GTFS Schedule Validation Report

stop_time_with_arrival_before_previous_departure_time

Backwards time travel between stops in stop_times.txt

For a given trip_id, the arrival_time of (n+1)-th stoptime in sequence must not precede the departure_time of n-th stoptime in sequence in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record.	prevCsvRowNumber (?) The row of the previous stop time.	tripId (?) The trip_id associated to the faulty record.	arrivalTime (?) Arrival time at the faulty record.	departureTime (?) Departure time at the previous stop time.
182	207	"2+0+毎日+5"	"15:00:00"	"15:37:00"
137	162	"2+0+毎日+4"	"13:25:00"	"14:02:00"
227	252	"2+0+毎日+6"	"16:35:00"	"17:12:00"
2	27	"2+0+毎日+1"	"07:55:00"	"08:32:00"
92	117	"2+0+毎日+3"	"11:05:00"	"11:42:00"
47	72	"2+0+毎日+2"	"09:30:00"	"10:07:00"

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	"毎日"

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip.	tripId (?) `trip_id` of the problematic trip.	routeId (?) `route_id` of the problematic trip.	speedKph (?) Travel speed (km/h).	distanceKm (?) Distance between stops (km).	csvRowNumber1 (?) The row number of the first stop time.	stopSequence1 (?) `stop_sequence` of the first stop.	stopId1 (?) `stop_id` of the first stop.	stopName1 (?) `stop_name` of the first stop.	departureTime1 (?) `departure_time` of the first stop.	csvRowNumber2 (?) The row number of the second stop time.	stopSequence2 (?) `stop_sequence` of the second stop.	stopId2 (?) `stop_id` of the second stop.	stopName2 (?) `stop_name` of the second stop.	arrivalTime2 (?) `arrival_time` of the second stop.
6	"2+0+毎日+5"	"2"	605.2226576947561	10.087044294912602	207	0	"33"	"旧日赤前"	"15:37:00"	204	23	"38"	"大谷本町（ワンダーグー前）"	"15:31:00"
4	"2+0+毎日+3"	"2"	605.2226576947561	10.087044294912602	117	0	"33"	"旧日赤前"	"11:42:00"	114	23	"38"	"大谷本町（ワンダーグー前）"	"11:36:00"
5	"2+0+毎日+4"	"2"	605.2226576947561	10.087044294912602	162	0	"33"	"旧日赤前"	"14:02:00"	159	23	"38"	"大谷本町（ワンダーグー前）"	"13:56:00"
7	"2+0+毎日+6"	"2"	605.2226576947561	10.087044294912602	252	0	"33"	"旧日赤前"	"17:12:00"	249	23	"38"	"大谷本町（ワンダーグー前）"	"17:06:00"
2	"2+0+毎日+1"	"2"	605.2226576947561	10.087044294912602	27	0	"33"	"旧日赤前"	"08:32:00"	24	23	"38"	"大谷本町（ワンダーグー前）"	"08:26:00"
3	"2+0+毎日+2"	"2"	605.2226576947561	10.087044294912602	72	0	"33"	"旧日赤前"	"10:07:00"	69	23	"38"	"大谷本町（ワンダーグー前）"	"10:01:00"

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.
"feed_info.txt"	2	"feed_version"

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.
"stops.txt"	"stop_name"	"台町（NTT真岡前）"	3
"stops.txt"	"stop_name"	"台町（NTT真岡前）"	4
"stops.txt"	"stop_name"	"荒町三丁目（サンキ前）"	11
"stops.txt"	"stop_name"	"荒町三丁目（サンキ前）"	12
"stops.txt"	"stop_name"	"田町（栃木銀行真岡支店前）"	31
"stops.txt"	"stop_name"	"田町（栃木銀行真岡支店前）"	32
"stops.txt"	"stop_name"	"大谷本町（ワンダーグー前）"	38
"stops.txt"	"stop_name"	"大谷本町（ワンダーグー前）"	39
"stops.txt"	"stop_name"	"八木岡（わたなべクリーニング前）"	42
"stops.txt"	"stop_name"	"高勢町二丁目（第２公民館前）"	49
"stops.txt"	"stop_name"	"高勢町三丁目（高勢南公民館）"	50
"stops.txt"	"stop_name"	"下高間木一丁目（いのき眼科前）"	55
"stops.txt"	"stop_name"	"下高間木一丁目（いのき眼科前）"	56
"stops.txt"	"stop_name"	"上高間木三丁目（ユニクロ前）"	57
"stops.txt"	"stop_name"	"上高間木三丁目（ユニクロ前）"	58
"stops.txt"	"stop_name"	"亀山一丁目（ツタヤ前）"	61
"stops.txt"	"stop_name"	"亀山一丁目（ツタヤ前）"	62

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 847 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"	"毎日"
"stop_times.txt"	2	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	3	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	4	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	5	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	6	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	7	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	8	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	9	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	10	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	11	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	12	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	13	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	14	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	15	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	16	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	17	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	18	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	19	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	20	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	21	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	22	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	23	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	24	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	25	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	26	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	27	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	28	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	29	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	30	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	31	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	32	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	33	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	34	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	35	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	36	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	37	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	38	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	39	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	40	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	41	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	42	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	43	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	44	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	45	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	46	"trip_id"	"2+0+毎日+1"
"stop_times.txt"	47	"trip_id"	"2+0+毎日+2"
"stop_times.txt"	48	"trip_id"	"2+0+毎日+2"
"stop_times.txt"	49	"trip_id"	"2+0+毎日+2"
"stop_times.txt"	50	"trip_id"	"2+0+毎日+2"

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.
"20260725"	"20250401"	"20260331"

feed_valid_beyond_total_service_window

The feed is valid 14 days beyond its total service window.

You can see more about this notice here.

feedStartDate (?) The feed start date from feed_info.txt.	feedEndDate (?) The feed end date from feed_info.txt.	serviceWindowStartDate (?) The earliest active service date across all services.	serviceWindowEndDate (?) The latest active service date across all services.
"2026-04-01"	"2027-03-31"	"2025-04-01"	"2026-03-31"

service_window_outside_feed_period

A service window is not covered by the feed's validity period.

You can see more about this notice here.

serviceId (?) The service_id whose active window extends outside the feed validity period.	serviceWindowStartDate (?) The first active date of the service window.	serviceWindowEndDate (?) The last active date of the service window.	daysBeforeFeedStart (?) Number of days the service window extends before feed_start_date (0 if none).	daysAfterFeedEnd (?) Number of days the service window extends after feed_end_date (0 if none).
"毎日"	"2025-04-01"	"2026-03-31"	365	0

trip_headsign_matches_intermediate_stop

Trip headsign matches the name of an intermediate stop, not the last stop.

The trip_headsign matches the stop_name of a stop that is not the last stop of the trip. This may confuse passengers boarding after that stop, since the headsign suggests the vehicle is heading to a stop it has already passed.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record in `trips.txt`.	tripId (?) The id of the trip with the problematic headsign.	tripHeadsign (?) The headsign value that matches an intermediate stop name.	stopId1 (?) The id of the intermediate stop whose name matches the headsign.	stopSequence (?) The stop_sequence value of the intermediate stop that matches the headsign.	stopId2 (?) The id of the actual last stop of the trip.
2	"2+0+毎日+1"	"真岡女子高等学校前"	"35"	25	"1"
3	"2+0+毎日+2"	"真岡女子高等学校前"	"35"	25	"1"
4	"2+0+毎日+3"	"真岡女子高等学校前"	"35"	25	"1"
5	"2+0+毎日+4"	"真岡女子高等学校前"	"35"	25	"1"
6	"2+0+毎日+5"	"真岡女子高等学校前"	"35"	25	"1"
7	"2+0+毎日+6"	"真岡女子高等学校前"	"35"	25	"1"

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"office_jp.txt"

unsorted_stop_times

Stop times are not sorted by trip_id and stop_sequence.

'stop_times.txt' entries for a given trip are not sorted by stop_sequence, or are not contiguous in the file.

You can see more about this notice here.

tripId (?) The faulty record's trip_id.	startCsvRowNumber (?) CSV row number of the first stop_times entry for this trip.	endCsvRowNumber (?) CSV row number of the last stop_times entry for this trip.
"2+0+毎日+5"	182	226
"2+0+毎日+4"	137	181
"2+0+毎日+6"	227	271
"2+0+毎日+1"	2	46
"2+0+毎日+3"	92	136
"2+0+毎日+2"	47	91