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nakatown-nakatownbus — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-24T10:18:54Z,
for the dataset file:///shared/nakatown-nakatownbus_4914245f.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:
2026-04-22
Feed End Date:
2027-03-31

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: 8
  • Shapes: 0
  • Stops: 99
  • Trips: 34

Specification Compliance report

1352 notices reported (38 errors, 1312 warnings, 2 infos)

Notice Code Severity Total
duplicate_key ERROR 4

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

filename (?) The name of the faulty file oldCsvRowNumber (?) The row of the first occurrence. newCsvRowNumber (?) The row of the other occurrence. fieldName1 (?) Composite key's first field name. fieldValue1 (?) Composite key's first value.
"translations.txt" 210 212 "table_name,field_name,language,field_value" "stop_times,stop_headsign,en,出原"
"translations.txt" 211 214 "table_name,field_name,language,field_value" "stop_times,stop_headsign,en,日和田"
"translations.txt" 211 216 "table_name,field_name,language,field_value" "stop_times,stop_headsign,en,日和田"
"translations.txt" 213 218 "table_name,field_name,language,field_value" "stop_times,stop_headsign,en,役場相生庁舎前"
foreign_key_violation ERROR 34

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" "sp1021" 19
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1021" 20
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1021" 21
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1022" 22
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1022" 23
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1111" 24
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1111" 25
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1121" 26
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1311" 27
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1311" 28
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1311" 29
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1311" 30
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1321" 31
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1321" 32
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1321" 33
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1321" 34
"trips.txt" "shape_id" "shapes.txt" "shape_id" "sp1321" 35
duplicate_route_name WARNING 1

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`.
3 "10C" 4 "11" "" "那賀町営バス　那賀高線" 3 "5000020363685"
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 62

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 62 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 10

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　竹ヶ谷線" 2
"routes.txt" "route_long_name" "那賀町営バス　那賀高線" 3
"routes.txt" "route_long_name" "那賀町営バス　那賀高線" 4
"routes.txt" "route_long_name" "那賀町営バス　和無田線" 5
"routes.txt" "route_long_name" "那賀町営バス　出原・学校前線" 6
"routes.txt" "route_long_name" "那賀町営バス　出原線" 7
"routes.txt" "route_long_name" "那賀町営バス　北川出原線" 8
"routes.txt" "route_long_name" "那賀町営バス　木頭学校線" 9
"stops.txt" "stop_name" "平野（木頭）" 75
"stops.txt" "stop_name" "平野（木頭）" 76
non_ascii_or_non_printable_char WARNING 1238

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 1238 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