GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T23:19:44Z,
for the dataset file:///shared/kumagayacity-yuuyuubus.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:
2025-01-01
Feed End Date:
2025-12-31

Files included


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

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 11
  • Shapes: 20
  • Stops: 395
  • Trips: 119

Specification Compliance report

3211 notices reported (0 errors, 3211 warnings, 0 infos)

Notice Code Severity Total
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 "20251205" "20251231" "20260104"
mixed_case_recommended_field WARNING 13

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_long_name" "グライダーワゴン 妻沼循環" 4
"routes.txt" "route_short_name" "ムサシトミヨ号 籠原駅" 6
"routes.txt" "route_short_name" "ムサシトミヨ号 上之荘" 7
"routes.txt" "route_short_name" "ほたる号 熊谷駅南口" 10
"routes.txt" "route_short_name" "ほたる号 籠原駅南口" 11
"stops.txt" "stop_name" "あじさい寺(能護寺)" 154
"stops.txt" "stop_name" "別府第2公園" 170
"stops.txt" "stop_name" "別府第2公園" 174
"stops.txt" "stop_name" "あじさい寺(能護寺)" 189
"stops.txt" "stop_name" "別府1丁目" 365
"stops.txt" "stop_name" "別府第2公園南" 366
"stops.txt" "stop_name" "別府第2公園南" 395
"stops.txt" "stop_name" "別府1丁目" 396
non_ascii_or_non_printable_char WARNING 3197

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 3197 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" "105407-土日祝"
"calendar.txt" 3 "service_id" "105407-平日"
"calendar.txt" 4 "service_id" "105407-毎日"
"calendar.txt" 5 "service_id" "105407-除日曜"
"stop_times.txt" 2 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 3 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 4 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 5 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 6 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 7 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 8 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 9 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 10 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 11 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 12 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 13 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 14 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 15 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 16 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 17 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 18 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 19 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 20 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 21 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 22 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 23 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 24 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 25 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 26 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 27 "trip_id" "105407-000001_毎日001"
"stop_times.txt" 28 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 29 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 30 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 31 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 32 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 33 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 34 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 35 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 36 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 37 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 38 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 39 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 40 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 41 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 42 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 43 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 44 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 45 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 46 "trip_id" "105407-000001_毎日002"
"stop_times.txt" 47 "trip_id" "105407-000001_毎日002"