GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T18:12:15Z,
for the dataset file:///shared/waketown-wakechoueibasu.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
和気町
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2025-03-11
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. routes.txt
  8. stop_times.txt
  9. stops.txt
  10. transfers.txt
  11. translations.txt
  12. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 13
  • Shapes: 0
  • Stops: 175
  • Trips: 93

Specification Compliance report

1966 notices reported (1 errors, 1963 warnings, 2 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.
"translations.txt" 375 378 "table_name,field_name,language,field_value" "stop_times,stop_headsign,en,佐伯庁舎"
expired_calendar WARNING 1

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"
feed_expiration_date7_days WARNING 1

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

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 "20260123" "20251231" "20260130"
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 1

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"
mixed_case_recommended_field WARNING 43

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" "わけまろ号 ①奥塩田・苦木線" 2
"routes.txt" "route_long_name" "わけまろ号 ⑩和気駅周辺まちなか線" 3
"routes.txt" "route_long_name" "わけまろ号 ⑪佐伯・熊山線" 4
"routes.txt" "route_long_name" "わけまろ号 ⑬吉永病院線" 5
"routes.txt" "route_long_name" "わけまろ号 ⑭佐伯・和気線" 6
"routes.txt" "route_long_name" "わけまろ号 ②田土線" 7
"routes.txt" "route_long_name" "わけまろ号 ③津瀬・小原線" 8
"routes.txt" "route_long_name" "わけまろ号 ④田賀・佐伯線" 9
"routes.txt" "route_long_name" "わけまろ号 ⑤小坂・加三方線" 10
"routes.txt" "route_long_name" "わけまろ号 ⑥日笠・和気線" 11
"routes.txt" "route_long_name" "わけまろ号 ⑦藤野線" 12
"routes.txt" "route_long_name" "わけまろ号 ⑧本荘線" 13
"routes.txt" "route_long_name" "わけまろ号 ⑨石生線" 14
"stops.txt" "stop_name" "(国道)苦木" 14
"stops.txt" "stop_name" "(国道)南山方口" 25
"stops.txt" "stop_name" "(国道)丸山" 26
"stops.txt" "stop_name" "(国道)中山" 30
"stops.txt" "stop_name" "(国道)原橋" 31
"stops.txt" "stop_name" "(国道)井ノ口" 34
"stops.txt" "stop_name" "(国道)矢田中" 45
"stops.txt" "stop_name" "(国道)矢田" 56
"stops.txt" "stop_name" "ゴダイ・百菜市場" 63
"stops.txt" "stop_name" "(国道)清水" 79
"stops.txt" "stop_name" "佐伯プラザ ・サエスタ" 87
"stops.txt" "stop_name" "(国道)竜ヶ鼻" 88
"stops.txt" "stop_name" "(国道)旧山田小学校前" 90
"stops.txt" "stop_name" "(国道)河本" 91
"stops.txt" "stop_name" "(国道)天瀬上" 92
"stops.txt" "stop_name" "(国道)天瀬" 93
"stops.txt" "stop_name" "(国道)天瀬下" 94
"stops.txt" "stop_name" "(国道)田原堰前" 95
"stops.txt" "stop_name" "(国道)益原" 96
"stops.txt" "stop_name" "矢田部上(六人衆前)" 137
"stops.txt" "stop_name" "(国道)塩田下" 155
"trips.txt" "trip_headsign" "佐伯プラザ ・サエスタ" 2
"trips.txt" "trip_headsign" "佐伯プラザ ・サエスタ" 3
"trips.txt" "trip_headsign" "佐伯プラザ ・サエスタ" 4
"trips.txt" "trip_headsign" "佐伯プラザ ・サエスタ" 9
"trips.txt" "trip_headsign" "佐伯プラザ ・サエスタ" 10
"trips.txt" "trip_headsign" "佐伯プラザ ・サエスタ" 11
"trips.txt" "trip_headsign" "(国道)丸山" 50
"trips.txt" "trip_headsign" "(国道)丸山" 51
"trips.txt" "trip_headsign" "(国道)丸山" 52
non_ascii_or_non_printable_char WARNING 1915

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 1915 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.txt" 2 "service_id" "平日"
"calendar_dates.txt" 2 "service_id" "平日"
"calendar_dates.txt" 3 "service_id" "平日"
"calendar_dates.txt" 4 "service_id" "平日"
"calendar_dates.txt" 5 "service_id" "平日"
"calendar_dates.txt" 6 "service_id" "平日"
"calendar_dates.txt" 7 "service_id" "平日"
"calendar_dates.txt" 8 "service_id" "平日"
"calendar_dates.txt" 9 "service_id" "平日"
"calendar_dates.txt" 10 "service_id" "平日"
"calendar_dates.txt" 11 "service_id" "平日"
"calendar_dates.txt" 12 "service_id" "平日"
"calendar_dates.txt" 13 "service_id" "平日"
"calendar_dates.txt" 14 "service_id" "平日"
"calendar_dates.txt" 15 "service_id" "平日"
"stop_times.txt" 2 "trip_id" "1平日_06時50分_系統141001"
"stop_times.txt" 3 "trip_id" "1平日_06時50分_系統141001"
"stop_times.txt" 4 "trip_id" "1平日_06時50分_系統141001"
"stop_times.txt" 5 "trip_id" "1平日_06時50分_系統141001"
"stop_times.txt" 6 "trip_id" "1平日_06時50分_系統141001"
"stop_times.txt" 7 "trip_id" "1平日_06時50分_系統141001"
"stop_times.txt" 8 "trip_id" "1平日_06時50分_系統141001"
"stop_times.txt" 9 "trip_id" "1平日_06時50分_系統141001"
"stop_times.txt" 10 "trip_id" "1平日_06時50分_系統141001"
"stop_times.txt" 11 "trip_id" "1平日_06時50分_系統141001"
"stop_times.txt" 12 "trip_id" "1平日_06時50分_系統141001"
"stop_times.txt" 13 "trip_id" "1平日_06時50分_系統141001"
"stop_times.txt" 14 "trip_id" "1平日_06時50分_系統141001"
"stop_times.txt" 15 "trip_id" "1平日_06時50分_系統141001"
"stop_times.txt" 16 "trip_id" "1平日_06時55分_系統111001"
"stop_times.txt" 17 "trip_id" "1平日_06時55分_系統111001"
"stop_times.txt" 18 "trip_id" "1平日_06時55分_系統111001"
"stop_times.txt" 19 "trip_id" "1平日_06時55分_系統111001"
"stop_times.txt" 20 "trip_id" "1平日_06時55分_系統111001"
"stop_times.txt" 21 "trip_id" "1平日_06時55分_系統111001"
"stop_times.txt" 22 "trip_id" "1平日_06時55分_系統111001"
"stop_times.txt" 23 "trip_id" "1平日_06時55分_系統111001"
"stop_times.txt" 24 "trip_id" "1平日_06時55分_系統111001"
"stop_times.txt" 25 "trip_id" "1平日_07時36分_系統112001"
"stop_times.txt" 26 "trip_id" "1平日_07時36分_系統112001"
"stop_times.txt" 27 "trip_id" "1平日_07時36分_系統112001"
"stop_times.txt" 28 "trip_id" "1平日_07時36分_系統112001"
"stop_times.txt" 29 "trip_id" "1平日_07時36分_系統112001"
"stop_times.txt" 30 "trip_id" "1平日_07時36分_系統112001"
"stop_times.txt" 31 "trip_id" "1平日_07時36分_系統112001"
"stop_times.txt" 32 "trip_id" "1平日_07時36分_系統112001"
"stop_times.txt" 33 "trip_id" "1平日_07時36分_系統112001"
"stop_times.txt" 34 "trip_id" "1平日_07時36分_系統112001"
"stop_times.txt" 35 "trip_id" "1平日_07時36分_系統112001"
"stop_times.txt" 36 "trip_id" "1平日_07時36分_系統112001"
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.
"20260123" "20250311" "20251226"
unknown_column INFO 2

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.
"trips.txt" "jp_trip_desc" 9
"trips.txt" "jp_pattern_id" 10