GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T15:29:41Z,
for the dataset file:///shared/mitake.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
御嵩町
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2024-03-18
Feed End Date:
2025-03-17

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: 2
  • Shapes: 5
  • Stops: 31
  • Trips: 17

Specification Compliance report

361 notices reported (0 errors, 359 warnings, 2 infos)

Notice Code Severity Total
expired_calendar WARNING 1

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 "平日"
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 "20260123" "20250317" "20260130"
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"
mixed_case_recommended_field WARNING 2

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_long_name" "ふれあいバス みたけ・なか線" 2
"routes.txt" "route_long_name" "ふれあいバス 工業団地・南山台線" 3
non_ascii_or_non_printable_char WARNING 324

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 324 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" "平日"
"calendar_dates.txt" 2 "service_id" "平日"
"calendar_dates.txt" 3 "service_id" "平日"
"calendar_dates.txt" 4 "service_id" "平日"
"calendar_dates.txt" 5 "service_id" "平日"
"calendar_dates.txt" 6 "service_id" "平日"
"calendar_dates.txt" 7 "service_id" "平日"
"calendar_dates.txt" 8 "service_id" "平日"
"calendar_dates.txt" 9 "service_id" "平日"
"calendar_dates.txt" 10 "service_id" "平日"
"calendar_dates.txt" 11 "service_id" "平日"
"calendar_dates.txt" 12 "service_id" "平日"
"calendar_dates.txt" 13 "service_id" "平日"
"calendar_dates.txt" 14 "service_id" "平日"
"calendar_dates.txt" 15 "service_id" "平日"
"calendar_dates.txt" 16 "service_id" "平日"
"calendar_dates.txt" 17 "service_id" "平日"
"calendar_dates.txt" 18 "service_id" "平日"
"calendar_dates.txt" 19 "service_id" "平日"
"stop_times.txt" 2 "trip_id" "1平日_06時31分_系統111001"
"stop_times.txt" 3 "trip_id" "1平日_06時31分_系統111001"
"stop_times.txt" 4 "trip_id" "1平日_06時31分_系統111001"
"stop_times.txt" 5 "trip_id" "1平日_06時31分_系統111001"
"stop_times.txt" 6 "trip_id" "1平日_06時31分_系統111001"
"stop_times.txt" 7 "trip_id" "1平日_06時31分_系統111001"
"stop_times.txt" 8 "trip_id" "1平日_06時31分_系統111001"
"stop_times.txt" 9 "trip_id" "1平日_06時31分_系統111001"
"stop_times.txt" 10 "trip_id" "1平日_06時31分_系統111001"
"stop_times.txt" 11 "trip_id" "1平日_06時31分_系統111001"
"stop_times.txt" 12 "trip_id" "1平日_06時31分_系統111001"
"stop_times.txt" 13 "trip_id" "1平日_06時31分_系統111001"
"stop_times.txt" 14 "trip_id" "1平日_06時31分_系統111001"
"stop_times.txt" 15 "trip_id" "1平日_06時31分_系統111001"
"stop_times.txt" 16 "trip_id" "1平日_07時03分_系統111001"
"stop_times.txt" 17 "trip_id" "1平日_07時03分_系統111001"
"stop_times.txt" 18 "trip_id" "1平日_07時03分_系統111001"
"stop_times.txt" 19 "trip_id" "1平日_07時03分_系統111001"
"stop_times.txt" 20 "trip_id" "1平日_07時03分_系統111001"
"stop_times.txt" 21 "trip_id" "1平日_07時03分_系統111001"
"stop_times.txt" 22 "trip_id" "1平日_07時03分_系統111001"
"stop_times.txt" 23 "trip_id" "1平日_07時03分_系統111001"
"stop_times.txt" 24 "trip_id" "1平日_07時03分_系統111001"
"stop_times.txt" 25 "trip_id" "1平日_07時03分_系統111001"
"stop_times.txt" 26 "trip_id" "1平日_07時03分_系統111001"
"stop_times.txt" 27 "trip_id" "1平日_07時03分_系統111001"
"stop_times.txt" 28 "trip_id" "1平日_07時03分_系統111001"
"stop_times.txt" 29 "trip_id" "1平日_07時03分_系統111001"
"stop_times.txt" 30 "trip_id" "1平日_07時34分_系統111001"
"stop_times.txt" 31 "trip_id" "1平日_07時34分_系統111001"
"stop_times.txt" 32 "trip_id" "1平日_07時34分_系統111001"
stop_too_far_from_shape WARNING 25

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. 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. geoDistanceToShape (?) Distance from stop to shape.
12 "111003" "1平日_17時02分_系統111002" 207 "32_01" "富士精機前" [35.422830000000005,137.139305] 665.9162659607717
12 "111003" "1平日_17時02分_系統111002" 208 "33_01" "置田鉄工所前" [35.422830000000005,137.139305] 497.16323443834796
12 "111003" "1平日_17時02分_系統111002" 209 "27_01" "東海理化NExT前" [35.420842,137.135113] 705.1344761485518
12 "111003" "1平日_17時02分_系統111002" 210 "28_01" "すかいらーく前" [35.422830000000005,137.139305] 1255.4810802370218
12 "111003" "1平日_17時02分_系統111002" 211 "29_01" "ジャパーナ前" [35.422830000000005,137.139305] 2032.6001507938554
12 "111003" "1平日_17時02分_系統111002" 212 "30_01" "東海化成工業前" [35.422830000000005,137.139305] 1518.7411987276066
12 "111003" "1平日_17時02分_系統111002" 213 "31_01" "ニチデン精機前" [35.422830000000005,137.139305] 1018.2103174253334
5 "111001" "1平日_10時28分_系統102001" 83 "11_01" "中公民館" [35.429555,137.127818] 445.50335051598006
5 "111001" "1平日_10時28分_系統102001" 84 "9_01" "名鉄御嵩口駅" [35.429555,137.127818] 639.7464320777189
5 "111001" "1平日_10時28分_系統102001" 85 "10_01" "西田" [35.429555,137.127818] 964.3441411196011
5 "111001" "1平日_10時28分_系統102001" 86 "8_01" "バロー御嵩店" [35.429555,137.127818] 1347.7447424611325
5 "111001" "1平日_10時28分_系統102001" 87 "20_01" "名鉄顔戸駅" [35.429555,137.127818] 2082.6489061062216
5 "111001" "1平日_10時28分_系統102001" 88 "19_01" "顔戸公民館" [35.429555,137.127818] 1996.7585983531644
5 "111001" "1平日_10時28分_系統102001" 89 "18_01" "あゆみ館" [35.429555,137.127818] 1820.673815509566
5 "111001" "1平日_10時28分_系統102001" 90 "15_01" "大庭台第四集会所南" [35.42960800000001,137.127926] 1749.2272338147714
5 "111001" "1平日_10時28分_系統102001" 91 "16_01" "大庭台第三集会所西" [35.42960800000001,137.127926] 1851.9329553564587
5 "111001" "1平日_10時28分_系統102001" 92 "13_01" "大庭台花壇" [35.42960800000001,137.127926] 1574.719831191127
5 "111001" "1平日_10時28分_系統102001" 93 "14_01" "大庭岩井集会所" [35.429555,137.127818] 1430.6046133711302
5 "111001" "1平日_10時28分_系統102001" 94 "12_01" "老人憩いの家" [35.429555,137.127818] 749.0051430894757
5 "111001" "1平日_10時28分_系統102001" 95 "22_01" "御嵩町役場" [35.429506999999994,137.128347] 517.2583901579802
5 "111001" "1平日_10時28分_系統102001" 97 "23_01" "ふらっとハウス" [35.429506999999994,137.128347] 312.9950971107331
5 "111001" "1平日_10時28分_系統102001" 98 "21_01" "御嵩公民館" [35.42377107058699,137.13660424727695] 639.8062469738315
5 "111001" "1平日_10時28分_系統102001" 99 "2_01" "御嵩電気西" [35.42376315001265,137.1387313323811] 782.9608837287379
5 "111001" "1平日_10時28分_系統102001" 100 "7_01" "長岡南" [35.423761,137.139307] 699.1204080344226
5 "111001" "1平日_10時28分_系統102001" 101 "6_01" "城町弘法堂" [35.42233000000001,137.142969] 262.78458102837413
stops_match_shape_out_of_order WARNING 2

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

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. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
2 "102001" "1平日_09時22分_系統101001" 72 "16_01" "大庭台第三集会所西" [35.445120146856155,137.1203562489067] 71 "13_01" "大庭台花壇" [35.44211245602315,137.11987684332803]
8 "111002" "1平日_06時31分_系統111001" 11 "26_01" "南山台東3" [35.42283077920846,137.13930657945951] 10 "32_01" "富士精機前" [35.41966678991858,137.14548792906822]
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.
"20260123" "20240318" "20250317"
unused_shape WARNING 1

unused_shape

Shape is not used in GTFS file trips.txt.

All records defined by GTFS shapes.txt should be used in trips.txt.

You can see more about this notice here.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"101001" 2
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