kyotambacho — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-09-11T19:17:17Z,
for the dataset file:///shared/kyotambacho_43fd8286.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:
2026-09-01
Feed End Date:
2027-02-28

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

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 64
  • Shapes: 0
  • Stops: 207
  • Trips: 113

Specification Compliance report

2245 notices reported (3 errors, 2233 warnings, 9 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 47

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 "R262501475030000" 3 "R262501475010000" "" "高原下山線:役場~役場" 3 "4000020264075"
2 "R262501475030000" 4 "R262501475000000" "" "高原下山線:役場~役場" 3 "4000020264075"
2 "R262501475030000" 5 "R262501475020000" "" "高原下山線:役場~役場" 3 "4000020264075"
6 "R262501575010000" 7 "R262501575000000" "" "才原大簾線" 3 "4000020264075"
6 "R262501575010000" 8 "R262501575020000" "" "才原大簾線" 3 "4000020264075"
6 "R262501575010000" 9 "R262501575030000" "" "才原大簾線" 3 "4000020264075"
6 "R262501575010000" 10 "R262501575040000" "" "才原大簾線" 3 "4000020264075"
6 "R262501575010000" 11 "R262501575050000" "" "才原大簾線" 3 "4000020264075"
6 "R262501575010000" 12 "R262501575060000" "" "才原大簾線" 3 "4000020264075"
6 "R262501575010000" 13 "R262501575070000" "" "才原大簾線" 3 "4000020264075"
14 "R262500007020000" 15 "R262500007000000" "" "質美線" 3 "4000020264075"
14 "R262500007020000" 16 "R262500007010000" "" "質美線" 3 "4000020264075"
14 "R262500007020000" 17 "R262500007050000" "" "質美線" 3 "4000020264075"
14 "R262500007020000" 18 "R262500007030000" "" "質美線" 3 "4000020264075"
14 "R262500007020000" 19 "R262500007040000" "" "質美線" 3 "4000020264075"
20 "R262500008000000" 21 "R262500008010000" "" "小野鎌谷線" 3 "4000020264075"
20 "R262500008000000" 22 "R262500008040000" "" "小野鎌谷線" 3 "4000020264075"
20 "R262500008000000" 23 "R262500008060000" "" "小野鎌谷線" 3 "4000020264075"
25 "R262501576000000" 26 "R262501576010000" "" "上乙見線" 3 "4000020264075"
25 "R262501576000000" 27 "R262501576020000" "" "上乙見線" 3 "4000020264075"
25 "R262501576000000" 28 "R262501576030000" "" "上乙見線" 3 "4000020264075"
25 "R262501576000000" 29 "R262501576040000" "" "上乙見線" 3 "4000020264075"
30 "R262501476000000" 31 "R262501476010000" "" "丹波日吉線" 3 "4000020264075"
32 "R262500012000000" 33 "R262500012010000" "" "丹波桧山線" 3 "4000020264075"
32 "R262500012000000" 34 "R262500012020000" "" "丹波桧山線" 3 "4000020264075"
32 "R262500012000000" 35 "R262500012030000" "" "丹波桧山線" 3 "4000020264075"
32 "R262500012000000" 36 "R262500012040000" "" "丹波桧山線" 3 "4000020264075"
32 "R262500012000000" 37 "R262500012050000" "" "丹波桧山線" 3 "4000020264075"
38 "R262500014020000" 39 "R262500014000000" "" "丹波和知線" 3 "4000020264075"
38 "R262500014020000" 40 "R262500014010000" "" "丹波和知線" 3 "4000020264075"
38 "R262500014020000" 41 "R262500014030000" "" "丹波和知線" 3 "4000020264075"
38 "R262500014020000" 42 "R262500014080000" "" "丹波和知線" 3 "4000020264075"
38 "R262500014020000" 43 "R262500014040000" "" "丹波和知線" 3 "4000020264075"
38 "R262500014020000" 44 "R262500014050000" "" "丹波和知線" 3 "4000020264075"
38 "R262500014020000" 45 "R262500014060000" "" "丹波和知線" 3 "4000020264075"
38 "R262500014020000" 46 "R262500014070000" "" "丹波和知線" 3 "4000020264075"
47 "R262500015010000" 48 "R262500015000000" "" "竹野線" 3 "4000020264075"
47 "R262500015010000" 49 "R262500015020000" "" "竹野線" 3 "4000020264075"
47 "R262500015010000" 50 "R262500015030000" "" "竹野線" 3 "4000020264075"
53 "R262501952000000" 54 "R262501952010000" "" "猪鼻戸津川線:桧山~不動の滝" 3 "4000020264075"
55 "R262500017000000" 56 "R262500017010000" "" "長瀬線:升谷橋経由" 3 "4000020264075"
57 "R262500018000000" 58 "R262500018010000" "" "長瀬線:大倉文化センター前経由" 3 "4000020264075"
59 "R262500020000000" 60 "R262500020010000" "" "桧山和知線" 3 "4000020264075"
61 "R262500021010000" 62 "R262500021000000" "" "仏主線" 3 "4000020264075"
61 "R262500021010000" 63 "R262500021020000" "" "仏主線" 3 "4000020264075"
61 "R262500021010000" 64 "R262500021030000" "" "仏主線" 3 "4000020264075"
61 "R262500021010000" 65 "R262500021040000" "" "仏主線" 3 "4000020264075"
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 1

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"
missing_timepoint_value WARNING 2171

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 2171 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 "T2625000001" 0
3 "T2625000001" 1
4 "T2625000001" 2
5 "T2625000001" 3
6 "T2625000001" 4
7 "T2625000001" 5
8 "T2625000001" 6
9 "T2625000001" 7
10 "T2625000001" 8
11 "T2625000001" 9
12 "T2625000001" 10
13 "T2625000001" 11
14 "T2625000001" 12
15 "T2625000001" 13
16 "T2625000001" 14
17 "T2625000002" 0
18 "T2625000002" 1
19 "T2625000002" 2
20 "T2625000002" 3
21 "T2625000002" 4
22 "T2625000002" 5
23 "T2625000002" 6
24 "T2625000002" 7
25 "T2625000002" 8
26 "T2625000002" 9
27 "T2625000002" 10
28 "T2625000002" 11
29 "T2625000002" 12
30 "T2625000002" 13
31 "T2625000002" 14
32 "T2625000002" 15
33 "T2625000002" 16
34 "T2625000002" 17
35 "T2625000002" 18
36 "T2625000002" 19
37 "T2625000002" 20
38 "T2625000002" 21
39 "T2625000002" 22
40 "T2625000002" 23
41 "T2625000002" 24
42 "T2625000002" 25
43 "T2625000002" 26
44 "T2625000002" 27
45 "T2625000002" 28
46 "T2625000002" 29
47 "T2625000002" 30
48 "T2625000002" 31
49 "T2625000002" 32
50 "T2625000002" 33
51 "T2625000002" 34
mixed_case_recommended_field WARNING 13

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.

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" "高原下山線:役場~役場" 2
"routes.txt" "route_long_name" "高原下山線:役場~役場" 3
"routes.txt" "route_long_name" "高原下山線:役場~役場" 4
"routes.txt" "route_long_name" "高原下山線:役場~役場" 5
"routes.txt" "route_long_name" "小野鎌谷線:桧山~桧山" 24
"routes.txt" "route_long_name" "猪鼻戸津川線:深山口~桧山" 51
"routes.txt" "route_long_name" "猪鼻戸津川線:桧山~桧山" 52
"routes.txt" "route_long_name" "猪鼻戸津川線:桧山~不動の滝" 53
"routes.txt" "route_long_name" "猪鼻戸津川線:桧山~不動の滝" 54
"routes.txt" "route_long_name" "長瀬線:升谷橋経由" 55
"routes.txt" "route_long_name" "長瀬線:升谷橋経由" 56
"routes.txt" "route_long_name" "長瀬線:大倉文化センター前経由" 57
"routes.txt" "route_long_name" "長瀬線:大倉文化センター前経由" 58
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"