GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T17:09:25Z,
for the dataset file:///shared/sorachi-chuo-bus.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:
2025-12-01
Feed End Date:
2026-05-31

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. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 6
  • Shapes: 0
  • Stops: 303
  • Trips: 57

Specification Compliance report

161 notices reported (0 errors, 161 warnings, 0 infos)

Notice Code Severity Total
missing_recommended_field WARNING 67

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 67 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 94

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 94 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.
"stops.txt" "stop_name" "北光町1丁目" 15
"stops.txt" "stop_name" "北光町1丁目" 16
"stops.txt" "stop_name" "北光町2丁目" 17
"stops.txt" "stop_name" "北光町2丁目" 18
"stops.txt" "stop_name" "北光町3丁目" 19
"stops.txt" "stop_name" "北光町3丁目" 20
"stops.txt" "stop_name" "一已4丁目線" 25
"stops.txt" "stop_name" "一已4丁目線" 26
"stops.txt" "stop_name" "ちっぷゆう&ゆ入口" 41
"stops.txt" "stop_name" "ちっぷゆう&ゆ入口" 42
"stops.txt" "stop_name" "2条3丁目" 47
"stops.txt" "stop_name" "2条3丁目" 48
"stops.txt" "stop_name" "3条3丁目" 49
"stops.txt" "stop_name" "3条3丁目" 50
"stops.txt" "stop_name" "4条3丁目" 51
"stops.txt" "stop_name" "4条3丁目" 52
"stops.txt" "stop_name" "5条3丁目" 53
"stops.txt" "stop_name" "5条3丁目" 54
"stops.txt" "stop_name" "6条3丁目" 55
"stops.txt" "stop_name" "6条3丁目" 56
"stops.txt" "stop_name" "7条3丁目" 57
"stops.txt" "stop_name" "7条3丁目" 58
"stops.txt" "stop_name" "8条3丁目" 59
"stops.txt" "stop_name" "8条3丁目" 60
"stops.txt" "stop_name" "朝日町西1丁目" 80
"stops.txt" "stop_name" "朝日町西1丁目" 81
"stops.txt" "stop_name" "朝日町西3丁目" 82
"stops.txt" "stop_name" "朝日町西3丁目" 83
"stops.txt" "stop_name" "黄金町西1丁目" 84
"stops.txt" "stop_name" "黄金町西1丁目" 85
"stops.txt" "stop_name" "黄金町西3丁目" 86
"stops.txt" "stop_name" "黄金町西3丁目" 87
"stops.txt" "stop_name" "滝の川町西4丁目" 94
"stops.txt" "stop_name" "滝の川町西4丁目" 95
"stops.txt" "stop_name" "滝の川町西6丁目" 96
"stops.txt" "stop_name" "滝の川町西6丁目" 97
"stops.txt" "stop_name" "屯田町西1丁目" 98
"stops.txt" "stop_name" "屯田町西1丁目" 99
"stops.txt" "stop_name" "屯田町西4丁目" 100
"stops.txt" "stop_name" "屯田町西4丁目" 101
"stops.txt" "stop_name" "8丁目" 104
"stops.txt" "stop_name" "8丁目" 105
"stops.txt" "stop_name" "9丁目" 106
"stops.txt" "stop_name" "9丁目" 107
"stops.txt" "stop_name" "江部乙町西10丁目" 108
"stops.txt" "stop_name" "江部乙町西10丁目" 109
"stops.txt" "stop_name" "江部乙町西11丁目" 110
"stops.txt" "stop_name" "江部乙町西11丁目" 111
"stops.txt" "stop_name" "江部乙町西12丁目" 114
"stops.txt" "stop_name" "江部乙町西12丁目" 115