minamishinshu-minamishinshu-nanbu-1 — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-04T01:36:09Z,
for the dataset file:///shared/minamishinshu-minamishinshu-nanbu-1_4461c510.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
下伊那南部地域公共交通対策協議会
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-04-01
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. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. transfers.txt
  12. translations.txt
  13. trips.txt

Counts


  • Agencies: 1
  • Blocks: 6
  • Routes: 3
  • Shapes: 24
  • Stops: 145
  • Trips: 32

Specification Compliance report

1748 notices reported (121 errors, 1625 warnings, 2 infos)

Notice Code Severity Total
duplicate_key ERROR 121

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

Only the first 50 of 121 affected records are displayed below.

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.
"fare_rules.txt" 2111 4640 "fare_id,origin_id,destination_id" "100,3045,3044"
"fare_rules.txt" 2112 4641 "fare_id,origin_id,destination_id" "100,3045,3043"
"fare_rules.txt" 2113 4642 "fare_id,origin_id,destination_id" "100,3045,3042"
"fare_rules.txt" 2114 4643 "fare_id,origin_id,destination_id" "100,3045,3041"
"fare_rules.txt" 2115 4644 "fare_id,origin_id,destination_id" "100,3045,3040"
"fare_rules.txt" 2116 4645 "fare_id,origin_id,destination_id" "100,3045,3038"
"fare_rules.txt" 2117 4646 "fare_id,origin_id,destination_id" "100,3045,3037"
"fare_rules.txt" 2118 4647 "fare_id,origin_id,destination_id" "100,3045,3036"
"fare_rules.txt" 2119 4648 "fare_id,origin_id,destination_id" "100,3045,3035"
"fare_rules.txt" 2120 4649 "fare_id,origin_id,destination_id" "100,3045,3034"
"fare_rules.txt" 2121 4650 "fare_id,origin_id,destination_id" "100,3045,3045"
"fare_rules.txt" 2150 4688 "fare_id,origin_id,destination_id" "100,3044,3043"
"fare_rules.txt" 2151 4689 "fare_id,origin_id,destination_id" "100,3044,3042"
"fare_rules.txt" 2152 4690 "fare_id,origin_id,destination_id" "100,3044,3041"
"fare_rules.txt" 2153 4691 "fare_id,origin_id,destination_id" "100,3044,3040"
"fare_rules.txt" 2154 4692 "fare_id,origin_id,destination_id" "100,3044,3038"
"fare_rules.txt" 2155 4693 "fare_id,origin_id,destination_id" "100,3044,3037"
"fare_rules.txt" 2156 4694 "fare_id,origin_id,destination_id" "100,3044,3036"
"fare_rules.txt" 2157 4695 "fare_id,origin_id,destination_id" "100,3044,3035"
"fare_rules.txt" 2158 4696 "fare_id,origin_id,destination_id" "100,3044,3034"
"fare_rules.txt" 2159 4697 "fare_id,origin_id,destination_id" "100,3044,3044"
"fare_rules.txt" 2160 4698 "fare_id,origin_id,destination_id" "100,3044,3045"
"fare_rules.txt" 2189 4736 "fare_id,origin_id,destination_id" "100,3043,3042"
"fare_rules.txt" 2190 4737 "fare_id,origin_id,destination_id" "100,3043,3041"
"fare_rules.txt" 2191 4738 "fare_id,origin_id,destination_id" "100,3043,3040"
"fare_rules.txt" 2192 4739 "fare_id,origin_id,destination_id" "100,3043,3038"
"fare_rules.txt" 2193 4740 "fare_id,origin_id,destination_id" "100,3043,3037"
"fare_rules.txt" 2194 4741 "fare_id,origin_id,destination_id" "100,3043,3036"
"fare_rules.txt" 2195 4742 "fare_id,origin_id,destination_id" "100,3043,3035"
"fare_rules.txt" 2196 4743 "fare_id,origin_id,destination_id" "100,3043,3034"
"fare_rules.txt" 2197 4744 "fare_id,origin_id,destination_id" "100,3043,3043"
"fare_rules.txt" 2198 4745 "fare_id,origin_id,destination_id" "100,3043,3044"
"fare_rules.txt" 2199 4746 "fare_id,origin_id,destination_id" "100,3043,3045"
"fare_rules.txt" 2228 4784 "fare_id,origin_id,destination_id" "100,3042,3041"
"fare_rules.txt" 2229 4785 "fare_id,origin_id,destination_id" "100,3042,3040"
"fare_rules.txt" 2230 4786 "fare_id,origin_id,destination_id" "100,3042,3038"
"fare_rules.txt" 2231 4787 "fare_id,origin_id,destination_id" "100,3042,3037"
"fare_rules.txt" 2232 4788 "fare_id,origin_id,destination_id" "100,3042,3036"
"fare_rules.txt" 2233 4789 "fare_id,origin_id,destination_id" "100,3042,3035"
"fare_rules.txt" 2234 4790 "fare_id,origin_id,destination_id" "100,3042,3034"
"fare_rules.txt" 2235 4791 "fare_id,origin_id,destination_id" "100,3042,3042"
"fare_rules.txt" 2236 4792 "fare_id,origin_id,destination_id" "100,3042,3043"
"fare_rules.txt" 2237 4793 "fare_id,origin_id,destination_id" "100,3042,3044"
"fare_rules.txt" 2238 4794 "fare_id,origin_id,destination_id" "100,3042,3045"
"fare_rules.txt" 2267 4832 "fare_id,origin_id,destination_id" "100,3041,3040"
"fare_rules.txt" 2268 4833 "fare_id,origin_id,destination_id" "100,3041,3038"
"fare_rules.txt" 2269 4834 "fare_id,origin_id,destination_id" "100,3041,3037"
"fare_rules.txt" 2270 4835 "fare_id,origin_id,destination_id" "100,3041,3036"
"fare_rules.txt" 2271 4836 "fare_id,origin_id,destination_id" "100,3041,3035"
"fare_rules.txt" 2272 4837 "fare_id,origin_id,destination_id" "100,3041,3034"
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 "3" 4 "4" "" "S0 南部公共バス 阿南線" 3 "4000020204048"
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 6

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"
"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"
mixed_case_recommended_field WARNING 3

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" "S1 南部公共バス 温田線" 2
"routes.txt" "route_long_name" "S0 南部公共バス 阿南線" 3
"routes.txt" "route_long_name" "S0 南部公共バス 阿南線" 4
non_ascii_or_non_printable_char WARNING 1614

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 1614 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" "平日"
"calendar.txt" 3 "service_id" "4~11月"
"calendar.txt" 4 "service_id" "冬季期間(12~3月)"
"calendar_dates.txt" 2 "service_id" "4~11月"
"calendar_dates.txt" 3 "service_id" "4~11月"
"calendar_dates.txt" 4 "service_id" "4~11月"
"calendar_dates.txt" 5 "service_id" "4~11月"
"calendar_dates.txt" 6 "service_id" "4~11月"
"calendar_dates.txt" 7 "service_id" "4~11月"
"calendar_dates.txt" 8 "service_id" "4~11月"
"calendar_dates.txt" 9 "service_id" "4~11月"
"calendar_dates.txt" 10 "service_id" "4~11月"
"calendar_dates.txt" 11 "service_id" "4~11月"
"calendar_dates.txt" 12 "service_id" "4~11月"
"calendar_dates.txt" 13 "service_id" "4~11月"
"calendar_dates.txt" 14 "service_id" "4~11月"
"calendar_dates.txt" 15 "service_id" "4~11月"
"calendar_dates.txt" 16 "service_id" "4~11月"
"calendar_dates.txt" 17 "service_id" "4~11月"
"calendar_dates.txt" 18 "service_id" "4~11月"
"calendar_dates.txt" 19 "service_id" "4~11月"
"calendar_dates.txt" 20 "service_id" "4~11月"
"calendar_dates.txt" 21 "service_id" "4~11月"
"calendar_dates.txt" 22 "service_id" "4~11月"
"calendar_dates.txt" 23 "service_id" "4~11月"
"calendar_dates.txt" 24 "service_id" "4~11月"
"calendar_dates.txt" 25 "service_id" "4~11月"
"calendar_dates.txt" 26 "service_id" "4~11月"
"calendar_dates.txt" 27 "service_id" "4~11月"
"calendar_dates.txt" 28 "service_id" "4~11月"
"calendar_dates.txt" 29 "service_id" "4~11月"
"calendar_dates.txt" 30 "service_id" "4~11月"
"calendar_dates.txt" 31 "service_id" "4~11月"
"calendar_dates.txt" 32 "service_id" "4~11月"
"calendar_dates.txt" 33 "service_id" "4~11月"
"calendar_dates.txt" 34 "service_id" "4~11月"
"calendar_dates.txt" 35 "service_id" "4~11月"
"calendar_dates.txt" 36 "service_id" "4~11月"
"calendar_dates.txt" 37 "service_id" "4~11月"
"calendar_dates.txt" 38 "service_id" "4~11月"
"calendar_dates.txt" 39 "service_id" "4~11月"
"calendar_dates.txt" 40 "service_id" "4~11月"
"calendar_dates.txt" 41 "service_id" "4~11月"
"calendar_dates.txt" 42 "service_id" "4~11月"
"calendar_dates.txt" 43 "service_id" "4~11月"
"calendar_dates.txt" 44 "service_id" "4~11月"
"calendar_dates.txt" 45 "service_id" "4~11月"
"calendar_dates.txt" 46 "service_id" "4~11月"
"calendar_dates.txt" 47 "service_id" "4~11月"
"calendar_dates.txt" 48 "service_id" "4~11月"
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