GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-13T03:02:02Z,
for the dataset file:///shared/hokusei-noriai.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Email:
alex@busmaps.com
Feed Language:
Japanese
Feed Start Date:
2025-06-16
Feed End Date:
2026-03-31

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. fare_attributes.txt
  5. fare_rules.txt
  6. feed_info.txt
  7. routes.txt
  8. stop_times.txt
  9. stops.txt
  10. translations.txt
  11. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 17
  • Shapes: 0
  • Stops: 560
  • Trips: 82

Specification Compliance report

1733 notices reported (0 errors, 1733 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 15

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.
43 "105735-170_毎日_1650_170" "105735-170" 245.48564080930097 4.091427346821683 572 0 "105735-107_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 1 "105735-108_1" "② 杉山町会 ごみ集積所a" "16:50:00"
44 "105735-180_毎日_1300_180" "105735-180" 150.30304830180097 2.505050805030016 630 24 "105735-256_1" "⑪ 折笠町会 ごみ集積所a" "13:21:00" 631 25 "105735-255_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 "105735-180_毎日_1300_180" "105735-180" 245.74377437031947 4.095729572838658 638 32 "105735-248_1" "② 杉山町会 ごみ集積所a" "13:30:00" 639 33 "105735-247_1" "① 杉山町会 弥生北口停留所（旧 弥生北口バス停）" "13:30:00"
42 "105735-170_毎日_1204_170" "105735-170" 245.48564080930097 4.091427346821683 538 0 "105735-107_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 1 "105735-108_1" "② 杉山町会 ごみ集積所a" "12:04:00"
41 "105735-170_毎日_1004_170" "105735-170" 245.48564080930097 4.091427346821683 504 0 "105735-107_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 1 "105735-108_1" "② 杉山町会 ごみ集積所a" "10:04:00"
45 "105735-180_毎日_1350_180" "105735-180" 150.30304830180097 2.505050805030016 664 24 "105735-256_1" "⑪ 折笠町会 ごみ集積所a" "14:11:00" 665 25 "105735-255_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 "105735-180_毎日_1350_180" "105735-180" 245.74377437031947 4.095729572838658 672 32 "105735-248_1" "② 杉山町会 ごみ集積所a" "14:20:00" 673 33 "105735-247_1" "① 杉山町会 弥生北口停留所（旧 弥生北口バス停）" "14:20:00"
46 "105735-180_毎日_1550_180" "105735-180" 150.30304830180097 2.505050805030016 698 24 "105735-256_1" "⑪ 折笠町会 ごみ集積所a" "16:11:00" 699 25 "105735-255_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 "105735-180_毎日_1550_180" "105735-180" 245.74377437031947 4.095729572838658 706 32 "105735-248_1" "② 杉山町会 ごみ集積所a" "16:20:00" 707 33 "105735-247_1" "① 杉山町会 弥生北口停留所（旧 弥生北口バス停）" "16:20:00"
47 "105735-180_毎日_1705_180" "105735-180" 150.30304830180097 2.505050805030016 732 24 "105735-256_1" "⑪ 折笠町会 ごみ集積所a" "17:26:00" 733 25 "105735-255_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 "105735-180_毎日_1705_180" "105735-180" 245.74377437031947 4.095729572838658 740 32 "105735-248_1" "② 杉山町会 ごみ集積所a" "17:35:00" 741 33 "105735-247_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 "105735-170_毎日_0804_170" "105735-170" 245.48564080930097 4.091427346821683 470 0 "105735-107_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 1 "105735-108_1" "② 杉山町会 ごみ集積所a" "08:04:00"
39 "105735-170_毎日_0629_170" "105735-170" 245.48564080930097 4.091427346821683 436 0 "105735-107_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 1 "105735-108_1" "② 杉山町会 ごみ集積所a" "06:29:00"
48 "105735-180_毎日_1730_180" "105735-180" 150.30304830180097 2.505050805030016 766 24 "105735-256_1" "⑪ 折笠町会 ごみ集積所a" "17:51:00" 767 25 "105735-255_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 "105735-180_毎日_1730_180" "105735-180" 245.74377437031947 4.095729572838658 774 32 "105735-248_1" "② 杉山町会 ごみ集積所a" "18:00:00" 775 33 "105735-247_1" "① 杉山町会 弥生北口停留所（旧 弥生北口バス停）" "18:00:00"
missing_recommended_field WARNING 4

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"
mixed_case_recommended_field WARNING 230

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 230 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_short_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" "船沢地区線（マックスバリュー弘前城北店前行き）" 5
"routes.txt" "route_long_name" "船沢地区線（船沢地区行き）" 6
"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）" 7
"routes.txt" "route_long_name" "三ツ森地区線（三ツ森地区行き）" 8
"routes.txt" "route_long_name" "弥生葛原地区線（市街地方面行き）" 9
"routes.txt" "route_long_name" "弥生葛原地区線（弥生葛原方面行き）" 10
"routes.txt" "route_long_name" "石川地区線（市街地・大鰐方面）" 11
"routes.txt" "route_short_name" "堀越地区線（市街地方面）" 12
"routes.txt" "route_short_name" "堀越地区線（堀越方面）" 13
"routes.txt" "route_long_name" "鳥井野地区線（城西四丁目行き）" 14
"routes.txt" "route_long_name" "鳥井野地区線（岩木庁舎前行き）" 15
"routes.txt" "route_long_name" "笹館地区線（市街地方面行き）" 16
"routes.txt" "route_long_name" "笹館地区線（笹館地区行き）" 17
"routes.txt" "route_short_name" "小友地区線（板柳行き）" 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）" 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
"stops.txt" "stop_name" "⑱ 鼻和町会 鼻和南口停留所（旧 鼻和南口バス停）" 54
"stops.txt" "stop_name" "⑱ 鼻和町会 鼻和南口停留所（旧 鼻和南口バス停）" 55
non_ascii_or_non_printable_char WARNING 1484

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 1484 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" "105735-平日"
"calendar.txt" 3 "service_id" "105735-毎日"
"calendar_dates.txt" 2 "service_id" "105735-平日"
"calendar_dates.txt" 3 "service_id" "105735-平日"
"calendar_dates.txt" 4 "service_id" "105735-平日"
"calendar_dates.txt" 5 "service_id" "105735-平日"
"calendar_dates.txt" 6 "service_id" "105735-平日"
"stop_times.txt" 2 "trip_id" "105735-10_平日_1830_10"
"stop_times.txt" 3 "trip_id" "105735-10_平日_1830_10"
"stop_times.txt" 4 "trip_id" "105735-10_平日_1830_10"
"stop_times.txt" 5 "trip_id" "105735-10_平日_1830_10"
"stop_times.txt" 6 "trip_id" "105735-10_平日_1830_10"
"stop_times.txt" 7 "trip_id" "105735-10_平日_1830_10"
"stop_times.txt" 8 "trip_id" "105735-10_平日_1830_10"
"stop_times.txt" 9 "trip_id" "105735-10_平日_1830_10"
"stop_times.txt" 10 "trip_id" "105735-10_平日_1830_10"
"stop_times.txt" 11 "trip_id" "105735-10_毎日_1150_10"
"stop_times.txt" 12 "trip_id" "105735-10_毎日_1150_10"
"stop_times.txt" 13 "trip_id" "105735-10_毎日_1150_10"
"stop_times.txt" 14 "trip_id" "105735-10_毎日_1150_10"
"stop_times.txt" 15 "trip_id" "105735-10_毎日_1150_10"
"stop_times.txt" 16 "trip_id" "105735-10_毎日_1150_10"
"stop_times.txt" 17 "trip_id" "105735-10_毎日_1150_10"
"stop_times.txt" 18 "trip_id" "105735-10_毎日_1150_10"
"stop_times.txt" 19 "trip_id" "105735-10_毎日_1150_10"
"stop_times.txt" 20 "trip_id" "105735-10_毎日_1550_10"
"stop_times.txt" 21 "trip_id" "105735-10_毎日_1550_10"
"stop_times.txt" 22 "trip_id" "105735-10_毎日_1550_10"
"stop_times.txt" 23 "trip_id" "105735-10_毎日_1550_10"
"stop_times.txt" 24 "trip_id" "105735-10_毎日_1550_10"
"stop_times.txt" 25 "trip_id" "105735-10_毎日_1550_10"
"stop_times.txt" 26 "trip_id" "105735-10_毎日_1550_10"
"stop_times.txt" 27 "trip_id" "105735-10_毎日_1550_10"
"stop_times.txt" 28 "trip_id" "105735-10_毎日_1550_10"
"stop_times.txt" 29 "trip_id" "105735-100_毎日_0800_100"
"stop_times.txt" 30 "trip_id" "105735-100_毎日_0800_100"
"stop_times.txt" 31 "trip_id" "105735-100_毎日_0800_100"
"stop_times.txt" 32 "trip_id" "105735-100_毎日_0800_100"
"stop_times.txt" 33 "trip_id" "105735-100_毎日_0800_100"
"stop_times.txt" 34 "trip_id" "105735-100_毎日_0800_100"
"stop_times.txt" 35 "trip_id" "105735-100_毎日_0800_100"
"stop_times.txt" 36 "trip_id" "105735-100_毎日_0800_100"
"stop_times.txt" 37 "trip_id" "105735-100_毎日_0800_100"
"stop_times.txt" 38 "trip_id" "105735-100_毎日_0800_100"
"stop_times.txt" 39 "trip_id" "105735-100_毎日_0800_100"
"stop_times.txt" 40 "trip_id" "105735-100_毎日_0800_100"
"stop_times.txt" 41 "trip_id" "105735-100_毎日_0800_100"
"stop_times.txt" 42 "trip_id" "105735-100_毎日_0950_100"
"stop_times.txt" 43 "trip_id" "105735-100_毎日_0950_100"
"stop_times.txt" 44 "trip_id" "105735-100_毎日_0950_100"