GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T21:00:32Z,
for the dataset file:///shared/yatsuocommunitybus.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:
2025-04-01
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. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 25
  • Shapes: 36
  • Stops: 151
  • Trips: 88

Specification Compliance report

2481 notices reported (0 errors, 2481 warnings, 0 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`.
12 "101419-2C" 13 "101419-2D" "" "八尾高校線（八尾高校行き）" 3 "101419-9000020162019"
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 26

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_short_name" "八尾環状線（右回り）" 2
"routes.txt" "route_short_name" "大長谷線（正間行き）" 3
"routes.txt" "route_long_name" "大長谷線（大長谷温泉行き）" 4
"routes.txt" "route_short_name" "大長谷線（八尾駅行き）" 5
"routes.txt" "route_short_name" "桐谷・茗ケ原線（1便）" 6
"routes.txt" "route_long_name" "桐谷・茗ケ原線（2便～4便）" 7
"routes.txt" "route_short_name" "保内線（冬季便）" 8
"routes.txt" "route_short_name" "八尾環状線（左回り）" 9
"routes.txt" "route_long_name" "八尾高校線（杉原公民館行き）" 10
"routes.txt" "route_short_name" "八尾高校線（八尾駅行き）" 11
"routes.txt" "route_long_name" "八尾高校線（八尾高校行き）" 12
"routes.txt" "route_long_name" "八尾高校線（八尾高校行き）" 13
"routes.txt" "route_long_name" "杉原線（ゆうゆう館循環）右回り" 14
"routes.txt" "route_long_name" "杉原線（ゆうゆう館循環）左回り" 15
"routes.txt" "route_short_name" "保内線（右回り）" 16
"routes.txt" "route_short_name" "保内線（左回り）" 17
"routes.txt" "route_short_name" "八尾中核線（右回り）" 19
"routes.txt" "route_short_name" "八尾中核線（左回り）" 20
"routes.txt" "route_short_name" "室牧線（細滝行き）" 21
"routes.txt" "route_short_name" "室牧線（八尾駅行き）" 22
"routes.txt" "route_short_name" "野積線（西松瀬行き）" 23
"routes.txt" "route_short_name" "野積線（八尾駅行き）" 24
"routes.txt" "route_short_name" "黒瀬谷線（宮越行き）" 25
"routes.txt" "route_short_name" "黒瀬谷線（八尾駅行き）" 26
"stops.txt" "stop_name" "田中（西円寺前）" 150
"stops.txt" "stop_name" "高善寺（保内小学校前）" 152
non_ascii_or_non_printable_char WARNING 2453

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 2453 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" "101419-冬季便（保内）"
"calendar.txt" 3 "service_id" "101419-冬季便（高校）"
"calendar.txt" 4 "service_id" "101419-土曜"
"calendar.txt" 5 "service_id" "101419-平日"
"calendar.txt" 6 "service_id" "101419-月～土"
"calendar.txt" 7 "service_id" "101419-毎日"
"calendar_dates.txt" 2 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 3 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 4 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 5 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 6 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 7 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 8 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 9 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 10 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 11 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 12 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 13 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 14 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 15 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 16 "service_id" "101419-冬季便（保内）"
"calendar_dates.txt" 17 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 18 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 19 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 20 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 21 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 22 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 23 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 24 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 25 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 26 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 27 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 28 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 29 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 30 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 31 "service_id" "101419-冬季便（高校）"
"calendar_dates.txt" 32 "service_id" "101419-土曜"
"calendar_dates.txt" 33 "service_id" "101419-平日"
"calendar_dates.txt" 34 "service_id" "101419-平日"
"calendar_dates.txt" 35 "service_id" "101419-平日"
"calendar_dates.txt" 36 "service_id" "101419-平日"
"calendar_dates.txt" 37 "service_id" "101419-平日"
"calendar_dates.txt" 38 "service_id" "101419-平日"
"calendar_dates.txt" 39 "service_id" "101419-平日"
"calendar_dates.txt" 40 "service_id" "101419-平日"
"calendar_dates.txt" 41 "service_id" "101419-平日"
"calendar_dates.txt" 42 "service_id" "101419-平日"
"calendar_dates.txt" 43 "service_id" "101419-月～土"
"calendar_dates.txt" 44 "service_id" "101419-月～土"
"calendar_dates.txt" 45 "service_id" "101419-月～土"