GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T20:00:05Z,
for the dataset file:///shared/hokusei-noriai.zip. No country code was provided.

Notice Code

Severity

Total

fast_travel_between_consecutive_stops

WARNING

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type	Description	Threshold, km/h
0	Light rail	100
1	Subway	150
2	Rail	500
3	Bus	150
4	Ferry	80
5	Cable tram	30
6	Aerial lift	50
7	Funicular	50
11	Trolleybus	150
12	Monorail	150
-	Unknown	200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip.	tripId (?) `trip_id` of the problematic trip.	routeId (?) `route_id` of the problematic trip.	speedKph (?) Travel speed (km/h).	distanceKm (?) Distance between stops (km).	csvRowNumber1 (?) The row number of the first stop time.	stopSequence1 (?) `stop_sequence` of the first stop.	stopId1 (?) `stop_id` of the first stop.	stopName1 (?) `stop_name` of the first stop.	departureTime1 (?) `departure_time` of the first stop.	csvRowNumber2 (?) The row number of the second stop time.	stopSequence2 (?) `stop_sequence` of the second stop.	stopId2 (?) `stop_id` of the second stop.	stopName2 (?) `stop_name` of the second stop.	arrivalTime2 (?) `arrival_time` of the second stop.
42	"170_毎日_1204_170"	"170"	245.48461283889537	4.0914102139815895	538	1	"107_1"	"① 杉山町会弥生北口停留所（旧弥生北口バス停）"	"12:04:00"	539	2	"108_1"	"② 杉山町会ごみ集積所A"	"12:04:00"
46	"180_毎日_1550_180"	"180"	150.30180227848797	2.5050300379747994	698	25	"256_1"	"⑪ 折笠町会ごみ集積所A"	"16:11:00"	699	26	"255_1"	"⑨ 弥生町会外ヶ沢入口停留所（旧外ヶ沢入口バス停）"	"16:11:00"
46	"180_毎日_1550_180"	"180"	245.74040058463004	4.095673343077167	706	33	"248_1"	"② 杉山町会ごみ集積所A"	"16:20:00"	707	34	"247_1"	"① 杉山町会弥生北口停留所（旧弥生北口バス停）"	"16:20:00"
45	"180_毎日_1350_180"	"180"	150.30180227848797	2.5050300379747994	664	25	"256_1"	"⑪ 折笠町会ごみ集積所A"	"14:11:00"	665	26	"255_1"	"⑨ 弥生町会外ヶ沢入口停留所（旧外ヶ沢入口バス停）"	"14:11:00"
45	"180_毎日_1350_180"	"180"	245.74040058463004	4.095673343077167	672	33	"248_1"	"② 杉山町会ごみ集積所A"	"14:20:00"	673	34	"247_1"	"① 杉山町会弥生北口停留所（旧弥生北口バス停）"	"14:20:00"
48	"180_毎日_1730_180"	"180"	150.30180227848797	2.5050300379747994	766	25	"256_1"	"⑪ 折笠町会ごみ集積所A"	"17:51:00"	767	26	"255_1"	"⑨ 弥生町会外ヶ沢入口停留所（旧外ヶ沢入口バス停）"	"17:51:00"
48	"180_毎日_1730_180"	"180"	245.74040058463004	4.095673343077167	774	33	"248_1"	"② 杉山町会ごみ集積所A"	"18:00:00"	775	34	"247_1"	"① 杉山町会弥生北口停留所（旧弥生北口バス停）"	"18:00:00"
43	"170_毎日_1650_170"	"170"	245.48461283889537	4.0914102139815895	572	1	"107_1"	"① 杉山町会弥生北口停留所（旧弥生北口バス停）"	"16:50:00"	573	2	"108_1"	"② 杉山町会ごみ集積所A"	"16:50:00"
47	"180_毎日_1705_180"	"180"	150.30180227848797	2.5050300379747994	732	25	"256_1"	"⑪ 折笠町会ごみ集積所A"	"17:26:00"	733	26	"255_1"	"⑨ 弥生町会外ヶ沢入口停留所（旧外ヶ沢入口バス停）"	"17:26:00"
47	"180_毎日_1705_180"	"180"	245.74040058463004	4.095673343077167	740	33	"248_1"	"② 杉山町会ごみ集積所A"	"17:35:00"	741	34	"247_1"	"① 杉山町会弥生北口停留所（旧弥生北口バス停）"	"17:35:00"
40	"170_毎日_0804_170"	"170"	245.48461283889537	4.0914102139815895	470	1	"107_1"	"① 杉山町会弥生北口停留所（旧弥生北口バス停）"	"08:04:00"	471	2	"108_1"	"② 杉山町会ごみ集積所A"	"08:04:00"
39	"170_毎日_0629_170"	"170"	245.48461283889537	4.0914102139815895	436	1	"107_1"	"① 杉山町会弥生北口停留所（旧弥生北口バス停）"	"06:29:00"	437	2	"108_1"	"② 杉山町会ごみ集積所A"	"06:29:00"
41	"170_毎日_1004_170"	"170"	245.48461283889537	4.0914102139815895	504	1	"107_1"	"① 杉山町会弥生北口停留所（旧弥生北口バス停）"	"10:04:00"	505	2	"108_1"	"② 杉山町会ごみ集積所A"	"10:04:00"
44	"180_毎日_1300_180"	"180"	150.30180227848797	2.5050300379747994	630	25	"256_1"	"⑪ 折笠町会ごみ集積所A"	"13:21:00"	631	26	"255_1"	"⑨ 弥生町会外ヶ沢入口停留所（旧外ヶ沢入口バス停）"	"13:21:00"
44	"180_毎日_1300_180"	"180"	245.74040058463004	4.095673343077167	638	33	"248_1"	"② 杉山町会ごみ集積所A"	"13:30:00"	639	34	"247_1"	"① 杉山町会弥生北口停留所（旧弥生北口バス停）"	"13:30:00"

leading_or_trailing_whitespaces

WARNING

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file.	csvRowNumber (?) The row of the faulty record.	fieldName (?) Faulty record's field name.	fieldValue (?) Faulty value.
"translations.txt"	170	"translation"	"⑬ 折笠町会折笠停留所（乗合タクシー船沢線折笠停留所と兼用） "
"translations.txt"	1100	"translation"	"⑬ 折笠町会折笠停留所（乗合タクシー船沢線折笠停留所と兼用） "

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"

missing_timepoint_value

WARNING

1313

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 1313 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_平日_1830_10"	1
3	"10_平日_1830_10"	2
4	"10_平日_1830_10"	3
5	"10_平日_1830_10"	4
6	"10_平日_1830_10"	5
7	"10_平日_1830_10"	6
8	"10_平日_1830_10"	7
9	"10_平日_1830_10"	8
10	"10_平日_1830_10"	9
11	"10_毎日_1150_10"	1
12	"10_毎日_1150_10"	2
13	"10_毎日_1150_10"	3
14	"10_毎日_1150_10"	4
15	"10_毎日_1150_10"	5
16	"10_毎日_1150_10"	6
17	"10_毎日_1150_10"	7
18	"10_毎日_1150_10"	8
19	"10_毎日_1150_10"	9
20	"10_毎日_1550_10"	1
21	"10_毎日_1550_10"	2
22	"10_毎日_1550_10"	3
23	"10_毎日_1550_10"	4
24	"10_毎日_1550_10"	5
25	"10_毎日_1550_10"	6
26	"10_毎日_1550_10"	7
27	"10_毎日_1550_10"	8
28	"10_毎日_1550_10"	9
29	"100_毎日_0800_100"	1
30	"100_毎日_0800_100"	2
31	"100_毎日_0800_100"	3
32	"100_毎日_0800_100"	4
33	"100_毎日_0800_100"	5
34	"100_毎日_0800_100"	6
35	"100_毎日_0800_100"	7
36	"100_毎日_0800_100"	8
37	"100_毎日_0800_100"	9
38	"100_毎日_0800_100"	10
39	"100_毎日_0800_100"	11
40	"100_毎日_0800_100"	12
41	"100_毎日_0800_100"	13
42	"100_毎日_0950_100"	1
43	"100_毎日_0950_100"	2
44	"100_毎日_0950_100"	3
45	"100_毎日_0950_100"	4
46	"100_毎日_0950_100"	5
47	"100_毎日_0950_100"	6
48	"100_毎日_0950_100"	7
49	"100_毎日_0950_100"	8
50	"100_毎日_0950_100"	9
51	"100_毎日_0950_100"	10

mixed_case_recommended_field

WARNING

240

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 240 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"	"石川地区線（石川方面）"	2
"routes.txt"	"route_long_name"	"小友地区線（農村環境改善センター行き）"	3
"routes.txt"	"route_long_name"	"福村新里地区線A（JR弘前駅行き）"	4
"routes.txt"	"route_long_name"	"福村新里地区線a（JR弘前駅行き）"	5
"routes.txt"	"route_long_name"	"船沢地区線（マックスバリュー弘前城北店前行き）"	6
"routes.txt"	"route_long_name"	"船沢地区線（船沢地区行き）"	7
"routes.txt"	"route_long_name"	"三ツ森地区線（マックスバリュー弘前城北店前行き）"	8
"routes.txt"	"route_long_name"	"三ツ森地区線（三ツ森地区行き）"	9
"routes.txt"	"route_long_name"	"弥生葛原地区線（市街地方面行き）"	10
"routes.txt"	"route_long_name"	"弥生葛原地区線（弥生葛原方面行き）"	11
"routes.txt"	"route_long_name"	"石川地区線（市街地・大鰐方面）"	12
"routes.txt"	"route_long_name"	"堀越地区線（市街地方面）"	13
"routes.txt"	"route_long_name"	"堀越地区線（堀越方面）"	14
"routes.txt"	"route_long_name"	"鳥井野地区線（城西四丁目行き）"	15
"routes.txt"	"route_long_name"	"鳥井野地区線（岩木庁舎前行き）"	16
"routes.txt"	"route_long_name"	"笹館地区線（市街地方面行き）"	17
"routes.txt"	"route_long_name"	"笹館地区線（笹館地区行き）"	18
"routes.txt"	"route_long_name"	"小友地区線（板柳行き）"	19
"stops.txt"	"stop_name"	"① 杉山町会弥生北口停留所（旧弥生北口バス停）"	18
"stops.txt"	"stop_name"	"① 杉山町会弥生北口停留所（旧弥生北口バス停）"	19
"stops.txt"	"stop_name"	"② 杉山町会ごみ集積所A"	20
"stops.txt"	"stop_name"	"② 杉山町会ごみ集積所A"	21
"stops.txt"	"stop_name"	"③ 杉山町会ごみ集積所B（旧弥生平バス停付近）"	22
"stops.txt"	"stop_name"	"③ 杉山町会ごみ集積所B（旧弥生平バス停付近）"	23
"stops.txt"	"stop_name"	"④ 弥生町会弥生南口停留所（旧弥生南口バス停）"	26
"stops.txt"	"stop_name"	"④ 弥生町会弥生南口停留所（旧弥生南口バス停）"	27
"stops.txt"	"stop_name"	"⑤ 弥生町会ごみ集積所A"	28
"stops.txt"	"stop_name"	"⑤ 弥生町会ごみ集積所A"	29
"stops.txt"	"stop_name"	"⑥ 弥生町会ごみ集積所B（弥生会館付近）"	30
"stops.txt"	"stop_name"	"⑥ 弥生町会ごみ集積所B（弥生会館付近）"	31
"stops.txt"	"stop_name"	"⑦ 弥生町会ごみ集積所C（旧弥生バス停付近）"	32
"stops.txt"	"stop_name"	"⑦ 弥生町会ごみ集積所C（旧弥生バス停付近）"	33
"stops.txt"	"stop_name"	"⑧ 上弥生町会スクールバス停留所"	34
"stops.txt"	"stop_name"	"⑧ 上弥生町会スクールバス停留所"	35
"stops.txt"	"stop_name"	"⑨ 弥生町会外ヶ沢入口停留所（旧外ヶ沢入口バス停）"	36
"stops.txt"	"stop_name"	"⑨ 弥生町会外ヶ沢入口停留所（旧外ヶ沢入口バス停）"	37
"stops.txt"	"stop_name"	"⑪ 折笠町会ごみ集積所A"	38
"stops.txt"	"stop_name"	"⑪ 折笠町会ごみ集積所A"	39
"stops.txt"	"stop_name"	"⑫ 折笠町会ごみ集積所B（折笠町民会館付近）"	40
"stops.txt"	"stop_name"	"⑫ 折笠町会ごみ集積所B（折笠町民会館付近）"	41
"stops.txt"	"stop_name"	"⑬ 折笠町会折笠停留所（乗合タクシー船沢線折笠停留所と兼用）"	42
"stops.txt"	"stop_name"	"⑬ 折笠町会折笠停留所（乗合タクシー船沢線折笠停留所と兼用）"	43
"stops.txt"	"stop_name"	"⑭ 折笠町会富栄停留所（乗合タクシー船沢線富栄停留所と兼用）"	44
"stops.txt"	"stop_name"	"⑭ 折笠町会富栄停留所（乗合タクシー船沢線富栄停留所と兼用）"	45
"stops.txt"	"stop_name"	"⑮ 折笠町会ごみ集積所C（船沢こども園の裏）"	48
"stops.txt"	"stop_name"	"⑮ 折笠町会ごみ集積所C（船沢こども園の裏）"	49
"stops.txt"	"stop_name"	"⑯ 鼻和町会ごみ集積所A"	50
"stops.txt"	"stop_name"	"⑯ 鼻和町会ごみ集積所A"	51
"stops.txt"	"stop_name"	"⑰ 鼻和町会ごみ集積所B（旧鼻和バス停付近）"	52
"stops.txt"	"stop_name"	"⑰ 鼻和町会ごみ集積所B（旧鼻和バス停付近）"	53

non_ascii_or_non_printable_char

WARNING

1510

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 1510 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_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"
"stop_times.txt"	2	"trip_id"	"10_平日_1830_10"
"stop_times.txt"	3	"trip_id"	"10_平日_1830_10"
"stop_times.txt"	4	"trip_id"	"10_平日_1830_10"
"stop_times.txt"	5	"trip_id"	"10_平日_1830_10"
"stop_times.txt"	6	"trip_id"	"10_平日_1830_10"
"stop_times.txt"	7	"trip_id"	"10_平日_1830_10"
"stop_times.txt"	8	"trip_id"	"10_平日_1830_10"
"stop_times.txt"	9	"trip_id"	"10_平日_1830_10"
"stop_times.txt"	10	"trip_id"	"10_平日_1830_10"
"stop_times.txt"	11	"trip_id"	"10_毎日_1150_10"
"stop_times.txt"	12	"trip_id"	"10_毎日_1150_10"
"stop_times.txt"	13	"trip_id"	"10_毎日_1150_10"
"stop_times.txt"	14	"trip_id"	"10_毎日_1150_10"
"stop_times.txt"	15	"trip_id"	"10_毎日_1150_10"
"stop_times.txt"	16	"trip_id"	"10_毎日_1150_10"
"stop_times.txt"	17	"trip_id"	"10_毎日_1150_10"
"stop_times.txt"	18	"trip_id"	"10_毎日_1150_10"

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

3091 notices reported (0 errors, 3085 warnings, 6 infos)

fast_travel_between_consecutive_stops

leading_or_trailing_whitespaces

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