ugokotsu-data — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-09T13:19:40Z,
for the dataset file:///shared/ugokotsu-data_52fe008b.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included


  • 羽後交通角館営業所
  • 羽後交通田沢湖営業所
  • 羽後交通横手営業所
  • 羽後交通湯沢営業所
  • 羽後交通大曲営業所
  • 羽後交通境営業所
  • 羽後交通本荘営業所
  • 羽後交通興業観光事業部

Feed Info


Publisher Name:
国際教養大学アジア地域研究連携機構
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2024-04-01
Feed End Date:
2025-03-31

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. translations.txt
  11. trips.txt

Counts


  • Agencies: 8
  • Blocks: 0
  • Routes: 51
  • Shapes: 0
  • Stops: 1387
  • Trips: 543

Specification Compliance report

605136 notices reported (3 errors, 605124 warnings, 9 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"
duplicate_route_name WARNING 1

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
5 "一周線(左回り)" 6 "一周線(右回り)" "" "田沢湖一周線" 3 "田営"
expired_calendar WARNING 26

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 "無休"
3 "平土"
4 "平日"
5 "土日祝"
6 "土曜"
7 "日祝"
8 "一周線最終便運行日"
9 "駒運行日"
10 "駒9月まで"
11 "駒10月"
12 "玉川線運行日"
13 "玉川線最終便運行日"
14 "新玉川線運行日"
15 "新玉川線運行日(春)"
16 "朝倉小登校日"
17 "大仙市登校日"
18 "大仙市休校日"
20 "新山小登校日"
21 "象潟中登校日"
22 "青陵登校日"
23 "仁高登校日"
24 "県立大登校日"
25 "降雪期平日"
26 "早春平日"
27 "新山小冬季登校日"
28 "遊覧船運行日"
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 "20260509" "20250331" "20260516"
missing_bike_allowance WARNING 4

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.
541 "田沢湖遊覧船" "田沢湖遊覧船0900白浜発"
542 "田沢湖遊覧船" "田沢湖遊覧船1100白浜発"
543 "田沢湖遊覧船" "田沢湖遊覧船1300白浜発"
544 "田沢湖遊覧船" "田沢湖遊覧船1500白浜発"
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
mixed_case_recommended_field WARNING 51

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 51 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" "角館・大曲線" 2
"routes.txt" "route_desc" "角館~羽後長野駅前~大曲" 2
"routes.txt" "route_long_name" "角館・六郷線" 3
"routes.txt" "route_desc" "角館~横沢~千屋~六郷" 3
"routes.txt" "route_desc" "田沢湖駅前~田沢湖畔~高原温泉~アルパこまくさ~乳頭温泉" 4
"routes.txt" "route_desc" "田沢湖駅前~アルパこまくさ~駒ヶ岳八合目" 7
"routes.txt" "route_long_name" "朝日が丘線/上台線" 12
"routes.txt" "route_long_name" "横手・本荘線" 17
"routes.txt" "route_long_name" "横手・小安線" 18
"routes.txt" "route_long_name" "横手・湯沢線/岩井川線" 20
"routes.txt" "route_long_name" "横手・湯沢線" 21
"routes.txt" "route_long_name" "湯沢・小安線" 22
"routes.txt" "route_long_name" "雄湯郷ランド・シャトルバス" 27
"routes.txt" "route_long_name" "横手・大曲線" 28
"routes.txt" "route_long_name" "イオン・イーストモール線" 31
"routes.txt" "route_long_name" "角館・稲沢線" 38
"routes.txt" "route_desc" "境~協和小学校~上稲沢~花葉館前~角館" 38
"routes.txt" "route_long_name" "本荘・伏見線" 50
"stops.txt" "stop_name" "(福小屋)" 394
"stops.txt" "stop_name" "(映月荘)" 396
"stops.txt" "stop_name" "一本木(角間川線)" 401
"stops.txt" "stop_name" "追分(角間川線)" 419
"stops.txt" "stop_name" "上大町11番町" 433
"stops.txt" "stop_name" "三井寺前・九品寺前" 515
"stops.txt" "stop_name" "(川西学校前)" 810
"stops.txt" "stop_name" "(神成)" 812
"stops.txt" "stop_name" "(十日町)" 814
"stops.txt" "stop_name" "(下川原)" 828
"stops.txt" "stop_name" "(埋蔵文化センター前)" 831
"stops.txt" "stop_name" "(JA南外支店前)" 916
"stops.txt" "stop_name" "(南外中学校前)" 919
"stops.txt" "stop_name" "(落合橋)" 921
"stops.txt" "stop_name" "(平岡)" 1073
"stops.txt" "stop_name" "(牛寺)" 1078
"stops.txt" "stop_name" "(上田表)" 1080
"stops.txt" "stop_name" "(山崎)" 1082
"stops.txt" "stop_name" "文化会館、球場前" 1160
"trips.txt" "trip_headsign" "碇(朝倉小学校前)行き" 131
"trips.txt" "trip_headsign" "ふるさと・朝日→西口・平病" 133
"trips.txt" "trip_headsign" "ふるさと・朝日→西口・平病" 134
"trips.txt" "trip_headsign" "西口・平病→朝日・ふるさと" 135
"trips.txt" "trip_headsign" "西口・平病→朝日・ふるさと" 136
"trips.txt" "trip_headsign" "西口・平病→朝日・ふるさと" 137
"trips.txt" "trip_headsign" "振興局→イオン本荘→組合病院→本荘駅前→営業所" 533
"trips.txt" "trip_headsign" "振興局→イオン本荘→組合病院→本荘駅前→営業所" 534
"trips.txt" "trip_headsign" "振興局→イオン本荘→組合病院→本荘駅前→営業所" 535
"trips.txt" "trip_headsign" "振興局→イオン本荘→組合病院→本荘駅前→営業所" 536
"trips.txt" "trip_headsign" "組合病院→イオン本荘→振興局→本荘駅前→営業所" 537
"trips.txt" "trip_headsign" "組合病院→イオン本荘→振興局→本荘駅前→営業所" 538
"trips.txt" "trip_headsign" "組合病院→イオン本荘→振興局→本荘駅前→営業所" 539
non_ascii_or_non_printable_char WARNING 604911

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 604911 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.
"agency.txt" 2 "agency_id" "角営"
"agency.txt" 3 "agency_id" "田営"
"agency.txt" 4 "agency_id" "横営"
"agency.txt" 5 "agency_id" "湯営"
"agency.txt" 6 "agency_id" "大営"
"agency.txt" 7 "agency_id" "境営"
"agency.txt" 8 "agency_id" "本営"
"agency.txt" 9 "agency_id" "遊覧"
"calendar.txt" 2 "service_id" "無休"
"calendar.txt" 3 "service_id" "平土"
"calendar.txt" 4 "service_id" "平日"
"calendar.txt" 5 "service_id" "土日祝"
"calendar.txt" 6 "service_id" "土曜"
"calendar.txt" 7 "service_id" "日祝"
"calendar.txt" 8 "service_id" "一周線最終便運行日"
"calendar.txt" 9 "service_id" "駒運行日"
"calendar.txt" 10 "service_id" "駒9月まで"
"calendar.txt" 11 "service_id" "駒10月"
"calendar.txt" 12 "service_id" "玉川線運行日"
"calendar.txt" 13 "service_id" "玉川線最終便運行日"
"calendar.txt" 14 "service_id" "新玉川線運行日"
"calendar.txt" 15 "service_id" "新玉川線運行日(春)"
"calendar.txt" 16 "service_id" "朝倉小登校日"
"calendar.txt" 17 "service_id" "大仙市登校日"
"calendar.txt" 18 "service_id" "大仙市休校日"
"calendar.txt" 19 "service_id" "大仙市平日休校日"
"calendar.txt" 20 "service_id" "新山小登校日"
"calendar.txt" 21 "service_id" "象潟中登校日"
"calendar.txt" 22 "service_id" "青陵登校日"
"calendar.txt" 23 "service_id" "仁高登校日"
"calendar.txt" 24 "service_id" "県立大登校日"
"calendar.txt" 25 "service_id" "降雪期平日"
"calendar.txt" 26 "service_id" "早春平日"
"calendar.txt" 27 "service_id" "新山小冬季登校日"
"calendar.txt" 28 "service_id" "遊覧船運行日"
"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"
"calendar_dates.txt" 16 "service_id" "平日"