GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T18:36:30Z,
for the dataset file:///shared/koka.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
甲賀市建設部公共交通推進課
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2020-04-01
Feed End Date:
2021-03-31

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. office_jp.txt
  9. routes.txt
  10. routes_jp.txt
  11. stop_times.txt
  12. stops.txt
  13. transfers.txt
  14. translations.txt
  15. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 26
  • Shapes: 0
  • Stops: 962
  • Trips: 452

Specification Compliance report

14914 notices reported (3 errors, 14904 warnings, 7 infos)

Notice Code Severity Total
missing_required_column ERROR 3

missing_required_column

A required column is missing in the input file.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the missing column.
"translations.txt" "field_name"
"translations.txt" "language"
"translations.txt" "table_name"
expired_calendar WARNING 12

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 "毎日"
3 "休土日祝"
4 "土日祝"
5 "休学休日"
6 "学休日以外"
7 "山内巡回１"
8 "山内巡回２"
9 "山内巡回３"
10 "ミホ開館"
11 "ミホ休館1"
12 "ミホ休館2"
13 "ミホ休館3"
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 "20251212" "20210331" "20251219"
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 6

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"
"fare_attributes.txt" 6 "agency_id"
mixed_case_recommended_field WARNING 70

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.

Only the first 50 of 70 affected records are displayed below.

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" "田代・畑・陶芸の森巡回線" 4
"routes.txt" "route_long_name" "三雲駅・市役所線" 7
"routes.txt" "route_long_name" "和野・中畑線" 8
"routes.txt" "route_long_name" "貴生川・甲賀病院線" 9
"routes.txt" "route_long_name" "甲賀駅・甲賀病院直通便" 15
"routes.txt" "route_long_name" "希望ケ丘・水口線" 17
"routes.txt" "route_long_name" "寺庄・甲南・甲賀病院線" 18
"routes.txt" "route_long_name" "末田・大野小学校線" 23
"routes.txt" "route_long_name" "大澤・土山北巡回線" 24
"stops.txt" "stop_name" "水口駅（バス）" 33
"stops.txt" "stop_name" "水口駅（バス）" 34
"stops.txt" "stop_name" "貴生川２丁目" 55
"stops.txt" "stop_name" "貴生川２丁目" 56
"stops.txt" "stop_name" "貴生川駅（バス）" 59
"stops.txt" "stop_name" "ドン・キホーテ前" 121
"stops.txt" "stop_name" "ドン・キホーテ前" 122
"stops.txt" "stop_name" "三雲駅（バス）" 156
"stops.txt" "stop_name" "甲賀駅北口（バス）" 200
"stops.txt" "stop_name" "油日駅（バス）" 264
"stops.txt" "stop_name" "甲賀駅南口（バス）" 271
"stops.txt" "stop_name" "寺庄駅（バス）" 275
"stops.txt" "stop_name" "甲南駅（バス）" 304
"stops.txt" "stop_name" "図書館前（甲南）" 305
"stops.txt" "stop_name" "信楽駅（バス）" 348
"stops.txt" "stop_name" "日吉神社（信楽）" 354
"stops.txt" "stop_name" "新田（信楽）" 401
"stops.txt" "stop_name" "図書館前（信楽）" 419
"stops.txt" "stop_name" "南草津駅西口（バス）" 509
"stops.txt" "stop_name" "南草津駅西口（バス）" 510
"stops.txt" "stop_name" "寺庄駅北口（バス）" 511
"stops.txt" "stop_name" "水口駅（バス）" 565
"stops.txt" "stop_name" "貴生川２丁目" 579
"stops.txt" "stop_name" "貴生川駅（バス）" 581
"stops.txt" "stop_name" "ドン・キホーテ前" 623
"stops.txt" "stop_name" "三雲駅（バス）" 643
"stops.txt" "stop_name" "甲賀駅北口（バス）" 668
"stops.txt" "stop_name" "油日駅（バス）" 732
"stops.txt" "stop_name" "甲賀駅南口（バス）" 739
"stops.txt" "stop_name" "寺庄駅（バス）" 741
"stops.txt" "stop_name" "甲南駅（バス）" 766
"stops.txt" "stop_name" "図書館前（甲南）" 767
"stops.txt" "stop_name" "信楽駅（バス）" 807
"stops.txt" "stop_name" "日吉神社（信楽）" 813
"stops.txt" "stop_name" "新田（信楽）" 859
"stops.txt" "stop_name" "図書館前（信楽）" 877
"stops.txt" "stop_name" "南草津駅西口（バス）" 934
"stops.txt" "stop_name" "寺庄駅北口（バス）" 935
"trips.txt" "trip_headsign" "近江土山（山女原経由）" 104
"trips.txt" "trip_headsign" "近江土山（黒滝経由）" 106
"trips.txt" "trip_headsign" "近江土山（黒滝経由）" 108
non_ascii_or_non_printable_char WARNING 14813

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 14813 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" "毎日"
"calendar.txt" 3 "service_id" "休土日祝"
"calendar.txt" 4 "service_id" "土日祝"
"calendar.txt" 5 "service_id" "休学休日"
"calendar.txt" 6 "service_id" "学休日以外"
"calendar.txt" 7 "service_id" "山内巡回１"
"calendar.txt" 8 "service_id" "山内巡回２"
"calendar.txt" 9 "service_id" "山内巡回３"
"calendar.txt" 10 "service_id" "ミホ開館"
"calendar.txt" 11 "service_id" "ミホ休館1"
"calendar.txt" 12 "service_id" "ミホ休館2"
"calendar.txt" 13 "service_id" "ミホ休館3"
"calendar_dates.txt" 2 "service_id" "毎日"
"calendar_dates.txt" 3 "service_id" "毎日"
"calendar_dates.txt" 4 "service_id" "毎日"
"calendar_dates.txt" 5 "service_id" "毎日"
"calendar_dates.txt" 6 "service_id" "毎日"
"calendar_dates.txt" 7 "service_id" "毎日"
"calendar_dates.txt" 8 "service_id" "毎日"
"calendar_dates.txt" 9 "service_id" "毎日"
"calendar_dates.txt" 10 "service_id" "毎日"
"calendar_dates.txt" 11 "service_id" "毎日"
"calendar_dates.txt" 12 "service_id" "毎日"
"calendar_dates.txt" 13 "service_id" "毎日"
"calendar_dates.txt" 14 "service_id" "毎日"
"calendar_dates.txt" 15 "service_id" "毎日"
"calendar_dates.txt" 16 "service_id" "毎日"
"calendar_dates.txt" 17 "service_id" "毎日"
"calendar_dates.txt" 18 "service_id" "毎日"
"calendar_dates.txt" 19 "service_id" "毎日"
"calendar_dates.txt" 20 "service_id" "毎日"
"calendar_dates.txt" 21 "service_id" "毎日"
"calendar_dates.txt" 22 "service_id" "毎日"
"calendar_dates.txt" 23 "service_id" "毎日"
"calendar_dates.txt" 24 "service_id" "毎日"
"calendar_dates.txt" 25 "service_id" "毎日"
"calendar_dates.txt" 26 "service_id" "毎日"
"calendar_dates.txt" 27 "service_id" "毎日"
"calendar_dates.txt" 28 "service_id" "毎日"
"calendar_dates.txt" 29 "service_id" "毎日"
"calendar_dates.txt" 30 "service_id" "毎日"
"calendar_dates.txt" 31 "service_id" "毎日"
"calendar_dates.txt" 32 "service_id" "毎日"
"calendar_dates.txt" 33 "service_id" "毎日"
"calendar_dates.txt" 34 "service_id" "毎日"
"calendar_dates.txt" 35 "service_id" "毎日"
"calendar_dates.txt" 36 "service_id" "毎日"
"calendar_dates.txt" 37 "service_id" "毎日"
"calendar_dates.txt" 38 "service_id" "毎日"
"calendar_dates.txt" 39 "service_id" "毎日"
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.
"20251212" "20200401" "20210331"
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" 6
"translations.txt" "trans_id" 1
"translations.txt" "lang" 2
"trips.txt" "jp_trip_desc" 7
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"
"office_jp.txt"
"routes_jp.txt"