pref-wakayama-lg-jp-6 — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-23T22:23:39Z,
for the dataset file:///shared/pref-wakayama-lg-jp-6_eba3e3df.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
南海りんかんバス
Publisher URL:
http://www.rinkan.co.jp/
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-03-28
Feed End Date:
2027-03-31

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: 14
  • Shapes: 18
  • Stops: 68
  • Trips: 174

Specification Compliance report

3884 notices reported (0 errors, 3871 warnings, 13 infos)

Notice Code Severity Total
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 51

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 51 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.
"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"
"fare_attributes.txt" 49 "agency_id"
"fare_attributes.txt" 50 "agency_id"
"fare_attributes.txt" 51 "agency_id"
mixed_case_recommended_field WARNING 84

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.

Only the first 50 of 84 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 15
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 16
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 17
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 18
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 19
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 20
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 21
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 22
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 23
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 24
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 25
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 26
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 27
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 28
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 29
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 30
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 31
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 32
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 33
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 34
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 35
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 36
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 37
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 38
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 39
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 40
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 41
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 42
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 43
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 44
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 45
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 46
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 47
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 48
"trips.txt" "trip_headsign" "一の橋口経由 奥の院前" 49
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 115
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 116
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 117
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 118
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 119
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 120
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 121
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 122
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 123
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 124
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 125
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 126
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 127
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 128
"trips.txt" "trip_headsign" "奥の院口経由 奥の院前" 129
non_ascii_or_non_printable_char WARNING 3735

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 3735 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" "2土日祝_09時46分_系統111001"
"trips.txt" 2 "service_id" "土日祝"
"trips.txt" 3 "trip_id" "2土日祝_12時12分_系統112001"
"trips.txt" 3 "service_id" "土日祝"
"trips.txt" 4 "trip_id" "3聖地巡礼_09時36分_系統121001"
"trips.txt" 4 "service_id" "聖地巡礼"
"trips.txt" 5 "trip_id" "3聖地巡礼_11時05分_系統122001"
"trips.txt" 5 "service_id" "聖地巡礼"
"trips.txt" 6 "trip_id" "1平日_07時50分_系統211001"
"trips.txt" 6 "service_id" "平日"
"trips.txt" 7 "trip_id" "1平日_08時22分_系統212001"
"trips.txt" 7 "service_id" "平日"
"trips.txt" 8 "trip_id" "1平日_20時53分_系統311001"
"trips.txt" 8 "service_id" "平日"
"trips.txt" 9 "trip_id" "1平日_21時46分_系統311001"
"trips.txt" 9 "service_id" "平日"
"trips.txt" 10 "trip_id" "2土日祝_20時52分_系統311001"
"trips.txt" 10 "service_id" "土日祝"
"trips.txt" 11 "trip_id" "2土日祝_21時45分_系統311001"
"trips.txt" 11 "service_id" "土日祝"
"trips.txt" 12 "trip_id" "1平日_21時15分_系統312001"
"trips.txt" 12 "service_id" "平日"
"trips.txt" 13 "trip_id" "2土日祝_21時10分_系統312001"
"trips.txt" 13 "service_id" "土日祝"
"trips.txt" 14 "trip_id" "2土日祝_13時15分_系統321001"
"trips.txt" 14 "service_id" "土日祝"
"trips.txt" 15 "trip_id" "2土日祝_13時38分_系統322001"
"trips.txt" 15 "service_id" "土日祝"
"trips.txt" 16 "trip_id" "1平日_06時35分_系統411001"
"trips.txt" 16 "service_id" "平日"
"trips.txt" 17 "trip_id" "1平日_06時59分_系統411001"
"trips.txt" 17 "service_id" "平日"
"trips.txt" 18 "trip_id" "1平日_07時33分_系統411001"
"trips.txt" 18 "service_id" "平日"
"trips.txt" 19 "trip_id" "1平日_08時21分_系統411001"
"trips.txt" 19 "service_id" "平日"
"trips.txt" 20 "trip_id" "1平日_08時45分_系統411001"
"trips.txt" 20 "service_id" "平日"
"trips.txt" 21 "trip_id" "1平日_14時41分_系統411001"
"trips.txt" 21 "service_id" "平日"
"trips.txt" 22 "trip_id" "1平日_15時15分_系統411001"
"trips.txt" 22 "service_id" "平日"
"trips.txt" 23 "trip_id" "1平日_15時35分_系統411001"
"trips.txt" 23 "service_id" "平日"
"trips.txt" 24 "trip_id" "1平日_16時08分_系統411001"
"trips.txt" 24 "service_id" "平日"
"trips.txt" 25 "trip_id" "1平日_16時34分_系統411001"
"trips.txt" 25 "service_id" "平日"
"trips.txt" 26 "trip_id" "1平日_17時42分_系統411001"
"trips.txt" 26 "service_id" "平日"
platform_without_parent_station INFO 11

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.
2 "1_01" "高野山駅前"
3 "1_02" "高野山駅前"
4 "1_03" "高野山駅前"
5 "1_04" "高野山駅前"
10 "12_01" "玉川通り"
11 "12_02" "玉川通り"
12 "12_03" "玉川通り"
23 "18_01" "愛宕前"
24 "18_02" "愛宕前"
25 "18_03" "愛宕前"
26 "18_04" "愛宕前"
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