GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T22:04:47Z,
for the dataset file:///shared/okayacity-silkybus.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
岡谷市
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2024-12-09
Feed End Date:
2026-03-31

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. stop_times.txt
  9. stops.txt
  10. transfers.txt
  11. translations.txt
  12. trips.txt

Counts

  • Agencies: 1
  • Blocks: 3
  • Routes: 8
  • Shapes: 0
  • Stops: 267
  • Trips: 50

Specification Compliance report

2513 notices reported (0 errors, 2511 warnings, 2 infos)

Notice Code Severity Total
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
missing_recommended_field WARNING 1

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"
mixed_case_recommended_field WARNING 12

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" "シルキーバス 1今井・長地線" 2
"routes.txt" "route_long_name" "シルキーバス 2長地・今井線" 3
"routes.txt" "route_long_name" "シルキーバス 3 市街地循環西ルート線" 4
"routes.txt" "route_long_name" "シルキーバス 4 やまびこ公園線" 5
"routes.txt" "route_long_name" "シルキーバス 4 やまびこ公園線＜冬季＞" 6
"routes.txt" "route_long_name" "シルキーバス 5 市街地循環東ルート線" 7
"routes.txt" "route_long_name" "シルキーバス 6 川岸線" 8
"routes.txt" "route_long_name" "シルキーバス 7 川岸橋原線" 9
"stops.txt" "stop_name" "岡谷市役所前（蚕糸公園）" 121
"stops.txt" "stop_name" "駒沢御社宮司社(要予約)" 267
"stops.txt" "stop_name" "駒沢公民館(要予約)" 268
"trips.txt" "trip_headsign" "駒沢公民館(要予約)" 51
non_ascii_or_non_printable_char WARNING 2497

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 2497 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" "全日(1229_0103運休)"
"calendar.txt" 3 "service_id" "全日(0101運休)"
"calendar.txt" 4 "service_id" "平土(1229_0103運休)"
"calendar.txt" 5 "service_id" "平日(1229_0103運休)"
"calendar.txt" 6 "service_id" "平日(お盆年末年始運休)"
"calendar.txt" 7 "service_id" "全日(冬季運休)"
"calendar.txt" 8 "service_id" "全日(冬季運行)"
"calendar_dates.txt" 2 "service_id" "全日(0101運休)"
"calendar_dates.txt" 3 "service_id" "全日(1229_0103運休)"
"calendar_dates.txt" 4 "service_id" "全日(1229_0103運休)"
"calendar_dates.txt" 5 "service_id" "全日(1229_0103運休)"
"calendar_dates.txt" 6 "service_id" "全日(1229_0103運休)"
"calendar_dates.txt" 7 "service_id" "全日(1229_0103運休)"
"calendar_dates.txt" 8 "service_id" "全日(1229_0103運休)"
"calendar_dates.txt" 9 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 10 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 11 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 12 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 13 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 14 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 15 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 16 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 17 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 18 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 19 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 20 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 21 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 22 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 23 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 24 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 25 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 26 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 27 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 28 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 29 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 30 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 31 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 32 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 33 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 34 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 35 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 36 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 37 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 38 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 39 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 40 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 41 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 42 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 43 "service_id" "全日(冬季運休)"
"calendar_dates.txt" 44 "service_id" "全日(冬季運休)"
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.
"trips.txt" "jp_trip_desc" 9
"trips.txt" "jp_pattern_id" 10