GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-04T13:04:39Z,
for the dataset file:///shared/toyotacity-kikanbus_8873babf.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:
2026-04-01
Feed End Date:
2027-03-31

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. transfers.txt
  12. translations.txt
  13. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 13
  • Shapes: 65
  • Stops: 498
  • Trips: 802

Specification Compliance report

24646 notices reported (0 errors, 24642 warnings, 4 infos)

Notice Code Severity Total
missing_recommended_field WARNING 15

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"
mixed_case_recommended_field WARNING 65

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 65 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_long_name" "とよたおいでんバス1藤岡・豊田線（加納経由）" 2
"routes.txt" "route_long_name" "とよたおいでんバス2小原・豊田線" 3
"routes.txt" "route_long_name" "とよたおいでんバス2藤岡・豊田線（西中山経由）" 4
"routes.txt" "route_long_name" "とよたおいでんバス5旭・豊田線" 5
"routes.txt" "route_long_name" "とよたおいでんバス6旭・足助線" 6
"routes.txt" "route_long_name" "とよたおいでんバス7稲武・足助線" 7
"routes.txt" "route_long_name" "とよたおいでんバス7快速いなぶ" 8
"routes.txt" "route_long_name" "とよたおいでんバス8さなげ・足助線" 9
"routes.txt" "route_long_name" "とよたおいでんバス10下山・豊田線" 10
"routes.txt" "route_long_name" "とよたおいでんバス21保見・豊田線" 11
"routes.txt" "route_long_name" "とよたおいでんバス22中心市街地玄関口バス" 12
"routes.txt" "route_long_name" "とよたおいでんバス25豊田・渋谷線" 13
"routes.txt" "route_long_name" "とよたおいでんバス26土橋・豊田東環状線" 14
"stops.txt" "stop_name" "若宮町５丁目" 6
"stops.txt" "stop_name" "若宮町５丁目" 7
"stops.txt" "stop_name" "喜多町４丁目" 57
"stops.txt" "stop_name" "喜多町４丁目" 58
"stops.txt" "stop_name" "陣中町１丁目" 63
"stops.txt" "stop_name" "陣中町１丁目" 64
"stops.txt" "stop_name" "広川町７丁目" 118
"stops.txt" "stop_name" "広川町７丁目" 119
"stops.txt" "stop_name" "上野町５丁目" 120
"stops.txt" "stop_name" "上野町５丁目" 121
"stops.txt" "stop_name" "井上町３丁目" 252
"stops.txt" "stop_name" "井上町３丁目" 253
"stops.txt" "stop_name" "青木町１丁目" 254
"stops.txt" "stop_name" "青木町１丁目" 255
"stops.txt" "stop_name" "朝日町２丁目" 356
"stops.txt" "stop_name" "朝日町２丁目" 357
"stops.txt" "stop_name" "朝日町４丁目" 358
"stops.txt" "stop_name" "朝日町４丁目" 359
"stops.txt" "stop_name" "朝日町７丁目" 362
"stops.txt" "stop_name" "朝日町７丁目" 363
"stops.txt" "stop_name" "元城町３丁目" 405
"stops.txt" "stop_name" "元城町３丁目" 406
"stops.txt" "stop_name" "広川町１１丁目" 410
"stops.txt" "stop_name" "広川町１１丁目" 411
"stops.txt" "stop_name" "広川町９丁目" 412
"stops.txt" "stop_name" "広川町９丁目" 413
"stops.txt" "stop_name" "美里１丁目" 414
"stops.txt" "stop_name" "美里１丁目" 415
"stops.txt" "stop_name" "宝来町４丁目" 418
"stops.txt" "stop_name" "宝来町４丁目" 419
"stops.txt" "stop_name" "泉町１丁目" 424
"stops.txt" "stop_name" "泉町１丁目" 425
"stops.txt" "stop_name" "五ヶ丘１丁目" 426
"stops.txt" "stop_name" "五ヶ丘１丁目" 427
"stops.txt" "stop_name" "五ヶ丘８丁目" 431
"stops.txt" "stop_name" "五ヶ丘６丁目" 433
"stops.txt" "stop_name" "五ヶ丘６丁目西" 434
non_ascii_or_non_printable_char WARNING 24562

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 24562 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" "101494-いなぶ土日祝"
"calendar.txt" 3 "service_id" "101494-いなぶ平日"
"calendar.txt" 4 "service_id" "101494-土日祝"
"calendar.txt" 5 "service_id" "101494-平日"
"calendar_dates.txt" 2 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 3 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 4 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 5 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 6 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 7 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 8 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 9 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 10 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 11 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 12 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 13 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 14 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 15 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 16 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 17 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 18 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 19 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 20 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 21 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 22 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 23 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 24 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 25 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 26 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 27 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 28 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 29 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 30 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 31 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 32 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 33 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 34 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 35 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 36 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 37 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 38 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 39 "service_id" "101494-いなぶ土日祝"
"calendar_dates.txt" 40 "service_id" "101494-いなぶ平日"
"calendar_dates.txt" 41 "service_id" "101494-いなぶ平日"
"calendar_dates.txt" 42 "service_id" "101494-いなぶ平日"
"calendar_dates.txt" 43 "service_id" "101494-いなぶ平日"
"calendar_dates.txt" 44 "service_id" "101494-いなぶ平日"
"calendar_dates.txt" 45 "service_id" "101494-いなぶ平日"
"calendar_dates.txt" 46 "service_id" "101494-いなぶ平日"
"calendar_dates.txt" 47 "service_id" "101494-いなぶ平日"
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.
2 "101494-6001_02" "豊田市"
3 "101494-6001_03" "豊田市"
4 "101494-6001_05" "豊田市"
5 "101494-6001_09" "豊田市"