soya-bus — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-27T15:23:04Z,
for the dataset file:///shared/soya-bus_f476df77.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:
Japanese
Feed Start Date:
2025-12-06
Feed End Date:
2026-12-05

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. routes.txt
  8. stop_times.txt
  9. stops.txt
  10. translations.txt
  11. trips.txt

Counts


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

Specification Compliance report

5069 notices reported (0 errors, 5066 warnings, 3 infos)

Notice Code Severity Total
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.
236 "1442-T0110000243" "1442-R011000018" 169.99476793328785 2.8332461322214644 9552 44 "1442-S011000015400100" "東浦" "20:39:00" 9553 45 "1442-S011000015300100" "苗太路" "20:39:00"
236 "1442-T0110000243" "1442-R011000018" 154.2874267276631 2.5714571121277188 9553 45 "1442-S011000015300100" "苗太路" "20:39:00" 9554 46 "1442-S011000015200100" "鈴木宅前" "20:39:00"
236 "1442-T0110000243" "1442-R011000018" 263.7170650625372 4.395284417708953 9557 49 "1442-S011000014900100" "天野宅前" "20:46:00" 9558 50 "1442-S011000014700100" "浜鬼志別シネシンコ" "20:46:00"
226 "1442-T0110000233" "1442-R011000018" 263.7083607834078 4.395139346390129 8894 6 "1442-S011000014700200" "浜鬼志別シネシンコ" "06:46:00" 8895 7 "1442-S011000014900200" "天野宅前" "06:46:00"
226 "1442-T0110000233" "1442-R011000018" 153.42661052863005 2.5571101754771672 8898 10 "1442-S011000015200200" "鈴木宅前" "06:55:00" 8899 11 "1442-S011000015300200" "苗太路" "06:55:00"
226 "1442-T0110000233" "1442-R011000018" 257.2356588344915 4.2872609805748585 8920 32 "1442-S011000017400200" "増幌入口" "07:42:00" 8921 33 "1442-S011000017500200" "メグマ原生花園" "07:42:00"
235 "1442-T0110000242" "1442-R011000018" 169.99476793328785 2.8332461322214644 9469 44 "1442-S011000015400100" "東浦" "17:21:00" 9470 45 "1442-S011000015300100" "苗太路" "17:21:00"
235 "1442-T0110000242" "1442-R011000018" 154.2874267276631 2.5714571121277188 9470 45 "1442-S011000015300100" "苗太路" "17:21:00" 9471 46 "1442-S011000015200100" "鈴木宅前" "17:21:00"
235 "1442-T0110000242" "1442-R011000018" 263.7170650625372 4.395284417708953 9474 49 "1442-S011000014900100" "天野宅前" "17:28:00" 9475 50 "1442-S011000014700100" "浜鬼志別シネシンコ" "17:28:00"
235 "1442-T0110000242" "1442-R011000018" 164.4456156321189 2.7407602605353145 9489 64 "1442-S011000013700100" "さるふつ公園前" "18:00:00" 9490 65 "1442-S011000013600100" "恵山辺" "18:00:00"
235 "1442-T0110000242" "1442-R011000018" 157.87122339731008 2.6311870566218345 9499 74 "1442-S011000012700100" "飛行場前" "18:31:00" 9500 75 "1442-S011000012600100" "安別" "18:31:00"
235 "1442-T0110000242" "1442-R011000018" 281.19062795942494 4.686510465990415 9501 76 "1442-S011000012500100" "山軽" "18:31:00" 9502 77 "1442-S011000012400100" "よつ葉乳業前" "18:31:00"
234 "1442-T0110000241" "1442-R011000018" 169.99476793328785 2.8332461322214644 9386 44 "1442-S011000015400100" "東浦" "14:39:00" 9387 45 "1442-S011000015300100" "苗太路" "14:39:00"
234 "1442-T0110000241" "1442-R011000018" 154.2874267276631 2.5714571121277188 9387 45 "1442-S011000015300100" "苗太路" "14:39:00" 9388 46 "1442-S011000015200100" "鈴木宅前" "14:39:00"
234 "1442-T0110000241" "1442-R011000018" 263.7170650625372 4.395284417708953 9391 49 "1442-S011000014900100" "天野宅前" "14:46:00" 9392 50 "1442-S011000014700100" "浜鬼志別シネシンコ" "14:46:00"
234 "1442-T0110000241" "1442-R011000018" 164.4456156321189 2.7407602605353145 9406 64 "1442-S011000013700100" "さるふつ公園前" "15:21:00" 9407 65 "1442-S011000013600100" "恵山辺" "15:21:00"
234 "1442-T0110000241" "1442-R011000018" 157.87122339731008 2.6311870566218345 9416 74 "1442-S011000012700100" "飛行場前" "15:52:00" 9417 75 "1442-S011000012600100" "安別" "15:52:00"
234 "1442-T0110000241" "1442-R011000018" 281.19062795942494 4.686510465990415 9418 76 "1442-S011000012500100" "山軽" "15:52:00" 9419 77 "1442-S011000012400100" "よつ葉乳業前" "15:52:00"
229 "1442-T0110000236" "1442-R011000018" 285.8821602012553 4.764702670020922 9096 5 "1442-S011000012400200" "よつ葉乳業前" "13:39:00" 9097 6 "1442-S011000012500200" "山軽" "13:39:00"
229 "1442-T0110000236" "1442-R011000018" 257.25364649230767 4.287560774871794 9101 10 "1442-S011000012900200" "浅茅野" "13:54:00" 9102 11 "1442-S011000013000100" "生産団地前" "13:54:00"
229 "1442-T0110000236" "1442-R011000018" 163.53034730594774 2.7255057884324625 9104 13 "1442-S011000013200100" "猿払" "14:07:00" 9105 14 "1442-S011000013300100" "芦野高台" "14:07:00"
229 "1442-T0110000236" "1442-R011000018" 263.7083607834078 4.395139346390129 9123 32 "1442-S011000014700200" "浜鬼志別シネシンコ" "14:44:00" 9124 33 "1442-S011000014900200" "天野宅前" "14:44:00"
229 "1442-T0110000236" "1442-R011000018" 153.42661052863005 2.5571101754771672 9127 36 "1442-S011000015200200" "鈴木宅前" "14:53:00" 9128 37 "1442-S011000015300200" "苗太路" "14:53:00"
229 "1442-T0110000236" "1442-R011000018" 257.2356588344915 4.2872609805748585 9149 58 "1442-S011000017400200" "増幌入口" "15:40:00" 9150 59 "1442-S011000017500200" "メグマ原生花園" "15:40:00"
228 "1442-T0110000235" "1442-R011000018" 285.8821602012553 4.764702670020922 9012 5 "1442-S011000012400200" "よつ葉乳業前" "08:54:00" 9013 6 "1442-S011000012500200" "山軽" "08:54:00"
228 "1442-T0110000235" "1442-R011000018" 257.25364649230767 4.287560774871794 9017 10 "1442-S011000012900200" "浅茅野" "09:09:00" 9018 11 "1442-S011000013000100" "生産団地前" "09:09:00"
228 "1442-T0110000235" "1442-R011000018" 163.53034730594774 2.7255057884324625 9020 13 "1442-S011000013200100" "猿払" "09:22:00" 9021 14 "1442-S011000013300100" "芦野高台" "09:22:00"
228 "1442-T0110000235" "1442-R011000018" 263.7083607834078 4.395139346390129 9039 32 "1442-S011000014700200" "浜鬼志別シネシンコ" "10:29:00" 9040 33 "1442-S011000014900200" "天野宅前" "10:29:00"
228 "1442-T0110000235" "1442-R011000018" 153.42661052863005 2.5571101754771672 9043 36 "1442-S011000015200200" "鈴木宅前" "10:38:00" 9044 37 "1442-S011000015300200" "苗太路" "10:38:00"
228 "1442-T0110000235" "1442-R011000018" 257.2356588344915 4.2872609805748585 9065 58 "1442-S011000017400200" "増幌入口" "11:25:00" 9066 59 "1442-S011000017500200" "メグマ原生花園" "11:25:00"
231 "1442-T0110000238" "1442-R011000018" 285.8821602012553 4.764702670020922 9209 6 "1442-S011000012400200" "よつ葉乳業前" "19:21:00" 9210 7 "1442-S011000012500200" "山軽" "19:21:00"
231 "1442-T0110000238" "1442-R011000018" 257.25364649230767 4.287560774871794 9214 11 "1442-S011000012900200" "浅茅野" "19:36:00" 9215 12 "1442-S011000013000100" "生産団地前" "19:36:00"
231 "1442-T0110000238" "1442-R011000018" 163.53034730594774 2.7255057884324625 9217 14 "1442-S011000013200100" "猿払" "19:49:00" 9218 15 "1442-S011000013300100" "芦野高台" "19:49:00"
232 "1442-T0110000239" "1442-R011000018" 164.4456156321189 2.7407602605353145 9239 8 "1442-S011000013700100" "さるふつ公園前" "07:26:00" 9240 9 "1442-S011000013600100" "恵山辺" "07:26:00"
232 "1442-T0110000239" "1442-R011000018" 157.87122339731008 2.6311870566218345 9249 18 "1442-S011000012700100" "飛行場前" "07:57:00" 9250 19 "1442-S011000012600100" "安別" "07:57:00"
232 "1442-T0110000239" "1442-R011000018" 281.19062795942494 4.686510465990415 9251 20 "1442-S011000012500100" "山軽" "07:57:00" 9252 21 "1442-S011000012400100" "よつ葉乳業前" "07:57:00"
233 "1442-T0110000240" "1442-R011000018" 169.99476793328785 2.8332461322214644 9303 44 "1442-S011000015400100" "東浦" "10:39:00" 9304 45 "1442-S011000015300100" "苗太路" "10:39:00"
233 "1442-T0110000240" "1442-R011000018" 154.2874267276631 2.5714571121277188 9304 45 "1442-S011000015300100" "苗太路" "10:39:00" 9305 46 "1442-S011000015200100" "鈴木宅前" "10:39:00"
233 "1442-T0110000240" "1442-R011000018" 263.7170650625372 4.395284417708953 9308 49 "1442-S011000014900100" "天野宅前" "10:46:00" 9309 50 "1442-S011000014700100" "浜鬼志別シネシンコ" "10:46:00"
233 "1442-T0110000240" "1442-R011000018" 164.4456156321189 2.7407602605353145 9323 64 "1442-S011000013700100" "さるふつ公園前" "11:31:00" 9324 65 "1442-S011000013600100" "恵山辺" "11:31:00"
233 "1442-T0110000240" "1442-R011000018" 157.87122339731008 2.6311870566218345 9333 74 "1442-S011000012700100" "飛行場前" "12:02:00" 9334 75 "1442-S011000012600100" "安別" "12:02:00"
233 "1442-T0110000240" "1442-R011000018" 281.19062795942494 4.686510465990415 9335 76 "1442-S011000012500100" "山軽" "12:02:00" 9336 77 "1442-S011000012400100" "よつ葉乳業前" "12:02:00"
230 "1442-T0110000237" "1442-R011000018" 285.8821602012553 4.764702670020922 9181 6 "1442-S011000012400200" "よつ葉乳業前" "17:36:00" 9182 7 "1442-S011000012500200" "山軽" "17:36:00"
230 "1442-T0110000237" "1442-R011000018" 257.25364649230767 4.287560774871794 9186 11 "1442-S011000012900200" "浅茅野" "17:51:00" 9187 12 "1442-S011000013000100" "生産団地前" "17:51:00"
230 "1442-T0110000237" "1442-R011000018" 163.53034730594774 2.7255057884324625 9189 14 "1442-S011000013200100" "猿払" "18:04:00" 9190 15 "1442-S011000013300100" "芦野高台" "18:04:00"
227 "1442-T0110000234" "1442-R011000018" 263.7083607834078 4.395139346390129 8955 6 "1442-S011000014700200" "浜鬼志別シネシンコ" "08:09:00" 8956 7 "1442-S011000014900200" "天野宅前" "08:09:00"
227 "1442-T0110000234" "1442-R011000018" 153.42661052863005 2.5571101754771672 8959 10 "1442-S011000015200200" "鈴木宅前" "08:18:00" 8960 11 "1442-S011000015300200" "苗太路" "08:18:00"
227 "1442-T0110000234" "1442-R011000018" 257.2356588344915 4.2872609805748585 8981 32 "1442-S011000017400200" "増幌入口" "09:05:00" 8982 33 "1442-S011000017500200" "メグマ原生花園" "09:05:00"
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 "1442-T0110000242" "1442-R011000018" 153.45721232798323 12.788101027331937 9497 72 "1442-S011000012900100" "浅茅野" "18:27:00" 9502 77 "1442-S011000012400100" "よつ葉乳業前" "18:31:00"
234 "1442-T0110000241" "1442-R011000018" 153.45721232798323 12.788101027331937 9414 72 "1442-S011000012900100" "浅茅野" "15:48:00" 9419 77 "1442-S011000012400100" "よつ葉乳業前" "15:52:00"
232 "1442-T0110000239" "1442-R011000018" 153.45721232798323 12.788101027331937 9247 16 "1442-S011000012900100" "浅茅野" "07:53:00" 9252 21 "1442-S011000012400100" "よつ葉乳業前" "07:57:00"
233 "1442-T0110000240" "1442-R011000018" 153.45721232798323 12.788101027331937 9331 72 "1442-S011000012900100" "浅茅野" "11:58:00" 9336 77 "1442-S011000012400100" "よつ葉乳業前" "12:02:00"
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"
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_short_name" "※12/11声問線" 2
"routes.txt" "route_short_name" "12/11声問線" 3
"routes.txt" "route_short_name" "13富士見線" 4
"routes.txt" "route_short_name" "17市内線" 5
"routes.txt" "route_short_name" "18緑町線" 6
"routes.txt" "route_short_name" "1市内線" 7
"routes.txt" "route_short_name" "20緑町線" 8
"routes.txt" "route_short_name" "21緑町線" 9
"routes.txt" "route_short_name" "22富岡循環線" 10
"routes.txt" "route_short_name" "25緑町線" 11
"routes.txt" "route_short_name" "2富岡循環線" 12
"routes.txt" "route_short_name" "30坂の下線" 13
"routes.txt" "route_short_name" "31坂の下線" 14
"routes.txt" "route_short_name" "3富岡線" 15
"routes.txt" "route_short_name" "5富岡線" 16
"routes.txt" "route_short_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 "1442-S011000018100100" "稚内駅前ターミナル"
304 "1442-S011000018100200" "稚内駅前ターミナル"
305 "1442-S011000018100300" "稚内駅前ターミナル"