soya-bus — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-27T15:23:06Z,
for the dataset file:///shared/soya-bus_dd82cce5.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
ジョルダン株式会社
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2025-12-06
Feed End Date:
2026-12-04

Files included


  1. agency.txt
  2. agency_jp.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. change_name.txt
  6. fare_attributes.txt
  7. fare_rules.txt
  8. feed_info.txt
  9. pass_attributes.txt
  10. pass_rules.txt
  11. pattern_jp.txt
  12. routes.txt
  13. stop_times.txt
  14. stops.txt
  15. translations.txt
  16. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 17
  • Shapes: 0
  • Stops: 319
  • Trips: 235

Specification Compliance report

44754 notices reported (30111 errors, 14630 warnings, 13 infos)

Notice Code Severity Total
duplicate_key ERROR 30111

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

Only the first 50 of 30111 affected records are displayed below.

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.
"fare_rules.txt" 602 610 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000320_00,R011000001,Z000380"
"fare_rules.txt" 601 611 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000320_00,R011000001,Z000370"
"fare_rules.txt" 600 612 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000320_00,R011000001,Z000360"
"fare_rules.txt" 596 613 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000320_00,R011000001,Z000320"
"fare_rules.txt" 652 660 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000310_00,R011000001,Z000380"
"fare_rules.txt" 651 661 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000310_00,R011000001,Z000370"
"fare_rules.txt" 650 662 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000310_00,R011000001,Z000360"
"fare_rules.txt" 646 663 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000310_00,R011000001,Z000320"
"fare_rules.txt" 645 664 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000310_00,R011000001,Z000310"
"fare_rules.txt" 703 711 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000300_00,R011000001,Z000380"
"fare_rules.txt" 702 712 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000300_00,R011000001,Z000370"
"fare_rules.txt" 701 713 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000300_00,R011000001,Z000360"
"fare_rules.txt" 697 714 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000300_00,R011000001,Z000320"
"fare_rules.txt" 696 715 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000300_00,R011000001,Z000310"
"fare_rules.txt" 695 716 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000300_00,R011000001,Z000300"
"fare_rules.txt" 755 763 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000290_00,R011000001,Z000380"
"fare_rules.txt" 754 764 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000290_00,R011000001,Z000370"
"fare_rules.txt" 753 765 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000290_00,R011000001,Z000360"
"fare_rules.txt" 749 766 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000290_00,R011000001,Z000320"
"fare_rules.txt" 748 767 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000290_00,R011000001,Z000310"
"fare_rules.txt" 747 768 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000290_00,R011000001,Z000300"
"fare_rules.txt" 746 769 "fare_id,route_id,contains_id" "F01100004700_R011000001000000_Z000000_Z000290_00,R011000001,Z000290"
"fare_rules.txt" 808 816 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000280_00,R011000001,Z000380"
"fare_rules.txt" 807 817 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000280_00,R011000001,Z000370"
"fare_rules.txt" 806 818 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000280_00,R011000001,Z000360"
"fare_rules.txt" 802 819 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000280_00,R011000001,Z000320"
"fare_rules.txt" 801 820 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000280_00,R011000001,Z000310"
"fare_rules.txt" 800 821 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000280_00,R011000001,Z000300"
"fare_rules.txt" 799 822 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000280_00,R011000001,Z000290"
"fare_rules.txt" 798 823 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000280_00,R011000001,Z000280"
"fare_rules.txt" 862 870 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000270_00,R011000001,Z000380"
"fare_rules.txt" 861 871 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000270_00,R011000001,Z000370"
"fare_rules.txt" 860 872 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000270_00,R011000001,Z000360"
"fare_rules.txt" 856 873 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000270_00,R011000001,Z000320"
"fare_rules.txt" 855 874 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000270_00,R011000001,Z000310"
"fare_rules.txt" 854 875 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000270_00,R011000001,Z000300"
"fare_rules.txt" 853 876 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000270_00,R011000001,Z000290"
"fare_rules.txt" 852 877 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000270_00,R011000001,Z000280"
"fare_rules.txt" 851 878 "fare_id,route_id,contains_id" "F01100006000_R011000001000000_Z000000_Z000270_00,R011000001,Z000270"
"fare_rules.txt" 917 925 "fare_id,route_id,contains_id" "F01100006700_R011000001000000_Z000000_Z000260_00,R011000001,Z000380"
"fare_rules.txt" 916 926 "fare_id,route_id,contains_id" "F01100006700_R011000001000000_Z000000_Z000260_00,R011000001,Z000370"
"fare_rules.txt" 915 927 "fare_id,route_id,contains_id" "F01100006700_R011000001000000_Z000000_Z000260_00,R011000001,Z000360"
"fare_rules.txt" 911 928 "fare_id,route_id,contains_id" "F01100006700_R011000001000000_Z000000_Z000260_00,R011000001,Z000320"
"fare_rules.txt" 910 929 "fare_id,route_id,contains_id" "F01100006700_R011000001000000_Z000000_Z000260_00,R011000001,Z000310"
"fare_rules.txt" 909 930 "fare_id,route_id,contains_id" "F01100006700_R011000001000000_Z000000_Z000260_00,R011000001,Z000300"
"fare_rules.txt" 908 931 "fare_id,route_id,contains_id" "F01100006700_R011000001000000_Z000000_Z000260_00,R011000001,Z000290"
"fare_rules.txt" 907 932 "fare_id,route_id,contains_id" "F01100006700_R011000001000000_Z000000_Z000260_00,R011000001,Z000280"
"fare_rules.txt" 906 933 "fare_id,route_id,contains_id" "F01100006700_R011000001000000_Z000000_Z000260_00,R011000001,Z000270"
"fare_rules.txt" 905 934 "fare_id,route_id,contains_id" "F01100006700_R011000001000000_Z000000_Z000260_00,R011000001,Z000260"
"fare_rules.txt" 973 981 "fare_id,route_id,contains_id" "F01100006700_R011000001000000_Z000000_Z000250_00,R011000001,Z000380"
fast_travel_between_consecutive_stops WARNING 48

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.
235 "T0110000242" "R011000018" 169.99306805343824 2.8332178008906377 9469 44 "S011000015400100" "東浦" "17:21:00" 9470 45 "S011000015300100" "苗太路" "17:21:00"
235 "T0110000242" "R011000018" 154.28692675039375 2.5714487791732292 9470 45 "S011000015300100" "苗太路" "17:21:00" 9471 46 "S011000015200100" "鈴木宅前" "17:21:00"
235 "T0110000242" "R011000018" 263.7152706961544 4.395254511602573 9474 49 "S011000014900100" "天野宅前" "17:28:00" 9475 50 "S011000014700100" "浜鬼志別シネシンコ" "17:28:00"
235 "T0110000242" "R011000018" 164.44124750591072 2.7406874584318452 9489 64 "S011000013700100" "さるふつ公園前" "18:00:00" 9490 65 "S011000013600100" "恵山辺" "18:00:00"
235 "T0110000242" "R011000018" 157.87421446340338 2.6312369077233897 9499 74 "S011000012700100" "飛行場前" "18:31:00" 9500 75 "S011000012600100" "安別" "18:31:00"
235 "T0110000242" "R011000018" 281.1906815888044 4.686511359813407 9501 76 "S011000012500100" "山軽" "18:31:00" 9502 77 "S011000012400100" "よつ葉乳業前" "18:31:00"
231 "T0110000238" "R011000018" 285.8814886535352 4.7646914775589195 9209 6 "S011000012400200" "よつ葉乳業前" "19:21:00" 9210 7 "S011000012500200" "山軽" "19:21:00"
231 "T0110000238" "R011000018" 257.25226566320066 4.287537761053344 9214 11 "S011000012900200" "浅茅野" "19:36:00" 9215 12 "S011000013000100" "生産団地前" "19:36:00"
231 "T0110000238" "R011000018" 163.52664459832638 2.7254440766387726 9217 14 "S011000013200100" "猿払" "19:49:00" 9218 15 "S011000013300100" "芦野高台" "19:49:00"
233 "T0110000240" "R011000018" 169.99306805343824 2.8332178008906377 9303 44 "S011000015400100" "東浦" "10:39:00" 9304 45 "S011000015300100" "苗太路" "10:39:00"
233 "T0110000240" "R011000018" 154.28692675039375 2.5714487791732292 9304 45 "S011000015300100" "苗太路" "10:39:00" 9305 46 "S011000015200100" "鈴木宅前" "10:39:00"
233 "T0110000240" "R011000018" 263.7152706961544 4.395254511602573 9308 49 "S011000014900100" "天野宅前" "10:46:00" 9309 50 "S011000014700100" "浜鬼志別シネシンコ" "10:46:00"
233 "T0110000240" "R011000018" 164.44124750591072 2.7406874584318452 9323 64 "S011000013700100" "さるふつ公園前" "11:31:00" 9324 65 "S011000013600100" "恵山辺" "11:31:00"
233 "T0110000240" "R011000018" 157.87421446340338 2.6312369077233897 9333 74 "S011000012700100" "飛行場前" "12:02:00" 9334 75 "S011000012600100" "安別" "12:02:00"
233 "T0110000240" "R011000018" 281.1906815888044 4.686511359813407 9335 76 "S011000012500100" "山軽" "12:02:00" 9336 77 "S011000012400100" "よつ葉乳業前" "12:02:00"
234 "T0110000241" "R011000018" 169.99306805343824 2.8332178008906377 9386 44 "S011000015400100" "東浦" "14:39:00" 9387 45 "S011000015300100" "苗太路" "14:39:00"
234 "T0110000241" "R011000018" 154.28692675039375 2.5714487791732292 9387 45 "S011000015300100" "苗太路" "14:39:00" 9388 46 "S011000015200100" "鈴木宅前" "14:39:00"
234 "T0110000241" "R011000018" 263.7152706961544 4.395254511602573 9391 49 "S011000014900100" "天野宅前" "14:46:00" 9392 50 "S011000014700100" "浜鬼志別シネシンコ" "14:46:00"
234 "T0110000241" "R011000018" 164.44124750591072 2.7406874584318452 9406 64 "S011000013700100" "さるふつ公園前" "15:21:00" 9407 65 "S011000013600100" "恵山辺" "15:21:00"
234 "T0110000241" "R011000018" 157.87421446340338 2.6312369077233897 9416 74 "S011000012700100" "飛行場前" "15:52:00" 9417 75 "S011000012600100" "安別" "15:52:00"
234 "T0110000241" "R011000018" 281.1906815888044 4.686511359813407 9418 76 "S011000012500100" "山軽" "15:52:00" 9419 77 "S011000012400100" "よつ葉乳業前" "15:52:00"
229 "T0110000236" "R011000018" 285.8814886535352 4.7646914775589195 9096 5 "S011000012400200" "よつ葉乳業前" "13:39:00" 9097 6 "S011000012500200" "山軽" "13:39:00"
229 "T0110000236" "R011000018" 257.25226566320066 4.287537761053344 9101 10 "S011000012900200" "浅茅野" "13:54:00" 9102 11 "S011000013000100" "生産団地前" "13:54:00"
229 "T0110000236" "R011000018" 163.52664459832638 2.7254440766387726 9104 13 "S011000013200100" "猿払" "14:07:00" 9105 14 "S011000013300100" "芦野高台" "14:07:00"
229 "T0110000236" "R011000018" 263.70636748509094 4.395106124751516 9123 32 "S011000014700200" "浜鬼志別シネシンコ" "14:44:00" 9124 33 "S011000014900200" "天野宅前" "14:44:00"
229 "T0110000236" "R011000018" 153.4235159375471 2.5570585989591184 9127 36 "S011000015200200" "鈴木宅前" "14:53:00" 9128 37 "S011000015300200" "苗太路" "14:53:00"
229 "T0110000236" "R011000018" 257.2362064123041 4.287270106871735 9149 58 "S011000017400200" "増幌入口" "15:40:00" 9150 59 "S011000017500200" "メグマ原生花園" "15:40:00"
230 "T0110000237" "R011000018" 285.8814886535352 4.7646914775589195 9181 6 "S011000012400200" "よつ葉乳業前" "17:36:00" 9182 7 "S011000012500200" "山軽" "17:36:00"
230 "T0110000237" "R011000018" 257.25226566320066 4.287537761053344 9186 11 "S011000012900200" "浅茅野" "17:51:00" 9187 12 "S011000013000100" "生産団地前" "17:51:00"
230 "T0110000237" "R011000018" 163.52664459832638 2.7254440766387726 9189 14 "S011000013200100" "猿払" "18:04:00" 9190 15 "S011000013300100" "芦野高台" "18:04:00"
236 "T0110000243" "R011000018" 169.99306805343824 2.8332178008906377 9552 44 "S011000015400100" "東浦" "20:39:00" 9553 45 "S011000015300100" "苗太路" "20:39:00"
236 "T0110000243" "R011000018" 154.28692675039375 2.5714487791732292 9553 45 "S011000015300100" "苗太路" "20:39:00" 9554 46 "S011000015200100" "鈴木宅前" "20:39:00"
236 "T0110000243" "R011000018" 263.7152706961544 4.395254511602573 9557 49 "S011000014900100" "天野宅前" "20:46:00" 9558 50 "S011000014700100" "浜鬼志別シネシンコ" "20:46:00"
228 "T0110000235" "R011000018" 285.8814886535352 4.7646914775589195 9012 5 "S011000012400200" "よつ葉乳業前" "08:54:00" 9013 6 "S011000012500200" "山軽" "08:54:00"
228 "T0110000235" "R011000018" 257.25226566320066 4.287537761053344 9017 10 "S011000012900200" "浅茅野" "09:09:00" 9018 11 "S011000013000100" "生産団地前" "09:09:00"
228 "T0110000235" "R011000018" 163.52664459832638 2.7254440766387726 9020 13 "S011000013200100" "猿払" "09:22:00" 9021 14 "S011000013300100" "芦野高台" "09:22:00"
228 "T0110000235" "R011000018" 263.70636748509094 4.395106124751516 9039 32 "S011000014700200" "浜鬼志別シネシンコ" "10:29:00" 9040 33 "S011000014900200" "天野宅前" "10:29:00"
228 "T0110000235" "R011000018" 153.4235159375471 2.5570585989591184 9043 36 "S011000015200200" "鈴木宅前" "10:38:00" 9044 37 "S011000015300200" "苗太路" "10:38:00"
228 "T0110000235" "R011000018" 257.2362064123041 4.287270106871735 9065 58 "S011000017400200" "増幌入口" "11:25:00" 9066 59 "S011000017500200" "メグマ原生花園" "11:25:00"
226 "T0110000233" "R011000018" 263.70636748509094 4.395106124751516 8894 6 "S011000014700200" "浜鬼志別シネシンコ" "06:46:00" 8895 7 "S011000014900200" "天野宅前" "06:46:00"
226 "T0110000233" "R011000018" 153.4235159375471 2.5570585989591184 8898 10 "S011000015200200" "鈴木宅前" "06:55:00" 8899 11 "S011000015300200" "苗太路" "06:55:00"
226 "T0110000233" "R011000018" 257.2362064123041 4.287270106871735 8920 32 "S011000017400200" "増幌入口" "07:42:00" 8921 33 "S011000017500200" "メグマ原生花園" "07:42:00"
227 "T0110000234" "R011000018" 263.70636748509094 4.395106124751516 8955 6 "S011000014700200" "浜鬼志別シネシンコ" "08:09:00" 8956 7 "S011000014900200" "天野宅前" "08:09:00"
227 "T0110000234" "R011000018" 153.4235159375471 2.5570585989591184 8959 10 "S011000015200200" "鈴木宅前" "08:18:00" 8960 11 "S011000015300200" "苗太路" "08:18:00"
227 "T0110000234" "R011000018" 257.2362064123041 4.287270106871735 8981 32 "S011000017400200" "増幌入口" "09:05:00" 8982 33 "S011000017500200" "メグマ原生花園" "09:05:00"
232 "T0110000239" "R011000018" 164.44124750591072 2.7406874584318452 9239 8 "S011000013700100" "さるふつ公園前" "07:26:00" 9240 9 "S011000013600100" "恵山辺" "07:26:00"
232 "T0110000239" "R011000018" 157.87421446340338 2.6312369077233897 9249 18 "S011000012700100" "飛行場前" "07:57:00" 9250 19 "S011000012600100" "安別" "07:57:00"
232 "T0110000239" "R011000018" 281.1906815888044 4.686511359813407 9251 20 "S011000012500100" "山軽" "07:57:00" 9252 21 "S011000012400100" "よつ葉乳業前" "07:57:00"
fast_travel_between_far_stops WARNING 4

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.
235 "T0110000242" "R011000018" 153.4570815888548 12.788090132404568 9497 72 "S011000012900100" "浅茅野" "18:27:00" 9502 77 "S011000012400100" "よつ葉乳業前" "18:31:00"
233 "T0110000240" "R011000018" 153.4570815888548 12.788090132404568 9331 72 "S011000012900100" "浅茅野" "11:58:00" 9336 77 "S011000012400100" "よつ葉乳業前" "12:02:00"
234 "T0110000241" "R011000018" 153.4570815888548 12.788090132404568 9414 72 "S011000012900100" "浅茅野" "15:48:00" 9419 77 "S011000012400100" "よつ葉乳業前" "15:52:00"
232 "T0110000239" "R011000018" 153.4570815888548 12.788090132404568 9247 16 "S011000012900100" "浅茅野" "07:53:00" 9252 21 "S011000012400100" "よつ葉乳業前" "07:57:00"
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
missing_recommended_field WARNING 4803

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.

Only the first 50 of 4803 affected records are displayed below.

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"
"fare_attributes.txt" 3 "agency_id"
"fare_attributes.txt" 4 "agency_id"
"fare_attributes.txt" 5 "agency_id"
"fare_attributes.txt" 6 "agency_id"
"fare_attributes.txt" 7 "agency_id"
"fare_attributes.txt" 8 "agency_id"
"fare_attributes.txt" 9 "agency_id"
"fare_attributes.txt" 10 "agency_id"
"fare_attributes.txt" 11 "agency_id"
"fare_attributes.txt" 12 "agency_id"
"fare_attributes.txt" 13 "agency_id"
"fare_attributes.txt" 14 "agency_id"
"fare_attributes.txt" 15 "agency_id"
"fare_attributes.txt" 16 "agency_id"
"fare_attributes.txt" 17 "agency_id"
"fare_attributes.txt" 18 "agency_id"
"fare_attributes.txt" 19 "agency_id"
"fare_attributes.txt" 20 "agency_id"
"fare_attributes.txt" 21 "agency_id"
"fare_attributes.txt" 22 "agency_id"
"fare_attributes.txt" 23 "agency_id"
"fare_attributes.txt" 24 "agency_id"
"fare_attributes.txt" 25 "agency_id"
"fare_attributes.txt" 26 "agency_id"
"fare_attributes.txt" 27 "agency_id"
"fare_attributes.txt" 28 "agency_id"
"fare_attributes.txt" 29 "agency_id"
"fare_attributes.txt" 30 "agency_id"
"fare_attributes.txt" 31 "agency_id"
"fare_attributes.txt" 32 "agency_id"
"fare_attributes.txt" 33 "agency_id"
"fare_attributes.txt" 34 "agency_id"
"fare_attributes.txt" 35 "agency_id"
"fare_attributes.txt" 36 "agency_id"
"fare_attributes.txt" 37 "agency_id"
"fare_attributes.txt" 38 "agency_id"
"fare_attributes.txt" 39 "agency_id"
"fare_attributes.txt" 40 "agency_id"
"fare_attributes.txt" 41 "agency_id"
"fare_attributes.txt" 42 "agency_id"
"fare_attributes.txt" 43 "agency_id"
"fare_attributes.txt" 44 "agency_id"
"fare_attributes.txt" 45 "agency_id"
"fare_attributes.txt" 46 "agency_id"
"fare_attributes.txt" 47 "agency_id"
"fare_attributes.txt" 48 "agency_id"
"fare_attributes.txt" 49 "agency_id"
"fare_attributes.txt" 50 "agency_id"
"fare_attributes.txt" 51 "agency_id"
missing_timepoint_value WARNING 9563

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 9563 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "T0110000001" 0
3 "T0110000001" 1
4 "T0110000001" 2
5 "T0110000001" 3
6 "T0110000001" 4
7 "T0110000001" 5
8 "T0110000001" 6
9 "T0110000001" 7
10 "T0110000001" 8
11 "T0110000001" 9
12 "T0110000001" 10
13 "T0110000001" 11
14 "T0110000001" 12
15 "T0110000001" 13
16 "T0110000001" 14
17 "T0110000001" 15
18 "T0110000001" 16
19 "T0110000001" 17
20 "T0110000001" 18
21 "T0110000001" 19
22 "T0110000001" 20
23 "T0110000001" 21
24 "T0110000001" 22
25 "T0110000001" 23
26 "T0110000001" 24
27 "T0110000001" 25
28 "T0110000001" 26
29 "T0110000001" 27
30 "T0110000001" 28
31 "T0110000001" 29
32 "T0110000001" 30
33 "T0110000001" 31
34 "T0110000001" 32
35 "T0110000001" 33
36 "T0110000001" 34
37 "T0110000001" 35
38 "T0110000001" 36
39 "T0110000001" 37
40 "T0110000001" 38
41 "T0110000001" 39
42 "T0110000001" 40
43 "T0110000001" 41
44 "T0110000001" 42
45 "T0110000001" 43
46 "T0110000001" 44
47 "T0110000001" 45
48 "T0110000001" 46
49 "T0110000001" 47
50 "T0110000001" 48
51 "T0110000001" 49
mixed_case_recommended_field WARNING 211

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 211 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.
"routes.txt" "route_long_name" "※12/11声問線" 2
"routes.txt" "route_long_name" "12/11声問線" 3
"routes.txt" "route_long_name" "13富士見線" 4
"routes.txt" "route_long_name" "17市内線" 5
"routes.txt" "route_long_name" "18緑町線" 6
"routes.txt" "route_long_name" "1市内線" 7
"routes.txt" "route_long_name" "20緑町線" 8
"routes.txt" "route_long_name" "21緑町線" 9
"routes.txt" "route_long_name" "22富岡循環線" 10
"routes.txt" "route_long_name" "25緑町線" 11
"routes.txt" "route_long_name" "2富岡循環線" 12
"routes.txt" "route_long_name" "30坂の下線" 13
"routes.txt" "route_long_name" "31坂の下線" 14
"routes.txt" "route_long_name" "3富岡線" 15
"routes.txt" "route_long_name" "5富岡線" 16
"routes.txt" "route_long_name" "6緑町線" 17
"stops.txt" "stop_name" "ノシャップ1丁目" 4
"stops.txt" "stop_name" "ノシャップ1丁目" 5
"stops.txt" "stop_name" "恵比須5丁目" 6
"stops.txt" "stop_name" "恵比須5丁目" 7
"stops.txt" "stop_name" "恵比須4丁目" 8
"stops.txt" "stop_name" "恵比須4丁目" 9
"stops.txt" "stop_name" "恵比須3丁目" 10
"stops.txt" "stop_name" "恵比須3丁目" 11
"stops.txt" "stop_name" "恵比須1丁目" 12
"stops.txt" "stop_name" "恵比須1丁目" 13
"stops.txt" "stop_name" "宝来4丁目" 14
"stops.txt" "stop_name" "宝来4丁目" 15
"stops.txt" "stop_name" "宝来3丁目" 16
"stops.txt" "stop_name" "宝来3丁目" 17
"stops.txt" "stop_name" "宝来2丁目" 18
"stops.txt" "stop_name" "宝来2丁目" 19
"stops.txt" "stop_name" "中央4丁目" 23
"stops.txt" "stop_name" "中央4丁目" 24
"stops.txt" "stop_name" "大黒3丁目" 35
"stops.txt" "stop_name" "大黒3丁目" 36
"stops.txt" "stop_name" "大黒5丁目" 37
"stops.txt" "stop_name" "大黒5丁目" 38
"stops.txt" "stop_name" "潮見1丁目" 39
"stops.txt" "stop_name" "潮見1丁目" 40
"stops.txt" "stop_name" "潮見3丁目" 41
"stops.txt" "stop_name" "潮見3丁目" 42
"stops.txt" "stop_name" "潮見4丁目" 43
"stops.txt" "stop_name" "潮見4丁目" 44
"stops.txt" "stop_name" "潮見5丁目" 45
"stops.txt" "stop_name" "はまなす1丁目" 46
"stops.txt" "stop_name" "はまなす1丁目" 47
"stops.txt" "stop_name" "はまなす3丁目" 50
"stops.txt" "stop_name" "はまなす3丁目" 51
"stops.txt" "stop_name" "はまなす4丁目" 52
platform_without_parent_station INFO 3

platform_without_parent_station

A platform has no parent_station field set.

This is different from location_without_parent_station since it is less severe.

You can see more about this notice here.

csvRowNumber (?) Row number of the faulty record. stopId (?) The id of the faulty record. stopName (?) The stop name of the faulty record.
303 "S011000018100100" "稚内駅前ターミナル"
304 "S011000018100200" "稚内駅前ターミナル"
305 "S011000018100300" "稚内駅前ターミナル"
unknown_column INFO 5

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.
"routes.txt" "jp_parent_route_id" 10
"trips.txt" "jp_trip_desc" 11
"trips.txt" "jp_trip_desc_symbol" 12
"trips.txt" "jp_office_id" 13
"trips.txt" "jp_pattern_id" 14
unknown_file INFO 5

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"agency_jp.txt"
"change_name.txt"
"pass_attributes.txt"
"pass_rules.txt"
"pattern_jp.txt"