okinawa-monorail — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-07-17T13:19:22Z,
for the dataset file:///shared/okinawa-monorail_0703b3bc.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:
2026-07-16
Feed End Date:
2026-07-31

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: 4552

Specification Compliance report

5064 notices reported (1 errors, 5041 warnings, 22 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.
"calendar_dates.txt" 91 108 "service_id,date" "休日_240411,20260720"
expired_calendar WARNING 14

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"
3 "休日_240411"
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"
8 "平日_250115"
9 "平日(金曜深夜臨時有)_250115"
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"
15 "エアフェスタ(R7臨時列車有)_240506"
16 "休日増便ダイヤ(深夜臨時有)_250502"
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 "20260717" "20260731" "20260816"
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線(上り:那覇空港方面)" 3
non_ascii_or_non_printable_char WARNING 4681

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 4681 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" "休日増便_250502"
"calendar_dates.txt" 26 "service_id" "休日増便_250502"
"calendar_dates.txt" 27 "service_id" "休日増便_250502"
"calendar_dates.txt" 28 "service_id" "休日増便_250502"
"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" "休日増便_250502"
"calendar_dates.txt" 37 "service_id" "休日増便_250502"
"calendar_dates.txt" 38 "service_id" "休日増便_250502"
"calendar_dates.txt" 39 "service_id" "休日増便_250502"
"calendar_dates.txt" 40 "service_id" "平日_250115"
"calendar_dates.txt" 41 "service_id" "平日_250115"
"calendar_dates.txt" 42 "service_id" "平日_250115"
"calendar_dates.txt" 43 "service_id" "平日_250115"
"calendar_dates.txt" 44 "service_id" "平日_250115"
"calendar_dates.txt" 45 "service_id" "平日_250115"
"calendar_dates.txt" 46 "service_id" "平日_250115"
"calendar_dates.txt" 47 "service_id" "平日_250115"
"calendar_dates.txt" 48 "service_id" "平日_250115"
"calendar_dates.txt" 49 "service_id" "平日_250115"
"calendar_dates.txt" 50 "service_id" "平日_250115"
"calendar_dates.txt" 51 "service_id" "平日_250115"
big_gap_in_service INFO 4

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"休日_240411" "2025-10-05" "2025-11-03" 28
"休日_240411" "2025-11-30" "2025-12-21" 20
"毎週金_240114" "2025-02-14" "2025-03-07" 20
"毎週金_240114" "2025-03-14" "2025-04-04" 20
service_window_outside_feed_period INFO 18

service_window_outside_feed_period

A service window is not covered by the feed's validity period.

You can see more about this notice here.

serviceId (?) The service_id whose active window extends outside the feed validity period. serviceWindowStartDate (?) The first active date of the service window. serviceWindowEndDate (?) The last active date of the service window. daysBeforeFeedStart (?) Number of days the service window extends before feed_start_date (0 if none). daysAfterFeedEnd (?) Number of days the service window extends after feed_end_date (0 if none).
"休日増便_250502" "2025-09-06" "2026-07-25" 313 0
"平日_240114" "2025-02-03" "2025-04-04" 528 0
"臨時平日_250115(浦西折り返し)" "2026-07-13" "2026-07-30" 3 0
"臨時ダイヤ標準時刻表_20250503-0506" "2025-10-19" "2025-10-19" 270 0
"那覇大綱挽まつり_230502" "2025-10-12" "2025-10-12" 277 0
"臨時平日(金曜深夜臨時有)_250115(浦西折り返し)" "2026-07-10" "2026-07-31" 6 0
"臨時休日(牧志折り返し有、首里折り返し無)" "2026-07-12" "2026-07-26" 4 0
"平日_250115" "2025-09-01" "2026-07-07" 318 0
"夏季平日臨時ダイヤ_240507" "2025-03-28" "2025-08-28" 475 0
"休日_240411" "2025-02-02" "2026-07-05" 529 0
"休日増便ダイヤ(深夜臨時有)_250502" "2026-03-20" "2026-03-20" 118 0
"休日増便臨時ダイヤ_250501" "2025-04-05" "2025-08-30" 467 0
"産業まつり _250503" "2025-12-06" "2025-12-06" 222 0
"毎週金_240114" "2025-02-07" "2025-08-29" 524 0
"平日(金曜深夜臨時有)_250115" "2025-09-05" "2026-07-03" 314 0
"那覇大綱挽まつり_240502" "2025-10-11" "2025-10-13" 278 0
"NAHAマラソン_250504" "2025-12-07" "2025-12-07" 221 0
"エアフェスタ(R7臨時列車有)_240506" "2025-12-14" "2025-12-14" 214 0