mie-kotsu-sancokuwana — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-07-11T08:51:16Z,
for the dataset file:///shared/mie-kotsu-sancokuwana_984c21d7.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
三重交通(桑名営業所)
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-06-01
Feed End Date:
2026-10-12

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. shapes.txt
  12. stop_times.txt
  13. stops.txt
  14. translations.txt
  15. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 28
  • Shapes: 79
  • Stops: 437
  • Trips: 2872

Specification Compliance report

3106 notices reported (0 errors, 3099 warnings, 7 infos)

Notice Code Severity Total
duplicate_route_name WARNING 14

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 "3_101_20260601" 16 "3_101_20260711" "" "名古屋桑名線" 3 "7190001001047_3"
3 "3_102_20260601" 17 "3_102_20260711" "" "名四長島温泉線" 3 "7190001001047_3"
4 "3_103_20260601" 18 "3_103_20260711" "" "桑名長島温泉線" 3 "7190001001047_3"
5 "3_104_20260601" 19 "3_104_20260711" "" "城南線" 3 "7190001001047_3"
6 "3_106_20260601" 20 "3_106_20260711" "" "市内循環" 3 "7190001001047_3"
7 "3_110_20260601" 21 "3_110_20260711" "" "桑名大山田団地線" 3 "7190001001047_3"
8 "3_112_20260601" 22 "3_112_20260711" "" "名古屋桑名高速線" 3 "7190001001047_3"
9 "3_113_20260601" 23 "3_113_20260711" "" "栄桑名高速線" 3 "7190001001047_3"
10 "3_114_20260601" 24 "3_114_20260711" "" "陽だまりの丘線" 3 "7190001001047_3"
11 "3_115_20260601" 25 "3_115_20260711" "" "名古屋南陽線" 3 "7190001001047_3"
12 "3_141_20260601" 26 "3_141_20260711" "" "桑名阿下喜線" 3 "7190001001047_3"
13 "3_143_20260601" 27 "3_143_20260711" "" "桑名ネオポリス線" 3 "7190001001047_3"
14 "3_149_20260601" 28 "3_149_20260711" "" "名古屋長島温泉高速" 3 "7190001001047_3"
15 "3_176_20260601" 29 "3_176_20260711" "" "栄長島温泉高速線" 3 "7190001001047_3"
expired_calendar WARNING 3

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.
2 "1_1_20260601"
3 "1_2_20260601"
4 "1_3_20260601"
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 375

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 375 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 2667

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 2667 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.
"stops.txt" "stop_name" "陽だまりの丘(郵政研修所前)" 10
"stops.txt" "stop_name" "陽だまりの丘(郵政研修所前)" 11
"stops.txt" "stop_name" "陽だまりの丘(郵政研修所前)" 12
"stops.txt" "stop_name" "陽だまりの丘(郵政研修所前)" 13
"stops.txt" "stop_name" "桑名シティホテル前 (桑名)" 22
"stops.txt" "stop_name" "桑名シティホテル前 (桑名)" 23
"stops.txt" "stop_name" "桑名駅前 (桑名)" 24
"stops.txt" "stop_name" "桑名駅前 (桑名)" 25
"stops.txt" "stop_name" "桑名駅前 (桑名)" 26
"stops.txt" "stop_name" "桑名駅前 (桑名)" 27
"stops.txt" "stop_name" "有楽町 (桑名)" 28
"stops.txt" "stop_name" "有楽町 (桑名)" 29
"stops.txt" "stop_name" "富永(名古屋)" 42
"stops.txt" "stop_name" "一色大橋 (桑名)" 43
"stops.txt" "stop_name" "一色大橋 (桑名)" 44
"stops.txt" "stop_name" "名古屋(名鉄バスセンター)" 58
"stops.txt" "stop_name" "名古屋(名鉄バスセンター)" 59
"stops.txt" "stop_name" "名古屋(名鉄バスセンター)" 60
"stops.txt" "stop_name" "市役所前 (桑名)" 119
"stops.txt" "stop_name" "市役所前 (桑名)" 120
"stops.txt" "stop_name" "萱町 (桑名)" 125
"stops.txt" "stop_name" "萱町 (桑名)" 126
"stops.txt" "stop_name" "末広町 (桑名)" 127
"stops.txt" "stop_name" "末広町 (桑名)" 128
"stops.txt" "stop_name" "桜通り(桑名)" 138
"stops.txt" "stop_name" "桜通り(桑名)" 139
"stops.txt" "stop_name" "本町 (桑名)" 140
"stops.txt" "stop_name" "センター前(桑名)" 242
"stops.txt" "stop_name" "センター前(桑名)" 243
"stops.txt" "stop_name" "センター前(桑名)" 244
"stops.txt" "stop_name" "センター前(桑名)" 245
"stops.txt" "stop_name" "センター前(桑名)" 246
"stops.txt" "stop_name" "公団住宅前(桑名)" 332
"stops.txt" "stop_name" "公団住宅前(桑名)" 333
"stops.txt" "stop_name" "公団住宅前(桑名)" 334
"stops.txt" "stop_name" "公団住宅前(桑名)" 335
"stops.txt" "stop_name" "公団住宅前(桑名)" 336
"stops.txt" "stop_name" "穴太(阿下喜線)" 358
"stops.txt" "stop_name" "穴太(阿下喜線)" 359
"stops.txt" "stop_name" "穴太(ネオポリス線)" 360
"stops.txt" "stop_name" "穴太(ネオポリス線)" 361
"stops.txt" "stop_name" "赤尾台(桑名)" 371
"stops.txt" "stop_name" "西正和台(桑名)" 372
"stops.txt" "stop_name" "正和台北(桑名)" 373
"stops.txt" "stop_name" "正和台(桑名)" 374
"trips.txt" "trip_headsign" "50 桑名駅前 (桑名)" 2
"trips.txt" "trip_headsign" "50 桑名駅前 (桑名)" 3
"trips.txt" "trip_headsign" "50 桑名駅前 (桑名)" 4
"trips.txt" "trip_headsign" "61 南桑名" 5
"trips.txt" "trip_headsign" "61 南桑名" 6
same_name_and_description_for_stop WARNING 1

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`.
200 "1210_1" "三交北勢"
stops_match_shape_out_of_order WARNING 1

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

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. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
1092 "3_1150512_1" "3_1_1150512_1_1642_20260601" 23903 "1431_2" "富田作業所" [35.12907027898757,136.81542588417392] 23902 "1432_2" "豊治小学校" [35.13179204262567,136.81549058187045]
unused_shape WARNING 37

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.
"3_1060111_2" 239
"3_1060211_2" 291
"3_1070111_2" 337
"3_1070112_1" 384
"3_1100111_2" 429
"3_1100211_2" 543
"3_1100311_2" 777
"3_1100411_2" 905
"3_1100511_2" 1026
"3_1100712_1" 1142
"3_1100812_1" 1392
"3_1101112_1" 1701
"3_1112312_1" 1887
"3_1130611_2" 7686
"3_1130811_2" 8643
"3_1140111_2" 11160
"3_1140212_1" 11459
"3_1140411_2" 11628
"3_1140511_2" 11983
"3_1410811_2" 13402
"3_1410812_1" 13718
"3_1411011_2" 14088
"3_1411111_2" 14369
"3_1430311_2" 15474
"3_1430312_1" 15711
"3_1430411_2" 15961
"3_1430412_1" 16152
"3_1430711_2" 16341
"3_1430712_1" 16443
"3_1430801_2" 16545
"3_1430811_2" 16793
"3_9610211_2" 18787
"3_9610212_1" 19890
"3_9610412_1" 21035
"3_9610711_2" 22260
"3_9610712_1" 23028
"3_9610812_1" 24136
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"