GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T20:56:12Z,
for the dataset file:///shared/kamicity-gtfs-kamicity-bus.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
香美市
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2025-04-01
Feed End Date:
2026-01-01

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: 11
  • Shapes: 34
  • Stops: 314
  • Trips: 91

Specification Compliance report

2422 notices reported (0 errors, 2420 warnings, 2 infos)

Notice Code Severity Total
expired_calendar WARNING 11

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 "美良布・大栃"
3 "不寒冬"
4 "佐岡"
5 "西又"
6 "町田"
7 "蕨野"
8 "谷相"
9 "白川"
10 "影"
11 "別府"
12 "あけぼの"
feed_expiration_date7_days WARNING 1

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

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 "20260123" "20260101" "20260130"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
mixed_case_recommended_field WARNING 17

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" "美良布・大栃線" 2
"stops.txt" "stop_name" "東本町2丁目" 47
"stops.txt" "stop_name" "東本町2丁目" 48
"stops.txt" "stop_name" "東本町5丁目" 49
"stops.txt" "stop_name" "東本町5丁目" 50
"stops.txt" "stop_name" "百石町2丁目" 51
"stops.txt" "stop_name" "百石町2丁目" 52
"stops.txt" "stop_name" "西本町2丁目" 54
"stops.txt" "stop_name" "西本町2丁目" 55
"stops.txt" "stop_name" "西本町4丁目" 56
"stops.txt" "stop_name" "西本町4丁目" 57
"stops.txt" "stop_name" "西本町5丁目" 58
"stops.txt" "stop_name" "西本町5丁目" 59
"stops.txt" "stop_name" "秦山町2丁目" 60
"stops.txt" "stop_name" "秦山町2丁目" 61
"stops.txt" "stop_name" "秦山町3丁目" 313
"stops.txt" "stop_name" "北本町1丁目" 315
non_ascii_or_non_printable_char WARNING 2389

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 2389 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" "美良布・大栃"
"calendar.txt" 3 "service_id" "不寒冬"
"calendar.txt" 4 "service_id" "佐岡"
"calendar.txt" 5 "service_id" "西又"
"calendar.txt" 6 "service_id" "町田"
"calendar.txt" 7 "service_id" "蕨野"
"calendar.txt" 8 "service_id" "谷相"
"calendar.txt" 9 "service_id" "白川"
"calendar.txt" 10 "service_id" "影"
"calendar.txt" 11 "service_id" "別府"
"calendar.txt" 12 "service_id" "あけぼの"
"calendar_dates.txt" 2 "service_id" "あけぼの"
"calendar_dates.txt" 3 "service_id" "あけぼの"
"calendar_dates.txt" 4 "service_id" "あけぼの"
"calendar_dates.txt" 5 "service_id" "あけぼの"
"calendar_dates.txt" 6 "service_id" "あけぼの"
"calendar_dates.txt" 7 "service_id" "影"
"calendar_dates.txt" 8 "service_id" "佐岡"
"calendar_dates.txt" 9 "service_id" "佐岡"
"calendar_dates.txt" 10 "service_id" "佐岡"
"calendar_dates.txt" 11 "service_id" "佐岡"
"calendar_dates.txt" 12 "service_id" "佐岡"
"calendar_dates.txt" 13 "service_id" "佐岡"
"calendar_dates.txt" 14 "service_id" "佐岡"
"calendar_dates.txt" 15 "service_id" "佐岡"
"calendar_dates.txt" 16 "service_id" "佐岡"
"calendar_dates.txt" 17 "service_id" "佐岡"
"calendar_dates.txt" 18 "service_id" "佐岡"
"calendar_dates.txt" 19 "service_id" "西又"
"calendar_dates.txt" 20 "service_id" "西又"
"calendar_dates.txt" 21 "service_id" "西又"
"calendar_dates.txt" 22 "service_id" "西又"
"calendar_dates.txt" 23 "service_id" "谷相"
"calendar_dates.txt" 24 "service_id" "谷相"
"calendar_dates.txt" 25 "service_id" "谷相"
"calendar_dates.txt" 26 "service_id" "谷相"
"calendar_dates.txt" 27 "service_id" "谷相"
"calendar_dates.txt" 28 "service_id" "谷相"
"calendar_dates.txt" 29 "service_id" "谷相"
"calendar_dates.txt" 30 "service_id" "谷相"
"calendar_dates.txt" 31 "service_id" "谷相"
"calendar_dates.txt" 32 "service_id" "谷相"
"calendar_dates.txt" 33 "service_id" "谷相"
"calendar_dates.txt" 34 "service_id" "町田"
"calendar_dates.txt" 35 "service_id" "町田"
"calendar_dates.txt" 36 "service_id" "町田"
"calendar_dates.txt" 37 "service_id" "町田"
"calendar_dates.txt" 38 "service_id" "白川"
"calendar_dates.txt" 39 "service_id" "白川"
"calendar_dates.txt" 40 "service_id" "白川"
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20260123" "20250401" "20251231"
platform_without_parent_station INFO 1

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.
44 "20022_01" "土佐山田駅"
unknown_column INFO 1

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.
"trips.txt" "jp_trip_desc" 9