kanto-jidousha — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-09-11T21:05:50Z,
for the dataset file:///shared/kanto-jidousha_61402444.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
ジョルダン株式会社
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-10-01
Feed End Date:
2027-09-29

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. pass_attributes.txt
  9. pass_rules.txt
  10. routes.txt
  11. shapes.txt
  12. stop_times.txt
  13. stops.txt
  14. translations.txt
  15. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 266
  • Shapes: 265
  • Stops: 4193
  • Trips: 4402

Specification Compliance report

105546 notices reported (3 errors, 100940 warnings, 4603 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"
duplicate_route_name WARNING 12

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 "R090400002000000" 3 "R090400002010000" "獨協医大病院線" "おもちゃのまち駅~獨協医大病院" 3 "5060001001128"
5 "R090400114000000" 6 "R090400114010000" "フィオーレ線" "びゅうフォレスト~フィ~氏家駅" 3 "5060001001128"
120 "R090400177000000" 121 "R090400177010000" "[34]" "宇都宮市内循環線:県庁先回り" 3 "5060001001128"
186 "R090400092000000" 187 "R090400092010000" "佐野新都市線" "佐野駅~佐野BT" 3 "5060001001128"
190 "R090400094000000" 191 "R090400094010000" "自治医大線" "自治医大駅~自治医大病院前" 3 "5060001001128"
192 "R090400224000000" 193 "R090400224010000" "[15]" "城南・新市民病院線" 3 "5060001001128"
205 "R090400099000000" 206 "R090400099010000" "[38]" "雀宮駅~さつき団地~西川田駅東" 3 "5060001001128"
223 "R090400180000000" 224 "R090400180010000" "ゆうがおバス" "石橋駅~おもちゃ~獨協医大病院" 3 "5060001001128"
233 "R090400102000000" 234 "R090400102010000" "国学院線" "栃木駅~倭町~国学院" 3 "5060001001128"
239 "R090400161020000" 240 "R090400161000000" "" "那須塩原駅~黒磯駅~那須RW" 3 "5060001001128"
241 "R090400161030001" 242 "R090400161010001" "[N3]" "那須塩原駅~黒磯駅~那須RW" 3 "5060001001128"
252 "R090400209000000" 253 "R090400209010000" "那須高原観光周遊バス[Eコース]" "那須高原観光周遊バス:Eコース" 3 "5060001001128"
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 118

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 118 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"
missing_timepoint_value WARNING 100000

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 100000 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 "T0904000001" 0
3 "T0904000001" 1
4 "T0904000001" 2
5 "T0904000001" 3
6 "T0904000002" 0
7 "T0904000002" 1
8 "T0904000002" 2
9 "T0904000002" 3
10 "T0904000003" 0
11 "T0904000003" 1
12 "T0904000003" 2
13 "T0904000003" 3
14 "T0904000004" 0
15 "T0904000004" 1
16 "T0904000004" 2
17 "T0904000004" 3
18 "T0904000005" 0
19 "T0904000005" 1
20 "T0904000005" 2
21 "T0904000005" 3
22 "T0904000006" 0
23 "T0904000006" 1
24 "T0904000006" 2
25 "T0904000006" 3
26 "T0904000007" 0
27 "T0904000007" 1
28 "T0904000007" 2
29 "T0904000007" 3
30 "T0904000008" 0
31 "T0904000008" 1
32 "T0904000008" 2
33 "T0904000008" 3
34 "T0904000009" 0
35 "T0904000009" 1
36 "T0904000009" 2
37 "T0904000009" 3
38 "T0904000010" 0
39 "T0904000010" 1
40 "T0904000010" 2
41 "T0904000010" 3
42 "T0904000011" 0
43 "T0904000011" 1
44 "T0904000011" 2
45 "T0904000011" 3
46 "T0904000012" 0
47 "T0904000012" 1
48 "T0904000012" 2
49 "T0904000012" 3
50 "T0904000013" 0
51 "T0904000013" 1
mixed_case_recommended_field WARNING 696

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 696 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.
"trips.txt" "trip_headsign" "西川田東(江曽島)" 173
"trips.txt" "trip_headsign" "西川田東(江曽島)" 174
"trips.txt" "trip_headsign" "西川田東(江曽島)" 175
"trips.txt" "trip_headsign" "西川田東(江曽島)" 176
"trips.txt" "trip_headsign" "西川田東(江曽島)" 177
"trips.txt" "trip_headsign" "西川田東(江曽島)" 178
"trips.txt" "trip_headsign" "西川田東(江曽島)" 179
"trips.txt" "trip_headsign" "西川田東(江曽島)" 180
"trips.txt" "trip_headsign" "西川田東(江曽島)" 181
"trips.txt" "trip_headsign" "西川田東(江曽島)" 182
"trips.txt" "trip_headsign" "西川田東(江曽島)" 183
"trips.txt" "trip_headsign" "西川田東(江曽島)" 184
"trips.txt" "trip_headsign" "西川田東(江曽島)" 185
"trips.txt" "trip_headsign" "西川田東(江曽島)" 186
"trips.txt" "trip_headsign" "西川田東(江曽島)" 187
"trips.txt" "trip_headsign" "西川田東(江曽島)" 188
"trips.txt" "trip_headsign" "西川田東(江曽島)" 189
"trips.txt" "trip_headsign" "西川田東(江曽島)" 190
"trips.txt" "trip_headsign" "西川田東(江曽島)" 191
"trips.txt" "trip_headsign" "西川田東(江曽島)" 192
"trips.txt" "trip_headsign" "西川田東(江曽島)" 193
"trips.txt" "trip_headsign" "西川田東(江曽島)" 194
"trips.txt" "trip_headsign" "西川田東(江曽島)" 195
"trips.txt" "trip_headsign" "西川田東(江曽島)" 196
"trips.txt" "trip_headsign" "西川田東(江曽島)" 197
"trips.txt" "trip_headsign" "西川田東(江曽島)" 198
"trips.txt" "trip_headsign" "西川田東(江曽島)" 199
"trips.txt" "trip_headsign" "西川田東(江曽島)" 200
"trips.txt" "trip_headsign" "西川田東(江曽島)" 201
"trips.txt" "trip_headsign" "西川田東(江曽島)" 202
"trips.txt" "trip_headsign" "西川田東(江曽島)" 203
"trips.txt" "trip_headsign" "西川田東(江曽島)" 204
"trips.txt" "trip_headsign" "西川田東(江曽島)" 205
"trips.txt" "trip_headsign" "西川田東(江曽島)" 206
"trips.txt" "trip_headsign" "西川田東(江曽島)" 207
"trips.txt" "trip_headsign" "西川田東(江曽島)" 208
"trips.txt" "trip_headsign" "西川田東(江曽島)" 209
"trips.txt" "trip_headsign" "西川田東(江曽島)" 210
"trips.txt" "trip_headsign" "西川田東(江曽島)" 211
"trips.txt" "trip_headsign" "西川田東(江曽島)" 212
"trips.txt" "trip_headsign" "西川田東(江曽島)" 213
"trips.txt" "trip_headsign" "西川田東(江曽島)" 214
"trips.txt" "trip_headsign" "西川田東(江曽島)" 215
"trips.txt" "trip_headsign" "西川田東(江曽島)" 216
"trips.txt" "trip_headsign" "西川田東(江曽島)" 217
"trips.txt" "trip_headsign" "西川田東(江曽島)" 218
"trips.txt" "trip_headsign" "西川田東(江曽島)" 219
"trips.txt" "trip_headsign" "西川田東(江曽島)" 220
"trips.txt" "trip_headsign" "西川田東(江曽島)" 221
"trips.txt" "trip_headsign" "西川田東(江曽島)" 222
route_short_name_too_long WARNING 5

route_short_name_too_long

Short name of a route is too long (more than 12 characters).

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`.
"R090400205010000" 249 "那須高原観光周遊バス[Aコース]"
"R090400207000000" 250 "那須高原観光周遊バス[Cコース]"
"R090400208010000" 251 "那須高原観光周遊バス[Dコース]"
"R090400209000000" 252 "那須高原観光周遊バス[Eコース]"
"R090400209010000" 253 "那須高原観光周遊バス[Eコース]"
service_has_no_active_day_of_the_week WARNING 1

service_has_no_active_day_of_the_week

A service is not valid for any day of the week.

You can see more about this notice here.

csvRowNumber (?) The row number in calendar.txt where the error occurs. serviceId (?) The service_id field value.
26 "S000029"
single_shape_point WARNING 2

single_shape_point

The shape within shapes.txt contains a single shape point.

A shape should contain more than one shape point to visualize the route

You can see more about this notice here.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"SP00033" 12368
"SP00034" 12369
stop_too_far_from_shape WARNING 104

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.

Only the first 50 of 104 affected records are displayed below.

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.
4011 "SP00237" "T0904005631" 129777 "S090400116800100" "那須ロープウェイ" [37.12101455085214,139.98445359597056] 696.8028333649498
678 "SP00033" "T0904000946" 18903 "S090400005200700" "宇都宮駅西口" [36.55965167898822,139.89768625337726] 104.13297269299007
678 "SP00033" "T0904000946" 18904 "S090400005000100" "上河原" [36.55965167898822,139.89768625337726] 353.31380058246936
678 "SP00033" "T0904000946" 18905 "S090400004900100" "大工町" [36.55965167898822,139.89768625337726] 630.5410071732656
678 "SP00033" "T0904000946" 18906 "S090400004800300" "宮島町十文字" [36.55965167898822,139.89768625337726] 805.2448502149093
678 "SP00033" "T0904000946" 18907 "S090400005300400" "馬場町" [36.55965167898822,139.89768625337726] 1025.9402800363118
678 "SP00033" "T0904000946" 18908 "S090400005400300" "県庁前(栃木)" [36.55965167898822,139.89768625337726] 1270.7233513908322
678 "SP00033" "T0904000946" 18909 "S090400005500100" "東武駅前" [36.55965167898822,139.89768625337726] 1531.0690718904445
678 "SP00033" "T0904000946" 18910 "S090400005600100" "伝馬町" [36.55965167898822,139.89768625337726] 1909.2528268650913
678 "SP00033" "T0904000946" 18911 "S090400005700100" "裁判所前(宇都宮市)" [36.55965167898822,139.89768625337726] 2052.469569183143
678 "SP00033" "T0904000946" 18912 "S090400005800100" "新川" [36.55965167898822,139.89768625337726] 2285.348533854802
678 "SP00033" "T0904000946" 18913 "S090400005900100" "桜小学校入口" [36.55965167898822,139.89768625337726] 2596.2374151212834
678 "SP00033" "T0904000946" 18914 "S090400006000500" "桜通十文字" [36.55965167898822,139.89768625337726] 2924.7215815632267
678 "SP00033" "T0904000946" 18915 "S090400006100100" "関東自動車整備前" [36.55965167898822,139.89768625337726] 3125.7930644389876
678 "SP00033" "T0904000946" 18916 "S090400006200100" "作新学院前" [36.55965167898822,139.89768625337726] 3600.75617177427
678 "SP00033" "T0904000946" 18917 "S090400006300100" "陽西中西" [36.55965167898822,139.89768625337726] 3831.667113076256
678 "SP00033" "T0904000946" 18918 "S090400006400100" "東中丸" [36.55965167898822,139.89768625337726] 4150.356574291491
678 "SP00033" "T0904000946" 18919 "S090400006500100" "中丸" [36.55965167898822,139.89768625337726] 4577.430900900399
678 "SP00033" "T0904000946" 18920 "S090400006600100" "西中丸" [36.55965167898822,139.89768625337726] 4795.595965439822
678 "SP00033" "T0904000946" 18921 "S090400006700100" "駒生町" [36.55965167898822,139.89768625337726] 5017.5462922585
678 "SP00033" "T0904000946" 18922 "S090400006800100" "中丸公園前" [36.55965167898822,139.89768625337726] 5487.038881569042
678 "SP00033" "T0904000946" 18923 "S090400029900100" "山崎街道入口" [36.55965167898822,139.89768625337726] 6046.715931398846
678 "SP00033" "T0904000946" 18924 "S090400030000100" "鎧川" [36.55965167898822,139.89768625337726] 6536.593540335829
678 "SP00033" "T0904000946" 18925 "S090400030100100" "JA城山支所" [36.55965167898822,139.89768625337726] 6944.36565362641
678 "SP00033" "T0904000946" 18926 "S090400030200100" "城山地区市民センター" [36.55965167898822,139.89768625337726] 7210.9527065391885
678 "SP00033" "T0904000946" 18927 "S090400030300100" "大谷橋" [36.55965167898822,139.89768625337726] 7633.7311271110475
678 "SP00033" "T0904000946" 18928 "S090400030400100" "漆久保" [36.55965167898822,139.89768625337726] 7959.029340979048
678 "SP00033" "T0904000946" 18929 "S090400030500100" "城山中央小学校前" [36.55965167898822,139.89768625337726] 8256.00682075101
678 "SP00033" "T0904000946" 18930 "S090400030600100" "新里街道口" [36.55965167898822,139.89768625337726] 8810.641017254718
678 "SP00033" "T0904000946" 18931 "S090400030700100" "田野町" [36.55965167898822,139.89768625337726] 9294.688862198187
678 "SP00033" "T0904000946" 18932 "S090400030800100" "森林公園入口" [36.55965167898822,139.89768625337726] 9531.76995550808
678 "SP00033" "T0904000946" 18933 "S090400030900100" "栃窪寺前" [36.55965167898822,139.89768625337726] 9714.799669274053
678 "SP00033" "T0904000946" 18934 "S090400031000100" "栃窪堀の内" [36.55965167898822,139.89768625337726] 9950.758321749357
678 "SP00033" "T0904000946" 18935 "S090400031100100" "木喰堂" [36.55965167898822,139.89768625337726] 10314.608096182363
678 "SP00033" "T0904000946" 18936 "S090400031200100" "栃窪十文字" [36.55965167898822,139.89768625337726] 10646.92497975771
678 "SP00033" "T0904000946" 18937 "S090400031500100" "栃窪沼" [36.55965167898822,139.89768625337726] 11230.183830006628
678 "SP00033" "T0904000946" 18938 "S090400031600100" "鹿沼東高校前" [36.55965167898822,139.89768625337726] 11606.22381970981
678 "SP00033" "T0904000946" 18939 "S090400031700100" "菊沢東小学校前" [36.55965167898822,139.89768625337726] 11783.50658696904
678 "SP00033" "T0904000946" 18940 "S090400031800100" "仁神堂町" [36.55965167898822,139.89768625337726] 12011.643056436653
678 "SP00033" "T0904000946" 18941 "S090400031900100" "下武子町東" [36.55965167898822,139.89768625337726] 12173.030176414668
678 "SP00033" "T0904000946" 18942 "S090400032000100" "武子十文字" [36.55965167898822,139.89768625337726] 12232.732288014186
678 "SP00033" "T0904000946" 18943 "S090400000100400" "鹿沼駅" [36.55965167898822,139.89768625337726] 12194.515442311702
678 "SP00033" "T0904000946" 18944 "S090400000200100" "府所" [36.55965167898822,139.89768625337726] 12600.037187949145
678 "SP00033" "T0904000946" 18945 "S090400000300100" "朝日町" [36.55965167898822,139.89768625337726] 12977.654385430333
678 "SP00033" "T0904000946" 18946 "S090400000400100" "上田町" [36.55965167898822,139.89768625337726] 13170.543191753924
678 "SP00033" "T0904000946" 18947 "S090400000500100" "天神町" [36.55965167898822,139.89768625337726] 13396.101043848083
678 "SP00033" "T0904000946" 18948 "S090400000600100" "久保町" [36.55965167898822,139.89768625337726] 13471.570786668213
678 "SP00033" "T0904000946" 18949 "S090400095300100" "仲町[鹿沼市]" [36.55965167898822,139.89768625337726] 13501.291976879267
678 "SP00033" "T0904000946" 18950 "S090400095400100" "寺町[鹿沼市]" [36.55965167898822,139.89768625337726] 13476.683022461546
678 "SP00033" "T0904000946" 18951 "S090400023300100" "鹿沼高校入口" [36.55965167898822,139.89768625337726] 13473.424776360342
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20260911" "20261001" "20270930"
future_calendar INFO 1

future_calendar

All services in the feed start in the future; no service covers today's date.

You can see more about this notice here.

minServiceStartDate (?) The earliest service start date across all services in the feed. currentDate (?) Today's date at validation time.
"2026-10-01" "2026-09-11"
future_feed INFO 1

future_feed

The feed covers the future only.

The minimum start_date in feed_info.txt is greater than today's date, indicating the feed covers the future only.

You can see more about this notice here.

feedStartDate (?) Feed start date. currentDate (?) Current date.
"20261001" "20260911"
service_window_outside_feed_period INFO 12

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).
"S000005" "2026-10-01" "2027-09-30" 0 1
"S000027" "2026-10-01" "2027-09-30" 0 1
"S000020" "2026-10-01" "2027-09-30" 0 1
"S000001" "2026-10-01" "2027-09-30" 0 1
"S000023" "2026-10-01" "2027-09-30" 0 1
"S000025" "2026-10-01" "2027-09-30" 0 1
"S000026" "2026-10-01" "2027-09-30" 0 1
"S000018" "2026-10-01" "2027-09-30" 0 1
"S000019" "2026-10-01" "2027-09-30" 0 1
"S000031" "2026-10-01" "2027-09-30" 0 1
"S000012" "2026-10-01" "2027-09-30" 0 1
"S000014" "2026-12-01" "2027-09-30" 0 1
trip_headsign_matches_intermediate_stop INFO 184

trip_headsign_matches_intermediate_stop

Trip headsign matches the name of an intermediate stop, not the last stop.

The trip_headsign matches the stop_name of a stop that is not the last stop of the trip. This may confuse passengers boarding after that stop, since the headsign suggests the vehicle is heading to a stop it has already passed.

You can see more about this notice here.

Only the first 50 of 184 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record in `trips.txt`. tripId (?) The id of the trip with the problematic headsign. tripHeadsign (?) The headsign value that matches an intermediate stop name. stopId1 (?) The id of the intermediate stop whose name matches the headsign. stopSequence (?) The stop_sequence value of the intermediate stop that matches the headsign. stopId2 (?) The id of the actual last stop of the trip.
523 "T0904000667" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
524 "T0904000668" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
525 "T0904000669" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
526 "T0904000670" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
527 "T0904000671" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
528 "T0904000672" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
529 "T0904000673" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
530 "T0904000674" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
531 "T0904000675" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
532 "T0904000676" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
533 "T0904000677" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
534 "T0904000678" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
535 "T0904000679" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
536 "T0904000680" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
537 "T0904000681" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
538 "T0904000682" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
539 "T0904000683" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
540 "T0904000684" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
541 "T0904000685" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
542 "T0904000686" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
543 "T0904000687" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
544 "T0904000688" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
545 "T0904000689" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
546 "T0904000690" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
547 "T0904000691" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
548 "T0904000692" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
549 "T0904000693" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
550 "T0904000694" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
551 "T0904000695" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
552 "T0904000696" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
553 "T0904000697" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
554 "T0904000698" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
555 "T0904000699" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
556 "T0904000700" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
557 "T0904000701" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
558 "T0904000702" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
559 "T0904000703" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
560 "T0904000704" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
561 "T0904000705" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
562 "T0904000706" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
563 "T0904000707" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
564 "T0904000708" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
565 "T0904000710" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
566 "T0904000711" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
567 "T0904000712" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
568 "T0904000713" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
569 "T0904000714" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
570 "T0904000715" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
571 "T0904000716" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
572 "T0904000717" "宇都宮駅西口" "S090400005200500" 0 "S090400005201801"
trip_with_shape_dist_traveled_but_no_shape_distances INFO 4396

trip_with_shape_dist_traveled_but_no_shape_distances

A trip has shape_dist_traveled values in stop_times.txt but the shape referenced by the trip's shape_id does not have shape_dist_traveled values on all of its points in shapes.txt.

When stop times define distance values but the shape does not carry matching distances on every point, consumers cannot use those distances to align stops to the shape geometry reliably. This inconsistency may cause incorrect routing or display behaviour.

Note: Only the first stop time carrying a shape_dist_traveled value is referenced in the notice; this is a representative row rather than an exhaustive list.

You can see more about this notice here.

Only the first 50 of 4396 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record in trips.txt. tripId (?) The trip_id of the faulty trip. shapeId (?) The shape_id referenced by the trip. stopTimeCsvRowNumber (?) The row number of the first stop_times.txt record for this trip that contains a shape_dist_traveled value. Provided as a representative location; other stop times for the same trip may also carry distance values.
30 "T0904000029" "SP00001" 114
4064 "T0904005718" "SP00242" 132333
4063 "T0904005716" "SP00242" 132289
26 "T0904000025" "SP00001" 98
979 "T0904001357" "SP00045" 28892
1995 "T0904002688" "SP00084" 62567
4062 "T0904005714" "SP00242" 132245
27 "T0904000026" "SP00001" 102
978 "T0904001356" "SP00045" 28858
1994 "T0904002687" "SP00084" 62548
28 "T0904000027" "SP00001" 106
981 "T0904001359" "SP00045" 28960
4060 "T0904005712" "SP00242" 132157
29 "T0904000028" "SP00001" 110
980 "T0904001358" "SP00045" 28926
1996 "T0904002689" "SP00084" 62586
4061 "T0904005713" "SP00242" 132201
22 "T0904000021" "SP00001" 82
975 "T0904001353" "SP00045" 28756
1991 "T0904002684" "SP00084" 62491
4058 "T0904005710" "SP00242" 132069
23 "T0904000022" "SP00001" 86
974 "T0904001352" "SP00045" 28722
1990 "T0904002683" "SP00084" 62472
4059 "T0904005711" "SP00242" 132113
24 "T0904000023" "SP00001" 90
977 "T0904001355" "SP00045" 28824
1993 "T0904002686" "SP00084" 62529
25 "T0904000024" "SP00001" 94
976 "T0904001354" "SP00045" 28790
1992 "T0904002685" "SP00084" 62510
982 "T0904001360" "SP00045" 28994
1998 "T0904002691" "SP00084" 62624
1997 "T0904002690" "SP00084" 62605
31 "T0904000030" "SP00002" 118
984 "T0904001362" "SP00045" 29062
2000 "T0904002693" "SP00084" 62662
32 "T0904000031" "SP00002" 121
983 "T0904001361" "SP00045" 29028
1999 "T0904002692" "SP00084" 62643
4057 "T0904005709" "SP00242" 132025
19 "T0904000018" "SP00001" 70
20 "T0904000019" "SP00001" 74
971 "T0904001349" "SP00045" 28620
4056 "T0904005706" "SP00241" 131981
15 "T0904000014" "SP00001" 54
4054 "T0904005703" "SP00241" 131893
16 "T0904000015" "SP00001" 58
1984 "T0904002676" "SP00083" 62350
4055 "T0904005704" "SP00241" 131937
unknown_column INFO 6

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
"trips.txt" "jp_trip_desc" 11
"trips.txt" "jp_trip_desc_symbol" 12
"trips.txt" "jp_office_id" 13
"routes.txt" "jp_parent_route_id" 10
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.
"pass_attributes.txt"
"pass_rules.txt"
"agency_jp.txt"