GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-02-03T22:45:43Z,
for the dataset file:///shared/bizen-city_d786558b.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:
2025-10-03
Feed End Date:
2026-07-08

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. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. translations.txt
  12. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 10
  • Shapes: 63
  • Stops: 306
  • Trips: 324

Specification Compliance report

24 notices reported (0 errors, 24 warnings, 0 infos)

Notice Code Severity Total
missing_recommended_field WARNING 10

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"
"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"
mixed_case_recommended_field WARNING 1

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_short_name" "南北・閑谷学校のぞみ線" 9
stop_too_far_from_shape WARNING 10

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.
184 "105881-1_5041_1" "105881-1_46_5041_1_10022266_20251003" 5924 "105881-215_1" "伊里中公民館" [34.759746419472066,134.22133656805235] 129.99902914270683
186 "105881-1_5072_2" "105881-1_46_5072_2_10022134_20251003" 5963 "105881-215_1" "伊里中公民館" [34.759746419472066,134.22133656805235] 129.99902914270683
186 "105881-1_5072_2" "105881-1_46_5072_2_10022134_20251003" 5964 "105881-1_2" "木谷" [34.76324536986439,134.22270822006448] 246.15530973529698
62 "105881-1_2011_1" "105881-1_46_2011_1_2011101_20251003" 2594 "105881-41_1" "佐那高下" [34.75543100000001,134.258856] 482.8392995954742
258 "105881-1_8062_2" "105881-1_46_8062_2_10022155_20251003" 7980 "105881-1_2" "木谷" [34.76324484402709,134.222751769077] 242.82755286859486
256 "105881-1_8052_2" "105881-1_46_8052_2_10022154_20251003" 7944 "105881-1_2" "木谷" [34.76324491105081,134.22275571186398] 242.52035098519335
262 "105881-1_8052_2" "105881-1_46_8072_2_10022316_20251003" 8049 "105881-147_1" "マルナカ" [34.741472,134.224161] 1742.5610883828592
262 "105881-1_8052_2" "105881-1_46_8072_2_10022316_20251003" 8050 "105881-112_2" "井田村" [34.741472,134.224161] 1274.996909492054
262 "105881-1_8052_2" "105881-1_46_8072_2_10022316_20251003" 8051 "105881-108_1" "穂浪橋東" [34.741472,134.224161] 1081.923531109943
64 "105881-1_2012_2" "105881-1_46_2012_2_10022199_20251003" 2667 "105881-41_1" "佐那高下" [34.755433,134.258856] 482.93736199351395
stops_match_shape_out_of_order WARNING 3

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.
56 "105881-1_1071_1" "105881-1_46_1071_1_10022235_20251003" 2319 "105881-144_1" "日生幼稚園前" [34.74058148935296,134.29418977399715] 2318 "105881-127_1" "スワ住宅前" [34.739112698834695,134.29585275566097]
50 "105881-1_1061_1" "105881-1_46_1061_1_10022234_20251003" 2067 "105881-144_1" "日生幼稚園前" [34.74058127783648,134.29419818564082] 2066 "105881-127_1" "スワ住宅前" [34.739110388027036,134.2958525303649]
174 "105881-1_5031_1" "105881-1_46_5031_1_10022265_20251003" 5695 "105881-12_1" "西河原" [34.81359912949415,134.19936144595482] 5694 "105881-9_1" "吉田橋" [34.81194404099099,134.19905777862957]