GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T20:33:56Z,
for the dataset file:///shared/highway4.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

  • 北海道拓殖バス株式会社(他社共同運行路線)

Feed Info

Publisher Name:
北海道拓殖バス株式会社
Publisher URL:
https://www.takubus.com/
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2022-10-30
Feed End Date:
2023-10-29

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. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. translations.txt
  12. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 7
  • Shapes: 20
  • Stops: 111
  • Trips: 46

Specification Compliance report

1989 notices reported (2 errors, 1977 warnings, 10 infos)

Notice Code Severity Total
duplicate_key ERROR 2

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

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.
"calendar_dates.txt" 308 309 "service_id,date" "空H,20221230"
"calendar_dates.txt" 340 341 "service_id,date" "空H,20230130"
expired_calendar WARNING 1

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.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "通年"
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" "20231029" "20251212"
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 40

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.

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"
mixed_case_recommended_field WARNING 86

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 86 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.
"agency.txt" "agency_name" "北海道拓殖バス株式会社(他社共同運行路線)" 2
"routes.txt" "route_long_name" "帯広空港連絡バス（市内ホテル周り）" 2
"routes.txt" "route_desc" "【十勝バス便】市内ホテル～帯広空港" 2
"routes.txt" "route_long_name" "ポテトライナー(芽室経由)" 3
"routes.txt" "route_desc" "【他社便】帯広～芽室～札幌" 3
"routes.txt" "route_long_name" "ポテトライナー(直行便)" 4
"routes.txt" "route_desc" "【他社便】《直行》帯広～札幌" 4
"routes.txt" "route_long_name" "ノースライナー(三国峠経由)" 5
"routes.txt" "route_desc" "【道北バス便】帯広～三国峠～旭川" 5
"routes.txt" "route_long_name" "ポテトライナー(音更経由)" 6
"routes.txt" "route_desc" "帯広～音更～札幌" 6
"routes.txt" "route_long_name" "ノースライナー(狩勝峠経由)" 7
"routes.txt" "route_desc" "帯広～狩勝峠～旭川" 7
"routes.txt" "route_desc" "十勝川温泉・帯広～釧路空港" 8
"stops.txt" "stop_name" "北2条西3丁目" 9
"stops.txt" "stop_name" "清水（南4条10丁目）" 15
"stops.txt" "stop_name" "清水（南4条10丁目）" 16
"stops.txt" "stop_name" "士幌（道の駅ピア21しほろ）" 17
"stops.txt" "stop_name" "士幌（道の駅ピア21しほろ）" 18
"stops.txt" "stop_name" "当麻20丁目" 35
"stops.txt" "stop_name" "当麻20丁目" 36
"stops.txt" "stop_name" "永山2条19丁目" 37
"stops.txt" "stop_name" "永山2条19丁目" 38
"stops.txt" "stop_name" "4条18丁目（旭川4条駅）" 39
"stops.txt" "stop_name" "4条18丁目（旭川4条駅）" 40
"stops.txt" "stop_name" "柏林台南町2丁目" 48
"stops.txt" "stop_name" "柏林台南町2丁目" 49
"stops.txt" "stop_name" "木野大通16丁目" 52
"stops.txt" "stop_name" "木野大通16丁目" 53
"stops.txt" "stop_name" "音更大通11丁目" 54
"stops.txt" "stop_name" "音更大通11丁目" 55
"stops.txt" "stop_name" "音更大通11丁目" 56
"stops.txt" "stop_name" "CABIN帯広・ふく井ホテル前" 67
"stops.txt" "stop_name" "CABIN帯広・ふく井ホテル前" 68
"stops.txt" "stop_name" "清水（役場前）" 77
"stops.txt" "stop_name" "清水（役場前）" 78
"stops.txt" "stop_name" "南郷18丁目駅" 81
"stops.txt" "stop_name" "札幌駅前（ホクレンビル前）" 87
"stops.txt" "stop_name" "道の駅南ふらの（幾寅物産センター）" 92
"stops.txt" "stop_name" "美瑛（国道）" 101
"stops.txt" "stop_name" "美瑛（国道）" 102
"stops.txt" "stop_name" "神楽4条8丁目" 105
"stops.txt" "stop_name" "神楽4条8丁目" 106
"trips.txt" "trip_headsign" "とかち帯広空港（木野・帯広市内各ホテル）" 2
"trips.txt" "trip_headsign" "札幌駅前バスターミナル（地下鉄大谷地駅経由）" 3
"trips.txt" "trip_headsign" "帯広駅バスターミナル（芽室経由）" 5
"trips.txt" "trip_headsign" "旭川駅前（狩勝峠・富良野駅前経由）" 6
"trips.txt" "trip_headsign" "帯広駅バスターミナル（狩勝峠・新得駅前経由）" 7
"trips.txt" "trip_headsign" "札幌駅前・中央バス札幌ターミナル" 9
"trips.txt" "trip_headsign" "道の駅おとふけ（帯広市内各ホテル・木野大通経由）" 10
non_ascii_or_non_printable_char WARNING 1847

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

Only the first 50 of 1847 affected records are displayed below.

filename (?) Name of the faulty file. csvRowNumber (?) Row number of the faulty record. columnName (?) Name of the column where the error occurred. fieldValue (?) Faulty value.
"calendar.txt" 2 "service_id" "通年"
"calendar_dates.txt" 2 "service_id" "平日"
"calendar_dates.txt" 3 "service_id" "平日"
"calendar_dates.txt" 4 "service_id" "空"
"calendar_dates.txt" 5 "service_id" "空"
"calendar_dates.txt" 6 "service_id" "空"
"calendar_dates.txt" 7 "service_id" "空"
"calendar_dates.txt" 8 "service_id" "空"
"calendar_dates.txt" 9 "service_id" "空"
"calendar_dates.txt" 10 "service_id" "空"
"calendar_dates.txt" 11 "service_id" "空"
"calendar_dates.txt" 12 "service_id" "空"
"calendar_dates.txt" 13 "service_id" "空"
"calendar_dates.txt" 14 "service_id" "空"
"calendar_dates.txt" 15 "service_id" "空"
"calendar_dates.txt" 16 "service_id" "空"
"calendar_dates.txt" 17 "service_id" "空"
"calendar_dates.txt" 18 "service_id" "空"
"calendar_dates.txt" 19 "service_id" "空"
"calendar_dates.txt" 20 "service_id" "空"
"calendar_dates.txt" 21 "service_id" "空"
"calendar_dates.txt" 22 "service_id" "空"
"calendar_dates.txt" 23 "service_id" "空"
"calendar_dates.txt" 24 "service_id" "空"
"calendar_dates.txt" 25 "service_id" "空"
"calendar_dates.txt" 26 "service_id" "空"
"calendar_dates.txt" 27 "service_id" "空"
"calendar_dates.txt" 28 "service_id" "空"
"calendar_dates.txt" 29 "service_id" "空"
"calendar_dates.txt" 30 "service_id" "空"
"calendar_dates.txt" 31 "service_id" "空"
"calendar_dates.txt" 32 "service_id" "空"
"calendar_dates.txt" 33 "service_id" "空"
"calendar_dates.txt" 34 "service_id" "空"
"calendar_dates.txt" 35 "service_id" "空"
"calendar_dates.txt" 36 "service_id" "空"
"calendar_dates.txt" 37 "service_id" "空"
"calendar_dates.txt" 38 "service_id" "空"
"calendar_dates.txt" 39 "service_id" "空"
"calendar_dates.txt" 40 "service_id" "空"
"calendar_dates.txt" 41 "service_id" "空"
"calendar_dates.txt" 42 "service_id" "空"
"calendar_dates.txt" 43 "service_id" "空"
"calendar_dates.txt" 44 "service_id" "空"
"calendar_dates.txt" 45 "service_id" "空"
"calendar_dates.txt" 46 "service_id" "空"
"calendar_dates.txt" 47 "service_id" "空"
"calendar_dates.txt" 48 "service_id" "空"
"calendar_dates.txt" 49 "service_id" "空"
"calendar_dates.txt" 50 "service_id" "空"
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" "20221030" "20230228"
platform_without_parent_station INFO 10

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.
3 "7000_05" "帯広駅バスターミナル"
4 "7000_06" "帯広駅バスターミナル"
32 "7152_03" "上川駅前森のテラスバスタッチ"
76 "9350_03" "とかち帯広空港"
80 "7051_05" "地下鉄大谷地駅"
84 "7060_06" "中央バス札幌ターミナル"
85 "7070_01" "札幌駅前バスターミナル"
96 "7122_04" "富良野駅前"
108 "7150_08" "旭川駅前"
112 "7250_02" "たんちょう釧路空港"