GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T19:40:10Z,
for the dataset file:///shared/intercity-group.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Email:
alex@busmaps.com
Feed Language:
English
Feed Start Date:
2019-01-01
Feed End Date:
2020-07-16

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: 79
  • Shapes: 1
  • Stops: 638
  • Trips: 229

Specification Compliance report

222 notices reported (0 errors, 222 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 "104072-2047" 5 "104072-2048" "" "Auckland - Central - Rotorua" 3 "104072-SK"
9 "104072-3101" 11 "104072-3110" "" "Hamilton - Central - Mount Maunganui (Tauranga)" 3 "104072-IC"
17 "104072-6331" 18 "104072-6332" "" "Thames - Whitianga" 3 "104072-IC"
17 "104072-6331" 19 "104072-6344" "" "Thames - Whitianga" 3 "104072-IC"
17 "104072-6331" 20 "104072-6345" "" "Thames - Whitianga" 3 "104072-IC"
29 "104072-6501" 30 "104072-6513" "" "Auckland - Central - Wellington - Central" 3 "104072-IC"
35 "104072-6805" 38 "104072-6818" "" "Whanganui / Wanganui - Wellington Airport" 3 "104072-IC"
36 "104072-6807" 39 "104072-6819" "" "Wellington - Central - New Plymouth" 3 "104072-IC"
47 "104072-7640" 48 "104072-7641" "" "Auckland - Central - Paihia (Bay of Islands)" 3 "104072-GS"
62 "104072-8616" 63 "104072-8619" "" "Christchurch - Hanmer Springs" 3 "104072-HC"
64 "104072-8701" 65 "104072-8702" "" "Picton - Nelson" 3 "104072-IC"
68 "104072-8832" 69 "104072-8833" "" "Queenstown - Wanaka" 3 "104072-IC"
75 "104072-9661" 76 "104072-9662" "" "Queenstown - Christchurch" 3 "104072-GS"
expired_calendar WARNING 117

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 117 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "104072-16000"
3 "104072-20000"
4 "104072-22504"
5 "104072-23891"
6 "104072-24129"
7 "104072-24402"
8 "104072-25476"
9 "104072-25735"
10 "104072-26080"
11 "104072-26162"
12 "104072-26237"
13 "104072-26818"
14 "104072-27742"
15 "104072-27894"
16 "104072-28110"
17 "104072-28112"
18 "104072-28187"
19 "104072-28188"
20 "104072-28217"
21 "104072-28337"
22 "104072-28535"
23 "104072-28553"
24 "104072-28554"
25 "104072-28582"
26 "104072-28595"
27 "104072-28706"
28 "104072-28732"
29 "104072-28733"
30 "104072-28751"
31 "104072-28756"
32 "104072-28759"
33 "104072-28760"
34 "104072-28816"
35 "104072-28818"
36 "104072-28839"
37 "104072-28925"
38 "104072-28926"
39 "104072-28990"
40 "104072-28997"
41 "104072-28998"
42 "104072-29002"
43 "104072-29003"
44 "104072-29008"
45 "104072-29009"
46 "104072-29012"
47 "104072-29057"
48 "104072-29151"
49 "104072-29156"
50 "104072-29199"
51 "104072-29212"
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.
149 "104072-29351" "104072-6404" 157.74009507441696 13.145007922868079 1775 17 "104072-URN-6411" "Urenui" "13:15:00" 1776 18 "104072-WAT" "Waitara" "13:19:00"
12 "104072-25735" "104072-8110" 261.2205519247444 13.061027596237222 117 11 "104072-WET" "Waimate Turn Off" "19:30:00" 118 12 "104072-MKK-8110" "Makikihi" "19:32:00"
188 "104072-29597" "104072-6211" 248.5466800637984 12.42733400318992 2176 21 "104072-NON" "Ngongotaha" "13:33:00" 2177 22 "104072-MMK" "Mamaku" "13:35:00"
178 "104072-29586" "104072-6404" 157.74009507441696 13.145007922868079 2041 5 "104072-WAT" "Waitara" "15:31:00" 2042 6 "104072-URN-6404" "Urenui" "15:35:00"
178 "104072-29586" "104072-6404" 161.9027768095785 13.491898067464875 2042 6 "104072-URN-6404" "Urenui" "15:36:00" 2043 7 "104072-URT" "Uruti" "15:40:00"
14 "104072-26080" "104072-6606" 179.50187060042634 14.958489216702194 157 14 "104072-IWT" "Iwitahi" "13:20:00" 158 15 "104072-RGT" "Rangitaiki" "13:24:00"
14 "104072-26080" "104072-6606" 234.51540794245423 19.542950661871185 158 15 "104072-RGT" "Rangitaiki" "13:25:00" 159 16 "104072-TRW-6609" "Tarawera" "13:29:00"
14 "104072-26080" "104072-6606" 256.5272862900599 21.377273857504992 162 19 "104072-TPH" "Te Pohue" "14:45:00" 163 20 "104072-ESK" "Eskdale" "14:49:00"
17 "104072-26237" "104072-8110" 156.73233115484666 13.061027596237222 200 22 "104072-MKK-8127" "Makikihi" "20:50:00" 201 23 "104072-WET" "Waimate Turn Off" "20:54:00"
181 "104072-29589" "104072-6404" 157.74009507441696 13.145007922868079 2125 18 "104072-URN-6411" "Urenui" "19:45:00" 2126 19 "104072-WAT" "Waitara" "19:49:00"
87 "104072-28997" "104072-6101" 150.25028387346902 12.520856989455751 923 13 "104072-OAK-6108" "Oakleigh" "10:15:00" 924 14 "104072-WRE" "Whangarei" "10:19:00"
220 "104072-29706" "104072-7701" 205.0675212136651 13.671168080911006 2645 26 "104072-MSY-6503" "Massey University (Palmerston Nth)" "14:35:00" 2646 27 "104072-TKM" "Tokomaru" "14:38:00"
125 "104072-29156" "104072-6808" 189.72876653075235 6.324292217691745 1294 15 "104072-MAX" "Maxwell" "10:18:00" 1295 16 "104072-KAI" "Kai Iwi" "10:19:00"
95 "104072-29057" "104072-6606" 154.6804611122622 25.7800768520437 1086 12 "104072-WRK" "Wairakei" "16:10:00" 1087 13 "104072-GSP" "Golden Springs" "16:19:00"
141 "104072-29336" "104072-6211" 427.5941748493184 14.253139161643945 1580 15 "104072-ROA" "Rotorua Airport" "14:23:00" 1581 16 "104072-RTI" "Rotoiti" "14:24:00"
144 "104072-29342" "104072-6407" 172.72835033429243 14.39402919452437 1678 4 "104072-MTN" "Marton" "10:40:00" 1679 5 "104072-TRK-6412" "Turakina" "10:44:00"
144 "104072-29342" "104072-6407" 167.3798295688057 13.94831913073381 1688 14 "104072-RRM" "Raurimu" "13:25:00" 1689 15 "104072-OWH" "Owhango" "13:29:00"
144 "104072-29342" "104072-6407" 181.05090121052788 15.087575100877324 1699 25 "104072-OHA" "Otorohanga" "16:10:00" 1700 26 "104072-TKX" "Te Kawa Crossroads" "16:14:00"
5 "104072-22504" "104072-6807" 173.67216629420923 14.472680524517436 37 18 "104072-WAG" "Whanganui / Wanganui" "19:45:00" 38 19 "104072-KAI" "Kai Iwi" "19:49:00"
5 "104072-22504" "104072-6807" 164.60788286402024 13.717323572001687 41 22 "104072-WVY-6808" "Waverley" "20:20:00" 42 23 "104072-PAT" "Patea" "20:24:00"
18 "104072-26818" "104072-6808" 172.72835033429243 14.39402919452437 228 15 "104072-MTN" "Marton" "13:45:00" 229 16 "104072-TRK-6412" "Turakina" "13:49:00"
18 "104072-26818" "104072-6808" 173.67216629420923 14.472680524517436 232 19 "104072-WAG" "Whanganui / Wanganui" "14:20:00" 233 20 "104072-KAI" "Kai Iwi" "14:24:00"
18 "104072-26818" "104072-6808" 247.1628631195603 12.358143155978016 238 25 "104072-MNT" "Manutahi" "15:30:00" 239 26 "104072-HWA" "Hawera" "15:32:00"
63 "104072-28706" "104072-6602" 221.53480429175872 18.461233690979892 656 13 "104072-OKK" "Orakei Korako Turn off" "10:35:00" 657 14 "104072-ATI" "Atiamuri" "10:39:00"
53 "104072-28549" "104072-8109" 151.5526498468461 12.629387487237176 525 0 "104072-GOR" "Gore" "09:50:00" 526 1 "104072-MAT-8103" "Mataura" "09:54:00"
53 "104072-28549" "104072-8109" 166.07199515634824 13.839332929695686 527 2 "104072-EDN-8103" "Edendale" "10:05:00" 528 3 "104072-DCR" "Dacre" "10:09:00"
150 "104072-29354" "104072-6101" 232.36986378785474 11.618493189392737 1785 5 "104072-TEH" "Te Hana" "19:22:00" 1786 6 "104072-KWK-7326" "Kaiwaka" "19:24:00"
150 "104072-29354" "104072-6101" 160.73954595116447 8.036977297558224 1792 12 "104072-KAM-6108" "Kamo" "20:30:00" 1793 13 "104072-HKR-6108" "Hikurangi" "20:32:00"
150 "104072-29354" "104072-6101" 381.3142655131825 12.710475517106083 1793 13 "104072-HKR-6108" "Hikurangi" "20:33:00" 1794 14 "104072-HUK" "Hukerenui" "20:34:00"
189 "104072-29598" "104072-8707" 383.00179865948917 6.383363310991486 2197 4 "104072-KPI" "Kaiapoi" "07:30:00" 2198 5 "104072-WDD-8619" "Woodend" "07:30:00"
189 "104072-29598" "104072-8707" 177.30018111749067 5.910006037249689 2200 7 "104072-LTF" "Leithfield" "07:45:00" 2201 8 "104072-AMB-8707" "Amberley" "07:46:00"
10 "104072-24507" "104072-6819" 189.72876653075235 6.324292217691745 77 14 "104072-MAX" "Maxwell" "15:53:00" 78 15 "104072-KAI" "Kai Iwi" "15:54:00"
10 "104072-24507" "104072-6819" 176.62366591050923 5.887455530350308 83 20 "104072-BLS" "Bulls" "17:05:00" 84 21 "104072-SAN-6407" "Sanson" "17:06:00"
10 "104072-24507" "104072-6819" 164.05401697093205 13.671168080911006 86 23 "104072-MSY-6503" "Massey University (Palmerston Nth)" "18:25:00" 87 24 "104072-TKM" "Tokomaru" "18:29:00"
198 "104072-29644" "104072-9829" 279.8318223898961 23.319318532491344 2370 8 "104072-BMC" "Bushman's Centre" "11:15:00" 2371 9 "104072-ROS" "Ross" "11:19:00"
124 "104072-29155" "104072-6807" 189.72876653075235 6.324292217691745 1257 15 "104072-MAX" "Maxwell" "10:18:00" 1258 16 "104072-KAI" "Kai Iwi" "10:19:00"
179 "104072-29587" "104072-6404" 157.74009507441696 13.145007922868079 2064 3 "104072-WAT" "Waitara" "15:31:00" 2065 4 "104072-URN-6404" "Urenui" "15:35:00"
179 "104072-29587" "104072-6404" 161.9027768095785 13.491898067464875 2065 4 "104072-URN-6404" "Urenui" "15:36:00" 2066 5 "104072-URT" "Uruti" "15:40:00"
60 "104072-28595" "104072-6819" 164.05401697093205 13.671168080911006 622 24 "104072-MSY-6503" "Massey University (Palmerston Nth)" "20:00:00" 623 25 "104072-TKM" "Tokomaru" "20:04:00"
138 "104072-29324" "104072-6364" 271.6662176268227 9.055540587560756 1489 3 "104072-MKE" "Manutuke" "09:15:00" 1490 4 "104072-MRW" "Muriwai" "09:16:00"
138 "104072-29324" "104072-6364" 173.2815915173464 5.776053050578214 1499 13 "104072-TIO" "Tangoio" "12:30:00" 1500 14 "104072-WKI" "Whirinaki (Hawkes Bay)" "12:31:00"
138 "104072-29324" "104072-6364" 162.39250205463247 5.4130834018210825 1500 14 "104072-WKI" "Whirinaki (Hawkes Bay)" "12:35:00" 1501 15 "104072-BVW-6367" "Bayview" "12:36:00"
223 "104072-29754" "104072-6501" 233.9315568453702 19.49429640378085 2744 26 "104072-HVL-6501" "Hunterville" "17:25:00" 2745 27 "104072-MVW" "Mt View" "17:29:00"
82 "104072-28976" "104072-7330" 181.83375699700719 9.09168784985036 864 9 "104072-TPA" "Taipa" "13:40:00" 865 10 "104072-INL" "Lake Ohia" "13:42:00"
52 "104072-28547" "104072-8103" 220.30658197839364 7.343552732613121 509 3 "104072-MSG-8103" "Mosgiel" "17:23:00" 510 4 "104072-ALN" "Allanton" "17:24:00"
91 "104072-29008" "104072-7105" 179.50187060042634 14.958489216702194 1008 14 "104072-IWT" "Iwitahi" "13:20:00" 1009 15 "104072-RGT" "Rangitaiki" "13:24:00"
91 "104072-29008" "104072-7105" 234.51540794245423 19.542950661871185 1009 15 "104072-RGT" "Rangitaiki" "13:25:00" 1010 16 "104072-TRW-6609" "Tarawera" "13:29:00"
91 "104072-29008" "104072-7105" 256.5272862900599 21.377273857504992 1013 19 "104072-TPH" "Te Pohue" "14:40:00" 1014 20 "104072-ESK" "Eskdale" "14:44:00"
142 "104072-29338" "104072-6211" 248.5466800637984 12.42733400318992 1619 21 "104072-NON" "Ngongotaha" "13:33:00" 1620 22 "104072-MMK" "Mamaku" "13:35:00"
48 "104072-28337" "104072-6602" 221.53480429175872 18.461233690979892 422 15 "104072-ATI" "Atiamuri" "17:00:00" 423 16 "104072-OKK" "Orakei Korako Turn off" "17:04:00"
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.
149 "104072-29351" "104072-6404" 157.74009507441696 13.145007922868079 1775 17 "104072-URN-6411" "Urenui" "13:15:00" 1776 18 "104072-WAT" "Waitara" "13:19:00"
12 "104072-25735" "104072-8110" 261.2205519247444 13.061027596237222 117 11 "104072-WET" "Waimate Turn Off" "19:30:00" 118 12 "104072-MKK-8110" "Makikihi" "19:32:00"
188 "104072-29597" "104072-6211" 248.5466800637984 12.42733400318992 2176 21 "104072-NON" "Ngongotaha" "13:33:00" 2177 22 "104072-MMK" "Mamaku" "13:35:00"
178 "104072-29586" "104072-6404" 157.74009507441696 13.145007922868079 2041 5 "104072-WAT" "Waitara" "15:31:00" 2042 6 "104072-URN-6404" "Urenui" "15:35:00"
14 "104072-26080" "104072-6606" 179.50187060042634 14.958489216702194 157 14 "104072-IWT" "Iwitahi" "13:20:00" 158 15 "104072-RGT" "Rangitaiki" "13:24:00"
17 "104072-26237" "104072-8110" 156.73233115484666 13.061027596237222 200 22 "104072-MKK-8127" "Makikihi" "20:50:00" 201 23 "104072-WET" "Waimate Turn Off" "20:54:00"
181 "104072-29589" "104072-6404" 157.74009507441696 13.145007922868079 2125 18 "104072-URN-6411" "Urenui" "19:45:00" 2126 19 "104072-WAT" "Waitara" "19:49:00"
87 "104072-28997" "104072-6101" 150.25028387346902 12.520856989455751 923 13 "104072-OAK-6108" "Oakleigh" "10:15:00" 924 14 "104072-WRE" "Whangarei" "10:19:00"
220 "104072-29706" "104072-7701" 205.0675212136651 13.671168080911006 2645 26 "104072-MSY-6503" "Massey University (Palmerston Nth)" "14:35:00" 2646 27 "104072-TKM" "Tokomaru" "14:38:00"
95 "104072-29057" "104072-6606" 154.6804611122622 25.7800768520437 1086 12 "104072-WRK" "Wairakei" "16:10:00" 1087 13 "104072-GSP" "Golden Springs" "16:19:00"
141 "104072-29336" "104072-6211" 427.5941748493184 14.253139161643945 1580 15 "104072-ROA" "Rotorua Airport" "14:23:00" 1581 16 "104072-RTI" "Rotoiti" "14:24:00"
144 "104072-29342" "104072-6407" 172.72835033429243 14.39402919452437 1678 4 "104072-MTN" "Marton" "10:40:00" 1679 5 "104072-TRK-6412" "Turakina" "10:44:00"
5 "104072-22504" "104072-6807" 173.67216629420923 14.472680524517436 37 18 "104072-WAG" "Whanganui / Wanganui" "19:45:00" 38 19 "104072-KAI" "Kai Iwi" "19:49:00"
18 "104072-26818" "104072-6808" 172.72835033429243 14.39402919452437 228 15 "104072-MTN" "Marton" "13:45:00" 229 16 "104072-TRK-6412" "Turakina" "13:49:00"
63 "104072-28706" "104072-6602" 221.53480429175872 18.461233690979892 656 13 "104072-OKK" "Orakei Korako Turn off" "10:35:00" 657 14 "104072-ATI" "Atiamuri" "10:39:00"
53 "104072-28549" "104072-8109" 151.5526498468461 12.629387487237176 525 0 "104072-GOR" "Gore" "09:50:00" 526 1 "104072-MAT-8103" "Mataura" "09:54:00"
150 "104072-29354" "104072-6101" 232.36986378785474 11.618493189392737 1785 5 "104072-TEH" "Te Hana" "19:22:00" 1786 6 "104072-KWK-7326" "Kaiwaka" "19:24:00"
10 "104072-24507" "104072-6819" 164.05401697093205 13.671168080911006 86 23 "104072-MSY-6503" "Massey University (Palmerston Nth)" "18:25:00" 87 24 "104072-TKM" "Tokomaru" "18:29:00"
198 "104072-29644" "104072-9829" 279.8318223898961 23.319318532491344 2370 8 "104072-BMC" "Bushman's Centre" "11:15:00" 2371 9 "104072-ROS" "Ross" "11:19:00"
179 "104072-29587" "104072-6404" 157.74009507441696 13.145007922868079 2064 3 "104072-WAT" "Waitara" "15:31:00" 2065 4 "104072-URN-6404" "Urenui" "15:35:00"
60 "104072-28595" "104072-6819" 164.05401697093205 13.671168080911006 622 24 "104072-MSY-6503" "Massey University (Palmerston Nth)" "20:00:00" 623 25 "104072-TKM" "Tokomaru" "20:04:00"
223 "104072-29754" "104072-6501" 233.9315568453702 19.49429640378085 2744 26 "104072-HVL-6501" "Hunterville" "17:25:00" 2745 27 "104072-MVW" "Mt View" "17:29:00"
91 "104072-29008" "104072-7105" 179.50187060042634 14.958489216702194 1008 14 "104072-IWT" "Iwitahi" "13:20:00" 1009 15 "104072-RGT" "Rangitaiki" "13:24:00"
142 "104072-29338" "104072-6211" 248.5466800637984 12.42733400318992 1619 21 "104072-NON" "Ngongotaha" "13:33:00" 1620 22 "104072-MMK" "Mamaku" "13:35:00"
48 "104072-28337" "104072-6602" 221.53480429175872 18.461233690979892 422 15 "104072-ATI" "Atiamuri" "17:00:00" 423 16 "104072-OKK" "Orakei Korako Turn off" "17:04:00"
143 "104072-29340" "104072-6407" 162.51793498035394 13.543161248362829 1651 16 "104072-MPU" "Mapiu" "13:15:00" 1652 17 "104072-OHR" "Ohura Turn Off" "13:19:00"
94 "104072-29012" "104072-8707" 171.18957283600608 17.118957283600608 1059 5 "104072-WKU-8707" "Waikuku" "14:35:00" 1061 7 "104072-AMB-8707" "Amberley" "14:40:00"
85 "104072-28990" "104072-2048" 170.42530976649314 28.40421829441552 895 11 "104072-TOI" "Te Poi" "11:20:00" 896 12 "104072-MMK" "Mamaku" "11:29:00"
180 "104072-29588" "104072-6404" 157.74009507441696 13.145007922868079 2102 18 "104072-URN-6411" "Urenui" "19:45:00" 2103 19 "104072-WAT" "Waitara" "19:49:00"
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 "20251205" "20200716" "20251212"
missing_bike_allowance WARNING 5

missing_bike_allowance

Ferry trips should include bike allowance information.

All ferry trips should have a valid value in the bikes_allowed field in trips.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
8 "104072-6521" "104072-24402"
9 "104072-6521" "104072-24450"
22 "104072-6521" "104072-27268"
127 "104072-6521" "104072-29178"
163 "104072-6521" "104072-29429"
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.
"20251205" "20190405" "20200716"