GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T17:03:59Z,
for the dataset file:///shared/gtfs11-combus06-usuki.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
臼杵市コミュニティバス
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2025-04-01
Feed End Date:
2026-04-01

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. office_jp.txt
  8. pattern_jp.txt
  9. routes.txt
  10. shapes.txt
  11. stop_times.txt
  12. stops.txt
  13. transfers.txt
  14. translations.txt
  15. trips.txt
  16. trips_jp.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 15
  • Shapes: 15
  • Stops: 200
  • Trips: 37

Specification Compliance report

1067 notices reported (3 errors, 1059 warnings, 5 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"
duplicate_route_name WARNING 9

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
5 "5103013" 6 "5103014" "" "上松線" 3 "2000020442062"
7 "5106015" 8 "5106016" "" "南野津・東谷線" 3 "2000020442062"
9 "5108023" 10 "5108033" "" "市内循環線" 3 "2000020442062"
3 "5101011" 11 "5101012" "" "佐志生線" 3 "2000020442062"
7 "5106015" 12 "5106017" "" "南野津・東谷線" 3 "2000020442062"
4 "5104013" 13 "5104014" "" "城崎線" 3 "2000020442062"
9 "5108023" 14 "5108024" "" "市内循環線" 3 "2000020442062"
9 "5108023" 15 "5108034" "" "市内循環線" 3 "2000020442062"
2 "5107011" 16 "5107012" "" "白岩線" 3 "2000020442062"
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_timepoint_value WARNING 1045

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 1045 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 1
3 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 2
4 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 3
5 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 4
6 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 5
7 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 6
8 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 7
9 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 8
10 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 9
11 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 10
12 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 11
13 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 12
14 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 13
15 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 14
16 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 15
17 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 16
18 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 17
19 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 18
20 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 19
21 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 20
22 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 21
23 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 22
24 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 23
25 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 24
26 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 25
27 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 26
28 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 27
29 "87378206-d003-45ad-b6ad-0cd7bb5b97a7" 28
30 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 1
31 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 2
32 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 3
33 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 4
34 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 5
35 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 6
36 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 7
37 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 8
38 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 9
39 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 10
40 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 11
41 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 12
42 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 13
43 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 14
44 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 15
45 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 16
46 "0faf1b8b-ca18-4fa5-ad7b-0e7cd801a389" 17
47 "846c96f7-2da7-4e9f-8fa1-0fcba2eba661" 1
48 "846c96f7-2da7-4e9f-8fa1-0fcba2eba661" 2
49 "846c96f7-2da7-4e9f-8fa1-0fcba2eba661" 3
50 "846c96f7-2da7-4e9f-8fa1-0fcba2eba661" 4
51 "846c96f7-2da7-4e9f-8fa1-0fcba2eba661" 5
mixed_case_recommended_field WARNING 4

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" "南野津・東谷線" 7
"routes.txt" "route_long_name" "南野津・東谷線" 8
"routes.txt" "route_long_name" "南野津・東谷線" 12
"stops.txt" "stop_name" "サーラ・デ・うすき" 139
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
unknown_file INFO 3

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"trips_jp.txt"
"office_jp.txt"
"pattern_jp.txt"