GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T19:00:16Z,
for the dataset file:///shared/okinawa-monorail.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
特定非営利活動法人OTTOP
Publisher URL:
https://ottop.org
Feed Email:
transit@ottop.org
Feed Language:
Japanese
Feed Start Date:
2025-11-26
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: 2
  • Shapes: 2
  • Stops: 19
  • Trips: 3468

Specification Compliance report

3892 notices reported (0 errors, 3892 warnings, 0 infos)

Notice Code Severity Total
expired_calendar WARNING 9

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.
2 "平日_240114"
4 "毎週金_240114"
5 "夏季平日臨時ダイヤ_240507"
6 "休日増便臨時ダイヤ_250501"
7 "臨時ダイヤ標準時刻表_20250503-0506"
11 "那覇大綱挽まつり_240502"
12 "那覇大綱挽まつり_230502"
13 "産業まつり _250503"
14 "NAHAマラソン_250504"
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_recommended_field WARNING 343

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.

Only the first 50 of 343 affected records are displayed below.

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"
"fare_attributes.txt" 6 "agency_id"
"fare_attributes.txt" 7 "agency_id"
"fare_attributes.txt" 8 "agency_id"
"fare_attributes.txt" 9 "agency_id"
"fare_attributes.txt" 10 "agency_id"
"fare_attributes.txt" 11 "agency_id"
"fare_attributes.txt" 12 "agency_id"
"fare_attributes.txt" 13 "agency_id"
"fare_attributes.txt" 14 "agency_id"
"fare_attributes.txt" 15 "agency_id"
"fare_attributes.txt" 16 "agency_id"
"fare_attributes.txt" 17 "agency_id"
"fare_attributes.txt" 18 "agency_id"
"fare_attributes.txt" 19 "agency_id"
"fare_attributes.txt" 20 "agency_id"
"fare_attributes.txt" 21 "agency_id"
"fare_attributes.txt" 22 "agency_id"
"fare_attributes.txt" 23 "agency_id"
"fare_attributes.txt" 24 "agency_id"
"fare_attributes.txt" 25 "agency_id"
"fare_attributes.txt" 26 "agency_id"
"fare_attributes.txt" 27 "agency_id"
"fare_attributes.txt" 28 "agency_id"
"fare_attributes.txt" 29 "agency_id"
"fare_attributes.txt" 30 "agency_id"
"fare_attributes.txt" 31 "agency_id"
"fare_attributes.txt" 32 "agency_id"
"fare_attributes.txt" 33 "agency_id"
"fare_attributes.txt" 34 "agency_id"
"fare_attributes.txt" 35 "agency_id"
"fare_attributes.txt" 36 "agency_id"
"fare_attributes.txt" 37 "agency_id"
"fare_attributes.txt" 38 "agency_id"
"fare_attributes.txt" 39 "agency_id"
"fare_attributes.txt" 40 "agency_id"
"fare_attributes.txt" 41 "agency_id"
"fare_attributes.txt" 42 "agency_id"
"fare_attributes.txt" 43 "agency_id"
"fare_attributes.txt" 44 "agency_id"
"fare_attributes.txt" 45 "agency_id"
"fare_attributes.txt" 46 "agency_id"
"fare_attributes.txt" 47 "agency_id"
"fare_attributes.txt" 48 "agency_id"
"fare_attributes.txt" 49 "agency_id"
"fare_attributes.txt" 50 "agency_id"
mixed_case_recommended_field WARNING 2

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" "沖縄都市モノレール線(下り:てだこ浦西方面)" 2
"routes.txt" "route_long_name" "沖縄都市モノレール(上り:那覇空港方面)" 3
non_ascii_or_non_printable_char WARNING 3537

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 3537 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" "平日_240114"
"calendar_dates.txt" 3 "service_id" "平日_240114"
"calendar_dates.txt" 4 "service_id" "平日_240114"
"calendar_dates.txt" 5 "service_id" "平日_240114"
"calendar_dates.txt" 6 "service_id" "平日_240114"
"calendar_dates.txt" 7 "service_id" "平日_240114"
"calendar_dates.txt" 8 "service_id" "毎週金_240114"
"calendar_dates.txt" 9 "service_id" "毎週金_240114"
"calendar_dates.txt" 10 "service_id" "毎週金_240114"
"calendar_dates.txt" 11 "service_id" "毎週金_240114"
"calendar_dates.txt" 12 "service_id" "夏季平日臨時ダイヤ_240507"
"calendar_dates.txt" 13 "service_id" "夏季平日臨時ダイヤ_240507"
"calendar_dates.txt" 14 "service_id" "夏季平日臨時ダイヤ_240507"
"calendar_dates.txt" 15 "service_id" "夏季平日臨時ダイヤ_240507"
"calendar_dates.txt" 16 "service_id" "夏季平日臨時ダイヤ_240507"
"calendar_dates.txt" 17 "service_id" "夏季平日臨時ダイヤ_240507"
"calendar_dates.txt" 18 "service_id" "夏季平日臨時ダイヤ_240507"
"calendar_dates.txt" 19 "service_id" "夏季平日臨時ダイヤ_240507"
"calendar_dates.txt" 20 "service_id" "夏季平日臨時ダイヤ_240507"
"calendar_dates.txt" 21 "service_id" "夏季平日臨時ダイヤ_240507"
"calendar_dates.txt" 22 "service_id" "休日増便臨時ダイヤ_250501"
"calendar_dates.txt" 23 "service_id" "休日増便臨時ダイヤ_250501"
"calendar_dates.txt" 24 "service_id" "休日増便臨時ダイヤ_250501"
"calendar_dates.txt" 25 "service_id" "平日_250115"
"calendar_dates.txt" 26 "service_id" "平日_250115"
"calendar_dates.txt" 27 "service_id" "平日_250115"
"calendar_dates.txt" 28 "service_id" "平日_250115"
"calendar_dates.txt" 29 "service_id" "休日増便_250502"
"calendar_dates.txt" 30 "service_id" "休日増便_250502"
"calendar_dates.txt" 31 "service_id" "休日増便_250502"
"calendar_dates.txt" 32 "service_id" "休日増便_250502"
"calendar_dates.txt" 33 "service_id" "休日増便_250502"
"calendar_dates.txt" 34 "service_id" "休日増便_250502"
"calendar_dates.txt" 35 "service_id" "休日増便_250502"
"calendar_dates.txt" 36 "service_id" "休日_240411"
"calendar_dates.txt" 37 "service_id" "休日_240411"
"calendar_dates.txt" 38 "service_id" "休日_240411"
"calendar_dates.txt" 39 "service_id" "休日_240411"
"calendar_dates.txt" 40 "service_id" "休日_240411"
"calendar_dates.txt" 41 "service_id" "休日_240411"
"calendar_dates.txt" 42 "service_id" "休日_240411"
"calendar_dates.txt" 43 "service_id" "休日_240411"
"calendar_dates.txt" 44 "service_id" "休日_240411"
"calendar_dates.txt" 45 "service_id" "休日_240411"
"calendar_dates.txt" 46 "service_id" "休日_240411"
"calendar_dates.txt" 47 "service_id" "休日_240411"
"calendar_dates.txt" 48 "service_id" "休日_240411"
"calendar_dates.txt" 49 "service_id" "休日_240411"
"calendar_dates.txt" 50 "service_id" "休日_240411"
"calendar_dates.txt" 51 "service_id" "休日_240411"