keiobus — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-23T22:47:54Z,
for the dataset file:///shared/keiobus_a49ca6b8.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
株式会社ナビタイムジャパン
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-01-26
Feed End Date:
2026-12-31

Files included


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

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 259
  • Shapes: 0
  • Stops: 2988
  • Trips: 30235

Specification Compliance report

135130 notices reported (0 errors, 132148 warnings, 2982 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 150

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 150 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 "01_02_0121_02_000022" 1
3 "01_02_0121_02_000022" 2
4 "01_02_0121_02_000022" 3
5 "01_02_0121_02_000022" 4
6 "01_02_0121_02_000022" 5
7 "01_02_0121_02_000022" 6
8 "01_02_0121_02_000022" 7
9 "01_02_0121_02_000022" 8
10 "01_02_0121_02_000022" 9
11 "01_02_0121_02_000022" 10
12 "01_02_0121_02_000022" 11
13 "01_02_0121_02_000022" 12
14 "01_02_0121_02_000022" 13
15 "01_02_0121_02_000022" 14
16 "01_03_0121_02_000022" 1
17 "01_03_0121_02_000022" 2
18 "01_03_0121_02_000022" 3
19 "01_03_0121_02_000022" 4
20 "01_03_0121_02_000022" 5
21 "01_03_0121_02_000022" 6
22 "01_03_0121_02_000022" 7
23 "01_03_0121_02_000022" 8
24 "01_03_0121_02_000022" 9
25 "01_03_0121_02_000022" 10
26 "01_03_0121_02_000022" 11
27 "01_03_0121_02_000022" 12
28 "01_03_0121_02_000022" 13
29 "01_03_0121_02_000022" 14
30 "01_01_0152_05_000041" 1
31 "01_01_0152_05_000041" 2
32 "01_01_0152_05_000041" 3
33 "01_01_0152_05_000041" 4
34 "01_01_0152_05_000041" 5
35 "01_01_0152_05_000041" 6
36 "01_01_0152_05_000041" 7
37 "01_01_0152_05_000041" 8
38 "01_01_0152_05_000041" 9
39 "01_01_0152_05_000041" 10
40 "01_01_0152_05_000041" 11
41 "01_01_0161_02_000041" 1
42 "01_01_0161_02_000041" 2
43 "01_01_0161_02_000041" 3
44 "01_01_0161_02_000041" 4
45 "01_01_0161_02_000041" 5
46 "01_01_0161_02_000041" 6
47 "01_01_0161_02_000041" 7
48 "01_01_0161_02_000041" 8
49 "01_01_0161_02_000041" 9
50 "01_01_0161_02_000041" 10
51 "01_01_0161_02_000041" 11
mixed_case_recommended_field WARNING 138

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 138 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" "一里塚(杉並区)" 118
"stops.txt" "stop_name" "一里塚(国分寺市)" 119
"stops.txt" "stop_name" "一里塚(国分寺市)" 120
"stops.txt" "stop_name" "大巻観音・館事務所" 244
"stops.txt" "stop_name" "大巻観音・館事務所" 245
"stops.txt" "stop_name" "落川(多摩市)" 296
"stops.txt" "stop_name" "落川(多摩市)" 297
"stops.txt" "stop_name" "落川(日野市)" 298
"stops.txt" "stop_name" "落川(日野市)" 299
"stops.txt" "stop_name" "警察学校(調布市)" 574
"stops.txt" "stop_name" "警察学校(小平市)" 575
"stops.txt" "stop_name" "警察学校(小平市)" 576
"stops.txt" "stop_name" "公園前(八王子市)" 601
"stops.txt" "stop_name" "公園前(八王子市)" 602
"stops.txt" "stop_name" "公園前(調布市)" 603
"stops.txt" "stop_name" "公園前(調布市)" 604
"stops.txt" "stop_name" "公会堂前(大沢)" 605
"stops.txt" "stop_name" "公会堂前(大沢)" 606
"stops.txt" "stop_name" "公会堂前(日新町)" 607
"stops.txt" "stop_name" "公会堂前(日新町)" 608
"stops.txt" "stop_name" "公会堂前(日新町)" 609
"stops.txt" "stop_name" "坂上(八王子市)" 738
"stops.txt" "stop_name" "坂上(八王子市)" 739
"stops.txt" "stop_name" "坂下(多摩市)" 747
"stops.txt" "stop_name" "坂下(多摩市)" 748
"stops.txt" "stop_name" "坂下(町田市)" 749
"stops.txt" "stop_name" "坂下(町田市)" 750
"stops.txt" "stop_name" "参宮橋駅(駒テラス西参道前)" 795
"stops.txt" "stop_name" "参宮橋駅(駒テラス西参道前)" 796
"stops.txt" "stop_name" "山谷(稲城市)" 814
"stops.txt" "stop_name" "山谷(稲城市)" 815
"stops.txt" "stop_name" "浄水場前(多摩)" 945
"stops.txt" "stop_name" "浄水場前(多摩)" 946
"stops.txt" "stop_name" "消防署前(多摩)" 949
"stops.txt" "stop_name" "消防署前(多摩)" 950
"stops.txt" "stop_name" "消防署前(日野)" 951
"stops.txt" "stop_name" "消防署前(日野)" 952
"stops.txt" "stop_name" "新宿南口交通ターミナル(バスタ新宿)" 1009
"stops.txt" "stop_name" "新宿センタービル・新宿野村ビル" 1016
"stops.txt" "stop_name" "新宿センタービル・新宿野村ビル" 1017
"stops.txt" "stop_name" "新宿ワシントンホテルANNEX(別館)" 1019
"stops.txt" "stop_name" "諏訪神社(調布市)" 1084
"stops.txt" "stop_name" "諏訪神社(調布市)" 1085
"stops.txt" "stop_name" "西部公民館・児童館前" 1106
"stops.txt" "stop_name" "総合体育館(多摩市)" 1152
"stops.txt" "stop_name" "総合体育館(多摩市)" 1153
"stops.txt" "stop_name" "総合体育館(稲城市)" 1154
"stops.txt" "stop_name" "総合体育館(稲城市)" 1155
"stops.txt" "stop_name" "第一小学校(府中市)" 1168
"stops.txt" "stop_name" "第一小学校(府中市)" 1169
non_ascii_or_non_printable_char WARNING 31843

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 31843 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" "休日_03_01"
"calendar.txt" 3 "service_id" "休日_03_03"
"calendar.txt" 4 "service_id" "休日_03_04"
"calendar.txt" 5 "service_id" "休日_03_05"
"calendar.txt" 6 "service_id" "休日_03_06"
"calendar.txt" 7 "service_id" "休日_03_07"
"calendar.txt" 8 "service_id" "休日_03_08"
"calendar.txt" 9 "service_id" "休日_03_09"
"calendar.txt" 10 "service_id" "休日_03_10"
"calendar.txt" 11 "service_id" "休日_03_11"
"calendar.txt" 12 "service_id" "休日_03_13"
"calendar.txt" 13 "service_id" "土曜_02_01"
"calendar.txt" 14 "service_id" "土曜_02_03"
"calendar.txt" 15 "service_id" "土曜_02_04"
"calendar.txt" 16 "service_id" "土曜_02_05"
"calendar.txt" 17 "service_id" "土曜_02_06"
"calendar.txt" 18 "service_id" "土曜_02_07"
"calendar.txt" 19 "service_id" "土曜_02_08"
"calendar.txt" 20 "service_id" "土曜_02_09"
"calendar.txt" 21 "service_id" "土曜_02_10"
"calendar.txt" 22 "service_id" "土曜_02_11"
"calendar.txt" 23 "service_id" "土曜_02_13"
"calendar.txt" 24 "service_id" "平日_01_01"
"calendar.txt" 25 "service_id" "平日_01_03"
"calendar.txt" 26 "service_id" "平日_01_04"
"calendar.txt" 27 "service_id" "平日_01_05"
"calendar.txt" 28 "service_id" "平日_01_06"
"calendar.txt" 29 "service_id" "平日_01_07"
"calendar.txt" 30 "service_id" "平日_01_08"
"calendar.txt" 31 "service_id" "平日_01_09"
"calendar.txt" 32 "service_id" "平日_01_10"
"calendar.txt" 33 "service_id" "平日_01_11"
"calendar.txt" 34 "service_id" "平日_01_13"
"calendar_dates.txt" 2 "service_id" "休日_03_01"
"calendar_dates.txt" 3 "service_id" "休日_03_01"
"calendar_dates.txt" 4 "service_id" "休日_03_01"
"calendar_dates.txt" 5 "service_id" "休日_03_01"
"calendar_dates.txt" 6 "service_id" "休日_03_01"
"calendar_dates.txt" 7 "service_id" "休日_03_01"
"calendar_dates.txt" 8 "service_id" "休日_03_01"
"calendar_dates.txt" 9 "service_id" "休日_03_01"
"calendar_dates.txt" 10 "service_id" "休日_03_01"
"calendar_dates.txt" 11 "service_id" "休日_03_01"
"calendar_dates.txt" 12 "service_id" "休日_03_01"
"calendar_dates.txt" 13 "service_id" "休日_03_01"
"calendar_dates.txt" 14 "service_id" "休日_03_01"
"calendar_dates.txt" 15 "service_id" "休日_03_01"
"calendar_dates.txt" 16 "service_id" "休日_03_01"
"calendar_dates.txt" 17 "service_id" "休日_03_01"
"calendar_dates.txt" 18 "service_id" "休日_03_01"
route_short_name_too_long WARNING 16

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`.
"363" 41 "みたかシティバス 新川・中原ルート"
"365" 42 "調布市ミニバス 調43 西路線"
"366" 43 "調布市ミニバス 調37 北路線"
"487" 67 "ちゅうバス 四谷六丁目ルート"
"931" 131 "調布市ミニバス 調36 北路線"
"1170" 145 "多摩市ミニバス 南北線(桜ヶ丘・和田ルート)"
"1171" 146 "多摩市ミニバス 南北線(愛宕ルート)"
"1302" 150 "ちゅうバス よつや苑西ルート"
"1826" 191 "日野市ミニバス O 落川路線"
"1828" 192 "日野市ミニバス H 平山循環路線"
"1829" 193 "日野市ミニバス A 旭が丘循環路線"
"2407" 226 "日野市ミニバス S 市内路線"
"2453" 235 "CoCoバス 貫井前原循環"
"2622" 249 "日野市ミニバス W 三沢台路線"
"2625" 250 "日野市ミニバス D 南平路線"
"2628" 251 "日野市ミニバス K 川辺堀之内路線"
platform_without_parent_station INFO 2976

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 2976 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.
2 "0001_01" "あいクリニック"
3 "0001_02" "あいクリニック"
4 "0002_01" "青渭神社前"
5 "0002_02" "青渭神社前"
6 "0003_01" "青木葉公園"
7 "0003_02" "青木葉公園"
8 "0004_01" "赤石公園"
9 "0004_02" "赤石公園"
10 "0005_01" "秋葉神社"
11 "0005_02" "秋葉神社"
14 "0008_01" "阿佐ヶ谷住宅東"
15 "0008_02" "阿佐ヶ谷住宅東"
16 "0009_01" "阿佐ヶ谷住宅南"
17 "0009_02" "阿佐ヶ谷住宅南"
18 "0010_01" "阿佐谷南一丁目"
19 "0010_02" "阿佐谷南一丁目"
20 "0011_01" "浅川新地"
21 "0011_02" "浅川新地"
22 "0012_01" "浅川原"
23 "0012_02" "浅川原"
24 "0013_01" "旭が丘"
25 "0013_02" "旭が丘"
26 "0013_03" "旭が丘"
27 "0014_01" "旭が丘五丁目"
28 "0015_01" "旭が丘三丁目"
29 "0016_01" "旭が丘小学校"
30 "0017_00" "旭が丘中央公園"
31 "0018_01" "旭が丘西公園"
32 "0019_01" "旭が丘四丁目"
33 "0020_01" "旭が丘六丁目"
34 "0021_01" "旭が丘六丁目西"
35 "0022_01" "旭小学校"
36 "0022_02" "旭小学校"
37 "0023_01" "朝日新聞社前"
38 "0023_02" "朝日新聞社前"
39 "0023_03" "朝日新聞社前"
40 "0024_01" "朝日町"
41 "0024_02" "朝日町"
42 "0025_01" "旭通り坂下"
43 "0025_02" "旭通り坂下"
44 "0026_01" "旭通り中央"
45 "0026_02" "旭通り中央"
46 "0027_01" "旭農協前"
47 "0027_02" "旭農協前"
48 "0028_01" "旭橋"
49 "0030_01" "味の素スタジアム入口"
50 "0031_01" "味の素スタジアム南"
51 "0032_01" "愛宕神社"
52 "0032_02" "愛宕神社"
53 "0033_01" "愛宕団地"
unknown_column INFO 5

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.
"trips.txt" "jp_trip_desc" 11
"trips.txt" "jp_trip_desc_symbol" 12
"trips.txt" "jp_office_id" 13
"trips.txt" "jp_pattern_id" 14
"routes.txt" "jp_parent_route_id" 11
unknown_file INFO 1

unknown_file

A file is unknown.

You can see more about this notice here.

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