tomo-railway — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-07-10T15:01:45Z,
for the dataset file:///shared/tomo-railway_e4155562.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
鞆鉄道
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-06-06
Feed End Date:
2026-10-11

Files included


  1. agency.txt
  2. agency_jp.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. feed_info.txt
  8. office_jp.txt
  9. routes.txt
  10. routes_jp.txt
  11. stop_times.txt
  12. stops.txt
  13. translations.txt
  14. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 13
  • Shapes: 0
  • Stops: 581
  • Trips: 2410

Specification Compliance report

3038 notices reported (3 errors, 602 warnings, 2433 infos)

Notice Code Severity Total
duplicate_key ERROR 3

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

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.
"translations.txt" 505 506 "table_name,field_name,language,field_value" "stops,stop_name,ja__#Hrkt,小林"
"translations.txt" 1209 1210 "table_name,field_name,language,field_value" "stops,stop_name,en,道上"
"translations.txt" 1212 1213 "table_name,field_name,language,field_value" "stops,stop_name,ja__#Hrkt,道上"
expired_calendar WARNING 69

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.

Only the first 50 of 69 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "1_581_20241027"
3 "1_583_20241027"
4 "1_585_20241027"
5 "1_599_20241229"
6 "1_602_20241231"
7 "1_604_20241231"
8 "1_606_20241231"
9 "1_617_20250401"
10 "1_618_20250401"
11 "1_619_20250401"
12 "1_636_20250621"
13 "1_637_20250621"
14 "1_638_20250621"
15 "1_655_20251001"
16 "1_656_20251001"
17 "1_657_20251001"
20 "1_657_20251229"
21 "1_655_20251231"
22 "1_656_20251231"
23 "1_657_20251231"
24 "1_692_20260401"
25 "1_694_20260401"
26 "1_695_20260401"
30 "3_586_20241027"
31 "3_588_20241027"
32 "3_590_20241027"
33 "3_601_20241229"
34 "3_607_20241231"
35 "3_609_20241231"
36 "3_611_20241231"
37 "3_623_20250401"
38 "3_626_20250401"
39 "3_628_20250401"
40 "3_642_20250621"
41 "3_645_20250621"
42 "3_647_20250621"
43 "3_661_20251001"
44 "3_664_20251001"
45 "3_666_20251001"
48 "3_666_20251229"
49 "3_661_20251231"
50 "3_664_20251231"
51 "3_666_20251231"
52 "3_697_20260401"
53 "3_699_20260401"
54 "3_701_20260401"
58 "5_591_20241027"
59 "5_593_20241027"
60 "5_595_20241027"
61 "5_600_20241229"
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_recommended_field WARNING 424

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.

Only the first 50 of 424 affected records are displayed below.

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"
"fare_attributes.txt" 12 "agency_id"
"fare_attributes.txt" 13 "agency_id"
"fare_attributes.txt" 14 "agency_id"
"fare_attributes.txt" 15 "agency_id"
"fare_attributes.txt" 16 "agency_id"
"fare_attributes.txt" 17 "agency_id"
"fare_attributes.txt" 18 "agency_id"
"fare_attributes.txt" 19 "agency_id"
"fare_attributes.txt" 20 "agency_id"
"fare_attributes.txt" 21 "agency_id"
"fare_attributes.txt" 22 "agency_id"
"fare_attributes.txt" 23 "agency_id"
"fare_attributes.txt" 24 "agency_id"
"fare_attributes.txt" 25 "agency_id"
"fare_attributes.txt" 26 "agency_id"
"fare_attributes.txt" 27 "agency_id"
"fare_attributes.txt" 28 "agency_id"
"fare_attributes.txt" 29 "agency_id"
"fare_attributes.txt" 30 "agency_id"
"fare_attributes.txt" 31 "agency_id"
"fare_attributes.txt" 32 "agency_id"
"fare_attributes.txt" 33 "agency_id"
"fare_attributes.txt" 34 "agency_id"
"fare_attributes.txt" 35 "agency_id"
"fare_attributes.txt" 36 "agency_id"
"fare_attributes.txt" 37 "agency_id"
"fare_attributes.txt" 38 "agency_id"
"fare_attributes.txt" 39 "agency_id"
"fare_attributes.txt" 40 "agency_id"
"fare_attributes.txt" 41 "agency_id"
"fare_attributes.txt" 42 "agency_id"
"fare_attributes.txt" 43 "agency_id"
"fare_attributes.txt" 44 "agency_id"
"fare_attributes.txt" 45 "agency_id"
"fare_attributes.txt" 46 "agency_id"
"fare_attributes.txt" 47 "agency_id"
"fare_attributes.txt" 48 "agency_id"
"fare_attributes.txt" 49 "agency_id"
"fare_attributes.txt" 50 "agency_id"
"fare_attributes.txt" 51 "agency_id"
mixed_case_recommended_field WARNING 73

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 73 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" "みろくの里・神勝寺 直行便" 4
"routes.txt" "route_long_name" "まわローズ(青ルート)" 13
"routes.txt" "route_long_name" "三原駅・如水館線(深線)" 14
"stops.txt" "stop_name" "内海・横田漁港前" 32
"stops.txt" "stop_name" "地吹町(老人大学前)" 190
"stops.txt" "stop_name" "地吹町(老人大学前)" 191
"stops.txt" "stop_name" "リム・ふくやま前" 475
"stops.txt" "stop_name" "糸崎3丁目" 528
"stops.txt" "stop_name" "糸崎3丁目" 529
"trips.txt" "trip_headsign" "内海・横田漁港前" 346
"trips.txt" "trip_headsign" "内海・横田漁港前" 347
"trips.txt" "trip_headsign" "内海・横田漁港前" 348
"trips.txt" "trip_headsign" "内海・横田漁港前" 349
"trips.txt" "trip_headsign" "内海・横田漁港前" 350
"trips.txt" "trip_headsign" "内海・横田漁港前" 351
"trips.txt" "trip_headsign" "内海・横田漁港前" 352
"trips.txt" "trip_headsign" "内海・横田漁港前" 353
"trips.txt" "trip_headsign" "内海・横田漁港前" 354
"trips.txt" "trip_headsign" "内海・横田漁港前" 355
"trips.txt" "trip_headsign" "内海・横田漁港前" 356
"trips.txt" "trip_headsign" "内海・横田漁港前" 357
"trips.txt" "trip_headsign" "内海・横田漁港前" 358
"trips.txt" "trip_headsign" "内海・横田漁港前" 359
"trips.txt" "trip_headsign" "内海・横田漁港前" 360
"trips.txt" "trip_headsign" "内海・横田漁港前" 361
"trips.txt" "trip_headsign" "内海・横田漁港前" 362
"trips.txt" "trip_headsign" "内海・横田漁港前" 363
"trips.txt" "trip_headsign" "内海・横田漁港前" 364
"trips.txt" "trip_headsign" "内海・横田漁港前" 365
"trips.txt" "trip_headsign" "内海・横田漁港前" 366
"trips.txt" "trip_headsign" "内海・横田漁港前" 367
"trips.txt" "trip_headsign" "内海・横田漁港前" 368
"trips.txt" "trip_headsign" "内海・横田漁港前" 369
"trips.txt" "trip_headsign" "内海・横田漁港前" 370
"trips.txt" "trip_headsign" "内海・横田漁港前" 371
"trips.txt" "trip_headsign" "内海・横田漁港前" 372
"trips.txt" "trip_headsign" "内海・横田漁港前" 373
"trips.txt" "trip_headsign" "内海・横田漁港前" 374
"trips.txt" "trip_headsign" "内海・横田漁港前" 375
"trips.txt" "trip_headsign" "内海・横田漁港前" 376
"trips.txt" "trip_headsign" "内海・横田漁港前" 377
"trips.txt" "trip_headsign" "内海・横田漁港前" 378
"trips.txt" "trip_headsign" "内海・横田漁港前" 379
"trips.txt" "trip_headsign" "内海・横田漁港前" 380
"trips.txt" "trip_headsign" "内海・横田漁港前" 381
"trips.txt" "trip_headsign" "内海・横田漁港前" 382
"trips.txt" "trip_headsign" "内海・横田漁港前" 383
"trips.txt" "trip_headsign" "内海・横田漁港前" 384
"trips.txt" "trip_headsign" "内海・横田漁港前" 385
"trips.txt" "trip_headsign" "内海・横田漁港前" 386
same_name_and_description_for_stop WARNING 22

same_name_and_description_for_stop

Same name and description for stop.

The GTFS spec defines stops.txt stop_description as:

Description of the location that provides useful, quality information. Do not simply duplicate the name of the location.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty record. stopDesc (?) The faulty record's `stop_desc`.
27 "111_226" "入船町"
64 "232_474" "河口大橋"
65 "232_475" "河口大橋"
111 "389_799" "県立歴史博物館前"
119 "402_824" "光寿園前"
160 "527_1078" "市役所北"
161 "528_1079" "市役所東"
206 "613_1252" "すこやかセンター前"
249 "721_1470" "中央図書館ローズコム"
268 "767_1565" "天下橋"
332 "923_1899" "ばら公園前"
337 "932_1917" "東警察署前"
338 "934_1922" "東中学校前"
351 "999_2055" "福山駅北口"
357 "1019_2101" "伏見町"
396 "1128_2321" "南小学校前"
416 "1149_2369" "水呑小学校入口"
417 "1149_2370" "水呑小学校入口"
434 "1175_2429" "三吉町南"
475 "1292_2676" "リム・ふくやま前"
486 "1318_2726" "阿伏兎観音"
499 "1443_2977" "尾道工業団地"
stop_without_stop_time WARNING 13

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.
39 "160_327" "江の浦"
40 "160_328" "江の浦"
120 "404_828" "荒神社前"
121 "404_829" "荒神社前"
343 "968_1989" "平"
344 "968_1990" "平"
394 "1124_2313" "港口"
395 "1124_2314" "港口"
467 "1274_2642" "四ツ角"
468 "1275_2641" "四ツ角"
471 "1278_2648" "阿藻珍味前"
472 "1278_2649" "阿藻珍味前"
532 "2047_3677" "三原駅"
big_gap_in_service INFO 18

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"1_618_20250401" "2025-04-19" "2025-05-17" 27
"1_636_20250621" "2025-07-18" "2025-08-25" 37
"1_637_20250621" "2025-07-19" "2025-08-30" 41
"1_707_20260606" "2026-07-17" "2026-08-24" 37
"1_709_20260606" "2026-06-20" "2026-08-29" 69
"3_626_20250401" "2025-04-19" "2025-05-10" 20
"3_626_20250401" "2025-05-17" "2025-06-07" 20
"3_642_20250621" "2025-07-18" "2025-08-25" 37
"3_645_20250621" "2025-07-19" "2025-08-30" 41
"3_712_20260606" "2026-07-17" "2026-08-24" 37
"3_714_20260606" "2026-07-04" "2026-08-29" 55
"5_632_20250401" "2025-04-19" "2025-05-10" 20
"5_632_20250401" "2025-05-17" "2025-06-07" 20
"5_649_20250621" "2025-07-18" "2025-08-28" 40
"5_651_20250621" "2025-07-19" "2025-08-30" 41
"5_704_20260401" "2026-04-18" "2026-05-09" 20
"5_717_20260606" "2026-07-17" "2026-08-27" 40
"5_719_20260606" "2026-07-18" "2026-09-05" 48
service_window_outside_feed_period INFO 26

service_window_outside_feed_period

A service window is not covered by the feed's validity period.

You can see more about this notice here.

serviceId (?) The service_id whose active window extends outside the feed validity period. serviceWindowStartDate (?) The first active date of the service window. serviceWindowEndDate (?) The last active date of the service window. daysBeforeFeedStart (?) Number of days the service window extends before feed_start_date (0 if none). daysAfterFeedEnd (?) Number of days the service window extends after feed_end_date (0 if none).
"5_705_20260401" "2026-04-04" "2026-05-23" 63 0
"1_694_20260401" "2026-04-18" "2026-05-30" 49 0
"5_702_20260401" "2026-04-06" "2026-06-05" 61 0
"1_659_20251231" "2026-01-05" "2026-03-31" 152 0
"3_698_20260401" "2026-04-01" "2026-04-03" 66 0
"3_665_20251231" "2026-02-14" "2026-03-28" 112 0
"5_703_20260401" "2026-04-01" "2026-05-01" 66 0
"5_706_20260401" "2026-04-05" "2026-05-31" 62 0
"1_660_20251231" "2026-01-10" "2026-03-28" 147 0
"3_666_20251231" "2026-01-04" "2026-03-29" 153 0
"3_700_20260401" "2026-04-04" "2026-05-23" 63 0
"1_689_20251231" "2025-12-31" "2026-01-03" 157 0
"3_663_20251231" "2026-03-23" "2026-03-31" 75 0
"1_657_20251231" "2026-01-04" "2026-03-29" 153 0
"1_693_20260401" "2026-04-01" "2026-04-03" 66 0
"1_696_20260401" "2026-04-04" "2026-05-23" 63 0
"3_699_20260401" "2026-04-18" "2026-05-30" 49 0
"3_661_20251231" "2025-12-31" "2026-03-19" 157 0
"3_701_20260401" "2026-04-05" "2026-05-31" 62 0
"1_655_20251231" "2026-01-07" "2026-03-19" 150 0
"1_656_20251231" "2026-01-17" "2026-03-21" 140 0
"3_664_20251231" "2026-01-03" "2026-03-21" 154 0
"1_692_20260401" "2026-04-06" "2026-06-05" 61 0
"3_697_20260401" "2026-04-06" "2026-06-05" 61 0
"1_695_20260401" "2026-04-05" "2026-05-31" 62 0
"5_704_20260401" "2026-04-18" "2026-05-30" 49 0
unknown_column INFO 4

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.
"routes.txt" "jp_parent_route_id" 10
"trips.txt" "jp_trip_desc" 9
"trips.txt" "jp_trip_desc_symbol" 10
"trips.txt" "jp_office_id" 11
unknown_file INFO 3

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"routes_jp.txt"
"agency_jp.txt"
"office_jp.txt"
unsorted_stop_times INFO 2382

unsorted_stop_times

Stop times are not sorted by trip_id and stop_sequence.

'stop_times.txt' entries for a given trip are not sorted by stop_sequence, or are not contiguous in the file.

You can see more about this notice here.

Only the first 50 of 2382 affected records are displayed below.

tripId (?) The faulty record's trip_id. startCsvRowNumber (?) CSV row number of the first stop_times entry for this trip. endCsvRowNumber (?) CSV row number of the last stop_times entry for this trip.
"3_716_290_1_3765_20260401" 52314 52595
"3_709_352_2_5776_20251231" 14674 14849
"3_697_287_1_5697_20260401" 50720 50914
"3_711_352_2_5775_20251231" 14496 14670
"3_698_256_1_3519_20260401" 69408 69489
"3_697_288_2_3722_20251231" 10661 10877
"3_692_233_1_5507_20260401" 24332 24456
"3_711_271_2_3616_20260401" 34124 34247
"3_707_233_1_2823_20260401" 19659 19786
"1_717_6301_1_102114_20260606" 1258 1300
"3_701_310_1_5517_20260401" 36591 36654
"3_718_323_1_5259_20260401" 40197 40273
"3_708_254_2_3334_20260401" 68107 68187
"3_715_272_2_3607_20260401" 46463 46710
"3_705_274_2_5480_20260401" 39859 39969
"3_695_235_2_3172_20260401" 32203 32266
"3_697_269_1_3579_20260401" 45374 45535
"3_711_233_1_2865_20260401" 22477 22599
"3_696_233_1_2850_20260401" 21453 21576
"3_699_305_2_3886_20260401" 61120 61390
"3_713_253_1_3422_20260401" 65303 65491
"1_708_307_2_5012_20260606" 98 144
"3_693_233_1_2800_20260401" 18126 18248
"3_697_285_1_3710_20251231" 8330 8546
"3_700_223_1_2725_20260401" 62038 62180
"3_699_223_1_2727_20260401" 62182 62323
"1_708_307_2_5017_20260606" 147 193
"3_704_250_1_3392_20260401" 38014 38134
"3_698_295_1_3829_20260401" 54608 54812
"3_695_235_2_3149_20260401" 31499 31562
"3_708_281_1_5705_20251231" 15873 15929
"3_692_233_1_2792_20260401" 17870 17991
"3_698_260_2_3470_20260401" 65975 66164
"3_707_235_2_3090_20260401" 28364 28489
"3_697_229_1_2925_20260401" 40597 40683
"3_695_233_1_2905_20260401" 23820 23882
"3_707_309_2_5294_20260401" 34736 34860
"3_666_266_2_3558_20251231" 4490 4751
"3_721_322_1_3635_20260401" 40064 40189
"3_711_230_1_5720_20251231" 16567 16589
"3_693_233_1_2805_20260401" 18509 18631
"3_693_230_1_5717_20251231" 16540 16546
"3_703_226_1_5468_20260401" 37069 37159
"3_692_239_2_3256_20260401" 64949 64967
"3_711_235_2_3100_20260401" 28877 28999
"3_714_275_1_3598_20251231" 5844 6105
"3_709_230_1_5721_20251231" 16598 16619
"3_697_299_2_3856_20260401" 56289 56496
"3_707_309_2_5512_20260401" 35375 35502
"3_714_288_2_5472_20251231" 11220 11544