ajt-mobusta-gtfs-mcapps-jp-1 — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-24T06:18:53Z,
for the dataset file:///shared/ajt-mobusta-gtfs-mcapps-jp-1_e929c580.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
備北交通
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-04-12
Feed End Date:
2026-10-12

Files included


  1. agency.txt
  2. agency_jp.txt
  3. agency_mobustation.txt
  4. calendar.txt
  5. calendar_dates.txt
  6. calendar_mobustation.txt
  7. fare_attributes.txt
  8. fare_rules.txt
  9. feed_info.txt
  10. routes.txt
  11. routes_jp.txt
  12. routes_mobustation.txt
  13. shapes.txt
  14. stop_times.txt
  15. stop_times_mobustation.txt
  16. stops.txt
  17. stops_direction.txt
  18. stops_mobustation.txt
  19. translations.txt
  20. translations_mobustation.txt
  21. trips.txt
  22. trips_jp.txt
  23. trips_mobustation.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 37
  • Shapes: 127
  • Stops: 1141
  • Trips: 668

Specification Compliance report

22197 notices reported (3 errors, 22173 warnings, 21 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"
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_timepoint_value WARNING 21451

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 21451 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "79023383-f7c9-4a06-813b-001d0db1de6a" 1
3 "79023383-f7c9-4a06-813b-001d0db1de6a" 2
4 "79023383-f7c9-4a06-813b-001d0db1de6a" 3
5 "79023383-f7c9-4a06-813b-001d0db1de6a" 4
6 "79023383-f7c9-4a06-813b-001d0db1de6a" 5
7 "79023383-f7c9-4a06-813b-001d0db1de6a" 6
8 "79023383-f7c9-4a06-813b-001d0db1de6a" 7
9 "79023383-f7c9-4a06-813b-001d0db1de6a" 8
10 "79023383-f7c9-4a06-813b-001d0db1de6a" 9
11 "79023383-f7c9-4a06-813b-001d0db1de6a" 10
12 "79023383-f7c9-4a06-813b-001d0db1de6a" 11
13 "79023383-f7c9-4a06-813b-001d0db1de6a" 12
14 "79023383-f7c9-4a06-813b-001d0db1de6a" 13
15 "79023383-f7c9-4a06-813b-001d0db1de6a" 14
16 "79023383-f7c9-4a06-813b-001d0db1de6a" 15
17 "79023383-f7c9-4a06-813b-001d0db1de6a" 16
18 "79023383-f7c9-4a06-813b-001d0db1de6a" 17
19 "79023383-f7c9-4a06-813b-001d0db1de6a" 18
20 "79023383-f7c9-4a06-813b-001d0db1de6a" 19
21 "79023383-f7c9-4a06-813b-001d0db1de6a" 20
22 "79023383-f7c9-4a06-813b-001d0db1de6a" 21
23 "79023383-f7c9-4a06-813b-001d0db1de6a" 22
24 "79023383-f7c9-4a06-813b-001d0db1de6a" 23
25 "79023383-f7c9-4a06-813b-001d0db1de6a" 24
26 "79023383-f7c9-4a06-813b-001d0db1de6a" 25
27 "79023383-f7c9-4a06-813b-001d0db1de6a" 26
28 "79023383-f7c9-4a06-813b-001d0db1de6a" 27
29 "79023383-f7c9-4a06-813b-001d0db1de6a" 28
30 "79023383-f7c9-4a06-813b-001d0db1de6a" 29
31 "79023383-f7c9-4a06-813b-001d0db1de6a" 30
32 "79023383-f7c9-4a06-813b-001d0db1de6a" 31
33 "79023383-f7c9-4a06-813b-001d0db1de6a" 32
34 "79023383-f7c9-4a06-813b-001d0db1de6a" 33
35 "79023383-f7c9-4a06-813b-001d0db1de6a" 34
36 "79023383-f7c9-4a06-813b-001d0db1de6a" 35
37 "79023383-f7c9-4a06-813b-001d0db1de6a" 36
38 "79023383-f7c9-4a06-813b-001d0db1de6a" 37
39 "79023383-f7c9-4a06-813b-001d0db1de6a" 38
40 "79023383-f7c9-4a06-813b-001d0db1de6a" 39
41 "79023383-f7c9-4a06-813b-001d0db1de6a" 40
42 "79023383-f7c9-4a06-813b-001d0db1de6a" 41
43 "79023383-f7c9-4a06-813b-001d0db1de6a" 42
44 "79023383-f7c9-4a06-813b-001d0db1de6a" 43
45 "2a3820c9-4d84-4fcf-b3c0-0070fadcecef" 1
46 "2a3820c9-4d84-4fcf-b3c0-0070fadcecef" 2
47 "2a3820c9-4d84-4fcf-b3c0-0070fadcecef" 3
48 "2a3820c9-4d84-4fcf-b3c0-0070fadcecef" 4
49 "2a3820c9-4d84-4fcf-b3c0-0070fadcecef" 5
50 "2a3820c9-4d84-4fcf-b3c0-0070fadcecef" 6
51 "2a3820c9-4d84-4fcf-b3c0-0070fadcecef" 7
mixed_case_recommended_field WARNING 54

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 54 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" "高速:三次~広島線" 2
"routes.txt" "route_long_name" "高速:庄原~広島線" 3
"routes.txt" "route_long_name" "敷名廻神線/上田小線" 5
"routes.txt" "route_long_name" "高速:東城~庄原線" 8
"routes.txt" "route_long_name" "小奴可線(粟田)" 15
"routes.txt" "route_long_name" "赤名→ゆめランド布野" 18
"routes.txt" "route_long_name" "三城線(西城~庄原)" 22
"routes.txt" "route_long_name" "新幹線→ノン・五日市→帝釈" 23
"routes.txt" "route_long_name" "比和バイパス→庄原駅" 24
"routes.txt" "route_long_name" "桜花→塚急・五日市→新幹線" 25
"routes.txt" "route_long_name" "東城→ノン・五日市→新幹線" 27
"routes.txt" "route_long_name" "ゆめランド布野→赤名" 30
"routes.txt" "route_long_name" "庄原駅→三次駅前" 31
"routes.txt" "route_long_name" "新幹線→ノン・五日市→東城" 32
"routes.txt" "route_long_name" "小奴可線(日野原)" 33
"routes.txt" "route_long_name" "帝釈→ノン・五日市→新幹線" 34
"routes.txt" "route_long_name" "庄原駅→比和(バイパス)" 36
"routes.txt" "route_long_name" "新幹線→塚急・五日市→桜花" 37
"stops.txt" "stop_name" "吉田2丁目" 97
"stops.txt" "stop_name" "吉田2丁目" 98
"trips.txt" "trip_headsign" "和知~美土里通過" 9
"trips.txt" "trip_headsign" "和知~美土里通過" 10
"trips.txt" "trip_headsign" "和知~美土里通過" 11
"trips.txt" "trip_headsign" "庄原格致高校・根木田経由" 43
"trips.txt" "trip_headsign" "吉田~向原" 105
"trips.txt" "trip_headsign" "根木田・庄原格致高校経由" 290
"trips.txt" "trip_headsign" "根木田・庄原格致高校経由" 291
"trips.txt" "trip_headsign" "根木田・庄原格致高校経由" 292
"trips.txt" "trip_headsign" "根木田・庄原格致高校経由" 293
"trips.txt" "trip_headsign" "根木田・庄原格致高校経由" 294
"trips.txt" "trip_headsign" "吉田~北部医療センタ" 296
"trips.txt" "trip_headsign" "吉田~北部医療センタ" 297
"trips.txt" "trip_headsign" "吉田~北部医療センタ" 298
"trips.txt" "trip_headsign" "吉田~北部医療センタ" 299
"trips.txt" "trip_headsign" "吉田~北部医療センタ" 300
"trips.txt" "trip_headsign" "吉田~北部医療センタ" 301
"trips.txt" "trip_headsign" "吉田~北部医療センタ" 302
"trips.txt" "trip_headsign" "吉田~北部医療センタ" 303
"trips.txt" "trip_headsign" "吉田~北部医療センタ" 304
"trips.txt" "trip_headsign" "吉田~志屋" 396
"trips.txt" "trip_headsign" "吉田~志屋" 397
"trips.txt" "trip_headsign" "吉田~志屋" 442
"trips.txt" "trip_headsign" "吉田~志屋" 443
"trips.txt" "trip_headsign" "向原~下長田" 543
"trips.txt" "trip_headsign" "北部医療~向原" 638
"trips.txt" "trip_headsign" "吉田~北部医療センタ" 647
"trips.txt" "trip_headsign" "吉田~北部医療センタ" 648
"trips.txt" "trip_headsign" "吉田~北部医療センタ" 649
"trips.txt" "trip_headsign" "吉田~北部医療センタ" 650
"trips.txt" "trip_headsign" "吉田~北部医療センタ" 651
non_ascii_or_non_printable_char WARNING 650

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 650 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" "1_平日(共通)"
"calendar.txt" 3 "service_id" "1_土曜(共通)"
"calendar.txt" 4 "service_id" "1_日祝(共通)"
"calendar.txt" 5 "service_id" "5_平日(共通)"
"calendar.txt" 6 "service_id" "5_土曜(共通)"
"calendar.txt" 7 "service_id" "5_日祝(共通)"
"calendar.txt" 8 "service_id" "85_平日(共通)"
"calendar.txt" 9 "service_id" "85_土曜(共通)"
"calendar.txt" 10 "service_id" "85_日祝(共通)"
"calendar_dates.txt" 509 "service_id" "5_平日(共通)"
"calendar_dates.txt" 510 "service_id" "5_日祝(共通)"
"calendar_dates.txt" 511 "service_id" "1_平日(共通)"
"calendar_dates.txt" 512 "service_id" "1_日祝(共通)"
"calendar_dates.txt" 513 "service_id" "85_平日(共通)"
"calendar_dates.txt" 514 "service_id" "85_日祝(共通)"
"calendar_dates.txt" 579 "service_id" "5_平日(共通)"
"calendar_dates.txt" 580 "service_id" "5_日祝(共通)"
"calendar_dates.txt" 581 "service_id" "1_平日(共通)"
"calendar_dates.txt" 582 "service_id" "1_日祝(共通)"
"calendar_dates.txt" 583 "service_id" "85_平日(共通)"
"calendar_dates.txt" 584 "service_id" "85_日祝(共通)"
"calendar_dates.txt" 585 "service_id" "5_平日(共通)"
"calendar_dates.txt" 586 "service_id" "5_日祝(共通)"
"calendar_dates.txt" 587 "service_id" "1_平日(共通)"
"calendar_dates.txt" 588 "service_id" "1_日祝(共通)"
"calendar_dates.txt" 589 "service_id" "85_平日(共通)"
"calendar_dates.txt" 590 "service_id" "85_日祝(共通)"
"calendar_dates.txt" 591 "service_id" "5_平日(共通)"
"calendar_dates.txt" 592 "service_id" "5_日祝(共通)"
"calendar_dates.txt" 593 "service_id" "1_平日(共通)"
"calendar_dates.txt" 594 "service_id" "1_日祝(共通)"
"calendar_dates.txt" 595 "service_id" "85_平日(共通)"
"calendar_dates.txt" 596 "service_id" "85_日祝(共通)"
"calendar_dates.txt" 2221 "service_id" "5_平日(共通)"
"calendar_dates.txt" 2222 "service_id" "5_日祝(共通)"
"calendar_dates.txt" 2223 "service_id" "1_平日(共通)"
"calendar_dates.txt" 2224 "service_id" "1_日祝(共通)"
"calendar_dates.txt" 2225 "service_id" "85_平日(共通)"
"calendar_dates.txt" 2226 "service_id" "85_日祝(共通)"
"calendar_dates.txt" 2695 "service_id" "5_平日(共通)"
"calendar_dates.txt" 2696 "service_id" "5_日祝(共通)"
"calendar_dates.txt" 2697 "service_id" "1_平日(共通)"
"calendar_dates.txt" 2698 "service_id" "1_日祝(共通)"
"calendar_dates.txt" 2699 "service_id" "85_平日(共通)"
"calendar_dates.txt" 2700 "service_id" "85_日祝(共通)"
"calendar_dates.txt" 3576 "service_id" "5_平日(共通)"
"calendar_dates.txt" 3577 "service_id" "5_日祝(共通)"
"calendar_dates.txt" 3578 "service_id" "1_平日(共通)"
"calendar_dates.txt" 3579 "service_id" "1_日祝(共通)"
"calendar_dates.txt" 3580 "service_id" "85_平日(共通)"
stop_too_far_from_shape WARNING 6

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.
248 "34225009" "85b0112c-a390-4d20-ade8-50f01388927c" 7352 "37846 2" "第5駐車場北入口" [34.845098160680024,133.00904003105597] 429.650900327684
248 "34225009" "85b0112c-a390-4d20-ade8-50f01388927c" 7353 "37847 2" "第6駐車場前" [34.84330668999597,133.00628288063734] 640.7551652202753
248 "34225009" "85b0112c-a390-4d20-ade8-50f01388927c" 7354 "37848 2" "第2駐車場前" [34.84138261718117,133.000273949633] 156.1765593813392
248 "34225009" "85b0112c-a390-4d20-ade8-50f01388927c" 7355 "37843 2" "大芝生広場前" [34.8413550276765,133.00065478261973] 411.843312503279
248 "34225009" "85b0112c-a390-4d20-ade8-50f01388927c" 7356 "37844 2" "第3駐車場前" [34.84201518737113,133.00427413293968] 349.88527169750387
248 "34225009" "85b0112c-a390-4d20-ade8-50f01388927c" 7357 "37845 2" "第4駐車場前" [34.845219630066296,133.0092829610127] 217.5968461188765
stop_without_stop_time WARNING 3

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
392 "36237 0" "永原"
1107 "37811 1" "帝釈"
1108 "37811 2" "帝釈"
unused_shape WARNING 8

unused_shape

Shape is not used in GTFS file trips.txt.

All records defined by GTFS shapes.txt should be used in trips.txt.

You can see more about this notice here.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"34382000" 20405
"34382009" 21605
"90842000" 66670
"90842009" 67059
"91027000" 72508
"91027009" 73276
"95394000" 85856
"95394009" 86647
platform_without_parent_station INFO 8

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.
5 "1502 2" "広島駅新幹線口"
6 "2 1" "女学院前"
21 "2010 1" "三次駅前"
22 "2010 2" "三次駅前"
23 "2010 3" "三次駅前"
24 "2010 4" "三次駅前"
1136 "37996 1" "広域公園前駅"
1139 "4 2" "広島バスセンター"
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
unknown_file INFO 11

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"agency_jp.txt"
"agency_mobustation.txt"
"calendar_mobustation.txt"
"routes_jp.txt"
"routes_mobustation.txt"
"stops_direction.txt"
"stops_mobustation.txt"
"stop_times_mobustation.txt"
"translations_mobustation.txt"
"trips_jp.txt"
"trips_mobustation.txt"