GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T17:51:45Z,
for the dataset file:///shared/city-hakui-material.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
羽咋市役所
Feed Email:
N/A
Feed Language:
Japanese

Files included


  1. agency.txt
  2. agency_jp.txt
  3. calendar.txt
  4. fare_attributes.txt
  5. feed_info.txt
  6. result.txt
  7. routes.txt
  8. routes_jp.txt
  9. stop_times.txt
  10. stops.txt
  11. translations.txt
  12. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 6
  • Shapes: 0
  • Stops: 106
  • Trips: 12

Specification Compliance report

501 notices reported (3 errors, 492 warnings, 6 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"
expired_calendar WARNING 1

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 "毎日"
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 3

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.
"feed_info.txt" 2 "feed_start_date"
"feed_info.txt" 2 "feed_end_date"
"fare_attributes.txt" 2 "agency_id"
missing_timepoint_value WARNING 444

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 444 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 "1_1_1" 1
3 "1_1_1" 2
4 "1_1_1" 3
5 "1_1_1" 4
6 "1_1_1" 5
7 "1_1_1" 6
8 "1_1_1" 7
9 "1_1_1" 8
10 "1_1_1" 9
11 "1_1_1" 10
12 "1_1_1" 11
13 "1_1_1" 12
14 "1_1_1" 13
15 "1_1_1" 14
16 "1_1_1" 15
17 "1_1_1" 16
18 "1_1_1" 17
19 "1_1_1" 18
20 "1_1_1" 19
21 "1_1_1" 20
22 "1_1_1" 21
23 "1_1_1" 22
24 "1_1_1" 23
25 "1_1_1" 24
26 "1_1_1" 25
27 "1_1_1" 26
28 "1_1_1" 27
29 "1_1_1" 28
30 "1_1_1" 29
31 "1_1_1" 30
32 "1_1_1" 31
33 "1_1_1" 32
34 "1_1_1" 33
35 "1_1_1" 34
36 "1_1_1" 35
37 "1_1_1" 36
38 "1_1_1" 37
39 "1_1_1" 38
40 "1_1_1" 39
41 "1_1_1" 40
42 "1_1_1" 41
43 "1_1_1" 42
44 "1_1_1" 43
45 "1_1_1" 44
46 "1_1_1" 45
47 "1_1_1" 46
48 "1_1_1" 47
49 "1_1_1" 48
50 "1_1_2" 49
51 "1_1_2" 50
mixed_case_recommended_field WARNING 29

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" "余喜・鹿島路・越路野コース" 3
"routes.txt" "route_long_name" "中邑知・富永コース" 6
"stops.txt" "stop_name" "羽咋中央(中央公園)" 4
"stops.txt" "stop_name" "羽咋中央(中央公園)" 22
"stops.txt" "stop_name" "大町(冨士電子工業)" 25
"stops.txt" "stop_name" "宿屋(ブルボンレース)" 29
"stops.txt" "stop_name" "鹿島路町(旧バス停)" 32
"stops.txt" "stop_name" "千路町(白鬚神社)" 33
"stops.txt" "stop_name" "柳田町東出(旧バス停)" 35
"stops.txt" "stop_name" "柳田町西(八幡駐車場)" 36
"stops.txt" "stop_name" "猫の目(旧道入口)" 37
"stops.txt" "stop_name" "釜屋町(柳田新保境)" 38
"stops.txt" "stop_name" "粟原町(入口)" 43
"stops.txt" "stop_name" "菅池町(諏訪神社)" 51
"stops.txt" "stop_name" "鶴多町(五石高交差点)" 60
"stops.txt" "stop_name" "堀替新町(会館)" 75
"stops.txt" "stop_name" "尾長出町(佐智神社)" 76
"stops.txt" "stop_name" "志々見町(大橋詰)" 77
"stops.txt" "stop_name" "尾長町(入口)" 78
"stops.txt" "stop_name" "四町(白山神社)" 80
"stops.txt" "stop_name" "上江町(日吉神社)" 81
"stops.txt" "stop_name" "円井町(願正寺)" 83
"stops.txt" "stop_name" "吉崎町(大橋詰)" 84
"stops.txt" "stop_name" "深江町(会館)" 85
"stops.txt" "stop_name" "次場町(会館)" 86
"stops.txt" "stop_name" "寺家町(大森スタンド)" 92
"stops.txt" "stop_name" "滝谷町(滝谷会館前)" 95
"stops.txt" "stop_name" "滝町(会館)" 102
"stops.txt" "stop_name" "一ノ宮町(鳥居)" 103
non_ascii_or_non_printable_char WARNING 13

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.

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" "毎日"
"trips.txt" 2 "service_id" "毎日"
"trips.txt" 3 "service_id" "毎日"
"trips.txt" 4 "service_id" "毎日"
"trips.txt" 5 "service_id" "毎日"
"trips.txt" 6 "service_id" "毎日"
"trips.txt" 7 "service_id" "毎日"
"trips.txt" 8 "service_id" "毎日"
"trips.txt" 9 "service_id" "毎日"
"trips.txt" 10 "service_id" "毎日"
"trips.txt" 11 "service_id" "毎日"
"trips.txt" 12 "service_id" "毎日"
"trips.txt" 13 "service_id" "毎日"
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" "20170701" "20240630"
unknown_column INFO 3

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.
"feed_info.txt" "feed_start_datefeed_end_date" 4
"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.
"agency_jp.txt"
"result.txt"
"routes_jp.txt"