abashiribus-current — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-15T15:30:54Z,
for the dataset file:///shared/abashiribus-current_2c7d52ec.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

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:
2026-09-30

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: 22
  • Shapes: 52
  • Stops: 532
  • Trips: 133

Specification Compliance report

4568 notices reported (0 errors, 4568 warnings, 0 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"
16 "1492-301" 18 "1492-315" "東京農大線" "" 3 "1492-5460301003048"
19 "1492-401" 20 "1492-404" "お買い物バス" "" 3 "1492-5460301003048"
19 "1492-401" 21 "1492-415" "お買い物バス" "" 3 "1492-5460301003048"
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.
3 "1492-5/1~6日のみ運行"
missing_recommended_field WARNING 80

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 80 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 107

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 107 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
"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" 387
"stops.txt" "stop_name" "つくしヶ丘6丁目" 388
"stops.txt" "stop_name" "つくしヶ丘5丁目" 394
"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4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3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2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" "駒場南6丁目" 409
non_ascii_or_non_printable_char WARNING 4367

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 4367 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" "1492-5/1~6日のみ運休"
"calendar.txt" 3 "service_id" "1492-5/1~6日のみ運行"
"calendar.txt" 4 "service_id" "1492-前学期の授業日"
"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-毎日"
"calendar_dates.txt" 2 "service_id" "1492-5/1~6日のみ運休"
"calendar_dates.txt" 3 "service_id" "1492-5/1~6日のみ運休"
"calendar_dates.txt" 4 "service_id" "1492-5/1~6日のみ運休"
"calendar_dates.txt" 5 "service_id" "1492-5/1~6日のみ運休"
"calendar_dates.txt" 6 "service_id" "1492-5/1~6日のみ運休"
"calendar_dates.txt" 7 "service_id" "1492-前学期の授業日"
"calendar_dates.txt" 8 "service_id" "1492-前学期の授業日"
"calendar_dates.txt" 9 "service_id" "1492-前学期の授業日"
"calendar_dates.txt" 10 "service_id" "1492-前学期の授業日"
"calendar_dates.txt" 11 "service_id" "1492-土日祝"
"calendar_dates.txt" 12 "service_id" "1492-土日祝"
"calendar_dates.txt" 13 "service_id" "1492-土日祝"
"calendar_dates.txt" 14 "service_id" "1492-土日祝"
"calendar_dates.txt" 15 "service_id" "1492-土日祝"
"calendar_dates.txt" 16 "service_id" "1492-土日祝"
"calendar_dates.txt" 17 "service_id" "1492-土日祝"
"calendar_dates.txt" 18 "service_id" "1492-土日祝"
"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-学校休校日運休"
"calendar_dates.txt" 31 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 32 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 33 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 34 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 35 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 36 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 37 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 38 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 39 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 40 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 41 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 42 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 43 "service_id" "1492-学校休校日運休"
"calendar_dates.txt" 44 "service_id" "1492-学校休校日運休"