GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-13T02:10:14Z,
for the dataset file:///shared/toei.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
東京都交通局
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2025-12-12
Feed End Date:
2028-12-11

Files included

  1. agency.txt
  2. agency_jp.txt
  3. attributions.txt
  4. calendar.txt
  5. calendar_dates.txt
  6. fare_attributes.txt
  7. fare_rules.txt
  8. feed_info.txt
  9. office_jp.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: 161
  • Shapes: 787
  • Stops: 5372
  • Trips: 63508

Specification Compliance report

412 notices reported (0 errors, 403 warnings, 9 infos)

Notice Code Severity Total
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 44

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.

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"
mixed_case_recommended_field WARNING 314

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 314 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" "稲荷神社前(いなりじんじゃまえ（えどがわく）)" 316
"stops.txt" "stop_name" "エル・ソフィア前" 416
"stops.txt" "stop_name" "エル・ソフィア前" 417
"stops.txt" "stop_name" "エル・ソフィア前" 418
"stops.txt" "stop_name" "新木場駅前（構内）" 1874
"stops.txt" "stop_name" "新木場駅前（構内）" 1875
"stops.txt" "stop_name" "新木場駅前（構内）" 1876
"stops.txt" "stop_name" "新木場駅前（構内）" 1877
"stops.txt" "stop_name" "新木場駅前（構内）" 1878
"stops.txt" "stop_name" "新木場駅前（構内）" 1879
"stops.txt" "stop_name" "新木場駅前（明治通り）" 1880
"stops.txt" "stop_name" "新木場駅前（明治通り）" 1881
"stops.txt" "stop_name" "新宿一丁目(しんじゅくいっちょうめ)" 1927
"stops.txt" "stop_name" "千石一丁目(せんごくいっちょうめ（こうとうく）)" 2181
"stops.txt" "stop_name" "千石一丁目(せんごくいっちょうめ（ぶんきょうく）)" 2184
"stops.txt" "stop_name" "千石二丁目(せんごくにちょうめ（こうとうく）)" 2189
"stops.txt" "stop_name" "千石二丁目(せんごくにちょうめ（ぶんきょうく）)" 2192
"stops.txt" "stop_name" "楽水橋（品川車庫入口）" 2617
"stops.txt" "stop_name" "楽水橋（品川車庫入口）" 2618
"stops.txt" "stop_name" "楽水橋（品川車庫入口）" 2619
"stops.txt" "stop_name" "東京タワー（公園下）" 2663
"stops.txt" "stop_name" "東京タワー（公園下）" 2664
"stops.txt" "stop_name" "富岡一丁目(とみおかいっちょうめ)" 2744
"stops.txt" "stop_name" "中入谷(なかいりや（あだちく）)" 2867
"stops.txt" "stop_name" "中入谷(なかいりや（たいとうく）)" 2870
"stops.txt" "stop_name" "本町三丁目(ほんちょうさんちょうめ（なかのく）)" 2918
"stops.txt" "stop_name" "新宿一丁目(にいじゅくいっちょうめ)" 3002
"stops.txt" "stop_name" "稲荷神社前(いなりじんじゃまえ（おうめし）)" 3354
"stops.txt" "stop_name" "広尾駅前（広尾橋）" 3580
"stops.txt" "stop_name" "広尾駅前（広尾橋）" 3581
"stops.txt" "stop_name" "広尾駅前（広尾橋）" 3582
"stops.txt" "stop_name" "広尾駅前（広尾橋）" 3583
"stops.txt" "stop_name" "本町三丁目(ほんちょうさんちょうめ（ちゅうおうく）)" 3753
"stops.txt" "stop_name" "２号バース前" 4264
"stops.txt" "stop_name" "２号バース前" 4265
"stops.txt" "stop_name" "２号バース前" 4266
"stops.txt" "stop_name" "４号バース前" 4267
"stops.txt" "stop_name" "４号バース前" 4268
"stops.txt" "stop_name" "４号バース前" 4269
"stops.txt" "stop_name" "５号バース前" 4270
"stops.txt" "stop_name" "５号バース前" 4271
"stops.txt" "stop_name" "６号バース前" 4272
"stops.txt" "stop_name" "６号バース前" 4273
"stops.txt" "stop_name" "６号バース前" 4274
"stops.txt" "stop_name" "富岡一丁目(とみおかいっちょうめ（おうめし）)" 4525
"stops.txt" "stop_name" "３号バース前" 4655
"stops.txt" "stop_name" "３号バース前" 4656
"stops.txt" "stop_name" "池袋駅東口（⑩のりば）" 4967
"stops.txt" "stop_name" "池袋駅東口（⑩のりば）" 4968
"stops.txt" "stop_name" "放射１１号舎人" 5086
stop_too_far_from_shape WARNING 43

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.
58676 "72509-1" "72509-1-81-300-0811" 1135410 "1252-01" "晴海一丁目" [35.65841216068628,139.78661825411794] 175.5862350244001
5943 "01402-2" "01402-2-01-100-0711" 112922 "0605-11" "品川駅港南口" [35.628325883708655,139.74114333361996] 108.58759451750035
58053 "72501-2" "72501-2-81-300-0640" 1116666 "1252-01" "晴海一丁目" [35.6584122269932,139.7866184018076] 175.58714969772356
29421 "40408-1" "40408-1-49-100-0632" 544712 "1512-02" "向丘二丁目" [35.72185999999999,139.75499] 189.7673300981889
58872 "72511-1" "72511-1-81-300-0621" 1139859 "1252-01" "晴海一丁目" [35.65841216068628,139.78661825411794] 175.5862350244001
41017 "60203-1" "60203-1-65-391-0900" 784493 "0442-03" "錦糸町駅前" [35.681897,139.766029] 4628.473753410859
41017 "60203-1" "60203-1-65-391-0900" 784494 "0443-01" "錦糸堀" [35.681897,139.766029] 4662.5167338331075
41017 "60203-1" "60203-1-65-391-0900" 784495 "1533-01" "毛利二丁目" [35.681897,139.766029] 4609.503177545498
41017 "60203-1" "60203-1-65-391-0900" 784496 "0787-03" "住吉駅前" [35.681897,139.766029] 4573.706430237207
41017 "60203-1" "60203-1-65-391-0900" 784497 "0578-01" "猿江二丁目" [35.681897,139.766029] 4542.456043253296
41017 "60203-1" "60203-1-65-391-0900" 784498 "0192-04" "扇橋二丁目" [35.681897,139.766029] 4530.330169763154
41017 "60203-1" "60203-1-65-391-0900" 784499 "0824-01" "千田" [35.681897,139.766029] 4527.195418272702
41017 "60203-1" "60203-1-65-391-0900" 784500 "0809-01" "千石二丁目" [35.681897,139.766029] 4536.002790940597
41017 "60203-1" "60203-1-65-391-0900" 784501 "1027-03" "豊住橋" [35.681897,139.766029] 4602.019743197987
41017 "60203-1" "60203-1-65-391-0900" 784502 "0491-01" "江東区役所前" [35.681897,139.766029] 4669.340946737924
41017 "60203-1" "60203-1-65-391-0900" 784503 "0989-06" "東陽町駅前" [35.681897,139.766029] 4729.874130564002
41017 "60203-1" "60203-1-65-391-0900" 784504 "0987-01" "東陽操車所前" [35.681897,139.766029] 4511.805794660143
41017 "60203-1" "60203-1-65-391-0900" 784505 "0991-03" "東陽三丁目" [35.681897,139.766029] 4350.871604540562
41017 "60203-1" "60203-1-65-391-0900" 784506 "0425-04" "木場駅前" [35.681897,139.766029] 3919.8783045022883
41017 "60203-1" "60203-1-65-391-0900" 784507 "0426-01" "木場二丁目" [35.681897,139.766029] 3652.7830822489145
41017 "60203-1" "60203-1-65-391-0900" 784508 "1016-02" "富岡一丁目" [35.681897,139.766029] 3328.6673451117763
41017 "60203-1" "60203-1-65-391-0900" 784509 "1376-01" "不動尊前" [35.681897,139.766029] 3027.129477169634
41017 "60203-1" "60203-1-65-391-0900" 784510 "1544-07" "門前仲町" [35.681897,139.766029] 2738.844467246821
41061 "60203-2" "60203-2-65-391-0941" 785285 "1544-03" "門前仲町" [35.681897,139.766029] 2882.792233064303
41061 "60203-2" "60203-2-65-391-0941" 785286 "1376-02" "不動尊前" [35.681897,139.766029] 3103.4490457331744
41061 "60203-2" "60203-2-65-391-0941" 785287 "1016-01" "富岡一丁目" [35.681897,139.766029] 3329.476578636791
41061 "60203-2" "60203-2-65-391-0941" 785288 "0426-02" "木場二丁目" [35.681897,139.766029] 3650.2574807115852
41061 "60203-2" "60203-2-65-391-0941" 785289 "0425-05" "木場駅前" [35.681897,139.766029] 3785.1191293163465
41061 "60203-2" "60203-2-65-391-0941" 785290 "0991-04" "東陽三丁目" [35.681897,139.766029] 4232.640458857381
41061 "60203-2" "60203-2-65-391-0941" 785291 "0987-02" "東陽操車所前" [35.681897,139.766029] 4522.2347408992055
41061 "60203-2" "60203-2-65-391-0941" 785292 "0989-05" "東陽町駅前" [35.681897,139.766029] 4726.498964696602
41061 "60203-2" "60203-2-65-391-0941" 785293 "0491-02" "江東区役所前" [35.681897,139.766029] 4675.577312705201
41061 "60203-2" "60203-2-65-391-0941" 785294 "1027-02" "豊住橋" [35.681897,139.766029] 4569.632662170454
41061 "60203-2" "60203-2-65-391-0941" 785295 "0809-02" "千石二丁目" [35.681897,139.766029] 4516.677083928171
41061 "60203-2" "60203-2-65-391-0941" 785296 "0824-02" "千田" [35.681897,139.766029] 4508.9241244096165
41061 "60203-2" "60203-2-65-391-0941" 785297 "0192-02" "扇橋二丁目" [35.681897,139.766029] 4517.114953660797
41061 "60203-2" "60203-2-65-391-0941" 785298 "0578-02" "猿江二丁目" [35.681897,139.766029] 4526.901366664279
41061 "60203-2" "60203-2-65-391-0941" 785299 "0787-02" "住吉駅前" [35.681897,139.766029] 4554.847759579372
41061 "60203-2" "60203-2-65-391-0941" 785300 "1533-02" "毛利二丁目" [35.681897,139.766029] 4580.863121492131
41061 "60203-2" "60203-2-65-391-0941" 785301 "0442-14" "錦糸町駅前" [35.681897,139.766029] 4587.676229972559
27102 "40005-2" "40005-2-49-160-0630" 508625 "0066-01" "荒川土手操車所前" [35.76782,139.76232100000001] 135.5395954460005
58201 "72502-2" "72502-2-81-300-1916" 1122410 "1252-01" "晴海一丁目" [35.6584140200872,139.78662024372764] 175.50799852384404
62602 "73007-2" "73007-2-81-300-0900" 1225275 "1252-01" "晴海一丁目" [35.658382195671386,139.78655980722237] 175.6853468658263
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.
20334 "20006-3" "20006-3-33-100-1005" 325024 "1264-02" "東池袋一丁目" [35.7278439503163,139.71606847646478] 325023 "2604-01" "池袋サンシャインシティ" [35.728646749730956,139.72103156818608]
unknown_column INFO 7

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.
"attributions.txt" "is_data_source" 9
"stops.txt" "stop_access" 14
"routes.txt" "jp_parent_route_id" 10
"trips.txt" "jp_trip_desc" 11
"trips.txt" "jp_trip_desc_symbol" 12
"trips.txt" "jp_office_id" 13
"fare_attributes.txt" "ic_price" 3
unknown_file INFO 2

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"agency_jp.txt"
"office_jp.txt"