abashiribus-current — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-14T18:42:13Z,
for the dataset file:///shared/abashiribus-current_d09d3a93.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 Language:
Japanese
Feed Start Date:
2026-04-01
Feed End Date:
2026-11-23

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: 2
  • Routes: 24
  • Shapes: 56
  • Stops: 572
  • Trips: 140

Specification Compliance report

4742 notices reported (0 errors, 4734 warnings, 8 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`.
2 "1492-11" 3 "1492-13" "小清水線" "" 3 "1492-5460301003048"
6 "1492-102" 7 "1492-105" "つくしヶ丘団地線" "" 3 "1492-5460301003048"
6 "1492-102" 8 "1492-106" "つくしヶ丘団地線" "" 3 "1492-5460301003048"
6 "1492-102" 9 "1492-108" "つくしヶ丘団地線" "" 3 "1492-5460301003048"
6 "1492-102" 10 "1492-116" "つくしヶ丘団地線" "" 3 "1492-5460301003048"
6 "1492-102" 11 "1492-124" "つくしヶ丘団地線" "" 3 "1492-5460301003048"
12 "1492-201" 13 "1492-203" "羽衣・向陽線" "" 3 "1492-5460301003048"
12 "1492-201" 14 "1492-204" "羽衣・向陽線" "" 3 "1492-5460301003048"
12 "1492-201" 15 "1492-205" "羽衣・向陽線" "" 3 "1492-5460301003048"
16 "1492-301" 17 "1492-303" "東京農大線" "" 3 "1492-5460301003048"
18 "1492-401" 19 "1492-404" "お買い物バス" "" 3 "1492-5460301003048"
18 "1492-401" 20 "1492-415" "お買い物バス" "" 3 "1492-5460301003048"
23 "1492-901" 24 "1492-911" "知床エアポートライナー" "" 3 "1492-5460301003048"
expired_calendar WARNING 2

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 "1492-17日~31日まで運行"
8 "1492-月、水、土のみ運行"
missing_recommended_field WARNING 94

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 94 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 122

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 122 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" "羽衣・向陽線" 12
"routes.txt" "route_short_name" "羽衣・向陽線" 13
"routes.txt" "route_short_name" "羽衣・向陽線" 14
"routes.txt" "route_short_name" "羽衣・向陽線" 15
"routes.txt" "route_long_name" "ひがし北海道~シーサイドエクスプレスバス~紋別/知床号" 25
"stops.txt" "stop_name" "駒場8丁目" 126
"stops.txt" "stop_name" "駒場8丁目" 127
"stops.txt" "stop_name" "駒場8丁目" 128
"stops.txt" "stop_name" "駒場5丁目" 129
"stops.txt" "stop_name" "駒場5丁目" 130
"stops.txt" "stop_name" "駒場5丁目" 131
"stops.txt" "stop_name" "駒場5丁目" 132
"stops.txt" "stop_name" "駒場3丁目" 133
"stops.txt" "stop_name" "駒場3丁目" 134
"stops.txt" "stop_name" "駒場3丁目" 135
"stops.txt" "stop_name" "駒場3丁目" 136
"stops.txt" "stop_name" "駒場3丁目" 137
"stops.txt" "stop_name" "駒場1丁目" 138
"stops.txt" "stop_name" "駒場1丁目" 139
"stops.txt" "stop_name" "駒場1丁目" 140
"stops.txt" "stop_name" "桂町3丁目" 141
"stops.txt" "stop_name" "桂町3丁目" 142
"stops.txt" "stop_name" "桂町3丁目" 143
"stops.txt" "stop_name" "台町3丁目" 144
"stops.txt" "stop_name" "台町3丁目" 145
"stops.txt" "stop_name" "台町3丁目" 146
"stops.txt" "stop_name" "台町2丁目" 150
"stops.txt" "stop_name" "台町2丁目" 151
"stops.txt" "stop_name" "台町2丁目" 152
"stops.txt" "stop_name" "台町1丁目" 153
"stops.txt" "stop_name" "台町1丁目" 154
"stops.txt" "stop_name" "桂町2丁目" 158
"stops.txt" "stop_name" "桂町2丁目" 159
"stops.txt" "stop_name" "東1丁目 網走市役所前" 166
"stops.txt" "stop_name" "東1丁目 網走市役所前" 167
"stops.txt" "stop_name" "東1丁目 網走市役所前" 168
"stops.txt" "stop_name" "つくしヶ丘6丁目" 388
"stops.txt" "stop_name" "つくしヶ丘6丁目" 389
"stops.txt" "stop_name" "つくしヶ丘5丁目" 395
"stops.txt" "stop_name" "つくしヶ丘5丁目" 396
"stops.txt" "stop_name" "つくしヶ丘5丁目" 397
"stops.txt" "stop_name" "つくしヶ丘4丁目" 398
"stops.txt" "stop_name" "つくしヶ丘4丁目" 399
"stops.txt" "stop_name" "つくしヶ丘4丁目" 400
"stops.txt" "stop_name" "つくしヶ丘3丁目" 401
"stops.txt" "stop_name" "つくしヶ丘3丁目" 402
"stops.txt" "stop_name" "つくしヶ丘3丁目" 403
"stops.txt" "stop_name" "つくしヶ丘2丁目" 404
"stops.txt" "stop_name" "つくしヶ丘2丁目" 405
"stops.txt" "stop_name" "つくしヶ丘2丁目" 406
non_ascii_or_non_printable_char WARNING 4503

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 4503 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" "1492-17日~31日まで運行"
"calendar.txt" 3 "service_id" "1492-6月1日~9月30日運行"
"calendar.txt" 4 "service_id" "1492-7月24日~10月31日運行"
"calendar.txt" 5 "service_id" "1492-土日祝"
"calendar.txt" 6 "service_id" "1492-学校休校日運休"
"calendar.txt" 7 "service_id" "1492-平日"
"calendar.txt" 8 "service_id" "1492-月、水、土のみ運行"
"calendar.txt" 9 "service_id" "1492-毎日"
"calendar_dates.txt" 2 "service_id" "1492-6月1日~9月30日運行"
"calendar_dates.txt" 3 "service_id" "1492-6月1日~9月30日運行"
"calendar_dates.txt" 4 "service_id" "1492-6月1日~9月30日運行"
"calendar_dates.txt" 5 "service_id" "1492-土日祝"
"calendar_dates.txt" 6 "service_id" "1492-土日祝"
"calendar_dates.txt" 7 "service_id" "1492-土日祝"
"calendar_dates.txt" 8 "service_id" "1492-土日祝"
"calendar_dates.txt" 9 "service_id" "1492-土日祝"
"calendar_dates.txt" 10 "service_id" "1492-土日祝"
"calendar_dates.txt" 11 "service_id" "1492-土日祝"
"calendar_dates.txt" 12 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 13 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 14 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 15 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 16 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 17 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 18 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 19 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 20 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 21 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 22 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 23 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 24 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 25 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 26 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 27 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 28 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 29 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 30 "service_id" "1492-平日"
"calendar_dates.txt" 31 "service_id" "1492-平日"
"calendar_dates.txt" 32 "service_id" "1492-平日"
"calendar_dates.txt" 33 "service_id" "1492-平日"
"calendar_dates.txt" 34 "service_id" "1492-毎日"
"calendar_dates.txt" 35 "service_id" "1492-毎日"
"calendar_dates.txt" 36 "service_id" "1492-毎日"
"stop_times.txt" 2 "trip_id" "1492-701+毎日+1"
"stop_times.txt" 3 "trip_id" "1492-701+毎日+1"
"stop_times.txt" 4 "trip_id" "1492-701+毎日+1"
"stop_times.txt" 5 "trip_id" "1492-701+毎日+1"
"stop_times.txt" 6 "trip_id" "1492-701+毎日+1"
"stop_times.txt" 7 "trip_id" "1492-701+毎日+1"
"stop_times.txt" 8 "trip_id" "1492-701+毎日+1"
big_gap_in_service INFO 8

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"1492-6月1日~9月30日運行" "2026-10-12" "2026-11-03" 21
"1492-6月1日~9月30日運行" "2026-11-03" "2026-11-23" 19
"1492-土日祝" "2026-09-27" "2026-10-12" 14
"1492-土日祝" "2026-10-12" "2026-11-03" 21
"1492-土日祝" "2026-11-03" "2026-11-23" 19
"1492-学校休校日運休" "2026-07-31" "2026-08-24" 23
"1492-毎日" "2026-10-12" "2026-11-03" 21
"1492-毎日" "2026-11-03" "2026-11-23" 19