GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T19:53:19Z,
for the dataset file:///shared/tachikawacity-kururinbus.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
立川市
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2025-02-28
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. transfers.txt
  11. translations.txt
  12. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 5
  • Shapes: 0
  • Stops: 90
  • Trips: 173

Specification Compliance report

4962 notices reported (0 errors, 4870 warnings, 92 infos)

Notice Code Severity Total
duplicate_route_name WARNING 1

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 "11" "" "くるりんバス　西砂ルート" 3 "9000020132021"
expired_calendar WARNING 2

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.
4 "正月"
5 "年末"
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 1

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"
mixed_case_recommended_field WARNING 5

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" "くるりんバス　西砂ルート" 2
"routes.txt" "route_long_name" "くるりんバス　西砂ルート" 3
"routes.txt" "route_long_name" "くるりんバス　砂川支線" 4
"routes.txt" "route_long_name" "くるりんバス　錦ルート" 5
"routes.txt" "route_long_name" "くるりんバス　曙支線" 6
non_ascii_or_non_printable_char WARNING 4860

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 4860 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.
"trips.txt" 2 "trip_id" "1平日_06時45分_系統101001"
"trips.txt" 2 "service_id" "平日"
"trips.txt" 3 "trip_id" "2土日祝_19時40分_系統101001"
"trips.txt" 3 "service_id" "土日祝"
"trips.txt" 4 "trip_id" "4年末_19時40分_系統101001"
"trips.txt" 4 "service_id" "年末"
"trips.txt" 5 "trip_id" "1平日_07時06分_系統101002"
"trips.txt" 5 "service_id" "平日"
"trips.txt" 6 "trip_id" "1平日_07時36分_系統101002"
"trips.txt" 6 "service_id" "平日"
"trips.txt" 7 "trip_id" "1平日_08時06分_系統101002"
"trips.txt" 7 "service_id" "平日"
"trips.txt" 8 "trip_id" "1平日_09時06分_系統101002"
"trips.txt" 8 "service_id" "平日"
"trips.txt" 9 "trip_id" "1平日_09時44分_系統101002"
"trips.txt" 9 "service_id" "平日"
"trips.txt" 10 "trip_id" "1平日_11時14分_系統101002"
"trips.txt" 10 "service_id" "平日"
"trips.txt" 11 "trip_id" "1平日_12時46分_系統101002"
"trips.txt" 11 "service_id" "平日"
"trips.txt" 12 "trip_id" "1平日_13時31分_系統101002"
"trips.txt" 12 "service_id" "平日"
"trips.txt" 13 "trip_id" "1平日_14時20分_系統101002"
"trips.txt" 13 "service_id" "平日"
"trips.txt" 14 "trip_id" "1平日_15時50分_系統101002"
"trips.txt" 14 "service_id" "平日"
"trips.txt" 15 "trip_id" "1平日_17時20分_系統101002"
"trips.txt" 15 "service_id" "平日"
"trips.txt" 16 "trip_id" "1平日_18時05分_系統101002"
"trips.txt" 16 "service_id" "平日"
"trips.txt" 17 "trip_id" "1平日_18時51分_系統101002"
"trips.txt" 17 "service_id" "平日"
"trips.txt" 18 "trip_id" "1平日_20時20分_系統101002"
"trips.txt" 18 "service_id" "平日"
"trips.txt" 19 "trip_id" "2土日祝_09時20分_系統101002"
"trips.txt" 19 "service_id" "土日祝"
"trips.txt" 20 "trip_id" "2土日祝_10時50分_系統101002"
"trips.txt" 20 "service_id" "土日祝"
"trips.txt" 21 "trip_id" "2土日祝_12時20分_系統101002"
"trips.txt" 21 "service_id" "土日祝"
"trips.txt" 22 "trip_id" "2土日祝_13時50分_系統101002"
"trips.txt" 22 "service_id" "土日祝"
"trips.txt" 23 "trip_id" "2土日祝_15時20分_系統101002"
"trips.txt" 23 "service_id" "土日祝"
"trips.txt" 24 "trip_id" "2土日祝_16時50分_系統101002"
"trips.txt" 24 "service_id" "土日祝"
"trips.txt" 25 "trip_id" "2土日祝_18時20分_系統101002"
"trips.txt" 25 "service_id" "土日祝"
"trips.txt" 26 "trip_id" "3正月_09時20分_系統101002"
"trips.txt" 26 "service_id" "正月"
platform_without_parent_station INFO 90

platform_without_parent_station

A platform has no parent_station field set.

This is different from location_without_parent_station since it is less severe.

You can see more about this notice here.

Only the first 50 of 90 affected records are displayed below.

csvRowNumber (?) Row number of the faulty record. stopId (?) The id of the faulty record. stopName (?) The stop name of the faulty record.
2 "1_01" "西武立川駅北口"
3 "10_01" "七中前"
4 "10_02" "七中前"
5 "11_01" "西砂町五丁目東"
6 "11_02" "西砂町五丁目東"
7 "12_01" "西砂町五丁目"
8 "12_02" "西砂町五丁目"
9 "13_01" "西砂町四丁目"
10 "13_02" "西砂町四丁目"
11 "14_01" "リサイクルセンター南"
12 "14_02" "リサイクルセンター南"
13 "15_01" "西砂スポーツ広場北"
14 "15_02" "西砂スポーツ広場北"
15 "16_01" "中里"
16 "16_02" "中里"
17 "17_01" "西砂川"
18 "17_02" "西砂川"
19 "17_03" "西砂川"
20 "18_01" "西砂殿ヶ谷"
21 "18_02" "西砂殿ヶ谷"
22 "19_01" "西砂小学校"
23 "19_02" "西砂小学校"
24 "19_03" "西砂小学校"
25 "19_04" "西砂小学校"
26 "2_01" "松中"
27 "2_02" "松中"
28 "20_01" "西砂町二丁目"
29 "20_02" "西砂町二丁目"
30 "21_01" "西砂小東"
31 "21_02" "西砂小東"
32 "22_01" "西武立川駅西"
33 "22_02" "西武立川駅西"
34 "23_01" "西武立川駅南口"
35 "24_01" "美堀橋"
36 "24_02" "美堀橋"
37 "25_01" "昭島代官山"
38 "25_02" "昭島代官山"
39 "26_01" "昭島駅北口"
40 "27_01" "松中団地"
41 "27_02" "松中団地"
42 "28_01" "天王橋団地"
43 "28_02" "天王橋団地"
44 "29_01" "武蔵砂川駅"
45 "3_01" "松中団地北"
46 "3_02" "松中団地北"
47 "30_01" "砂川町八丁目南"
48 "31_01" "東航通り"
49 "32_01" "砂川町七丁目"
50 "33_01" "砂川公園前"
51 "34_01" "玉川上水駅"
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.
"trips.txt" "jp_trip_desc" 9
"trips.txt" "jp_pattern_id" 10