GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-13T02:29:52Z,
for the dataset file:///shared/tokaikisen.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:
2025-10-01
Feed End Date:
2025-12-31

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. feed_info.txt
  5. routes.txt
  6. stop_times.txt
  7. stops.txt
  8. translations.txt
  9. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 8
  • Shapes: 0
  • Stops: 16
  • Trips: 30

Specification Compliance report

846 notices reported (3 errors, 841 warnings, 2 infos)

Notice Code Severity Total
missing_required_column ERROR 3

missing_required_column

A required column is missing in the input file.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the missing column.
"translations.txt" "field_name"
"translations.txt" "language"
"translations.txt" "table_name"
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 "20251213" "20251231" "20260112"
mixed_case_recommended_field WARNING 39

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.

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" "八丈島～青ヶ島航路" 2
"routes.txt" "route_short_name" "父島～母島航路" 3
"routes.txt" "route_short_name" "東京～父島航路" 4
"routes.txt" "route_short_name" "熱海・伊東～大島航路" 5
"routes.txt" "route_long_name" "東京～大島・利島・新島・式根島・神津島航路" 6
"routes.txt" "route_long_name" "東京・横浜～大島・利島・新島・式根島・神津島航路" 7
"routes.txt" "route_long_name" "東京～三宅島・御蔵島・八丈島航路" 8
"routes.txt" "route_short_name" "下田発着航路・神新汽船" 9
"stops.txt" "stop_name" "東京・竹芝" 6
"stops.txt" "stop_name" "横浜・大さん橋" 7
"trips.txt" "trip_short_name" "あおがしま丸/くろしお丸：1便" 2
"trips.txt" "trip_short_name" "あおがしま丸/くろしお丸：2便" 3
"trips.txt" "trip_short_name" "あおがしま丸/くろしお丸：4便" 4
"trips.txt" "trip_short_name" "ははじま丸/くろしお丸：1便" 5
"trips.txt" "trip_short_name" "ははじま丸/くろしお丸：3便" 6
"trips.txt" "trip_short_name" "ははじま丸/くろしお丸：8便" 7
"trips.txt" "trip_short_name" "ははじま丸/くろしお丸：10便" 8
"trips.txt" "trip_short_name" "おがさわら丸：東京～父島①" 9
"trips.txt" "trip_headsign" "東京・竹芝" 10
"trips.txt" "trip_short_name" "おがさわら丸：父島～東京①" 10
"trips.txt" "trip_headsign" "伊東～大島" 12
"trips.txt" "trip_headsign" "伊東～熱海" 14
"trips.txt" "trip_headsign" "大島～利島～新島～式根島～神津島" 17
"trips.txt" "trip_headsign" "東京・竹芝" 19
"trips.txt" "trip_headsign" "式根島～新島～利島～大島～東京・竹芝" 20
"trips.txt" "trip_headsign" "東京・竹芝" 21
"trips.txt" "trip_headsign" "東京・竹芝" 22
"trips.txt" "trip_headsign" "大島～利島～新島～式根島～神津島" 23
"trips.txt" "trip_headsign" "大島～利島～新島～式根島～神津島" 24
"trips.txt" "trip_headsign" "式根島～新島～利島～大島～東京・竹芝" 25
"trips.txt" "trip_headsign" "式根島～新島～利島～大島～横浜・大さん橋～東京・竹芝" 26
"trips.txt" "trip_headsign" "三宅島～御蔵島～八丈島" 27
"trips.txt" "trip_short_name" "橘丸/さるびあ丸：3400便" 27
"trips.txt" "trip_headsign" "御蔵島～三宅島～東京・竹芝" 28
"trips.txt" "trip_short_name" "橘丸/さるびあ丸：2400便" 28
"trips.txt" "trip_headsign" "御蔵島～三宅島～東京・竹芝" 29
"trips.txt" "trip_short_name" "橘丸/さるびあ丸：2400便" 29
"trips.txt" "trip_headsign" "利島～新島～式根島～神津島～下田" 30
"trips.txt" "trip_headsign" "神津島～式根島～新島～利島～下田" 31
non_ascii_or_non_printable_char WARNING 801

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 801 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" "105595-10/1～2/1_C"
"calendar.txt" 3 "service_id" "105595-10/1～2/1_毎日"
"calendar.txt" 4 "service_id" "105595-10/1～4/5_C"
"calendar.txt" 5 "service_id" "105595-10/1～4/5_月・木・土・12/31"
"calendar.txt" 6 "service_id" "105595-10/1～4/5_毎日(10/1を除く)"
"calendar.txt" 7 "service_id" "105595-10/1～4/5_火・金・日"
"calendar_dates.txt" 2 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 3 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 4 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 5 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 6 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 7 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 8 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 9 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 10 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 11 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 12 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 13 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 14 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 15 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 16 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 17 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 18 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 19 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 20 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 21 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 22 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 23 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 24 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 25 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 26 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 27 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 28 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 29 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 30 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 31 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 32 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 33 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 34 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 35 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 36 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 37 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 38 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 39 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 40 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 41 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 42 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 43 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 44 "service_id" "105595-10/1～2/1_A"
"calendar_dates.txt" 45 "service_id" "105595-10/1～2/1_A"
unknown_column INFO 2

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.
"translations.txt" "trans_id" 1
"translations.txt" "lang" 2