GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T17:10:20Z,
for the dataset file:///shared/bankei-bus.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:
2025-12-20
Feed End Date:
2026-06-19

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. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 3
  • Shapes: 0
  • Stops: 76
  • Trips: 76

Specification Compliance report

34 notices reported (0 errors, 32 warnings, 2 infos)

Notice Code Severity Total
missing_recommended_field WARNING 5

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"
mixed_case_recommended_field WARNING 26

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_short_name" "発寒南・真駒内線" 4
"stops.txt" "stop_name" "北1条西27丁目" 3
"stops.txt" "stop_name" "北1条西27丁目" 4
"stops.txt" "stop_name" "宮の森1条10丁目" 7
"stops.txt" "stop_name" "宮の森1条10丁目" 8
"stops.txt" "stop_name" "宮の森2条16丁目" 15
"stops.txt" "stop_name" "宮の森2条17丁目" 16
"stops.txt" "stop_name" "宮の森2条17丁目" 17
"stops.txt" "stop_name" "宮の森1条18丁目" 18
"stops.txt" "stop_name" "宮の森1条18丁目" 19
"stops.txt" "stop_name" "西野3条2丁目" 34
"stops.txt" "stop_name" "西野3条2丁目" 35
"stops.txt" "stop_name" "西野8条3丁目" 38
"stops.txt" "stop_name" "西野8条3丁目" 39
"stops.txt" "stop_name" "福井8丁目" 40
"stops.txt" "stop_name" "福井8丁目" 41
"stops.txt" "stop_name" "川沿1条5丁目" 48
"stops.txt" "stop_name" "川沿1条5丁目" 49
"stops.txt" "stop_name" "川沿1条1丁目" 50
"stops.txt" "stop_name" "川沿1条1丁目" 51
"stops.txt" "stop_name" "南町3丁目" 54
"stops.txt" "stop_name" "南町3丁目" 55
"stops.txt" "stop_name" "南町6丁目" 56
"stops.txt" "stop_name" "南町6丁目" 57
"stops.txt" "stop_name" "南町7丁目" 58
"stops.txt" "stop_name" "南町7丁目" 59
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" "20251220" "20260331"
platform_without_parent_station INFO 2

platform_without_parent_station

A platform has no parent_station field set.

This is different from location_without_parent_station since it is less severe.

You can see more about this notice here.

csvRowNumber (?) Row number of the faulty record. stopId (?) The id of the faulty record. stopName (?) The stop name of the faulty record.
2 "1466-S011800000100100" "円山公園駅前"
53 "1466-S011800002900200" "地下鉄真駒内駅"