GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T21:41:52Z,
for the dataset file:///shared/nakatown-nakatownbus.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
那賀町
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2025-04-03
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: 0
  • Routes: 12
  • Shapes: 0
  • Stops: 160
  • Trips: 44

Specification Compliance report

1578 notices reported (44 errors, 1532 warnings, 2 infos)

Notice Code Severity Total
foreign_key_violation ERROR 44

foreign_key_violation

Wrong foreign key.

A foreign key references the primary key of another file. A foreign key violation means that the foreign key referenced from a given row (the child file) cannot be found in the corresponding file (the parent file). The Foreign keys are defined in the specification under "Type" for each file.

You can see more about this notice here.

childFilename (?) The name of the file from which reference is made. childFieldName (?) The name of the field that makes reference. parentFilename (?) The name of the file that is referred to. parentFieldName (?) The name of the field that is referred to. fieldValue (?) The faulty record's value. csvRowNumber (?) The row of the faulty record.
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1011" 2
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1011" 3
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1011" 4
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1011" 5
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1011" 6
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1011" 7
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1011" 8
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1011" 9
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1011" 10
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1011" 11
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1021" 12
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1021" 13
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1021" 14
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1021" 15
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1021" 16
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1021" 17
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1021" 18
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1022" 19
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1022" 20
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1022" 21
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1111" 22
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1111" 23
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1121" 24
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1121" 25
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1211" 26
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1211" 27
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1211" 28
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1211" 29
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1211" 30
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1221" 31
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1221" 32
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1221" 33
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1221" 34
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1221" 35
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1311" 36
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1311" 37
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1311" 38
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1311" 39
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1311" 40
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1321" 41
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1321" 42
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1321" 43
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1321" 44
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1321" 45
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.
3 "夏時間"
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 64

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.

Only the first 50 of 64 affected records are displayed below.

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

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" "那賀町営バス　竹ヶ谷・請ノ谷線" 2
"routes.txt" "route_long_name" "那賀町営バス　竹ヶ谷線" 3
"routes.txt" "route_long_name" "那賀町営バス　請ノ谷・那賀高線" 4
"routes.txt" "route_long_name" "那賀町営バス　出合岩倉線" 5
"routes.txt" "route_long_name" "那賀町営バス　出合四季美谷線" 6
"routes.txt" "route_long_name" "那賀町営バス　出合沢谷線" 7
"routes.txt" "route_long_name" "那賀町営バス　沢谷線" 8
"routes.txt" "route_long_name" "那賀町営バス　出原・学校前線" 9
"routes.txt" "route_long_name" "那賀町営バス　出原線" 10
"routes.txt" "route_long_name" "那賀町営バス　北川出原線" 11
"routes.txt" "route_long_name" "那賀町営バス　木頭学校線" 12
"routes.txt" "route_long_name" "那賀町営バス　和無田線" 13
"stops.txt" "stop_name" "平野（木頭）" 136
"stops.txt" "stop_name" "平野（木頭）" 137
non_ascii_or_non_printable_char WARNING 1452

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 1452 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"
"calendar.txt" 3 "service_id" "夏時間"
"calendar.txt" 4 "service_id" "冬時間"
"calendar.txt" 5 "service_id" "日～金曜"
"calendar.txt" 6 "service_id" "土曜"
"calendar.txt" 7 "service_id" "平日のみ"
"calendar.txt" 8 "service_id" "水曜"
"calendar_dates.txt" 2 "service_id" "夏時間"
"calendar_dates.txt" 3 "service_id" "夏時間"
"calendar_dates.txt" 4 "service_id" "夏時間"
"calendar_dates.txt" 5 "service_id" "夏時間"
"calendar_dates.txt" 6 "service_id" "夏時間"
"calendar_dates.txt" 7 "service_id" "夏時間"
"calendar_dates.txt" 8 "service_id" "夏時間"
"calendar_dates.txt" 9 "service_id" "夏時間"
"calendar_dates.txt" 10 "service_id" "夏時間"
"calendar_dates.txt" 11 "service_id" "夏時間"
"calendar_dates.txt" 12 "service_id" "夏時間"
"calendar_dates.txt" 13 "service_id" "夏時間"
"calendar_dates.txt" 14 "service_id" "夏時間"
"calendar_dates.txt" 15 "service_id" "夏時間"
"calendar_dates.txt" 16 "service_id" "夏時間"
"calendar_dates.txt" 17 "service_id" "夏時間"
"calendar_dates.txt" 18 "service_id" "夏時間"
"calendar_dates.txt" 19 "service_id" "夏時間"
"calendar_dates.txt" 20 "service_id" "夏時間"
"calendar_dates.txt" 21 "service_id" "夏時間"
"calendar_dates.txt" 22 "service_id" "夏時間"
"calendar_dates.txt" 23 "service_id" "夏時間"
"calendar_dates.txt" 24 "service_id" "夏時間"
"calendar_dates.txt" 25 "service_id" "夏時間"
"calendar_dates.txt" 26 "service_id" "夏時間"
"calendar_dates.txt" 27 "service_id" "夏時間"
"calendar_dates.txt" 28 "service_id" "夏時間"
"calendar_dates.txt" 29 "service_id" "夏時間"
"calendar_dates.txt" 30 "service_id" "夏時間"
"calendar_dates.txt" 31 "service_id" "夏時間"
"calendar_dates.txt" 32 "service_id" "夏時間"
"calendar_dates.txt" 33 "service_id" "夏時間"
"calendar_dates.txt" 34 "service_id" "夏時間"
"calendar_dates.txt" 35 "service_id" "夏時間"
"calendar_dates.txt" 36 "service_id" "夏時間"
"calendar_dates.txt" 37 "service_id" "夏時間"
"calendar_dates.txt" 38 "service_id" "夏時間"
"calendar_dates.txt" 39 "service_id" "夏時間"
"calendar_dates.txt" 40 "service_id" "夏時間"
"calendar_dates.txt" 41 "service_id" "夏時間"
"calendar_dates.txt" 42 "service_id" "夏時間"
"calendar_dates.txt" 43 "service_id" "夏時間"
"calendar_dates.txt" 44 "service_id" "夏時間"
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