GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T21:51:55Z,
for the dataset file:///shared/mobusta-10.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
広島交通
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-01-10
Feed End Date:
2026-07-10

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: 2
  • Blocks: 0
  • Routes: 86
  • Shapes: 200
  • Stops: 1374
  • Trips: 2419

Specification Compliance report

94794 notices reported (3 errors, 94713 warnings, 78 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 90497

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 90497 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 "45c7ea62-f083-438d-bc88-0015a27bb95f" 1
3 "45c7ea62-f083-438d-bc88-0015a27bb95f" 2
4 "45c7ea62-f083-438d-bc88-0015a27bb95f" 3
5 "45c7ea62-f083-438d-bc88-0015a27bb95f" 4
6 "45c7ea62-f083-438d-bc88-0015a27bb95f" 5
7 "45c7ea62-f083-438d-bc88-0015a27bb95f" 6
8 "45c7ea62-f083-438d-bc88-0015a27bb95f" 7
9 "45c7ea62-f083-438d-bc88-0015a27bb95f" 8
10 "45c7ea62-f083-438d-bc88-0015a27bb95f" 9
11 "45c7ea62-f083-438d-bc88-0015a27bb95f" 10
12 "45c7ea62-f083-438d-bc88-0015a27bb95f" 11
13 "45c7ea62-f083-438d-bc88-0015a27bb95f" 12
14 "45c7ea62-f083-438d-bc88-0015a27bb95f" 13
15 "45c7ea62-f083-438d-bc88-0015a27bb95f" 14
16 "45c7ea62-f083-438d-bc88-0015a27bb95f" 15
17 "45c7ea62-f083-438d-bc88-0015a27bb95f" 16
18 "45c7ea62-f083-438d-bc88-0015a27bb95f" 17
19 "45c7ea62-f083-438d-bc88-0015a27bb95f" 18
20 "45c7ea62-f083-438d-bc88-0015a27bb95f" 19
21 "daa58cfb-5112-40f4-8866-003b8093cc4a" 1
22 "daa58cfb-5112-40f4-8866-003b8093cc4a" 2
23 "daa58cfb-5112-40f4-8866-003b8093cc4a" 3
24 "daa58cfb-5112-40f4-8866-003b8093cc4a" 4
25 "daa58cfb-5112-40f4-8866-003b8093cc4a" 5
26 "daa58cfb-5112-40f4-8866-003b8093cc4a" 6
27 "daa58cfb-5112-40f4-8866-003b8093cc4a" 7
28 "daa58cfb-5112-40f4-8866-003b8093cc4a" 8
29 "daa58cfb-5112-40f4-8866-003b8093cc4a" 9
30 "daa58cfb-5112-40f4-8866-003b8093cc4a" 10
31 "daa58cfb-5112-40f4-8866-003b8093cc4a" 11
32 "daa58cfb-5112-40f4-8866-003b8093cc4a" 12
33 "daa58cfb-5112-40f4-8866-003b8093cc4a" 13
34 "daa58cfb-5112-40f4-8866-003b8093cc4a" 14
35 "daa58cfb-5112-40f4-8866-003b8093cc4a" 15
36 "daa58cfb-5112-40f4-8866-003b8093cc4a" 16
37 "daa58cfb-5112-40f4-8866-003b8093cc4a" 17
38 "daa58cfb-5112-40f4-8866-003b8093cc4a" 18
39 "daa58cfb-5112-40f4-8866-003b8093cc4a" 19
40 "daa58cfb-5112-40f4-8866-003b8093cc4a" 20
41 "daa58cfb-5112-40f4-8866-003b8093cc4a" 21
42 "daa58cfb-5112-40f4-8866-003b8093cc4a" 22
43 "daa58cfb-5112-40f4-8866-003b8093cc4a" 23
44 "daa58cfb-5112-40f4-8866-003b8093cc4a" 24
45 "daa58cfb-5112-40f4-8866-003b8093cc4a" 25
46 "daa58cfb-5112-40f4-8866-003b8093cc4a" 26
47 "daa58cfb-5112-40f4-8866-003b8093cc4a" 27
48 "daa58cfb-5112-40f4-8866-003b8093cc4a" 28
49 "daa58cfb-5112-40f4-8866-003b8093cc4a" 29
50 "daa58cfb-5112-40f4-8866-003b8093cc4a" 30
51 "daa58cfb-5112-40f4-8866-003b8093cc4a" 31
mixed_case_recommended_field WARNING 1706

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 1706 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" "高陽・毘沙門台線" 7
"routes.txt" "route_long_name" "七軒茶屋線（深夜）" 17
"routes.txt" "route_long_name" "山本線（深夜）" 22
"routes.txt" "route_long_name" "可部・深川線" 24
"routes.txt" "route_long_name" "勝木線（深夜）" 26
"routes.txt" "route_long_name" "可部・深川線" 28
"routes.txt" "route_long_name" "緑井・高陽・北部医療センター線" 35
"routes.txt" "route_long_name" "可部・深川線" 37
"routes.txt" "route_long_name" "可部・深川線" 43
"routes.txt" "route_long_name" "深川線（深夜）" 58
"routes.txt" "route_long_name" "可部・深川線" 60
"routes.txt" "route_long_name" "可部・深川線" 64
"routes.txt" "route_long_name" "可部・深川線" 66
"routes.txt" "route_long_name" "まちのわループ（左回り）" 71
"routes.txt" "route_long_name" "可部・深川線" 76
"routes.txt" "route_long_name" "桐陽台線（深夜）" 80
"routes.txt" "route_long_name" "まちのわループ（右回り）" 81
"stops.txt" "stop_name" "中央１９ｔｈ" 947
"stops.txt" "stop_name" "中央１９ｔｈ" 948
"stops.txt" "stop_name" "中央１９ｔｈ" 949
"stops.txt" "stop_name" "大須賀町・常盤橋東" 1106
"stops.txt" "stop_name" "県営１７号館前" 1212
"stops.txt" "stop_name" "県営１７号館前" 1213
"stops.txt" "stop_name" "県営１７号館前" 1214
"stops.txt" "stop_name" "県営１７号館前" 1215
"trips.txt" "trip_headsign" "可部上市・北部医療センター経由" 2
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 3
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 4
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 5
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 6
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 7
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 8
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 9
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 10
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 11
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 12
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 13
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 14
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 15
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 16
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 17
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 18
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 19
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 20
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 21
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 22
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 23
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 24
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 25
"trips.txt" "trip_headsign" "広島バスセンター・虹山団地経由" 26
non_ascii_or_non_printable_char WARNING 2509

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 2509 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" "20_平日(共通)"
"calendar.txt" 3 "service_id" "20_土曜(共通)"
"calendar.txt" 4 "service_id" "20_日祝(共通)"
"calendar.txt" 5 "service_id" "30_平日(共通)"
"calendar.txt" 6 "service_id" "30_土曜(共通)"
"calendar.txt" 7 "service_id" "30_日祝(共通)"
"calendar.txt" 8 "service_id" "40_平日(共通)"
"calendar.txt" 9 "service_id" "40_土曜(共通)"
"calendar.txt" 10 "service_id" "40_日祝(共通)"
"calendar.txt" 11 "service_id" "60_平日(共通)"
"calendar.txt" 12 "service_id" "60_土曜(共通)"
"calendar.txt" 13 "service_id" "60_日祝(共通)"
"calendar.txt" 14 "service_id" "90_平日(共通)"
"calendar.txt" 15 "service_id" "90_土曜(共通)"
"calendar.txt" 16 "service_id" "90_日祝(共通)"
"calendar_dates.txt" 2 "service_id" "30_平日(共通)"
"calendar_dates.txt" 3 "service_id" "30_日祝(共通)"
"calendar_dates.txt" 4 "service_id" "20_平日(共通)"
"calendar_dates.txt" 5 "service_id" "20_日祝(共通)"
"calendar_dates.txt" 6 "service_id" "60_平日(共通)"
"calendar_dates.txt" 7 "service_id" "60_日祝(共通)"
"calendar_dates.txt" 8 "service_id" "90_平日(共通)"
"calendar_dates.txt" 9 "service_id" "90_日祝(共通)"
"calendar_dates.txt" 10 "service_id" "40_平日(共通)"
"calendar_dates.txt" 11 "service_id" "40_日祝(共通)"
"calendar_dates.txt" 104 "service_id" "30_平日(共通)"
"calendar_dates.txt" 105 "service_id" "30_日祝(共通)"
"calendar_dates.txt" 106 "service_id" "20_平日(共通)"
"calendar_dates.txt" 107 "service_id" "20_日祝(共通)"
"calendar_dates.txt" 108 "service_id" "60_平日(共通)"
"calendar_dates.txt" 109 "service_id" "60_日祝(共通)"
"calendar_dates.txt" 110 "service_id" "90_平日(共通)"
"calendar_dates.txt" 111 "service_id" "90_日祝(共通)"
"calendar_dates.txt" 112 "service_id" "40_平日(共通)"
"calendar_dates.txt" 113 "service_id" "40_日祝(共通)"
"calendar_dates.txt" 149 "service_id" "30_平日(共通)"
"calendar_dates.txt" 150 "service_id" "30_日祝(共通)"
"calendar_dates.txt" 151 "service_id" "20_平日(共通)"
"calendar_dates.txt" 152 "service_id" "20_日祝(共通)"
"calendar_dates.txt" 153 "service_id" "60_平日(共通)"
"calendar_dates.txt" 154 "service_id" "60_日祝(共通)"
"calendar_dates.txt" 155 "service_id" "90_平日(共通)"
"calendar_dates.txt" 156 "service_id" "90_日祝(共通)"
"calendar_dates.txt" 157 "service_id" "40_平日(共通)"
"calendar_dates.txt" 158 "service_id" "40_日祝(共通)"
"calendar_dates.txt" 249 "service_id" "30_平日(共通)"
"calendar_dates.txt" 250 "service_id" "30_日祝(共通)"
"calendar_dates.txt" 251 "service_id" "20_平日(共通)"
"calendar_dates.txt" 252 "service_id" "20_日祝(共通)"
"calendar_dates.txt" 253 "service_id" "60_平日(共通)"
platform_without_parent_station INFO 65

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.

Only the first 50 of 65 affected records are displayed below.

csvRowNumber (?) Row number of the faulty record. stopId (?) The id of the faulty record. stopName (?) The stop name of the faulty record.
18 "1003 1" "可部駅前"
19 "1003 2" "可部駅前"
20 "1003 3" "可部駅前"
149 "1032 1" "横川駅前"
150 "1032 2" "横川駅前"
151 "1032 3" "横川駅前"
152 "1032 4" "横川駅前"
153 "1032 6" "横川駅前"
154 "1032 8" "横川駅前"
169 "1036 1" "女学院前"
170 "1036 2" "女学院前"
171 "1036 4" "女学院前"
172 "1036 5" "女学院前"
173 "1036 6" "女学院前"
175 "1037 1" "広島駅"
176 "1037 2" "広島駅"
177 "1037 4" "広島駅"
178 "1037 6" "広島駅"
179 "1038 1" "十日市"
180 "1038 2" "十日市"
181 "1038 4" "十日市"
184 "1040 1" "紙屋町"
185 "1040 2" "紙屋町"
186 "1040 4" "紙屋町"
187 "1041 1" "立町"
188 "1041 2" "立町"
189 "1041 3" "立町"
190 "1041 4" "立町"
191 "1041 5" "立町"
192 "1041 6" "立町"
193 "1042 1" "八丁堀"
194 "1042 2" "八丁堀"
195 "1042 3" "八丁堀"
196 "1042 4" "八丁堀"
197 "1042 5" "八丁堀"
198 "1042 6" "八丁堀"
219 "1103 1" "段原中央"
220 "1103 2" "段原中央"
227 "1107 1" "大学病院前"
228 "1107 2" "大学病院前"
229 "1108 1" "出汐三丁目"
230 "1108 2" "出汐三丁目"
235 "1111 1" "県立広島大学前"
236 "1111 2" "県立広島大学前"
245 "1116 1" "御幸橋"
246 "1116 2" "御幸橋"
258 "1123 1" "八丁堀"
259 "1124 1" "八丁堀"
260 "1125 2" "八丁堀"
262 "1127 0" "広島駅"
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"