GTFS Schedule Validation Report

translation_unexpected_value

A field in a translations row has value but must be empty.

You can see more about this notice here.

Only the first 50 of 1724 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record.	fieldName (?) The name of the field that was expected to be empty.	fieldValue (?) Actual value of the field that was expected to be empty.
2	"record_sub_id"	"NONE"
3	"record_sub_id"	"NONE"
4	"record_sub_id"	"NONE"
5	"record_sub_id"	"NONE"
6	"record_sub_id"	"NONE"
7	"record_sub_id"	"NONE"
8	"record_sub_id"	"NONE"
9	"record_sub_id"	"NONE"
10	"record_sub_id"	"NONE"
11	"record_sub_id"	"NONE"
12	"record_sub_id"	"NONE"
13	"record_sub_id"	"NONE"
14	"record_sub_id"	"NONE"
15	"record_sub_id"	"NONE"
16	"record_sub_id"	"NONE"
17	"record_sub_id"	"NONE"
18	"record_sub_id"	"NONE"
19	"record_sub_id"	"NONE"
20	"record_sub_id"	"NONE"
21	"record_sub_id"	"NONE"
22	"record_sub_id"	"NONE"
23	"record_sub_id"	"NONE"
24	"record_sub_id"	"NONE"
25	"record_sub_id"	"NONE"
26	"record_sub_id"	"NONE"
27	"record_sub_id"	"NONE"
28	"record_sub_id"	"NONE"
29	"record_sub_id"	"NONE"
30	"record_sub_id"	"NONE"
31	"record_sub_id"	"NONE"
32	"record_sub_id"	"NONE"
33	"record_sub_id"	"NONE"
34	"record_sub_id"	"NONE"
35	"record_sub_id"	"NONE"
36	"record_sub_id"	"NONE"
37	"record_sub_id"	"NONE"
38	"record_sub_id"	"NONE"
39	"record_sub_id"	"NONE"
40	"record_sub_id"	"NONE"
41	"record_sub_id"	"NONE"
42	"record_sub_id"	"NONE"
43	"record_sub_id"	"NONE"
44	"record_sub_id"	"NONE"
45	"record_sub_id"	"NONE"
46	"record_sub_id"	"NONE"
47	"record_sub_id"	"NONE"
48	"record_sub_id"	"NONE"
49	"record_sub_id"	"NONE"
50	"record_sub_id"	"NONE"
51	"record_sub_id"	"NONE"

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.
2	"0_平日運行"

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record.	currentDate (?) Current date (YYYYMMDD format).	feedEndDate (?) Feed end date (YYYYMMDD format).	suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2	"20251205"	"20220331"	"20251212"

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

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"

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 5408 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	"121_0_1"	1
3	"121_0_1"	2
4	"121_0_1"	3
5	"121_0_1"	4
6	"121_0_1"	5
7	"121_0_1"	6
8	"121_0_1"	7
9	"121_0_1"	8
10	"121_0_1"	9
11	"121_0_1"	10
12	"121_0_1"	11
13	"121_0_1"	12
14	"121_0_1"	13
15	"121_0_1"	14
16	"121_0_11"	1
17	"121_0_11"	2
18	"121_0_11"	3
19	"121_0_11"	4
20	"121_0_11"	5
21	"121_0_11"	6
22	"121_0_11"	7
23	"121_0_11"	8
24	"121_0_11"	9
25	"121_0_11"	10
26	"121_0_11"	11
27	"121_0_11"	12
28	"121_0_11"	13
29	"121_0_11"	14
30	"121_0_13"	1
31	"121_0_13"	2
32	"121_0_13"	3
33	"121_0_13"	4
34	"121_0_13"	5
35	"121_0_13"	6
36	"121_0_13"	7
37	"121_0_13"	8
38	"121_0_13"	9
39	"121_0_13"	10
40	"121_0_13"	11
41	"121_0_13"	12
42	"121_0_13"	13
43	"121_0_13"	14
44	"121_0_14"	1
45	"121_0_14"	2
46	"121_0_14"	3
47	"121_0_14"	4
48	"121_0_14"	5
49	"121_0_14"	6
50	"121_0_14"	7
51	"121_0_14"	8

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 445 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.
"routes.txt"	"route_long_name"	"Aコース JR島松駅 > JR恵み野駅東口"	2
"routes.txt"	"route_long_name"	"Aコース JR恵み野駅東口 > JR恵庭駅東口"	3
"routes.txt"	"route_long_name"	"Aコース JR恵庭駅東口 > JR恵庭駅西口"	4
"routes.txt"	"route_long_name"	"Aコース JR恵庭駅西口 > JR恵み野駅西口"	5
"routes.txt"	"route_long_name"	"Aコース JR恵み野駅西口 > JR島松駅"	6
"routes.txt"	"route_long_name"	"Bコース JR恵み野駅東口 > JR島松駅"	7
"routes.txt"	"route_long_name"	"Bコース JR恵庭駅東口 > JR恵み野駅東口"	8
"routes.txt"	"route_long_name"	"Bコース JR恵庭駅西口 > JR恵庭駅東口"	9
"routes.txt"	"route_long_name"	"Bコース JR恵み野駅西口 > JR恵庭駅西口"	10
"routes.txt"	"route_long_name"	"Bコース JR島松駅 > JR恵み野駅西口"	11
"stops.txt"	"stop_name"	"恵み野西5丁目"	9
"stops.txt"	"stop_name"	"恵み野西5丁目"	10
"stops.txt"	"stop_name"	"恵み野西5丁目"	11
"stops.txt"	"stop_name"	"恵み野西4丁目"	12
"stops.txt"	"stop_name"	"恵み野西4丁目"	13
"stops.txt"	"stop_name"	"恵み野西4丁目"	14
"stops.txt"	"stop_name"	"恵み野南2丁目"	21
"stops.txt"	"stop_name"	"恵み野南2丁目"	22
"stops.txt"	"stop_name"	"恵み野南2丁目"	23
"stops.txt"	"stop_name"	"恵み野南1丁目"	24
"stops.txt"	"stop_name"	"恵み野南1丁目"	25
"stops.txt"	"stop_name"	"恵み野南1丁目"	26
"stops.txt"	"stop_name"	"道と川の駅・中島公園"	27
"stops.txt"	"stop_name"	"道と川の駅・中島公園"	28
"stops.txt"	"stop_name"	"道と川の駅・中島公園"	29
"stops.txt"	"stop_name"	"黄金南6丁目"	41
"stops.txt"	"stop_name"	"黄金南6丁目"	42
"stops.txt"	"stop_name"	"黄金南6丁目"	43
"stops.txt"	"stop_name"	"住吉4丁目"	55
"stops.txt"	"stop_name"	"住吉4丁目"	56
"stops.txt"	"stop_name"	"住吉4丁目"	57
"stops.txt"	"stop_name"	"恵庭公園・駒場4丁目"	76
"stops.txt"	"stop_name"	"恵庭公園・駒場4丁目"	77
"stops.txt"	"stop_name"	"恵庭公園・駒場4丁目"	78
"stops.txt"	"stop_name"	"白樺町2丁目"	79
"stops.txt"	"stop_name"	"白樺町2丁目"	80
"stops.txt"	"stop_name"	"白樺町2丁目"	81
"stops.txt"	"stop_name"	"白樺町1丁目"	82
"stops.txt"	"stop_name"	"白樺町1丁目"	83
"stops.txt"	"stop_name"	"白樺町1丁目"	84
"stops.txt"	"stop_name"	"恵み野北1丁目"	99
"stops.txt"	"stop_name"	"緑町・えにあす"	109
"stops.txt"	"stop_name"	"緑町・えにあす"	110
"stops.txt"	"stop_name"	"緑町・えにあす"	111
"stops.txt"	"stop_name"	"市役所・市民会館"	118
"stops.txt"	"stop_name"	"市役所・市民会館"	119
"stops.txt"	"stop_name"	"市役所・市民会館"	120
"stops.txt"	"stop_name"	"有明町2丁目"	124
"stops.txt"	"stop_name"	"有明町2丁目"	125
"stops.txt"	"stop_name"	"有明町2丁目"	126

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 436 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"	"0_平日運行"
"calendar.txt"	3	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	2	"service_id"	"0_平日運行"
"calendar_dates.txt"	3	"service_id"	"0_平日運行"
"calendar_dates.txt"	4	"service_id"	"0_平日運行"
"calendar_dates.txt"	5	"service_id"	"0_平日運行"
"calendar_dates.txt"	6	"service_id"	"0_平日運行"
"calendar_dates.txt"	7	"service_id"	"0_平日運行"
"calendar_dates.txt"	8	"service_id"	"0_平日運行"
"calendar_dates.txt"	9	"service_id"	"0_平日運行"
"calendar_dates.txt"	10	"service_id"	"0_平日運行"
"calendar_dates.txt"	11	"service_id"	"0_平日運行"
"calendar_dates.txt"	12	"service_id"	"0_平日運行"
"calendar_dates.txt"	13	"service_id"	"0_平日運行"
"calendar_dates.txt"	14	"service_id"	"0_平日運行"
"calendar_dates.txt"	15	"service_id"	"0_平日運行"
"calendar_dates.txt"	16	"service_id"	"0_平日運行"
"calendar_dates.txt"	17	"service_id"	"0_平日運行"
"calendar_dates.txt"	18	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	19	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	20	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	21	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	22	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	23	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	24	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	25	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	26	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	27	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	28	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	29	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	30	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	31	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	32	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	33	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	34	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	35	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	36	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	37	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	38	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	39	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	40	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	41	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	42	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	43	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	44	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	45	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	46	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	47	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	48	"service_id"	"1_土日祝日のみ運行"
"calendar_dates.txt"	49	"service_id"	"1_土日祝日のみ運行"

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record.	stopId (?) The id of the faulty stop.	stopName (?) The name of the faulty stop.
17	"14_2"	"JR恵み野駅東口"
87	"36_2"	"降車専用"

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format).	serviceWindowStartDate (?) The start date of the majority service window.	serviceWindowEndDate (?) The end date of the majority service window.
"20251205"	"20211115"	"20251123"

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

A file is unknown.

You can see more about this notice here.

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