GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T17:34:38Z,
for the dataset file:///shared/enacity-communitybus.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:
2025-10-01
Feed End Date:
2026-09-30

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. translations.txt
  12. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 23
  • Shapes: 97
  • Stops: 364
  • Trips: 222

Specification Compliance report

5502 notices reported (0 errors, 5498 warnings, 4 infos)

Notice Code Severity Total
missing_recommended_field WARNING 3

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"
mixed_case_recommended_field WARNING 30

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" "10 まちなか巡回バス" 2
"routes.txt" "route_short_name" "11 まちなか巡回バス" 3
"routes.txt" "route_short_name" "12 丸池線" 4
"routes.txt" "route_short_name" "13 中野方線" 5
"routes.txt" "route_short_name" "14 飯地線" 6
"routes.txt" "route_short_name" "15 笠置線" 7
"routes.txt" "route_short_name" "16 毛呂窪線" 8
"routes.txt" "route_short_name" "17 藤線" 9
"routes.txt" "route_short_name" "21 三郷線" 10
"routes.txt" "route_short_name" "22 大洞循環線" 11
"routes.txt" "route_short_name" "23 椋実＝武並線" 12
"routes.txt" "route_short_name" "24 小野川線" 13
"routes.txt" "route_short_name" "25 元起線" 14
"routes.txt" "route_short_name" "51 瑞浪＝山岡線" 15
"routes.txt" "route_short_name" "52 吹越線" 16
"routes.txt" "route_long_name" "61 明智まちなか線(滝坂・東山ルート)" 17
"routes.txt" "route_long_name" "62 明智まちなか線(片平ルート)" 18
"routes.txt" "route_short_name" "63 阿妻＝横通線" 19
"routes.txt" "route_short_name" "64 明智＝峰山線" 20
"routes.txt" "route_short_name" "71 串原ささゆり線" 21
"routes.txt" "route_short_name" "72 中沢線" 22
"routes.txt" "route_short_name" "73 福原線" 23
"routes.txt" "route_short_name" "81上矢作線" 24
"stops.txt" "stop_name" "東山２丁目" 115
"stops.txt" "stop_name" "道の駅ラ・フォーレ福寿の里" 169
"stops.txt" "stop_name" "森下（上矢作線）" 186
"stops.txt" "stop_name" "森下（毛呂窪線）" 187
"stops.txt" "stop_name" "東山１丁目" 262
"stops.txt" "stop_name" "東山３丁目" 263
"stops.txt" "stop_name" "明智ｂ＆Ｇ海洋センター横" 271
non_ascii_or_non_printable_char WARNING 5455

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 5455 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" "101460-土日祝（平和・明鉄）"
"calendar.txt" 3 "service_id" "101460-土日祝（東鉄）"
"calendar.txt" 4 "service_id" "101460-土曜（平和・明鉄）"
"calendar.txt" 5 "service_id" "101460-土曜（東鉄）"
"calendar.txt" 6 "service_id" "101460-平日（平和・明鉄）"
"calendar.txt" 7 "service_id" "101460-平日（東鉄）"
"calendar.txt" 8 "service_id" "101460-日祝（東鉄）"
"calendar.txt" 9 "service_id" "101460-月、水、第１・３木曜"
"calendar.txt" 10 "service_id" "101460-火、金、第２・４木曜"
"calendar_dates.txt" 2 "service_id" "101460-土日祝（平和・明鉄）"
"calendar_dates.txt" 3 "service_id" "101460-土日祝（平和・明鉄）"
"calendar_dates.txt" 4 "service_id" "101460-土日祝（平和・明鉄）"
"calendar_dates.txt" 5 "service_id" "101460-土日祝（平和・明鉄）"
"calendar_dates.txt" 6 "service_id" "101460-土日祝（平和・明鉄）"
"calendar_dates.txt" 7 "service_id" "101460-土日祝（平和・明鉄）"
"calendar_dates.txt" 8 "service_id" "101460-土日祝（平和・明鉄）"
"calendar_dates.txt" 9 "service_id" "101460-土日祝（平和・明鉄）"
"calendar_dates.txt" 10 "service_id" "101460-土日祝（平和・明鉄）"
"calendar_dates.txt" 11 "service_id" "101460-土日祝（平和・明鉄）"
"calendar_dates.txt" 12 "service_id" "101460-土日祝（平和・明鉄）"
"calendar_dates.txt" 13 "service_id" "101460-土日祝（平和・明鉄）"
"calendar_dates.txt" 14 "service_id" "101460-土日祝（平和・明鉄）"
"calendar_dates.txt" 15 "service_id" "101460-土日祝（平和・明鉄）"
"calendar_dates.txt" 16 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 17 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 18 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 19 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 20 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 21 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 22 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 23 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 24 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 25 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 26 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 27 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 28 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 29 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 30 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 31 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 32 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 33 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 34 "service_id" "101460-土日祝（東鉄）"
"calendar_dates.txt" 35 "service_id" "101460-土曜（平和・明鉄）"
"calendar_dates.txt" 36 "service_id" "101460-土曜（東鉄）"
"calendar_dates.txt" 37 "service_id" "101460-土曜（東鉄）"
"calendar_dates.txt" 38 "service_id" "101460-平日（平和・明鉄）"
"calendar_dates.txt" 39 "service_id" "101460-平日（平和・明鉄）"
"calendar_dates.txt" 40 "service_id" "101460-平日（平和・明鉄）"
"calendar_dates.txt" 41 "service_id" "101460-平日（平和・明鉄）"
"calendar_dates.txt" 42 "service_id" "101460-平日（平和・明鉄）"
stop_has_too_many_matches_for_shape WARNING 10

stop_has_too_many_matches_for_shape

Stop entry that has many potential matches to the trip's path of travel, as defined by the shape entry in shapes.txt.

This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. matchCount (?) The number of matches for the stop that is referred to.
161 "101460-621004" "101460-6火、金、第２・４木曜_16時40分_系統621004" 3779 "101460-317_01" "ゲンキー明智店" [35.30231788511451,137.3875777965219] 21
161 "101460-621004" "101460-6火、金、第２・４木曜_16時40分_系統621004" 3785 "101460-317_01" "ゲンキー明智店" [35.30231788511451,137.3875777965219] 21
161 "101460-621004" "101460-6火、金、第２・４木曜_16時40分_系統621004" 3797 "101460-317_01" "ゲンキー明智店" [35.30231788511451,137.3875777965219] 21
156 "101460-621001" "101460-6火、金、第２・４木曜_08時52分_系統621001" 3564 "101460-317_01" "ゲンキー明智店" [35.30231788511451,137.3875777965219] 21
156 "101460-621001" "101460-6火、金、第２・４木曜_08時52分_系統621001" 3576 "101460-317_01" "ゲンキー明智店" [35.30231788511451,137.3875777965219] 21
156 "101460-621001" "101460-6火、金、第２・４木曜_08時52分_系統621001" 3590 "101460-317_01" "ゲンキー明智店" [35.30231788511451,137.3875777965219] 21
158 "101460-621003" "101460-6火、金、第２・４木曜_10時09分_系統621003" 3638 "101460-317_01" "ゲンキー明智店" [35.30231788511451,137.3875777965219] 29
158 "101460-621003" "101460-6火、金、第２・４木曜_10時09分_系統621003" 3644 "101460-317_01" "ゲンキー明智店" [35.30231788511451,137.3875777965219] 29
158 "101460-621003" "101460-6火、金、第２・４木曜_10時09分_系統621003" 3656 "101460-317_01" "ゲンキー明智店" [35.30231788511451,137.3875777965219] 29
158 "101460-621003" "101460-6火、金、第２・４木曜_10時09分_系統621003" 3670 "101460-317_01" "ゲンキー明智店" [35.30231788511451,137.3875777965219] 29
platform_without_parent_station INFO 4

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.

csvRowNumber (?) Row number of the faulty record. stopId (?) The id of the faulty record. stopName (?) The stop name of the faulty record.
252 "101460-30_00" "恵那駅前"
253 "101460-30_01" "恵那駅前"
254 "101460-30_02" "恵那駅前"
255 "101460-30_03" "恵那駅前"