GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T22:38:57Z,
for the dataset file:///shared/chiryucity-communitybus.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:
2024-10-24
Feed End Date:
2025-12-31

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: 0
  • Routes: 5
  • Shapes: 12
  • Stops: 105
  • Trips: 92

Specification Compliance report

2755 notices reported (1 errors, 2754 warnings, 0 infos)

Notice Code Severity Total
duplicate_key ERROR 1

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" 4 5 "fare_id,route_id" "105309-100,105309-30"
feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

Dataset should cover at least the next 30 days of service.

At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally for as long as the operator is confident that the schedule will continue to be operated.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20251205" "20251231" "20260104"
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 11

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" "ミニバス1コース(グリーンコース)" 2
"routes.txt" "route_long_name" "ミニバス2コース(パープルコース)" 3
"routes.txt" "route_long_name" "ミニバス3コース(オレンジコース)" 4
"routes.txt" "route_long_name" "ミニバス4コース(ブルーコース)" 5
"routes.txt" "route_long_name" "ミニバス5コース(イエローコース)" 6
"stops.txt" "stop_name" "昭和1丁目" 60
"stops.txt" "stop_name" "昭和5丁目" 62
"stops.txt" "stop_name" "昭和4丁目" 63
"stops.txt" "stop_name" "昭和3丁目" 65
"stops.txt" "stop_name" "昭和2丁目" 66
"stops.txt" "stop_name" "昭和1号公園" 71
non_ascii_or_non_printable_char WARNING 2740

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 2740 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" 4 "service_id" "105309-全日(1コース)"
"calendar.txt" 5 "service_id" "105309-全日(2・4コース文化会館閉館日)"
"calendar.txt" 6 "service_id" "105309-全日(2・4コース文化会館開館日)"
"calendar.txt" 7 "service_id" "105309-全日(3コース弘法命日除)"
"calendar.txt" 8 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 3 "service_id" "105309-全日(2・4コース文化会館閉館日)"
"calendar_dates.txt" 4 "service_id" "105309-全日(2・4コース文化会館閉館日)"
"calendar_dates.txt" 5 "service_id" "105309-全日(2・4コース文化会館開館日)"
"calendar_dates.txt" 6 "service_id" "105309-全日(2・4コース文化会館開館日)"
"calendar_dates.txt" 7 "service_id" "105309-全日(2・4コース文化会館開館日)"
"calendar_dates.txt" 8 "service_id" "105309-全日(2・4コース文化会館開館日)"
"calendar_dates.txt" 9 "service_id" "105309-全日(2・4コース文化会館開館日)"
"calendar_dates.txt" 10 "service_id" "105309-全日(3コース弘法命日除)"
"calendar_dates.txt" 11 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 12 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 13 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 14 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 15 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 16 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 17 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 18 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 19 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 20 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 21 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 22 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 23 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 24 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 25 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 26 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 27 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 28 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 29 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 30 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 31 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 32 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 33 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 34 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 35 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 36 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 37 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 38 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 39 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 40 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 41 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 42 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 43 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 44 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 45 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 46 "service_id" "105309-全日(年末)"
"calendar_dates.txt" 47 "service_id" "105309-全日(年末)"
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.
"20251205" "20241024" "20251121"