GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T18:09:46Z,
for the dataset file:///shared/mobusta-19.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
廿日市市
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-01-19
Feed End Date:
2026-07-19

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: 7
  • Shapes: 36
  • Stops: 329
  • Trips: 204

Specification Compliance report

6135 notices reported (3 errors, 6113 warnings, 19 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 5876

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 5876 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 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 1
3 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 2
4 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 3
5 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 4
6 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 5
7 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 6
8 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 7
9 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 8
10 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 9
11 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 10
12 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 11
13 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 12
14 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 13
15 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 14
16 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 15
17 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 16
18 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 17
19 "dfe9fee8-b9c6-4c09-9e86-0023b0446287" 18
20 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 1
21 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 2
22 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 3
23 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 4
24 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 5
25 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 6
26 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 7
27 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 8
28 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 9
29 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 10
30 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 11
31 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 12
32 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 13
33 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 14
34 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 15
35 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 16
36 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 17
37 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 18
38 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 19
39 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 20
40 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 21
41 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 22
42 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 23
43 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 24
44 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 25
45 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 26
46 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 27
47 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 28
48 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 29
49 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 30
50 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 31
51 "e83e8d97-04e5-467e-9b22-007cfa229bc9" 32
mixed_case_recommended_field WARNING 7

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_long_name" "廿日市市さくらバス 宮内ルート" 2
"routes.txt" "route_long_name" "廿日市さくらバス 原ルート" 3
"routes.txt" "route_long_name" "廿日市市さくらバス 阿品台ルート" 4
"routes.txt" "route_long_name" "佐伯さくらバス 玖島線" 5
"routes.txt" "route_long_name" "廿日市市さくらバス 佐方ルート" 6
"routes.txt" "route_long_name" "廿日市市さくらバス 吉和ルート" 7
"routes.txt" "route_long_name" "廿日市市さくらバス 阿品ルート" 8
non_ascii_or_non_printable_char WARNING 221

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 221 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" "900_平日(共通)"
"calendar.txt" 3 "service_id" "900_土曜(共通)"
"calendar.txt" 4 "service_id" "900_日祝(共通)"
"calendar_dates.txt" 2 "service_id" "900_平日(共通)"
"calendar_dates.txt" 3 "service_id" "900_日祝(共通)"
"calendar_dates.txt" 4 "service_id" "900_平日(共通)"
"calendar_dates.txt" 5 "service_id" "900_日祝(共通)"
"calendar_dates.txt" 6 "service_id" "900_平日(共通)"
"calendar_dates.txt" 7 "service_id" "900_日祝(共通)"
"calendar_dates.txt" 8 "service_id" "900_平日(共通)"
"calendar_dates.txt" 9 "service_id" "900_日祝(共通)"
"calendar_dates.txt" 10 "service_id" "900_平日(共通)"
"calendar_dates.txt" 11 "service_id" "900_日祝(共通)"
"calendar_dates.txt" 12 "service_id" "900_平日(共通)"
"calendar_dates.txt" 13 "service_id" "900_日祝(共通)"
"calendar_dates.txt" 14 "service_id" "900_平日(共通)"
"calendar_dates.txt" 15 "service_id" "900_日祝(共通)"
"trips.txt" 2 "service_id" "900_土曜(共通)"
"trips.txt" 3 "service_id" "900_日祝(共通)"
"trips.txt" 4 "service_id" "900_土曜(共通)"
"trips.txt" 5 "service_id" "900_平日(共通)"
"trips.txt" 6 "service_id" "900_日祝(共通)"
"trips.txt" 7 "service_id" "900_日祝(共通)"
"trips.txt" 8 "service_id" "900_土曜(共通)"
"trips.txt" 9 "service_id" "900_平日(共通)"
"trips.txt" 10 "service_id" "900_土曜(共通)"
"trips.txt" 11 "service_id" "900_日祝(共通)"
"trips.txt" 12 "service_id" "900_土曜(共通)"
"trips.txt" 13 "service_id" "900_日祝(共通)"
"trips.txt" 14 "service_id" "900_日祝(共通)"
"trips.txt" 15 "service_id" "900_土曜(共通)"
"trips.txt" 16 "service_id" "900_平日(共通)"
"trips.txt" 17 "service_id" "900_平日(共通)"
"trips.txt" 18 "service_id" "900_日祝(共通)"
"trips.txt" 19 "service_id" "900_平日(共通)"
"trips.txt" 20 "service_id" "900_土曜(共通)"
"trips.txt" 21 "service_id" "900_平日(共通)"
"trips.txt" 22 "service_id" "900_土曜(共通)"
"trips.txt" 23 "service_id" "900_日祝(共通)"
"trips.txt" 24 "service_id" "900_日祝(共通)"
"trips.txt" 25 "service_id" "900_平日(共通)"
"trips.txt" 26 "service_id" "900_土曜(共通)"
"trips.txt" 27 "service_id" "900_平日(共通)"
"trips.txt" 28 "service_id" "900_平日(共通)"
"trips.txt" 29 "service_id" "900_日祝(共通)"
"trips.txt" 30 "service_id" "900_平日(共通)"
"trips.txt" 31 "service_id" "900_土曜(共通)"
"trips.txt" 32 "service_id" "900_土曜(共通)"
"trips.txt" 33 "service_id" "900_土曜(共通)"
"trips.txt" 34 "service_id" "900_平日(共通)"
stop_too_far_from_shape WARNING 8

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 "205 0" "8611fcf3-baea-4a70-b975-1e0611061822" 618 "2160 2" "玖島花咲く館" [34.3908335,132.2459746] 295.7198699304003
184 "205 0" "8611fcf3-baea-4a70-b975-1e0611061822" 619 "2155 2" "泉水入口" [34.3908335,132.2459746] 136.54621157604626
105 "204 0" "d72cec05-43e9-4aa9-9bb2-0c3ccae8d17c" 346 "2155 1" "泉水入口" [34.39071690000001,132.2460079] 117.74614118687424
105 "204 0" "d72cec05-43e9-4aa9-9bb2-0c3ccae8d17c" 347 "2160 1" "玖島花咲く館" [34.39071690000001,132.2460079] 295.03300147946334
200 "202 0" "0893d403-a313-45d0-8404-0db4bba3e530" 386 "2155 1" "泉水入口" [34.390749099999994,132.2459947] 119.01119699485359
200 "202 0" "0893d403-a313-45d0-8404-0db4bba3e530" 387 "2160 1" "玖島花咲く館" [34.390749099999994,132.2459947] 295.52356688702054
52 "201 0" "3a747e34-f9db-4773-85b0-1eee8d238d46" 714 "2160 2" "玖島花咲く館" [34.39076690000001,132.2460079] 293.9658621899259
52 "201 0" "3a747e34-f9db-4773-85b0-1eee8d238d46" 715 "2155 2" "泉水入口" [34.39076690000001,132.2460079] 133.08944537026764
platform_without_parent_station INFO 6

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.
169 "23430 2" "阿品台公園前"
170 "23430 3" "阿品台公園前"
213 "260 0" "JA広島総合病院"
214 "260 50" "JA広島総合病院"
288 "750 2" "宮内串戸駅"
289 "750 50" "宮内串戸駅"
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
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"