GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T18:59:11Z,
for the dataset file:///shared/kudaka-kayun.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
久高海運
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2025-09-26
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. frequencies.txt
  8. routes.txt
  9. shapes.txt
  10. stop_times.txt
  11. stops.txt
  12. transfers.txt
  13. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 4
  • Shapes: 4
  • Stops: 2
  • Trips: 30

Specification Compliance report

103 notices reported (0 errors, 103 warnings, 0 infos)

Notice Code Severity Total
expired_calendar WARNING 2

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
3 "ドッグ運航"
4 "高速船ドック日程"
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 "20251212" "20251231" "20260111"
missing_bike_allowance WARNING 30

missing_bike_allowance

Ferry trips should include bike allowance information.

All ferry trips should have a valid value in the bikes_allowed field in trips.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
2 "108" "7c2c66f3ab1e9fbfd03bdef7056805e5"
3 "108" "fce10ebbf9c4d2d5e434b115d85f3a09"
4 "108" "5a81a7e28c27e98a58b80442e773c05c"
5 "108" "75fdbbe796a0dccade48c5afe2b13a20"
6 "108" "0cb69311de02cc65b85ef56d1ace71e2"
7 "108" "2fdc39db45281391400cbe55ae3ea4f6"
8 "108" "dc6b991ad926ca8ea640c8373c2fbb49"
9 "109" "154fdd8387920ebed1847ec47b28550a"
10 "109" "20804b13ac04271a05146dc3d40ded4b"
11 "109" "aa0e69cdd03bd44f78a8db401f90080e"
12 "109" "79e6a61a15c5939fdd39b03035b2584c"
13 "109" "a351b5386d6b4c0c7f782dca1cc4b2d0"
14 "109" "5186dcbd8c87fe4b9f353d5f760d87ec"
15 "109" "8193f5a99eb097bda32f9ab22282e845"
16 "110" "ffe68d3fc2430dee417b8e099116e07e"
17 "110" "2cd03a6eb8020f77b803a22fbc720249"
18 "110" "ee13ab8cbc75418d0ef6dcbf345b33df"
19 "110" "44aa85ee2cfea3eec5a3bd72a971ab0b"
20 "110" "141d39208d4969f5e85ee930e7cd4f0b"
21 "110" "e06fc28283ee15b0a8b280f4abbf3b48"
22 "110" "1e8167f91734996b336cd1f862cd6b69"
23 "110" "5af4ac9806af591cd296291e380bd192"
24 "111" "5dbd5175ee6b92b7f0cedcfd7c920173"
25 "111" "44e3fe6bf8fe1d93d98cafb3b179dcad"
26 "111" "aeb5660b97605398cb5cdee1f4fc33fe"
27 "111" "0eb3ada6e7054a91a884ab3d42bf163e"
28 "111" "453426ffb6679a30d8cb2c4666b86810"
29 "111" "a601d3e198ccf1657d1d6983f1b34b82"
30 "111" "328078913837fbc1229820bdf1113625"
31 "111" "5c9476d2af43f4e51ab592d4a3cacda0"
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.
"feed_info.txt" 2 "feed_version"
"fare_attributes.txt" 2 "agency_id"
"fare_attributes.txt" 3 "agency_id"
"fare_attributes.txt" 4 "agency_id"
"fare_attributes.txt" 5 "agency_id"
mixed_case_recommended_field WARNING 4

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" "フェリーくだかⅢ 安座真港発-徳仁港行き" 2
"routes.txt" "route_long_name" "フェリーくだかⅢ 徳仁港発-安座真港行き" 3
"routes.txt" "route_long_name" "高速船 ニューくだかⅢ 安座真港発-徳仁港行き" 4
"routes.txt" "route_long_name" "高速船 ニューくだかⅢ 徳仁港発-安座真港行き" 5
non_ascii_or_non_printable_char WARNING 60

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 60 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_dates.txt" 2 "service_id" "全日"
"calendar_dates.txt" 3 "service_id" "全日"
"calendar_dates.txt" 4 "service_id" "全日"
"calendar_dates.txt" 5 "service_id" "全日"
"calendar_dates.txt" 6 "service_id" "全日"
"calendar_dates.txt" 7 "service_id" "全日"
"calendar_dates.txt" 8 "service_id" "全日"
"calendar_dates.txt" 9 "service_id" "全日"
"calendar_dates.txt" 10 "service_id" "全日"
"calendar_dates.txt" 11 "service_id" "全日"
"calendar_dates.txt" 12 "service_id" "全日"
"calendar_dates.txt" 13 "service_id" "全日"
"calendar_dates.txt" 14 "service_id" "全日"
"calendar_dates.txt" 15 "service_id" "全日"
"calendar_dates.txt" 16 "service_id" "全日"
"calendar_dates.txt" 17 "service_id" "全日"
"calendar_dates.txt" 18 "service_id" "全日"
"calendar_dates.txt" 19 "service_id" "全日"
"calendar_dates.txt" 20 "service_id" "全日"
"calendar_dates.txt" 21 "service_id" "全日"
"calendar_dates.txt" 22 "service_id" "全日"
"calendar_dates.txt" 23 "service_id" "全日"
"calendar_dates.txt" 24 "service_id" "全日"
"calendar_dates.txt" 25 "service_id" "全日"
"calendar_dates.txt" 26 "service_id" "全日"
"calendar_dates.txt" 27 "service_id" "全日"
"calendar_dates.txt" 28 "service_id" "全日"
"calendar.txt" 2 "service_id" "全日"
"calendar.txt" 3 "service_id" "ドッグ運航"
"calendar.txt" 4 "service_id" "高速船ドック日程"
"trips.txt" 2 "service_id" "全日"
"trips.txt" 3 "service_id" "全日"
"trips.txt" 4 "service_id" "全日"
"trips.txt" 5 "service_id" "高速船ドック日程"
"trips.txt" 6 "service_id" "高速船ドック日程"
"trips.txt" 7 "service_id" "高速船ドック日程"
"trips.txt" 8 "service_id" "高速船ドック日程"
"trips.txt" 9 "service_id" "全日"
"trips.txt" 10 "service_id" "全日"
"trips.txt" 11 "service_id" "全日"
"trips.txt" 12 "service_id" "高速船ドック日程"
"trips.txt" 13 "service_id" "高速船ドック日程"
"trips.txt" 14 "service_id" "高速船ドック日程"
"trips.txt" 15 "service_id" "高速船ドック日程"
"trips.txt" 16 "service_id" "全日"
"trips.txt" 17 "service_id" "全日"
"trips.txt" 18 "service_id" "全日"
"trips.txt" 19 "service_id" "ドッグ運航"
"trips.txt" 20 "service_id" "ドッグ運航"
"trips.txt" 21 "service_id" "ドッグ運航"