407" 181.05090121052788 15.087575100877324 2276 25 "102269-OHA" "Otorohanga" "16:10:00" 2277 26 "102269-TKX" "Te Kawa Crossroads" "16:14:00"
155 "102269-29204" "102269-8900" 223.37726246471018 18.61477187205918 1728 7 "102269-LMS-8900" "Lumsden" "08:50:00" 1729 8 "102269-DIP" "Dipton" "08:54:00"
103 "102269-28990" "102269-2048" 170.42530976649314 28.40421829441552 1126 11 "102269-TOI" "Te Poi" "11:20:00" 1127 12 "102269-MMK" "Mamaku" "11:29:00"
76 "102269-28706" "102269-6602" 221.53480429175872 18.461233690979892 768 13 "102269-OKK" "Orakei Korako Turn off" "10:35:00" 769 14 "102269-ATI" "Atiamuri" "10:39:00"
100 "102269-28987" "102269-7701" 205.0675212136651 13.671168080911006 1052 26 "102269-MSY-6503" "Massey University (Palmerston Nth)" "14:35:00" 1053 27 "102269-TKM" "Tokomaru" "14:38:00"
64 "102269-28549" "102269-8109" 151.5526498468461 12.629387487237176 606 0 "102269-GOR" "Gore" "09:50:00" 607 1 "102269-MAT-8103" "Mataura" "09:54:00"
64 "102269-28549" "102269-8109" 166.07199515634824 13.839332929695686 608 2 "102269-EDN-8103" "Edendale" "10:05:00" 609 3 "102269-DCR" "Dacre" "10:09:00"
147 "102269-29155" "102269-6807" 189.72876653075235 6.324292217691745 1609 15 "102269-MAX" "Maxwell" "10:18:00" 1610 16 "102269-KAI" "Kai Iwi" "10:19:00"
114 "102269-29012" "102269-8707" 354.60036223498133 5.910006037249689 1341 6 "102269-LTF" "Leithfield" "14:40:00" 1342 7 "102269-AMB-8707" "Amberley" "14:40:00"
12 "102269-25735" "102269-8110" 261.2205519247444 13.061027596237222 112 11 "102269-WET" "Waimate Turn Off" "19:30:00" 113 12 "102269-MKK-8110" "Makikihi" "19:32:00"
11 "102269-24507" "102269-6819" 189.72876653075235 6.324292217691745 79 14 "102269-MAX" "Maxwell" "15:53:00" 80 15 "102269-KAI" "Kai Iwi" "15:54:00"
11 "102269-24507" "102269-6819" 176.62366591050923 5.887455530350308 85 20 "102269-BLS" "Bulls" "17:05:00" 86 21 "102269-SAN-6407" "Sanson" "17:06:00"
11 "102269-24507" "102269-6819" 164.05401697093205 13.671168080911006 88 23 "102269-MSY-6503" "Massey University (Palmerston Nth)" "18:25:00" 89 24 "102269-TKM" "Tokomaru" "18:29:00"
156 "102269-29207" "102269-8707" 383.00179865948917 6.383363310991486 1737 4 "102269-KPI" "Kaiapoi" "07:30:00" 1738 5 "102269-WDD-8619" "Woodend" "07:30:00"
156 "102269-29207" "102269-8707" 177.30018111749067 5.910006037249689 1740 7 "102269-LTF" "Leithfield" "07:45:00" 1741 8 "102269-AMB-8707" "Amberley" "07:46:00"
221 "102269-29481" "102269-6501" 233.9315568453702 19.49429640378085 2800 26 "102269-HVL-6501" "Hunterville" "17:25:00" 2801 27 "102269-MVW" "Mt View" "17:29:00"
148 "102269-29156" "102269-6808" 189.72876653075235 6.324292217691745 1646 15 "102269-MAX" "Maxwell" "10:18:00" 1647 16 "102269-KAI" "Kai Iwi" "10:19:00"
71 "102269-28595" "102269-6819" 164.05401697093205 13.671168080911006 703 24 "102269-MSY-6503" "Massey University (Palmerston Nth)" "20:00:00" 704 25 "102269-TKM" "Tokomaru" "20:04:00"
172 "102269-29324" "102269-6364" 271.6662176268227 9.055540587560756 2028 3 "102269-MKE" "Manutuke" "09:15:00" 2029 4 "102269-MRW" "Muriwai" "09:16:00"
172 "102269-29324" "102269-6364" 173.2815915173464 5.776053050578214 2038 13 "102269-TIO" "Tangoio" "12:30:00" 2039 14 "102269-WKI" "Whirinaki (Hawkes Bay)" "12:31:00"
172 "102269-29324" "102269-6364" 162.39250205463247 5.4130834018210825 2039 14 "102269-WKI" "Whirinaki (Hawkes Bay)" "12:35:00" 2040 15 "102269-BVW-6367" "Bayview" "12:36:00"
20 "102269-26832" "102269-2048" 195.4073983343907 6.51357994447969 267 5 "102269-TPR" "Taupiri" "17:18:00" 268 6 "102269-NGA-6211" "Ngaruawahia" "17:19:00"
20 "102269-26832" "102269-2048" 165.0896250051548 13.757468750429569 270 8 "102269-HLC-6501" "Hillcrest (Hamilton)" "17:55:00" 271 9 "102269-SPC" "St Peters School (Cambridge)" "17:59:00"
98 "102269-28976" "102269-7330" 181.83375699700719 9.09168784985036 1009 9 "102269-TPA" "Taipa" "13:40:00" 1010 10 "102269-INL" "Lake Ohia" "13:42:00"
15 "102269-26080" "102269-6606" 179.50187060042634 14.958489216702194 169 14 "102269-IWT" "Iwitahi" "13:20:00" 170 15 "102269-RGT" "Rangitaiki" "13:24:00"
15 "102269-26080" "102269-6606" 234.51540794245423 19.542950661871185 170 15 "102269-RGT" "Rangitaiki" "13:25:00" 171 16 "102269-TRW-6609" "Tarawera" "13:29:00"
15 "102269-26080" "102269-6606" 256.5272862900599 21.377273857504992 174 19 "102269-TPH" "Te Pohue" "14:45:00" 175 20 "102269-ESK" "Eskdale" "14:49:00"
117 "102269-29057" "102269-6606" 154.6804611122622 25.7800768520437 1395 12 "102269-WRK" "Wairakei" "16:10:00" 1396 13 "102269-GSP" "Golden Springs" "16:19:00"
105 "102269-28997" "102269-6101" 150.25028387346902 12.520856989455751 1154 13 "102269-OAK-6108" "Oakleigh" "10:15:00" 1155 14 "102269-WRE" "Whangarei" "10:19:00"
19 "102269-26818" "102269-6808" 172.72835033429243 14.39402919452437 240 15 "102269-MTN" "Marton" "13:45:00" 241 16 "102269-TRK-6412" "Turakina" "13:49:00"
19 "102269-26818" "102269-6808" 173.67216629420923 14.472680524517436 244 19 "102269-WAG" "Whanganui / Wanganui" "14:20:00" 245 20 "102269-KAI" "Kai Iwi" "14:24:00"
19 "102269-26818" "102269-6808" 247.1628631195603 12.358143155978016 250 25 "102269-MNT" "Manutahi" "15:30:00" 251 26 "102269-HWA" "Hawera" "15:32:00"
6 "102269-22504" "102269-6807" 173.67216629420923 14.472680524517436 39 18 "102269-WAG" "Whanganui / Wanganui" "19:45:00" 40 19 "102269-KAI" "Kai Iwi" "19:49:00"
6 "102269-22504" "102269-6807" 164.60788286402024 13.717323572001687 43 22 "102269-WVY-6808" "Waverley" "20:20:00" 44 23 "102269-PAT" "Patea" "20:24:00"
175 "102269-29336" "102269-6211" 427.5941748493184 14.253139161643945 2119 15 "102269-ROA" "Rotorua Airport" "14:23:00" 2120 16 "102269-RTI" "Rotoiti" "14:24:00"
178 "102269-29340" "102269-6407" 162.51793498035394 13.543161248362829 2228 16 "102269-MPU" "Mapiu" "13:15:00" 2229 17 "102269-OHR" "Ohura Turn Off" "13:19:00"
178 "102269-29340" "102269-6407" 172.72835033429243 14.39402919452437 2245 33 "102269-TRK-6407" "Turakina" "17:40:00" 2246 34 "102269-MTN" "Marton" "17:44:00"
56 "102269-28337" "102269-6602" 221.53480429175872 18.461233690979892 491 15 "102269-ATI" "Atiamuri" "17:00:00" 492 16 "102269-OKK" "Orakei Korako Turn off" "17:04:00"
111 "102269-29008" "102269-7105" 179.50187060042634 14.958489216702194 1289 14 "102269-IWT" "Iwitahi" "13:20:00" 1290 15 "102269-RGT" "Rangitaiki" "13:24:00"
111 "102269-29008" "102269-7105" 234.51540794245423 19.542950661871185 1290 15 "102269-RGT" "Rangitaiki" "13:25:00" 1291 16 "102269-TRW-6609" "Tarawera" "13:29:00"
111 "102269-29008" "102269-7105" 256.5272862900599 21.377273857504992 1294 19 "102269-TPH" "Te Pohue" "14:40:00" 1295 20 "102269-ESK" "Eskdale" "14:44:00"
fast_travel_between_far_stops WARNING 29

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

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.
184 "102269-29351" "102269-6404" 157.74009507441696 13.145007922868079 2352 17 "102269-URN-6411" "Urenui" "13:15:00" 2353 18 "102269-WAT" "Waitara" "13:19:00"
185 "102269-29352" "102269-6404" 157.74009507441696 13.145007922868079 2375 18 "102269-URN-6411" "Urenui" "19:45:00" 2376 19 "102269-WAT" "Waitara" "19:49:00"
176 "102269-29338" "102269-6211" 248.5466800637984 12.42733400318992 2158 21 "102269-NON" "Ngongotaha" "13:33:00" 2159 22 "102269-MMK" "Mamaku" "13:35:00"
18 "102269-26237" "102269-8110" 156.73233115484666 13.061027596237222 212 22 "102269-MKK-8127" "Makikihi" "20:50:00" 213 23 "102269-WET" "Waimate Turn Off" "20:54:00"
187 "102269-29354" "102269-6101" 246.89678724040087 12.344839362020045 2412 5 "102269-TEH" "Te Hana" "19:22:00" 2413 6 "102269-KWK-6108" "Kaiwaka" "19:24:00"
179 "102269-29342" "102269-6407" 172.72835033429243 14.39402919452437 2255 4 "102269-MTN" "Marton" "10:40:00" 2256 5 "102269-TRK-6412" "Turakina" "10:44:00"
155 "102269-29204" "102269-8900" 223.37726246471018 18.61477187205918 1728 7 "102269-LMS-8900" "Lumsden" "08:50:00" 1729 8 "102269-DIP" "Dipton" "08:54:00"
103 "102269-28990" "102269-2048" 170.42530976649314 28.40421829441552 1126 11 "102269-TOI" "Te Poi" "11:20:00" 1127 12 "102269-MMK" "Mamaku" "11:29:00"
76 "102269-28706" "102269-6602" 221.53480429175872 18.461233690979892 768 13 "102269-OKK" "Orakei Korako Turn off" "10:35:00" 769 14 "102269-ATI" "Atiamuri" "10:39:00"
100 "102269-28987" "102269-7701" 205.0675212136651 13.671168080911006 1052 26 "102269-MSY-6503" "Massey University (Palmerston Nth)" "14:35:00" 1053 27 "102269-TKM" "Tokomaru" "14:38:00"
64 "102269-28549" "102269-8109" 151.5526498468461 12.629387487237176 606 0 "102269-GOR" "Gore" "09:50:00" 607 1 "102269-MAT-8103" "Mataura" "09:54:00"
114 "102269-29012" "102269-8707" 171.18957283600608 17.118957283600608 1340 5 "102269-WKU-8707" "Waikuku" "14:35:00" 1342 7 "102269-AMB-8707" "Amberley" "14:40:00"
12 "102269-25735" "102269-8110" 261.2205519247444 13.061027596237222 112 11 "102269-WET" "Waimate Turn Off" "19:30:00" 113 12 "102269-MKK-8110" "Makikihi" "19:32:00"
11 "102269-24507" "102269-6819" 164.05401697093205 13.671168080911006 88 23 "102269-MSY-6503" "Massey University (Palmerston Nth)" "18:25:00" 89 24 "102269-TKM" "Tokomaru" "18:29:00"
221 "102269-29481" "102269-6501" 233.9315568453702 19.49429640378085 2800 26 "102269-HVL-6501" "Hunterville" "17:25:00" 2801 27 "102269-MVW" "Mt View" "17:29:00"
71 "102269-28595" "102269-6819" 164.05401697093205 13.671168080911006 703 24 "102269-MSY-6503" "Massey University (Palmerston Nth)" "20:00:00" 704 25 "102269-TKM" "Tokomaru" "20:04:00"
20 "102269-26832" "102269-2048" 165.0896250051548 13.757468750429569 270 8 "102269-HLC-6501" "Hillcrest (Hamilton)" "17:55:00" 271 9 "102269-SPC" "St Peters School (Cambridge)" "17:59:00"
15 "102269-26080" "102269-6606" 179.50187060042634 14.958489216702194 169 14 "102269-IWT" "Iwitahi" "13:20:00" 170 15 "102269-RGT" "Rangitaiki" "13:24:00"
117 "102269-29057" "102269-6606" 154.6804611122622 25.7800768520437 1395 12 "102269-WRK" "Wairakei" "16:10:00" 1396 13 "102269-GSP" "Golden Springs" "16:19:00"
105 "102269-28997" "102269-6101" 150.25028387346902 12.520856989455751 1154 13 "102269-OAK-6108" "Oakleigh" "10:15:00" 1155 14 "102269-WRE" "Whangarei" "10:19:00"
19 "102269-26818" "102269-6808" 172.72835033429243 14.39402919452437 240 15 "102269-MTN" "Marton" "13:45:00" 241 16 "102269-TRK-6412" "Turakina" "13:49:00"
6 "102269-22504" "102269-6807" 173.67216629420923 14.472680524517436 39 18 "102269-WAG" "Whanganui / Wanganui" "19:45:00" 40 19 "102269-KAI" "Kai Iwi" "19:49:00"
175 "102269-29336" "102269-6211" 427.5941748493184 14.253139161643945 2119 15 "102269-ROA" "Rotorua Airport" "14:23:00" 2120 16 "102269-RTI" "Rotoiti" "14:24:00"
178 "102269-29340" "102269-6407" 162.51793498035394 13.543161248362829 2228 16 "102269-MPU" "Mapiu" "13:15:00" 2229 17 "102269-OHR" "Ohura Turn Off" "13:19:00"
56 "102269-28337" "102269-6602" 221.53480429175872 18.461233690979892 491 15 "102269-ATI" "Atiamuri" "17:00:00" 492 16 "102269-OKK" "Orakei Korako Turn off" "17:04:00"
111 "102269-29008" "102269-7105" 179.50187060042634 14.958489216702194 1289 14 "102269-IWT" "Iwitahi" "13:20:00" 1290 15 "102269-RGT" "Rangitaiki" "13:24:00"
186 "102269-29353" "102269-6404" 157.74009507441696 13.145007922868079 2387 5 "102269-WAT" "Waitara" "15:31:00" 2388 6 "102269-URN-6404" "Urenui" "15:35:00"
177 "102269-29339" "102269-6211" 248.5466800637984 12.42733400318992 2195 21 "102269-NON" "Ngongotaha" "13:33:00" 2196 22 "102269-MMK" "Mamaku" "13:35:00"
21 "102269-26833" "102269-2048" 165.0896250051548 13.757468750429569 280 2 "102269-HLC-6501" "Hillcrest (Hamilton)" "17:55:00" 281 3 "102269-SPC" "St Peters School (Cambridge)" "17:59:00"
feed_expiration_date7_days WARNING 1

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20260510" "20200428" "20260517"
mixed_case_recommended_field WARNING 1

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.
"agency.txt" "agency_name" "awesomenz" 5
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.
"20260510" "20190101" "20200428"