GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T22:50:45Z,
for the dataset file:///shared/kounan-tetsudou.zip. No country code was provided.

Notice Code

Severity

Total

duplicate_route_name

WARNING

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	"10"	3	"20"	""	"弘南線（弘前行き）"	2	"8420001010056"
4	"30"	5	"40"	""	"弘南線（黒石行き）"	2	"8420001010056"

expired_calendar

WARNING

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record.	serviceId (?) The service id of the faulty record.
5	"毎日（12～3月以外）"

missing_feed_contact_email_and_url

WARNING

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

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"

missing_timepoint_value

WARNING

1314

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 1314 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	"10_毎日_0550_10"	1
3	"10_毎日_0550_10"	2
4	"10_毎日_0550_10"	3
5	"10_毎日_0550_10"	4
6	"10_毎日_0550_10"	5
7	"10_毎日_0550_10"	6
8	"10_毎日_0550_10"	7
9	"10_毎日_0550_10"	8
10	"10_毎日_0550_10"	9
11	"10_毎日_0550_10"	10
12	"10_毎日_0550_10"	11
13	"10_毎日_0550_10"	12
14	"10_毎日_0620_10"	1
15	"10_毎日_0620_10"	2
16	"10_毎日_0620_10"	3
17	"10_毎日_0620_10"	4
18	"10_毎日_0620_10"	5
19	"10_毎日_0620_10"	6
20	"10_毎日_0620_10"	7
21	"10_毎日_0620_10"	8
22	"10_毎日_0620_10"	9
23	"10_毎日_0620_10"	10
24	"10_毎日_0620_10"	11
25	"10_毎日_0620_10"	12
26	"10_毎日_0650_10"	1
27	"10_毎日_0650_10"	2
28	"10_毎日_0650_10"	3
29	"10_毎日_0650_10"	4
30	"10_毎日_0650_10"	5
31	"10_毎日_0650_10"	6
32	"10_毎日_0650_10"	7
33	"10_毎日_0650_10"	8
34	"10_毎日_0650_10"	9
35	"10_毎日_0650_10"	10
36	"10_毎日_0650_10"	11
37	"10_毎日_0650_10"	12
38	"10_毎日_0720_10"	1
39	"10_毎日_0720_10"	2
40	"10_毎日_0720_10"	3
41	"10_毎日_0720_10"	4
42	"10_毎日_0720_10"	5
43	"10_毎日_0720_10"	6
44	"10_毎日_0720_10"	7
45	"10_毎日_0720_10"	8
46	"10_毎日_0720_10"	9
47	"10_毎日_0720_10"	10
48	"10_毎日_0720_10"	11
49	"10_毎日_0720_10"	12
50	"10_毎日_0750_10"	1
51	"10_毎日_0750_10"	2

mixed_case_recommended_field

WARNING

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"	"弘南線（弘前行き）"	2
"routes.txt"	"route_long_name"	"弘南線（弘前行き）"	3
"routes.txt"	"route_long_name"	"弘南線（黒石行き）"	4
"routes.txt"	"route_long_name"	"弘南線（黒石行き）"	5
"routes.txt"	"route_long_name"	"大鰐線（大鰐行き）"	6
"routes.txt"	"route_long_name"	"大鰐線（中央弘前行き）"	7

non_ascii_or_non_printable_char

WARNING

1847

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 1847 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"	"土日祝"
"calendar.txt"	3	"service_id"	"平日"
"calendar.txt"	4	"service_id"	"毎日"
"calendar.txt"	5	"service_id"	"毎日（12～3月以外）"
"calendar.txt"	6	"service_id"	"毎日（12～3月）"
"calendar_dates.txt"	2	"service_id"	"土日祝"
"calendar_dates.txt"	3	"service_id"	"土日祝"
"calendar_dates.txt"	4	"service_id"	"土日祝"
"calendar_dates.txt"	5	"service_id"	"土日祝"
"calendar_dates.txt"	6	"service_id"	"土日祝"
"calendar_dates.txt"	7	"service_id"	"土日祝"
"calendar_dates.txt"	8	"service_id"	"土日祝"
"calendar_dates.txt"	9	"service_id"	"土日祝"
"calendar_dates.txt"	10	"service_id"	"土日祝"
"calendar_dates.txt"	11	"service_id"	"土日祝"
"calendar_dates.txt"	12	"service_id"	"土日祝"
"calendar_dates.txt"	13	"service_id"	"土日祝"
"calendar_dates.txt"	14	"service_id"	"土日祝"
"calendar_dates.txt"	15	"service_id"	"土日祝"
"calendar_dates.txt"	16	"service_id"	"土日祝"
"calendar_dates.txt"	17	"service_id"	"平日"
"calendar_dates.txt"	18	"service_id"	"平日"
"calendar_dates.txt"	19	"service_id"	"平日"
"calendar_dates.txt"	20	"service_id"	"平日"
"calendar_dates.txt"	21	"service_id"	"平日"
"calendar_dates.txt"	22	"service_id"	"平日"
"calendar_dates.txt"	23	"service_id"	"平日"
"calendar_dates.txt"	24	"service_id"	"平日"
"calendar_dates.txt"	25	"service_id"	"平日"
"calendar_dates.txt"	26	"service_id"	"平日"
"calendar_dates.txt"	27	"service_id"	"平日"
"calendar_dates.txt"	28	"service_id"	"平日"
"calendar_dates.txt"	29	"service_id"	"平日"
"calendar_dates.txt"	30	"service_id"	"平日"
"calendar_dates.txt"	31	"service_id"	"平日"
"calendar_dates.txt"	32	"service_id"	"毎日（12～3月以外）"
"calendar_dates.txt"	33	"service_id"	"毎日（12～3月以外）"
"calendar_dates.txt"	34	"service_id"	"毎日（12～3月以外）"
"calendar_dates.txt"	35	"service_id"	"毎日（12～3月以外）"
"calendar_dates.txt"	36	"service_id"	"毎日（12～3月以外）"
"calendar_dates.txt"	37	"service_id"	"毎日（12～3月以外）"
"calendar_dates.txt"	38	"service_id"	"毎日（12～3月以外）"
"calendar_dates.txt"	39	"service_id"	"毎日（12～3月以外）"
"calendar_dates.txt"	40	"service_id"	"毎日（12～3月以外）"
"calendar_dates.txt"	41	"service_id"	"毎日（12～3月以外）"
"calendar_dates.txt"	42	"service_id"	"毎日（12～3月以外）"
"calendar_dates.txt"	43	"service_id"	"毎日（12～3月以外）"
"calendar_dates.txt"	44	"service_id"	"毎日（12～3月以外）"
"calendar_dates.txt"	45	"service_id"	"毎日（12～3月以外）"
"calendar_dates.txt"	46	"service_id"	"毎日（12～3月以外）"

unknown_column

INFO

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
"trips.txt"	"jp_pattern_id"	14

unknown_file

INFO

unknown_file

A file is unknown.

You can see more about this notice here.

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

GTFS Schedule Validation Report

Summary

Agencies included

Feed Info

Files included

Counts

GTFS Features included (?) GTFS features provide a standardized vocabulary to define and describe features that are officially adopted in GTFS.

Specification Compliance report

3193 notices reported (0 errors, 3187 warnings, 6 infos)

duplicate_route_name

expired_calendar

missing_feed_contact_email_and_url

missing_recommended_field

missing_timepoint_value

mixed_case_recommended_field

non_ascii_or_non_printable_char

unknown_column

unknown_file