GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T18:25:20Z,
for the dataset file:///shared/gtfs08-kamenoibus.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:
2025-07-19
Feed End Date:
2026-12-12

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: 36
  • Shapes: 74
  • Stops: 536
  • Trips: 1219

Specification Compliance report

21861 notices reported (20461 errors, 1379 warnings, 21 infos)

Notice Code Severity Total
duplicate_key ERROR 20458

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

Only the first 50 of 20458 affected records are displayed below.

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.
"fare_rules.txt" 756 2669 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,9 2,10 2"
"fare_rules.txt" 757 2670 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,9 2,1014 2"
"fare_rules.txt" 758 2671 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,9 2,13 2"
"fare_rules.txt" 759 2672 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,9 2,12 2"
"fare_rules.txt" 760 2673 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,282 1,285 1"
"fare_rules.txt" 761 2674 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,282 1,286 1"
"fare_rules.txt" 762 2675 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,282 1,283 1"
"fare_rules.txt" 763 2676 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,282 1,284 1"
"fare_rules.txt" 764 2677 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,52 2,53 2"
"fare_rules.txt" 765 2678 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,52 2,23 2"
"fare_rules.txt" 766 2679 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,52 2,24 2"
"fare_rules.txt" 767 2680 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,272 2,273 2"
"fare_rules.txt" 768 2681 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,272 2,274 2"
"fare_rules.txt" 769 2682 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,21 2,20 2"
"fare_rules.txt" 770 2683 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,285 1,286 1"
"fare_rules.txt" 771 2684 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,285 1,288 1"
"fare_rules.txt" 772 2685 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,5 2,6 2"
"fare_rules.txt" 773 2686 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,53 2,23 2"
"fare_rules.txt" 774 2687 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,53 2,24 2"
"fare_rules.txt" 775 2688 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,300001 2,26 2"
"fare_rules.txt" 776 2689 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,300001 2,25 2"
"fare_rules.txt" 777 2690 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,300001 2,4 2"
"fare_rules.txt" 778 2691 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,50 2,52 2"
"fare_rules.txt" 779 2692 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,50 2,53 2"
"fare_rules.txt" 780 2693 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,50 2,51 2"
"fare_rules.txt" 781 2694 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,50 2,23 2"
"fare_rules.txt" 782 2695 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,50 2,24 2"
"fare_rules.txt" 783 2696 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,26 2,5 2"
"fare_rules.txt" 784 2697 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,26 2,6 2"
"fare_rules.txt" 785 2698 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,26 2,4 2"
"fare_rules.txt" 786 2699 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,10 2,50 2"
"fare_rules.txt" 787 2700 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,10 2,1014 2"
"fare_rules.txt" 788 2701 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,10 2,13 2"
"fare_rules.txt" 789 2702 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,10 2,49 2"
"fare_rules.txt" 790 2703 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,10 2,12 2"
"fare_rules.txt" 791 2704 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,269 2,270 2"
"fare_rules.txt" 792 2705 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,22 2,21 2"
"fare_rules.txt" 793 2706 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,22 2,20 2"
"fare_rules.txt" 794 2707 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,286 1,288 1"
"fare_rules.txt" 795 2708 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,273 2,275 2"
"fare_rules.txt" 796 2709 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,273 2,274 2"
"fare_rules.txt" 797 2710 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,276 1,277 1"
"fare_rules.txt" 798 2711 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,25 2,5 2"
"fare_rules.txt" 799 2712 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,25 2,26 2"
"fare_rules.txt" 800 2713 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,25 2,6 2"
"fare_rules.txt" 801 2714 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,25 2,4 2"
"fare_rules.txt" 802 2715 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,1014 2,52 2"
"fare_rules.txt" 803 2716 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,1014 2,53 2"
"fare_rules.txt" 804 2717 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,1014 2,50 2"
"fare_rules.txt" 805 2718 "fare_id,route_id,origin_id,destination_id" "101678-4320001006282_170_00,101678-432,1014 2,51 2"
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 6

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`.
2 "101678-432" 7 "101678-411" "41" "サファリ線" 3 "101678-4320001006282"
2 "101678-432" 26 "101678-1432" "41" "サファリ線" 3 "101678-4320001006282"
3 "101678-267" 27 "101678-266" "26aリ" "内廻り循環線" 3 "101678-4320001006282"
20 "101678-7361" 30 "101678-7362" "快速" "観光快速ゆふりん" 3 "101678-4320001006282"
17 "101678-51" 32 "101678-53" "5" "野口原経由ａｐｕ線" 3 "101678-4320001006282"
8 "101678-9162" 37 "101678-166" "16aリ" "外廻り循環線" 3 "101678-4320001006282"
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.
4 "101678-日曜・祝日"
mixed_case_recommended_field WARNING 38

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" "26aリ" 3
"routes.txt" "route_short_name" "16aリ" 8
"routes.txt" "route_long_name" "餅ヶ浜経由南立石２区線" 16
"routes.txt" "route_long_name" "竹の内経由鉄輪線（九大別府病院経由）" 23
"routes.txt" "route_short_name" "26aリ" 27
"routes.txt" "route_long_name" "竹の内経由鉄輪線（九大別府病院不寄り）" 29
"routes.txt" "route_short_name" "16aリ" 37
"stops.txt" "stop_name" "流川２丁目" 8
"stops.txt" "stop_name" "流川２丁目" 9
"stops.txt" "stop_name" "流川５丁目" 14
"stops.txt" "stop_name" "流川５丁目" 15
"stops.txt" "stop_name" "流川６丁目・不老泉" 19
"stops.txt" "stop_name" "流川６丁目・不老泉" 20
"stops.txt" "stop_name" "流川８丁目" 21
"stops.txt" "stop_name" "流川８丁目" 22
"stops.txt" "stop_name" "流川８丁目" 23
"stops.txt" "stop_name" "流川８丁目" 24
"stops.txt" "stop_name" "流川１２丁目" 25
"stops.txt" "stop_name" "流川１２丁目" 26
"stops.txt" "stop_name" "富士見３丁目" 89
"stops.txt" "stop_name" "富士見３丁目" 90
"stops.txt" "stop_name" "富士見４丁目" 91
"stops.txt" "stop_name" "富士見４丁目" 92
"stops.txt" "stop_name" "富士見６丁目" 93
"stops.txt" "stop_name" "富士見６丁目" 94
"stops.txt" "stop_name" "石垣８丁目" 113
"stops.txt" "stop_name" "石垣８丁目" 114
"stops.txt" "stop_name" "石垣８丁目" 115
"stops.txt" "stop_name" "石垣９丁目" 116
"stops.txt" "stop_name" "石垣９丁目" 117
"stops.txt" "stop_name" "石垣９丁目" 118
"stops.txt" "stop_name" "富士見９丁目" 281
"stops.txt" "stop_name" "富士見９丁目" 282
"stops.txt" "stop_name" "富士見９丁目" 283
"stops.txt" "stop_name" "永石６丁目" 309
"stops.txt" "stop_name" "地獄原・ひょうたん温泉" 487
"stops.txt" "stop_name" "大石・大分香りの博物館" 494
"stops.txt" "stop_name" "大石・大分香りの博物館" 495
non_ascii_or_non_printable_char WARNING 1333

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 1333 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" "101678-土曜"
"calendar.txt" 3 "service_id" "101678-平日（月～金）"
"calendar.txt" 4 "service_id" "101678-日曜・祝日"
"calendar_dates.txt" 2 "service_id" "101678-土曜"
"calendar_dates.txt" 3 "service_id" "101678-土曜"
"calendar_dates.txt" 4 "service_id" "101678-土曜"
"calendar_dates.txt" 5 "service_id" "101678-土曜"
"calendar_dates.txt" 6 "service_id" "101678-土曜"
"calendar_dates.txt" 7 "service_id" "101678-土曜"
"calendar_dates.txt" 8 "service_id" "101678-土曜"
"calendar_dates.txt" 9 "service_id" "101678-土曜"
"calendar_dates.txt" 10 "service_id" "101678-土曜"
"calendar_dates.txt" 11 "service_id" "101678-土曜"
"calendar_dates.txt" 12 "service_id" "101678-土曜"
"calendar_dates.txt" 13 "service_id" "101678-土曜"
"calendar_dates.txt" 14 "service_id" "101678-土曜"
"calendar_dates.txt" 15 "service_id" "101678-土曜"
"calendar_dates.txt" 16 "service_id" "101678-土曜"
"calendar_dates.txt" 17 "service_id" "101678-土曜"
"calendar_dates.txt" 18 "service_id" "101678-土曜"
"calendar_dates.txt" 19 "service_id" "101678-土曜"
"calendar_dates.txt" 20 "service_id" "101678-土曜"
"calendar_dates.txt" 21 "service_id" "101678-土曜"
"calendar_dates.txt" 22 "service_id" "101678-土曜"
"calendar_dates.txt" 23 "service_id" "101678-土曜"
"calendar_dates.txt" 24 "service_id" "101678-土曜"
"calendar_dates.txt" 25 "service_id" "101678-土曜"
"calendar_dates.txt" 26 "service_id" "101678-土曜"
"calendar_dates.txt" 27 "service_id" "101678-土曜"
"calendar_dates.txt" 28 "service_id" "101678-土曜"
"calendar_dates.txt" 29 "service_id" "101678-土曜"
"calendar_dates.txt" 30 "service_id" "101678-土曜"
"calendar_dates.txt" 31 "service_id" "101678-土曜"
"calendar_dates.txt" 32 "service_id" "101678-土曜"
"calendar_dates.txt" 33 "service_id" "101678-土曜"
"calendar_dates.txt" 34 "service_id" "101678-土曜"
"calendar_dates.txt" 35 "service_id" "101678-土曜"
"calendar_dates.txt" 36 "service_id" "101678-土曜"
"calendar_dates.txt" 37 "service_id" "101678-土曜"
"calendar_dates.txt" 38 "service_id" "101678-土曜"
"calendar_dates.txt" 39 "service_id" "101678-土曜"
"calendar_dates.txt" 40 "service_id" "101678-土曜"
"calendar_dates.txt" 41 "service_id" "101678-土曜"
"calendar_dates.txt" 42 "service_id" "101678-土曜"
"calendar_dates.txt" 43 "service_id" "101678-土曜"
"calendar_dates.txt" 44 "service_id" "101678-土曜"
"calendar_dates.txt" 45 "service_id" "101678-土曜"
"calendar_dates.txt" 46 "service_id" "101678-土曜"
"calendar_dates.txt" 47 "service_id" "101678-土曜"
"calendar_dates.txt" 48 "service_id" "101678-土曜"
stop_too_far_from_shape WARNING 1

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.
567 "101678-612" "101678-85cb5cf2-21ca-4fd2-8e62-91bc3bf083f2" 18215 "101678-9-0" "鶴見原" [33.292872,131.484901] 118.05075866971374
platform_without_parent_station INFO 19

platform_without_parent_station

A platform has no parent_station field set.

This is different from location_without_parent_station since it is less severe.

You can see more about this notice here.

csvRowNumber (?) Row number of the faulty record. stopId (?) The id of the faulty record. stopName (?) The stop name of the faulty record.
3 "101678-1-1" "別府駅西口"
4 "101678-1-3" "別府駅西口"
10 "101678-100001-3" "別府駅西口"
11 "101678-100001-4" "別府駅西口"
12 "101678-100099-1" "別府駅前"
13 "101678-100099-2" "別府駅前"
214 "101678-200001-1" "別府駅西口"
289 "101678-300001-2" "別府駅西口"
343 "101678-383-1" "別府北浜"
386 "101678-500097-3" "別府北浜"
473 "101678-73-1" "亀川駅"
474 "101678-73-2" "亀川駅"
516 "101678-91-1" "別府交通センター"
517 "101678-91-2" "別府交通センター"
529 "101678-97-1" "別府北浜"
530 "101678-97-2" "別府北浜"
535 "101678-99-0" "別府駅"
536 "101678-99-1" "別府駅"
537 "101678-99-2" "別府駅"
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.
"translations.txt" "trans_id" 1
"translations.txt" "lang" 2