GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T21:07:08Z,
for the dataset file:///shared/shisocity-shitanbus-wingshinki.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
宍粟市
Feed Email:
machizukuri-ka@city.shiso.lg.jp
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. transfers.txt
  12. translations.txt
  13. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 17
  • Shapes: 73
  • Stops: 494
  • Trips: 169

Specification Compliance report

6831 notices reported (0 errors, 6829 warnings, 2 infos)

Notice Code Severity Total
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 29

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" "しーたんバス 循環線" 2
"routes.txt" "route_long_name" "しーたんバス 土万線" 3
"routes.txt" "route_long_name" "しーたんバス 塩田線" 4
"routes.txt" "route_long_name" "しーたんバス 染河内川西線" 5
"routes.txt" "route_long_name" "しーたんバス 下三方線" 6
"routes.txt" "route_long_name" "しーたんバス 戸倉線(飯見経由)" 7
"routes.txt" "route_long_name" "しーたんバス 戸倉線(音水経由)" 8
"routes.txt" "route_long_name" "しーたんバス 谷今市線" 9
"routes.txt" "route_long_name" "しーたんバス 水谷線" 10
"routes.txt" "route_long_name" "しーたんバス 奥西山七野線" 11
"routes.txt" "route_long_name" "しーたんバス 鷹巣線" 12
"routes.txt" "route_long_name" "しーたんバス 戸原線" 13
"routes.txt" "route_long_name" "しーたんバス 城下線" 14
"routes.txt" "route_long_name" "しーたんバス 梯河東線(三谷経由)" 15
"routes.txt" "route_long_name" "しーたんバス 梯河東線(三谷経由無し)" 16
"routes.txt" "route_long_name" "しーたんバス 与位河東線(三谷経由)" 17
"routes.txt" "route_long_name" "しーたんバス 与位河東線(三谷経由無し)" 18
"stops.txt" "stop_name" "はがてらす(波賀市民協働センター)" 306
"trips.txt" "trip_headsign" "戸倉(戸倉線)" 129
"trips.txt" "trip_headsign" "戸倉(戸倉線)" 130
"trips.txt" "trip_headsign" "戸倉(戸倉線)" 137
"trips.txt" "trip_headsign" "戸倉(戸倉線)" 138
"trips.txt" "trip_headsign" "戸倉(戸倉線)" 139
"trips.txt" "trip_headsign" "戸倉(戸倉線)" 140
"trips.txt" "trip_headsign" "上垣内(谷今市線)" 144
"trips.txt" "trip_headsign" "上垣内(谷今市線)" 145
"trips.txt" "trip_headsign" "上垣内(谷今市線)" 146
"trips.txt" "trip_headsign" "土井(鷹巣線)" 169
"trips.txt" "trip_headsign" "土井(鷹巣線)" 170
non_ascii_or_non_printable_char WARNING 6799

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 6799 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" "全日"
"calendar.txt" 3 "service_id" "平日"
"calendar.txt" 4 "service_id" "土曜"
"calendar.txt" 5 "service_id" "土日祝"
"calendar.txt" 6 "service_id" "平日(冬季)"
"calendar.txt" 7 "service_id" "平日(夏季)"
"calendar.txt" 8 "service_id" "火曜"
"calendar.txt" 9 "service_id" "金曜"
"calendar.txt" 10 "service_id" "月木"
"calendar.txt" 11 "service_id" "水"
"calendar.txt" 12 "service_id" "月水"
"calendar.txt" 13 "service_id" "火金"
"calendar.txt" 14 "service_id" "月水金"
"calendar.txt" 15 "service_id" "火木"
"calendar.txt" 16 "service_id" "月火水金"
"calendar.txt" 17 "service_id" "水曜(夏季)"
"calendar.txt" 18 "service_id" "水曜(冬季)"
"calendar.txt" 19 "service_id" "月火木金(夏季)"
"calendar.txt" 20 "service_id" "月火木金(冬季)"
"calendar.txt" 21 "service_id" "月火水金(夏季)"
"calendar.txt" 22 "service_id" "月火水金(冬季)"
"calendar.txt" 23 "service_id" "火木(夏季)"
"calendar.txt" 24 "service_id" "火木(冬季)"
"calendar.txt" 25 "service_id" "土祝"
"calendar_dates.txt" 2 "service_id" "火金"
"calendar_dates.txt" 3 "service_id" "火金"
"calendar_dates.txt" 4 "service_id" "火金"
"calendar_dates.txt" 5 "service_id" "火金"
"calendar_dates.txt" 6 "service_id" "火金"
"calendar_dates.txt" 7 "service_id" "火金"
"calendar_dates.txt" 8 "service_id" "火金"
"calendar_dates.txt" 9 "service_id" "火金"
"calendar_dates.txt" 10 "service_id" "火金"
"calendar_dates.txt" 11 "service_id" "火金"
"calendar_dates.txt" 12 "service_id" "火金"
"calendar_dates.txt" 13 "service_id" "火金"
"calendar_dates.txt" 14 "service_id" "火金"
"calendar_dates.txt" 15 "service_id" "火木"
"calendar_dates.txt" 16 "service_id" "火木"
"calendar_dates.txt" 17 "service_id" "火木"
"calendar_dates.txt" 18 "service_id" "火木"
"calendar_dates.txt" 19 "service_id" "火木"
"calendar_dates.txt" 20 "service_id" "火木"
"calendar_dates.txt" 21 "service_id" "火木"
"calendar_dates.txt" 22 "service_id" "火木"
"calendar_dates.txt" 23 "service_id" "火木"
"calendar_dates.txt" 24 "service_id" "火木"
"calendar_dates.txt" 25 "service_id" "火木"
"calendar_dates.txt" 26 "service_id" "火木"
"calendar_dates.txt" 27 "service_id" "火木(夏季)"
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