GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T21:53:44Z,
for the dataset file:///shared/bus-kagoshimacity-kagoshima-jp.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
鹿児島市交通局(バス)
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2024-01-15
Feed End Date:
2024-12-31

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. translations.txt
  11. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 36
  • Shapes: 0
  • Stops: 515
  • Trips: 1997

Specification Compliance report

120131 notices reported (0 errors, 120126 warnings, 5 infos)

Notice Code Severity Total
expired_calendar WARNING 7

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "0_平日運行"
3 "1_土曜運行"
4 "2_日祝運行"
5 "3_毎日運行"
6 "6_シティビュー夜景運行(12月〜1月)"
7 "8_シティビュー夜景運行(2月~3月)"
8 "9_シティビュー夜景運行(4月~11月)"
feed_expiration_date7_days WARNING 1

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20251205" "20241231" "20251212"
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 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"
missing_timepoint_value WARNING 57320

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 57320 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "1002_平日運行_0708_1031" 1
3 "1002_平日運行_0708_1031" 2
4 "1002_平日運行_0708_1031" 3
5 "1002_平日運行_0708_1031" 4
6 "1002_平日運行_0708_1031" 5
7 "1002_平日運行_0708_1031" 6
8 "1002_平日運行_0708_1031" 7
9 "1002_平日運行_0708_1031" 8
10 "1002_平日運行_0708_1031" 9
11 "1002_平日運行_0708_1031" 10
12 "1002_平日運行_0708_1031" 11
13 "1002_平日運行_0708_1031" 12
14 "1002_平日運行_0708_1031" 13
15 "1002_平日運行_0708_1031" 14
16 "1002_平日運行_0708_1031" 15
17 "1002_平日運行_0708_1031" 16
18 "1002_平日運行_0708_1031" 17
19 "1002_平日運行_0708_1031" 18
20 "1002_平日運行_0708_1031" 19
21 "1002_平日運行_0708_1031" 20
22 "1002_平日運行_0708_1031" 21
23 "1002_平日運行_0708_1031" 22
24 "1002_平日運行_0708_1031" 23
25 "1002_平日運行_0750_1002" 1
26 "1002_平日運行_0750_1002" 2
27 "1002_平日運行_0750_1002" 3
28 "1002_平日運行_0750_1002" 4
29 "1002_平日運行_0750_1002" 5
30 "1002_平日運行_0750_1002" 6
31 "1002_平日運行_0750_1002" 7
32 "1002_平日運行_0750_1002" 8
33 "1002_平日運行_0750_1002" 9
34 "1002_平日運行_0750_1002" 10
35 "1002_平日運行_0750_1002" 11
36 "1002_平日運行_0750_1002" 12
37 "1002_平日運行_0750_1002" 13
38 "1002_平日運行_0750_1002" 14
39 "1002_平日運行_0750_1002" 15
40 "1002_平日運行_0750_1002" 16
41 "1002_平日運行_0750_1002" 17
42 "1002_平日運行_0750_1002" 18
43 "1002_平日運行_0750_1002" 19
44 "1002_平日運行_1735_1031" 1
45 "1002_平日運行_1735_1031" 2
46 "1002_平日運行_1735_1031" 3
47 "1002_平日運行_1735_1031" 4
48 "1002_平日運行_1735_1031" 5
49 "1002_平日運行_1735_1031" 6
50 "1002_平日運行_1735_1031" 7
51 "1002_平日運行_1735_1031" 8
mixed_case_recommended_field WARNING 1437

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 1437 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.
"agency.txt" "agency_name" "鹿児島市交通局(バス)" 2
"routes.txt" "route_long_name" "市 10番線 高齢者福祉センター伊敷~中央高校前~鴨池港" 2
"routes.txt" "route_long_name" "市 1番線 交通局北営業所前~伊敷ニュータウン~市役所前" 3
"routes.txt" "route_long_name" "市 11番線 高齢者福祉センター伊敷~鴨池港(竪馬場経由)" 4
"routes.txt" "route_long_name" "市 1-2番線 交通局北営業所前~伊敷ニュータウン~鹿児島中央駅" 5
"routes.txt" "route_long_name" "市 11-2番線 鴨池港~県庁西~栄町" 6
"routes.txt" "route_long_name" "市 12番線 栄町~県庁~三和町" 7
"routes.txt" "route_long_name" "市 14番線 谷山電停~慈眼寺団地" 8
"routes.txt" "route_long_name" "市 16番線 水族館前~中央駅~市民文化ホール~鴨池港" 9
"routes.txt" "route_long_name" "市 17番線 広木農協前~脇田電停~広木農協前(循環)" 10
"routes.txt" "route_long_name" "市 18番線 脇田電停~桜ヶ丘南~脇田電停(循環)" 11
"routes.txt" "route_long_name" "市 20番線 鴨池港~中央駅~緑ヶ丘団地" 12
"routes.txt" "route_long_name" "市 24番線 水族館前~緑ヶ丘団地" 13
"routes.txt" "route_long_name" "市 24-2番線 市役所前~伊敷団地(西伊敷二丁目経由)" 14
"routes.txt" "route_long_name" "市 27番線 鹿児島中央駅~与次郎一丁目(厚生連病院前)~鹿児島中央駅" 15
"routes.txt" "route_long_name" "市 28番線 鴨池港~伊敷団地" 16
"routes.txt" "route_long_name" "市 29番線 鴨池港~伊敷ニュータウン~交通局北営業所前" 17
"routes.txt" "route_long_name" "市 3→5番線 交通局北営業所前~玉里団地中央~坂元郵便局前~竪馬場~市役所前~鹿児島中央駅~日当平住宅~交通局北営業所前" 18
"routes.txt" "route_long_name" "市 31番線 三和町~交通局北営業所前" 19
"routes.txt" "route_long_name" "市 32番線 高齢者福祉センター伊敷~城山トンネル~三和町" 20
"routes.txt" "route_long_name" "市 4→8番線 交通局北営業所前~城山団地中央~鹿児島中央駅~女子高校前~交通局北営業所前" 21
"routes.txt" "route_long_name" "市 51番線 鹿児島中央駅~薩摩団地~伊敷ニュータウン中央" 22
"routes.txt" "route_long_name" "市 5→3番線 交通局北営業所前~日当平住宅~中央駅~市役所前~竪馬場~坂元郵便局前~玉里団地中央~交通局北営業所前" 23
"routes.txt" "route_long_name" "市 5-3番線 市役所前~城山団地~さつま団地~玉里団地北~交通局北営業所前" 24
"routes.txt" "route_long_name" "市 60番線 桜島港~東白浜~塩屋ヶ元" 25
"routes.txt" "route_long_name" "市 60番線 福祉センター~桜島支所~東白浜" 26
"routes.txt" "route_long_name" "市 60番線 桜島病院前~桜島支所~東白浜" 27
"routes.txt" "route_long_name" "市 60番線 桜島港~桜島支所~東白浜" 28
"routes.txt" "route_long_name" "市 60番線 桜島苑~桜島支所~東白浜" 29
"routes.txt" "route_long_name" "市 60番線 桜島病院~桜島港" 30
"routes.txt" "route_long_name" "市 70番線 東白浜~黒神口" 31
"routes.txt" "route_long_name" "市 8-2番線 鹿児島中央駅~女子高校前~交通局北営業所前" 32
"routes.txt" "route_long_name" "市 8→4番線 交通局北営業所前~女子高校前~鹿児島中央駅~城山団地中央~交通局北営業所前" 33
"routes.txt" "route_long_name" "市 カゴシマシティビュー(夜景コース)" 34
"routes.txt" "route_long_name" "市 サクラジマアイランドビュー(砂防センター経由)" 36
"routes.txt" "route_long_name" "市 カゴシマシティビュー(中央駅~仙巌園~中央駅)" 37
"stops.txt" "stop_name" "鹿児島駅(かんまちあ)前(シティビュー)" 34
"stops.txt" "stop_name" "県庁前(鹿児島市)" 57
"stops.txt" "stop_name" "県庁前(鹿児島市)" 58
"stops.txt" "stop_name" "県庁前(鹿児島市)" 59
"stops.txt" "stop_name" "県庁前(鹿児島市)" 60
"stops.txt" "stop_name" "県庁前(鹿児島市)" 61
"stops.txt" "stop_name" "烏島展望所(アイランド)" 143
"stops.txt" "stop_name" "市役所前(鹿児島市)" 182
"stops.txt" "stop_name" "市役所前(鹿児島市)" 183
"stops.txt" "stop_name" "市役所前(鹿児島市)" 184
"stops.txt" "stop_name" "市役所前(鹿児島市)" 185
"stops.txt" "stop_name" "市役所前(鹿児島市)" 186
"stops.txt" "stop_name" "市役所前(鹿児島市)" 187
"stops.txt" "stop_name" "西郷洞窟前(シティビュー城山向け)" 264
non_ascii_or_non_printable_char WARNING 61358

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 61358 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_dates.txt" 2 "service_id" "0_平日運行"
"calendar_dates.txt" 3 "service_id" "0_平日運行"
"calendar_dates.txt" 4 "service_id" "0_平日運行"
"calendar_dates.txt" 5 "service_id" "0_平日運行"
"calendar_dates.txt" 6 "service_id" "0_平日運行"
"calendar_dates.txt" 7 "service_id" "0_平日運行"
"calendar_dates.txt" 8 "service_id" "0_平日運行"
"calendar_dates.txt" 9 "service_id" "0_平日運行"
"calendar_dates.txt" 10 "service_id" "0_平日運行"
"calendar_dates.txt" 11 "service_id" "0_平日運行"
"calendar_dates.txt" 12 "service_id" "0_平日運行"
"calendar_dates.txt" 13 "service_id" "0_平日運行"
"calendar_dates.txt" 14 "service_id" "0_平日運行"
"calendar_dates.txt" 15 "service_id" "0_平日運行"
"calendar_dates.txt" 16 "service_id" "1_土曜運行"
"calendar_dates.txt" 17 "service_id" "1_土曜運行"
"calendar_dates.txt" 18 "service_id" "2_日祝運行"
"calendar_dates.txt" 19 "service_id" "2_日祝運行"
"calendar_dates.txt" 20 "service_id" "2_日祝運行"
"calendar_dates.txt" 21 "service_id" "2_日祝運行"
"calendar_dates.txt" 22 "service_id" "2_日祝運行"
"calendar_dates.txt" 23 "service_id" "2_日祝運行"
"calendar_dates.txt" 24 "service_id" "2_日祝運行"
"calendar_dates.txt" 25 "service_id" "2_日祝運行"
"calendar_dates.txt" 26 "service_id" "2_日祝運行"
"calendar_dates.txt" 27 "service_id" "2_日祝運行"
"calendar_dates.txt" 28 "service_id" "2_日祝運行"
"calendar_dates.txt" 29 "service_id" "2_日祝運行"
"calendar_dates.txt" 30 "service_id" "2_日祝運行"
"calendar_dates.txt" 31 "service_id" "2_日祝運行"
"calendar_dates.txt" 32 "service_id" "2_日祝運行"
"calendar_dates.txt" 33 "service_id" "2_日祝運行"
"calendar_dates.txt" 34 "service_id" "9_シティビュー夜景運行(4月~11月)"
"calendar_dates.txt" 35 "service_id" "9_シティビュー夜景運行(4月~11月)"
"calendar_dates.txt" 36 "service_id" "9_シティビュー夜景運行(4月~11月)"
"calendar_dates.txt" 37 "service_id" "9_シティビュー夜景運行(4月~11月)"
"calendar_dates.txt" 38 "service_id" "9_シティビュー夜景運行(4月~11月)"
"calendar.txt" 2 "service_id" "0_平日運行"
"calendar.txt" 3 "service_id" "1_土曜運行"
"calendar.txt" 4 "service_id" "2_日祝運行"
"calendar.txt" 5 "service_id" "3_毎日運行"
"calendar.txt" 6 "service_id" "6_シティビュー夜景運行(12月〜1月)"
"calendar.txt" 7 "service_id" "8_シティビュー夜景運行(2月~3月)"
"calendar.txt" 8 "service_id" "9_シティビュー夜景運行(4月~11月)"
"stop_times.txt" 2 "trip_id" "1002_平日運行_0708_1031"
"stop_times.txt" 3 "trip_id" "1002_平日運行_0708_1031"
"stop_times.txt" 4 "trip_id" "1002_平日運行_0708_1031"
"stop_times.txt" 5 "trip_id" "1002_平日運行_0708_1031"
"stop_times.txt" 6 "trip_id" "1002_平日運行_0708_1031"
"stop_times.txt" 7 "trip_id" "1002_平日運行_0708_1031"
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20251205" "20240115" "20241231"
unknown_column INFO 5

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.
"routes.txt" "jp_parent_route_id" 10
"trips.txt" "jp_trip_desc" 11
"trips.txt" "jp_trip_desc_symbol" 12
"trips.txt" "jp_office_id" 13
"trips.txt" "jp_pattern_id" 14