imizushi — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-07-04T04:28:23Z,
for the dataset file:///shared/imizushi_db680050.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 Language:
Japanese
Feed Start Date:
2026-04-01
Feed End Date:
2027-03-31

Files included


  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. feed_info.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. translations.txt
  10. trips.txt

Counts


  • Agencies: 1
  • Blocks: 8
  • Routes: 29
  • Shapes: 47
  • Stops: 383
  • Trips: 124

Specification Compliance report

3875 notices reported (0 errors, 3875 warnings, 0 infos)

Notice Code Severity Total
duplicate_route_name WARNING 16

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`.
2 "101424-(12)小杉駅・金山線(12_1)" 3 "101424-(12)小杉駅・金山線(12_2)" "(12)小杉駅・金山線" "" 3 "101424-2000020162116"
4 "101424-(13)小杉駅・池多線(13_2)" 5 "101424-(13)小杉駅・池多線(13_4)" "(13)小杉駅・池多線" "" 3 "101424-2000020162116"
8 "101424-(16)小杉駅・下経由足洗線(北系統・大江)(16a_3)" 9 "101424-(16)小杉駅・下経由足洗線(北系統・大江)(16a_5)" "" "(16)小杉駅・下経由足洗線(北系統・大江)" 3 "101424-2000020162116"
10 "101424-(16)小杉駅・下経由足洗線(南系統・白石)(16b_12)" 11 "101424-(16)小杉駅・下経由足洗線(南系統・白石)(16b_13)" "" "(16)小杉駅・下経由足洗線(南系統・白石)" 3 "101424-2000020162116"
10 "101424-(16)小杉駅・下経由足洗線(南系統・白石)(16b_12)" 12 "101424-(16)小杉駅・下経由足洗線(南系統・白石)(16b_5)" "" "(16)小杉駅・下経由足洗線(南系統・白石)" 3 "101424-2000020162116"
13 "101424-(17)堀岡・片口経由小杉駅線(17_6)" 14 "101424-(17)堀岡・片口経由小杉駅線_A" "" "(17)堀岡・片口経由小杉駅線" 3 "101424-2000020162116"
15 "101424-(2)新湊・本江線(2_14)" 16 "101424-(2)新湊・本江線(2_16)" "(2)新湊・本江線" "" 3 "101424-2000020162116"
18 "101424-(5)新湊・越中大門駅線(5_13)" 19 "101424-(5)新湊・越中大門駅線(5_15)" "(5)新湊・越中大門駅線" "" 3 "101424-2000020162116"
20 "101424-(7)新湊・小杉線(7_11)" 21 "101424-(7)新湊・小杉線(7_13)" "(7)新湊・小杉線" "" 3 "101424-2000020162116"
20 "101424-(7)新湊・小杉線(7_11)" 22 "101424-(7)新湊・小杉線(7_14)" "(7)新湊・小杉線" "" 3 "101424-2000020162116"
20 "101424-(7)新湊・小杉線(7_11)" 23 "101424-(7)新湊・小杉線(7_17)" "(7)新湊・小杉線" "" 3 "101424-2000020162116"
20 "101424-(7)新湊・小杉線(7_11)" 24 "101424-(7)新湊・小杉線(7_3b)" "(7)新湊・小杉線" "" 3 "101424-2000020162116"
20 "101424-(7)新湊・小杉線(7_11)" 25 "101424-(7)新湊・小杉線_A" "(7)新湊・小杉線" "" 3 "101424-2000020162116"
26 "101424-(8)小杉駅・大島中央循環線(8_6)" 27 "101424-(8)小杉駅・大島中央循環線(8_7)" "" "(8)小杉駅・大島中央循環線" 3 "101424-2000020162116"
28 "101424-(9)大門循環線(9_1)" 29 "101424-(9)大門循環線(9_2)" "(9)大門循環線" "" 3 "101424-2000020162116"
28 "101424-(9)大門循環線(9_1)" 30 "101424-(9)大門循環線(9_4)" "(9)大門循環線" "" 3 "101424-2000020162116"
mixed_case_recommended_field WARNING 171

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 171 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.
"routes.txt" "route_short_name" "(12)小杉駅・金山線" 2
"routes.txt" "route_short_name" "(12)小杉駅・金山線" 3
"routes.txt" "route_short_name" "(13)小杉駅・池多線" 4
"routes.txt" "route_short_name" "(13)小杉駅・池多線" 5
"routes.txt" "route_long_name" "(14)小杉駅・太閤山循環線" 6
"routes.txt" "route_short_name" "(15)歌の森小学校線" 7
"routes.txt" "route_long_name" "(16)小杉駅・下経由足洗線(北系統・大江)" 8
"routes.txt" "route_long_name" "(16)小杉駅・下経由足洗線(北系統・大江)" 9
"routes.txt" "route_long_name" "(16)小杉駅・下経由足洗線(南系統・白石)" 10
"routes.txt" "route_long_name" "(16)小杉駅・下経由足洗線(南系統・白石)" 11
"routes.txt" "route_long_name" "(16)小杉駅・下経由足洗線(南系統・白石)" 12
"routes.txt" "route_long_name" "(17)堀岡・片口経由小杉駅線" 13
"routes.txt" "route_long_name" "(17)堀岡・片口経由小杉駅線" 14
"routes.txt" "route_short_name" "(2)新湊・本江線" 15
"routes.txt" "route_short_name" "(2)新湊・本江線" 16
"routes.txt" "route_short_name" "(4)新湊南部中学校線" 17
"routes.txt" "route_short_name" "(5)新湊・越中大門駅線" 18
"routes.txt" "route_short_name" "(5)新湊・越中大門駅線" 19
"routes.txt" "route_short_name" "(7)新湊・小杉線" 20
"routes.txt" "route_short_name" "(7)新湊・小杉線" 21
"routes.txt" "route_short_name" "(7)新湊・小杉線" 22
"routes.txt" "route_short_name" "(7)新湊・小杉線" 23
"routes.txt" "route_short_name" "(7)新湊・小杉線" 24
"routes.txt" "route_short_name" "(7)新湊・小杉線" 25
"routes.txt" "route_long_name" "(8)小杉駅・大島中央循環線" 26
"routes.txt" "route_long_name" "(8)小杉駅・大島中央循環線" 27
"routes.txt" "route_short_name" "(9)大門循環線" 28
"routes.txt" "route_short_name" "(9)大門循環線" 29
"routes.txt" "route_short_name" "(9)大門循環線" 30
"stops.txt" "stop_name" "太閤山1丁目" 36
"stops.txt" "stop_name" "南太閤山14丁目" 214
"stops.txt" "stop_name" "南太閤山14丁目" 215
"stops.txt" "stop_name" "南太閤山12丁目" 225
"stops.txt" "stop_name" "太閤山10丁目" 226
"stops.txt" "stop_name" "太閤山9丁目" 227
"stops.txt" "stop_name" "中太閤山3丁目" 231
"stops.txt" "stop_name" "中太閤山4丁目" 232
"stops.txt" "stop_name" "中太閤山7丁目" 233
"stops.txt" "stop_name" "中太閤山9丁目" 234
"stops.txt" "stop_name" "東太閤山4丁目" 242
"stops.txt" "stop_name" "東太閤山3丁目" 243
"stops.txt" "stop_name" "駅南通り1丁目" 249
"stops.txt" "stop_name" "駅南通り1丁目" 250
"stops.txt" "stop_name" "本町3丁目" 288
"stops.txt" "stop_name" "本町3丁目" 289
"stops.txt" "stop_name" "中太閤山6丁目" 322
"stops.txt" "stop_name" "太閤山3丁目" 329
"stops.txt" "stop_name" "太閤山3丁目" 330
"stops.txt" "stop_name" "中太閤山16丁目" 334
"stops.txt" "stop_name" "太閤山6丁目" 352
non_ascii_or_non_printable_char WARNING 3688

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 3688 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" "101424-土日祝"
"calendar.txt" 3 "service_id" "101424-平日"
"calendar_dates.txt" 2 "service_id" "101424-冬"
"calendar_dates.txt" 3 "service_id" "101424-冬"
"calendar_dates.txt" 4 "service_id" "101424-冬"
"calendar_dates.txt" 5 "service_id" "101424-冬"
"calendar_dates.txt" 6 "service_id" "101424-冬"
"calendar_dates.txt" 7 "service_id" "101424-冬"
"calendar_dates.txt" 8 "service_id" "101424-冬"
"calendar_dates.txt" 9 "service_id" "101424-冬"
"calendar_dates.txt" 10 "service_id" "101424-冬"
"calendar_dates.txt" 11 "service_id" "101424-冬"
"calendar_dates.txt" 12 "service_id" "101424-冬"
"calendar_dates.txt" 13 "service_id" "101424-冬"
"calendar_dates.txt" 14 "service_id" "101424-冬"
"calendar_dates.txt" 15 "service_id" "101424-冬"
"calendar_dates.txt" 16 "service_id" "101424-冬"
"calendar_dates.txt" 17 "service_id" "101424-冬"
"calendar_dates.txt" 18 "service_id" "101424-冬"
"calendar_dates.txt" 19 "service_id" "101424-冬"
"calendar_dates.txt" 20 "service_id" "101424-冬"
"calendar_dates.txt" 21 "service_id" "101424-冬"
"calendar_dates.txt" 22 "service_id" "101424-冬"
"calendar_dates.txt" 23 "service_id" "101424-冬"
"calendar_dates.txt" 24 "service_id" "101424-冬"
"calendar_dates.txt" 25 "service_id" "101424-冬"
"calendar_dates.txt" 26 "service_id" "101424-冬"
"calendar_dates.txt" 27 "service_id" "101424-冬"
"calendar_dates.txt" 28 "service_id" "101424-冬"
"calendar_dates.txt" 29 "service_id" "101424-冬"
"calendar_dates.txt" 30 "service_id" "101424-冬"
"calendar_dates.txt" 31 "service_id" "101424-冬"
"calendar_dates.txt" 32 "service_id" "101424-冬"
"calendar_dates.txt" 33 "service_id" "101424-冬"
"calendar_dates.txt" 34 "service_id" "101424-冬"
"calendar_dates.txt" 35 "service_id" "101424-冬"
"calendar_dates.txt" 36 "service_id" "101424-冬"
"calendar_dates.txt" 37 "service_id" "101424-冬"
"calendar_dates.txt" 38 "service_id" "101424-冬"
"calendar_dates.txt" 39 "service_id" "101424-冬"
"calendar_dates.txt" 40 "service_id" "101424-冬"
"calendar_dates.txt" 41 "service_id" "101424-冬"
"calendar_dates.txt" 42 "service_id" "101424-冬"
"calendar_dates.txt" 43 "service_id" "101424-冬"
"calendar_dates.txt" 44 "service_id" "101424-冬"
"calendar_dates.txt" 45 "service_id" "101424-冬"
"calendar_dates.txt" 46 "service_id" "101424-冬"
"calendar_dates.txt" 47 "service_id" "101424-冬"
"calendar_dates.txt" 48 "service_id" "101424-冬"
"calendar_dates.txt" 49 "service_id" "101424-冬"