etajimabus2 — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-28T04:04:07Z,
for the dataset file:///shared/etajimabus2_f732159c.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


  • 江田島バス

Feed Info


Publisher Name:
株式会社タウンクリエーション
Feed Email:
N/A
Feed Language:
Japanese

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: 34
  • Shapes: 0
  • Stops: 173
  • Trips: 333

Specification Compliance report

7848 notices reported (3 errors, 7843 warnings, 2 infos)

Notice Code Severity Total
missing_required_column ERROR 3

missing_required_column

A required column is missing in the input file.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the missing column.
"translations.txt" "field_name"
"translations.txt" "language"
"translations.txt" "table_name"
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 69

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 69 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.
"feed_info.txt" 2 "feed_start_date"
"feed_info.txt" 2 "feed_end_date"
"feed_info.txt" 2 "feed_version"
"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"
missing_timepoint_value WARNING 7399

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 7399 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 "21_202507" 1
3 "21_202507" 2
4 "21_202507" 3
5 "21_202507" 4
6 "21_202507" 5
7 "21_202507" 6
8 "21_202507" 7
9 "21_202507" 8
10 "21_202507" 9
11 "21_202507" 10
12 "21_202507" 11
13 "21_202507" 12
14 "21_202507" 13
15 "21_202507" 14
16 "21_202507" 15
17 "21_202507" 16
18 "21_202507" 17
19 "21_202507" 18
20 "21_202507" 19
21 "21_202507" 20
22 "21_202507" 21
23 "21_202507" 22
24 "21_202507" 23
25 "21_202507" 24
26 "21_202507" 25
27 "21_202507" 26
28 "21_202507" 27
29 "21_202507" 28
30 "21_202507" 29
31 "21_202507" 30
32 "21_202507" 31
33 "21_202507" 32
34 "21_202507" 33
35 "21_202507" 34
36 "21_202507" 35
37 "21_202507" 36
38 "21_202507" 37
39 "21_202507" 38
40 "21_202507" 39
41 "21_202507" 40
42 "21_202507" 41
43 "21_202507" 42
44 "21_202541" 1
45 "21_202541" 2
46 "21_202541" 3
47 "21_202541" 4
48 "21_202541" 5
49 "21_202541" 6
50 "21_202541" 7
51 "21_202541" 8
mixed_case_recommended_field WARNING 35

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" "中町桟橋・是長・中町桟橋" 2
"routes.txt" "route_long_name" "大柿高校・大君・小用" 3
"routes.txt" "route_long_name" "高田桟橋・鹿川・大柿高校" 4
"routes.txt" "route_long_name" "大柿高校・鹿川・三高桟橋" 5
"routes.txt" "route_long_name" "ゆめタウン・大君・市役所・ゆめタウン" 6
"routes.txt" "route_long_name" "小用・秋月桟橋・ゆめタウン" 7
"routes.txt" "route_long_name" "ゆめタウン・秋月桟橋・小用" 8
"routes.txt" "route_long_name" "小用・術科学校" 9
"routes.txt" "route_long_name" "術科学校・小用" 10
"routes.txt" "route_long_name" "小用・市役所・深江" 11
"routes.txt" "route_long_name" "深江・市役所・小用" 12
"routes.txt" "route_long_name" "小用・市役所・須野本" 13
"routes.txt" "route_long_name" "小用・大君・深江" 14
"routes.txt" "route_long_name" "深江・大君・小用" 15
"routes.txt" "route_long_name" "須野本・大君・小用" 16
"routes.txt" "route_long_name" "小用・大原・津久茂" 17
"routes.txt" "route_long_name" "津久茂・大原・小用" 18
"routes.txt" "route_long_name" "小用・山田・ゆめタウン" 19
"routes.txt" "route_long_name" "ゆめタウン・山田・小用" 20
"routes.txt" "route_long_name" "ゆめタウン・大君・高田桟橋" 21
"routes.txt" "route_long_name" "大柿高校・鹿川・中町桟橋" 22
"routes.txt" "route_long_name" "中町桟橋・鹿川・大柿高校" 23
"routes.txt" "route_long_name" "三高桟橋・鹿川・大柿高校" 24
"routes.txt" "route_long_name" "中町桟橋・是長・三高桟橋" 25
"routes.txt" "route_long_name" "三高桟橋・是長・中町桟橋" 26
"routes.txt" "route_long_name" "高田桟橋・長瀬海岸・ゆめタウン" 27
"routes.txt" "route_long_name" "ゆめタウン・長瀬海岸・高田桟橋" 28
"routes.txt" "route_long_name" "小用・山田・秋月桟橋" 29
"routes.txt" "route_long_name" "秋月桟橋・山田・小用" 30
"routes.txt" "route_long_name" "小用・ゆめタウン・長瀬海岸・高田桟橋" 31
"routes.txt" "route_long_name" "高田桟橋・長瀬海岸・ゆめタウン・小用" 32
"routes.txt" "route_long_name" "小用・市役所・大柿高校" 33
"routes.txt" "route_long_name" "大柿高校・市役所・小用" 34
"routes.txt" "route_long_name" "小用・大君・大柿高校" 35
"stops.txt" "stop_name" "宮ノ原2丁目" 163
non_ascii_or_non_printable_char WARNING 339

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 339 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" "平日_20230321"
"calendar.txt" 3 "service_id" "土日_20230321"
"calendar_dates.txt" 2 "service_id" "平日_20230321"
"calendar_dates.txt" 3 "service_id" "平日_20230321"
"calendar_dates.txt" 4 "service_id" "土日_20230321"
"calendar_dates.txt" 5 "service_id" "土日_20230321"
"trips.txt" 2 "service_id" "土日_20230321"
"trips.txt" 3 "service_id" "土日_20230321"
"trips.txt" 4 "service_id" "土日_20230321"
"trips.txt" 5 "service_id" "平日_20230321"
"trips.txt" 6 "service_id" "平日_20230321"
"trips.txt" 7 "service_id" "平日_20230321"
"trips.txt" 8 "service_id" "平日_20230321"
"trips.txt" 9 "service_id" "平日_20230321"
"trips.txt" 10 "service_id" "平日_20230321"
"trips.txt" 11 "service_id" "土日_20230321"
"trips.txt" 12 "service_id" "土日_20230321"
"trips.txt" 13 "service_id" "平日_20230321"
"trips.txt" 14 "service_id" "平日_20230321"
"trips.txt" 15 "service_id" "平日_20230321"
"trips.txt" 16 "service_id" "平日_20230321"
"trips.txt" 17 "service_id" "土日_20230321"
"trips.txt" 18 "service_id" "平日_20230321"
"trips.txt" 19 "service_id" "平日_20230321"
"trips.txt" 20 "service_id" "土日_20230321"
"trips.txt" 21 "service_id" "土日_20230321"
"trips.txt" 22 "service_id" "土日_20230321"
"trips.txt" 23 "service_id" "平日_20230321"
"trips.txt" 24 "service_id" "平日_20230321"
"trips.txt" 25 "service_id" "平日_20230321"
"trips.txt" 26 "service_id" "平日_20230321"
"trips.txt" 27 "service_id" "平日_20230321"
"trips.txt" 28 "service_id" "平日_20230321"
"trips.txt" 29 "service_id" "土日_20230321"
"trips.txt" 30 "service_id" "土日_20230321"
"trips.txt" 31 "service_id" "土日_20230321"
"trips.txt" 32 "service_id" "土日_20230321"
"trips.txt" 33 "service_id" "土日_20230321"
"trips.txt" 34 "service_id" "平日_20230321"
"trips.txt" 35 "service_id" "平日_20230321"
"trips.txt" 36 "service_id" "平日_20230321"
"trips.txt" 37 "service_id" "平日_20230321"
"trips.txt" 38 "service_id" "平日_20230321"
"trips.txt" 39 "service_id" "平日_20230321"
"trips.txt" 40 "service_id" "平日_20230321"
"trips.txt" 41 "service_id" "平日_20230321"
"trips.txt" 42 "service_id" "平日_20230321"
"trips.txt" 43 "service_id" "土日_20230321"
"trips.txt" 44 "service_id" "土日_20230321"
"trips.txt" 45 "service_id" "平日_20230321"
unknown_column INFO 2

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.
"translations.txt" "trans_id" 1
"translations.txt" "lang" 2