GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T15:40:41Z,
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:
ジョルダン株式会社
Publisher URL:
https://www.jorudan.co.jp
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-01-20
Feed End Date:
2026-07-19

Files included

  1. agency.txt
  2. agency_jp.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. feed_info.txt
  8. pass_attributes.txt
  9. pass_rules.txt
  10. routes.txt
  11. stop_times.txt
  12. stops.txt
  13. translations.txt
  14. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 3
  • Shapes: 0
  • Stops: 76
  • Trips: 75

Specification Compliance report

1105 notices reported (0 errors, 1096 warnings, 9 infos)

Notice Code Severity Total
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 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"
missing_timepoint_value WARNING 1064

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 1064 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "T0118000001" 0
3 "T0118000001" 1
4 "T0118000001" 2
5 "T0118000001" 3
6 "T0118000001" 4
7 "T0118000001" 5
8 "T0118000001" 6
9 "T0118000001" 7
10 "T0118000001" 8
11 "T0118000001" 9
12 "T0118000001" 10
13 "T0118000001" 11
14 "T0118000001" 12
15 "T0118000001" 13
16 "T0118000001" 14
17 "T0118000001" 15
18 "T0118000002" 0
19 "T0118000002" 1
20 "T0118000002" 2
21 "T0118000002" 3
22 "T0118000002" 4
23 "T0118000002" 5
24 "T0118000002" 6
25 "T0118000002" 7
26 "T0118000002" 8
27 "T0118000002" 9
28 "T0118000002" 10
29 "T0118000002" 11
30 "T0118000002" 12
31 "T0118000002" 13
32 "T0118000002" 14
33 "T0118000002" 15
34 "T0118000002" 16
35 "T0118000003" 0
36 "T0118000003" 1
37 "T0118000003" 2
38 "T0118000003" 3
39 "T0118000003" 4
40 "T0118000003" 5
41 "T0118000003" 6
42 "T0118000003" 7
43 "T0118000003" 8
44 "T0118000003" 9
45 "T0118000003" 10
46 "T0118000003" 11
47 "T0118000003" 12
48 "T0118000003" 13
49 "T0118000003" 14
50 "T0118000003" 15
51 "T0118000003" 16
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_long_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
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 "S011800000100100" "円山公園駅前"
53 "S011800002900200" "地下鉄真駒内駅"
unknown_column INFO 4

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.
"routes.txt" "jp_parent_route_id" 10
"trips.txt" "jp_trip_desc" 11
"trips.txt" "jp_trip_desc_symbol" 12
"trips.txt" "jp_office_id" 13
unknown_file INFO 3

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"agency_jp.txt"
"pass_attributes.txt"
"pass_rules.txt"