GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T22:26:05Z,
for the dataset file:///shared/toyoakecity-himawaribus.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Email:
alex@busmaps.com
Feed Language:
Japanese
Feed Start Date:
2025-04-01
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. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. trips.txt

Counts

  • Agencies: 1
  • Blocks: 2
  • Routes: 10
  • Shapes: 13
  • Stops: 129
  • Trips: 30

Specification Compliance report

881 notices reported (3 errors, 878 warnings, 0 infos)

Notice Code Severity Total
duplicate_key ERROR 3

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.
"fare_rules.txt" 3 5 "fare_id,route_id" "105280-運賃表１_01,105280-CR2"
"fare_rules.txt" 4 6 "fare_id,route_id" "105280-運賃表１_01,105280-CR3"
"fare_rules.txt" 8 12 "fare_id,route_id" "105280-運賃表１_01,105280-CB1"
missing_recommended_field WARNING 1

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"
mixed_case_recommended_field WARNING 9

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" "中央循環赤コース（文化会館発）" 2
"routes.txt" "route_long_name" "中央循環赤コース（終点文化会館）" 3
"routes.txt" "route_long_name" "中央循環赤コース（起点文化会館→藤田）" 4
"routes.txt" "route_long_name" "中央循環赤コース（藤田医科大行かず）" 5
"routes.txt" "route_long_name" "中央循環青コース（豊明駅行かず）" 7
"routes.txt" "route_long_name" "中央循環青コース（藤田医科大行かず）" 8
"routes.txt" "route_long_name" "中央循環青コース（藤田・豊明駅行かず）" 9
"stops.txt" "stop_name" "二村台７丁目" 7
"stops.txt" "stop_name" "二村台７丁目" 85
non_ascii_or_non_printable_char WARNING 866

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 866 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" "105280-毎日"
"calendar_dates.txt" 2 "service_id" "105280-毎日"
"calendar_dates.txt" 3 "service_id" "105280-毎日"
"calendar_dates.txt" 4 "service_id" "105280-毎日"
"calendar_dates.txt" 5 "service_id" "105280-毎日"
"calendar_dates.txt" 6 "service_id" "105280-毎日"
"calendar_dates.txt" 7 "service_id" "105280-毎日"
"stop_times.txt" 2 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 3 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 4 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 5 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 6 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 7 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 8 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 9 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 10 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 11 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 12 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 13 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 14 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 15 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 16 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 17 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 18 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 19 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 20 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 21 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 22 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 23 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 24 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 25 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 26 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 27 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 28 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 29 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 30 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 31 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 32 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 33 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 34 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 35 "trip_id" "105280-CR3+毎日+3"
"stop_times.txt" 36 "trip_id" "105280-CR5+毎日+5"
"stop_times.txt" 37 "trip_id" "105280-CR5+毎日+5"
"stop_times.txt" 38 "trip_id" "105280-CR5+毎日+5"
"stop_times.txt" 39 "trip_id" "105280-CR5+毎日+5"
"stop_times.txt" 40 "trip_id" "105280-CR5+毎日+5"
"stop_times.txt" 41 "trip_id" "105280-CR5+毎日+5"
"stop_times.txt" 42 "trip_id" "105280-CR5+毎日+5"
"stop_times.txt" 43 "trip_id" "105280-CR5+毎日+5"
"stop_times.txt" 44 "trip_id" "105280-CR5+毎日+5"
stop_too_far_from_shape WARNING 2

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
26 "105280-SP" "105280-SP+毎日+1" 650 "105280-19" "仙人塚" [35.05530302566049,136.99175905025717] 173.28294399634768
19 "105280-SG" "105280-SG+毎日+1" 489 "105280-19" "仙人塚" [35.05530302566049,136.99175905025717] 173.28294399634768