GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-02-03T18:12:31Z,
for the dataset file:///shared/junkai_021b7145.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Email:
alex@busmaps.com
Feed Language:
Japanese
Feed Start Date:
2025-12-01
Feed End Date:
2026-03-31

Files included

  1. agency.txt
  2. calendar.txt
  3. fare_attributes.txt
  4. fare_rules.txt
  5. feed_info.txt
  6. routes.txt
  7. shapes.txt
  8. stop_times.txt
  9. stops.txt
  10. translations.txt
  11. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 10
  • Shapes: 66
  • Stops: 315
  • Trips: 86

Specification Compliance report

2705 notices reported (0 errors, 2705 warnings, 0 infos)

Notice Code Severity Total
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 97

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 97 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_short_name" "①市街地巡回ルート東回り" 2
"routes.txt" "route_short_name" "⑩西布施ルート" 3
"routes.txt" "route_short_name" "②市街地巡回ルート西回り" 4
"routes.txt" "route_short_name" "③上野方ルート" 5
"routes.txt" "route_short_name" "④経田－道下ルート" 6
"routes.txt" "route_short_name" "⑤天神ルート" 7
"routes.txt" "route_short_name" "⑥中島ルート" 8
"routes.txt" "route_short_name" "⑦松倉ルート" 9
"routes.txt" "route_short_name" "⑧坪野ルート" 10
"routes.txt" "route_short_name" "⑨片貝ルート" 11
"stops.txt" "stop_name" "東尾崎（関口英範宅前）" 11
"stops.txt" "stop_name" "東尾崎（関口英範宅前）" 12
"stops.txt" "stop_name" "東町（経田運輸前）" 16
"stops.txt" "stop_name" "東町（経田運輸前）" 17
"stops.txt" "stop_name" "仏田（颯創建前）" 22
"stops.txt" "stop_name" "仏田（颯創建前）" 23
"stops.txt" "stop_name" "平伝寺口（はなはな前）" 24
"stops.txt" "stop_name" "港町（経田魚商前）" 32
"stops.txt" "stop_name" "港町（経田魚商前）" 33
"stops.txt" "stop_name" "八幡橋北（大光寺町口）" 39
"stops.txt" "stop_name" "八幡橋北（大光寺町口）" 40
"stops.txt" "stop_name" "労災病院前（玄関口）" 52
"stops.txt" "stop_name" "下天神北（平田宅前）" 57
"stops.txt" "stop_name" "宮津（山本酒店前）" 63
"stops.txt" "stop_name" "宮津（山本酒店前）" 64
"stops.txt" "stop_name" "持光寺（大徳寺前）" 77
"stops.txt" "stop_name" "持光寺北（セブンイレブン持光寺店前）" 78
"stops.txt" "stop_name" "室田公民館口（富川務宅前）" 80
"stops.txt" "stop_name" "室田公民館口（富川務宅前）" 81
"stops.txt" "stop_name" "石垣交差点（セントラル自動車前）" 84
"stops.txt" "stop_name" "上町１区会館前" 96
"stops.txt" "stop_name" "上町１区会館前" 97
"stops.txt" "stop_name" "諏訪町・本町二丁目" 105
"stops.txt" "stop_name" "諏訪町・本町二丁目" 106
"stops.txt" "stop_name" "坪野（旧地鉄バス停前）" 116
"stops.txt" "stop_name" "稗畠（稗苗商店前）" 122
"stops.txt" "stop_name" "稗畠（稗苗商店前）" 123
"stops.txt" "stop_name" "稗畠口（稗苗勉宅前）" 124
"stops.txt" "stop_name" "稗畠口（稗苗勉宅前）" 125
"stops.txt" "stop_name" "本江新町（本江接骨院前）" 128
"stops.txt" "stop_name" "本江新町（本江接骨院前）" 129
"stops.txt" "stop_name" "友道（友道生産組合集会所前）" 131
"stops.txt" "stop_name" "友道（友道生産組合集会所前）" 132
"stops.txt" "stop_name" "泉町（魚津工業高校口）" 146
"stops.txt" "stop_name" "青島１区北（コーポラス前）" 157
"stops.txt" "stop_name" "印田口（サツキモータース前）" 180
"stops.txt" "stop_name" "印田口（サツキモータース前）" 181
"stops.txt" "stop_name" "青島１区南（新栄組前）" 204
"stops.txt" "stop_name" "青島１区南（新栄組前）" 205
"stops.txt" "stop_name" "魚津消防署前（三田口）" 210
non_ascii_or_non_printable_char WARNING 2604

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 2604 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" "101427-平日、土曜日"
"calendar.txt" 3 "service_id" "101427-毎日"
"stop_times.txt" 2 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 3 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 4 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 5 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 6 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 7 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 8 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 9 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 10 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 11 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 12 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 13 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 14 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 15 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 16 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 17 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 18 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 19 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 20 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 21 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 22 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 23 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 24 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 25 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 26 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 27 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 28 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 29 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 30 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 31 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 32 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 33 "trip_id" "101427-1毎日_08時50分_系統101001"
"stop_times.txt" 34 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 35 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 36 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 37 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 38 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 39 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 40 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 41 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 42 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 43 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 44 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 45 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 46 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 47 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 48 "trip_id" "101427-1毎日_09時50分_系統101001"
"stop_times.txt" 49 "trip_id" "101427-1毎日_09時50分_系統101001"
stop_too_far_from_shape WARNING 2

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
23 "101427-306" "101427-2平日、土曜日_18時00分_系統301006" 594 "101427-44_01" "大杉台掲示板前" [36.806888,137.428139] 352.01927211591646
39 "101427-50702" "101427-4天神（4月～10月）_13時30分_系統501005" 1054 "101427-39_01" "魚津歴史民俗博物館口（11～3月運休）" [36.828764,137.446593] 419.59202065565944
stops_match_shape_out_of_order WARNING 1

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
52 "101427-603" "101427-2平日、土曜日_16時35分_系統601004" 1432 "101427-100_02" "新川高校前" [36.82326094435291,137.42360371611878] 1431 "101427-131_01" "労災病院前（玄関口）" [36.821396,137.4252]