GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T19:21:36Z,
for the dataset file:///shared/yutetsu-bus.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
Publisher URL:
https://www.jorudan.co.jp
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2025-11-01
Feed End Date:
2026-04-30

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: 3
  • Shapes: 0
  • Stops: 290
  • Trips: 53

Specification Compliance report

1672 notices reported (0 errors, 1655 warnings, 17 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 70

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 70 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 1517

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 1517 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 "T0181000001" 0
3 "T0181000001" 1
7 "T0181000001" 5
10 "T0181000001" 8
12 "T0181000001" 10
16 "T0181000001" 14
17 "T0181000001" 15
18 "T0181000001" 16
19 "T0181000001" 17
22 "T0181000001" 20
25 "T0181000001" 23
31 "T0181000001" 29
33 "T0181000001" 31
34 "T0181000001" 32
36 "T0181000001" 34
40 "T0181000001" 38
50 "T0181000001" 48
52 "T0181000001" 50
56 "T0181000001" 54
65 "T0181000001" 63
66 "T0181000002" 0
67 "T0181000002" 1
71 "T0181000002" 5
74 "T0181000002" 8
76 "T0181000002" 10
80 "T0181000002" 14
81 "T0181000002" 15
82 "T0181000002" 16
83 "T0181000002" 17
86 "T0181000002" 20
89 "T0181000002" 23
95 "T0181000002" 29
97 "T0181000002" 31
98 "T0181000002" 32
100 "T0181000002" 34
104 "T0181000002" 38
105 "T0181000003" 0
109 "T0181000003" 4
111 "T0181000003" 6
112 "T0181000003" 7
114 "T0181000003" 9
120 "T0181000003" 15
123 "T0181000003" 18
126 "T0181000003" 21
127 "T0181000003" 22
128 "T0181000003" 23
129 "T0181000003" 24
133 "T0181000003" 28
135 "T0181000003" 30
138 "T0181000003" 33
mixed_case_recommended_field WARNING 67

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 67 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" "南清水沢４丁目" 4
"stops.txt" "stop_name" "南清水沢４丁目" 5
"stops.txt" "stop_name" "清水沢３丁目" 17
"stops.txt" "stop_name" "清水沢３丁目" 18
"stops.txt" "stop_name" "清水沢２丁目" 19
"stops.txt" "stop_name" "清水沢２丁目" 20
"stops.txt" "stop_name" "江別２条２丁目" 55
"stops.txt" "stop_name" "江別２条２丁目" 56
"stops.txt" "stop_name" "５丁目通" 69
"stops.txt" "stop_name" "５丁目通" 70
"stops.txt" "stop_name" "北翔大学・札幌学院大前" 102
"stops.txt" "stop_name" "北翔大学・札幌学院大前" 103
"stops.txt" "stop_name" "北翔大学・札幌学院大前" 104
"stops.txt" "stop_name" "厚別東４条４丁目" 109
"stops.txt" "stop_name" "厚別東４条４丁目" 110
"stops.txt" "stop_name" "厚別東４条２丁目" 111
"stops.txt" "stop_name" "厚別東４条２丁目" 112
"stops.txt" "stop_name" "厚別中央２条６丁目" 113
"stops.txt" "stop_name" "厚別中央２条６丁目" 114
"stops.txt" "stop_name" "白石本通１６丁目" 127
"stops.txt" "stop_name" "白石本通１６丁目" 128
"stops.txt" "stop_name" "白石本通１０丁目" 131
"stops.txt" "stop_name" "白石本通１０丁目" 132
"stops.txt" "stop_name" "白石本通８丁目" 133
"stops.txt" "stop_name" "白石本通８丁目" 134
"stops.txt" "stop_name" "白石本通５丁目" 135
"stops.txt" "stop_name" "白石本通５丁目" 136
"stops.txt" "stop_name" "白石本通２丁目" 137
"stops.txt" "stop_name" "白石本通２丁目" 138
"stops.txt" "stop_name" "中央１条６丁目" 139
"stops.txt" "stop_name" "中央１条６丁目" 140
"stops.txt" "stop_name" "中央１条３丁目" 141
"stops.txt" "stop_name" "中央１条３丁目" 142
"stops.txt" "stop_name" "中央１条１丁目" 143
"stops.txt" "stop_name" "中央１条１丁目" 144
"stops.txt" "stop_name" "菊水９条３丁目" 145
"stops.txt" "stop_name" "菊水９条３丁目" 146
"stops.txt" "stop_name" "菊水９条１丁目" 149
"stops.txt" "stop_name" "菊水９条１丁目" 150
"stops.txt" "stop_name" "北１条東１０丁目" 153
"stops.txt" "stop_name" "北１条東１０丁目" 154
"stops.txt" "stop_name" "北１条東６丁目" 155
"stops.txt" "stop_name" "北１条東６丁目" 156
"stops.txt" "stop_name" "北１条東２丁目" 159
"stops.txt" "stop_name" "北１条東２丁目" 160
"stops.txt" "stop_name" "若葉１丁目" 166
"stops.txt" "stop_name" "若葉１丁目" 167
"stops.txt" "stop_name" "若葉５丁目" 168
"stops.txt" "stop_name" "若葉５丁目" 169
"stops.txt" "stop_name" "西町６丁目" 203
platform_without_parent_station INFO 10

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.

csvRowNumber (?) Row number of the faulty record. stopId (?) The id of the faulty record. stopName (?) The stop name of the faulty record.
33 "S018100002100100" "夕鉄本社ターミナル"
34 "S018100002100200" "夕鉄本社ターミナル"
43 "S018100004200100" "新さっぽろ駅前"
73 "S018100006000100" "野幌バスターミナル"
74 "S018100006000200" "野幌バスターミナル"
85 "S018100006600100" "野幌駅南口"
193 "S018100012200100" "南幌ビューロー"
194 "S018100012200200" "南幌ビューロー"
282 "S018100269900100" "りすた"
283 "S018100269900200" "りすた"
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" 11
"trips.txt" "jp_trip_desc_symbol" 12
"trips.txt" "jp_office_id" 13
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.
"agency_jp.txt"
"pass_attributes.txt"
"pass_rules.txt"