kyotobus-anotherversion — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-27T21:45:59Z,
for the dataset file:///shared/kyotobus-anotherversion_88abb48c.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
京都バス
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-03-21
Feed End Date:
2026-04-05

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. office_jp.txt
  8. pattern_jp.txt
  9. routes.txt
  10. shapes.txt
  11. stop_times.txt
  12. stops.txt
  13. translations.txt
  14. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 51
  • Shapes: 0
  • Stops: 624
  • Trips: 4306

Specification Compliance report

4041 notices reported (0 errors, 4029 warnings, 12 infos)

Notice Code Severity Total
feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

Dataset should cover at least the next 30 days of service.

At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally for as long as the operator is confident that the schedule will continue to be operated.

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 "20260327" "20260405" "20260426"
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 81

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 81 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 3946

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 3946 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.
"stops.txt" "stop_name" "上終町・瓜生山学園京都芸術大学前" 3
"stops.txt" "stop_name" "東山三条(地下鉄東山駅)" 7
"stops.txt" "stop_name" "東山三条(地下鉄東山駅)" 8
"stops.txt" "stop_name" "烏丸北大路(北大路駅)" 41
"stops.txt" "stop_name" "烏丸北大路(北大路駅)" 42
"stops.txt" "stop_name" "文化庁前・府庁前" 51
"stops.txt" "stop_name" "文化庁前・府庁前" 52
"stops.txt" "stop_name" "西ノ京円町(JR円町駅)" 84
"stops.txt" "stop_name" "西ノ京円町(JR円町駅)" 85
"stops.txt" "stop_name" "左京区総合庁舎・京都工芸繊維大学前" 105
"stops.txt" "stop_name" "嵐山天龍寺前(嵐電嵐山駅)" 130
"stops.txt" "stop_name" "嵐山天龍寺前(嵐電嵐山駅)" 131
"stops.txt" "stop_name" "東山二条・岡崎公園口" 170
"stops.txt" "stop_name" "東山二条・岡崎公園口" 171
"stops.txt" "stop_name" "烏丸今出川(地下鉄今出川駅)" 184
"stops.txt" "stop_name" "烏丸丸太町(地下鉄丸太町駅)" 189
"stops.txt" "stop_name" "烏丸丸太町(地下鉄丸太町駅)" 190
"stops.txt" "stop_name" "烏丸丸太町(地下鉄丸太町駅)" 191
"stops.txt" "stop_name" "四条烏丸(地下鉄四条駅)" 196
"stops.txt" "stop_name" "四条烏丸(地下鉄四条駅)" 197
"stops.txt" "stop_name" "四条烏丸(地下鉄四条駅)" 198
"stops.txt" "stop_name" "四条烏丸(地下鉄四条駅)" 199
"stops.txt" "stop_name" "烏丸五条(地下鉄五条駅)" 204
"stops.txt" "stop_name" "烏丸五条(地下鉄五条駅)" 205
"stops.txt" "stop_name" "烏丸五条(地下鉄五条駅)" 206
"stops.txt" "stop_name" "市原(上野中)" 265
"stops.txt" "stop_name" "市原(上野中)" 266
"stops.txt" "stop_name" "苔寺・すず虫寺" 307
"stops.txt" "stop_name" "野村別れ(里の駅大原)" 378
"stops.txt" "stop_name" "野村別れ(里の駅大原)" 379
"stops.txt" "stop_name" "ロテル・ド・比叡" 431
"stops.txt" "stop_name" "花友はなせ・診療所前" 516
"stops.txt" "stop_name" "花友はなせ・診療所前" 517
"stops.txt" "stop_name" "西幡枝(円通寺前)" 518
"stops.txt" "stop_name" "西幡枝(円通寺前)" 519
"stops.txt" "stop_name" "京都産大 本山寮前" 525
"stops.txt" "stop_name" "西大路四条(阪急・嵐電西院駅)" 526
"stops.txt" "stop_name" "西大路四条(阪急・嵐電西院駅)" 527
"stops.txt" "stop_name" "幡枝(妙満寺)" 534
"stops.txt" "stop_name" "幡枝(妙満寺)" 535
"stops.txt" "stop_name" "北大路バスターミナル(地下鉄北大路駅)" 540
"stops.txt" "stop_name" "常盤・嵯峨野高校前" 543
"stops.txt" "stop_name" "常盤・嵯峨野高校前" 544
"stops.txt" "stop_name" "御薗口町(上賀茂神社前)" 570
"stops.txt" "stop_name" "御薗口町(上賀茂神社前)" 571
"routes.txt" "route_long_name" "神宮丸太町駅(河原町丸太町)~嵯峨瀬戸川町" 2
"routes.txt" "route_long_name" "京都駅前~高野橋東詰" 3
"routes.txt" "route_long_name" "【岩倉下在地町経由】国際会館駅前→岩倉下在地町→岩倉実相院" 4
"routes.txt" "route_long_name" "高野車庫→国際会館駅前" 5
"routes.txt" "route_long_name" "静原下の町→市原" 6
platform_without_parent_station INFO 4

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.
606 "91_1" "国際会館駅前"
607 "91_2" "国際会館駅前"
608 "91_3" "国際会館駅前"
609 "91_4" "国際会館駅前"
unknown_column INFO 6

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
"shapes.txt" "shape_dist_traveleded" 5
unknown_file INFO 2

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"pattern_jp.txt"
"office_jp.txt"