GTFS Schedule Validation Report

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

shapeId (?) The id of the faulty shape.	csvRowNumber (?) The row number from `shapes.txt`.	shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value.	shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`.	prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point.	prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value.	prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.	actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"lbtt"	20782	8699.885180385156	152	20781	8699.885180385156	151	0.6039220942490223
"hpf3"	17914	8699.893655709111	152	17913	8699.893655709111	151	0.6039220942490223

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

shapeId (?) The id of the faulty shape.	csvRowNumber (?) The row number from `shapes.txt`.	shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record.	shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`.	prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point.	prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point.	prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"j9nf"	19296	2994.04435299705	78	19295	2994.04435299705	77

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.
3	"dec24"
6	"jan01"

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_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 14122 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	"10H-101"	0
6	"10H-101"	4
25	"10H-102"	9
47	"10H-103"	17
70	"10H-106"	9
108	"10H-110"	9
113	"10H-111"	0
117	"10H-111"	4
136	"10H-112"	9
150	"10H-116"	9
181	"10H-117"	15
200	"10H-122"	9
309	"10H-196"	17
378	"10H-199"	17
382	"10H-201"	0
386	"10H-201"	4
405	"10H-202"	9
427	"10H-203"	17
450	"10H-206"	9
488	"10H-210"	9
493	"10H-211"	0
497	"10H-211"	4
516	"10H-212"	9
536	"10H-217"	15
555	"10H-218"	9
580	"10H-222"	9
689	"10H-296"	17
716	"10H-297"	17
737	"10H-298"	17
758	"10H-299"	17
777	"10H-301"	15
796	"10H-302"	9
827	"10H-303"	15
846	"10H-304"	9
877	"10H-305"	15
896	"10H-306"	9
927	"10H-501"	15
946	"10H-502"	9
977	"10H-503"	15
996	"10H-504"	9
1027	"10H-603"	15
1046	"10H-604"	9
1077	"10H-605"	15
1096	"10H-606"	9
1112	"12-101"	0
1113	"12-101"	1
1114	"12-101"	2
1115	"12-101"	3
1116	"12-101"	4
1118	"12-101"	6

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_desc"	"belső"	29
"stops.txt"	"stop_name"	"TESCO hipermarket"	107
"stops.txt"	"stop_name"	"TESCO szupermarket"	108
"stops.txt"	"stop_name"	"TESCO hipermarket"	245
"trips.txt"	"trip_headsign"	"TESCO hipermarket"	449
"trips.txt"	"trip_headsign"	"TESCO hipermarket"	474
"trips.txt"	"trip_headsign"	"TESCO hipermarket"	493
"trips.txt"	"trip_headsign"	"TESCO hipermarket"	519

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record.	stopId (?) The id of the faulty stop.	stopName (?) The name of the faulty stop.
34	"1040"	"Géfin Gyula utca"
115	"1141"	"Újperint, Erkel utca 54."
172	"2040"	"Géfin Gyula utca"
268	"2162"	"Lipp Vilmos utca"
301	"SIP"	"Söptei úti Ipari Park"

trip_distance_exceeds_shape_distance_below_threshold

The distance between the last shape point and last stop point is greater than 0 but less than the 11.1m threshold.

You can see more about this notice here.

Only the first 50 of 67 affected records are displayed below.

tripId (?) The faulty record's trip id.	shapeId (?) The faulty record's shape id.	maxTripDistanceTraveled (?) The faulty record's trip max distance traveled.	maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled.	geoDistanceToShape (?) The distance in meters between the shape and the stop.
"1U-101"	"ngaq"	8591.706919968108	8589.022500256975	7.166355314515799
"1U-103"	"ngaq"	8591.706919968108	8589.022500256975	7.166355314515799
"1U-105"	"ngaq"	8591.706919968108	8589.022500256975	7.166355314515799
"1U-107"	"ngaq"	8591.706919968108	8589.022500256975	7.166355314515799
"22-1001"	"9hqt"	3279.7583942980305	3279.75839429803	5.230406433898388
"22-2001"	"9hqt"	3279.7583942980305	3279.75839429803	5.230406433898388
"23-196"	"7016"	11236.09871870667	11232.588076972992	6.432685285031838
"23-197"	"1fgm"	11236.09871870667	11232.588076972992	6.432685285031838
"23-296"	"7016"	11236.09871870667	11232.588076972992	6.432685285031838
"23-297"	"1fgm"	11236.09871870667	11232.588076972992	6.432685285031838
"25-111"	"5ry4"	6155.35301815783	6153.429820459768	7.119331821623221
"25-113"	"5ry4"	6155.35301815783	6153.429820459768	7.119331821623221
"25-211"	"5ry4"	6155.35301815783	6153.429820459768	7.119331821623221
"25-213"	"5ry4"	6155.35301815783	6153.429820459768	7.119331821623221
"27-100"	"a79v"	4852.857925236742	4851.341683168528	6.432685285031838
"27-102"	"a79v"	4852.857925236742	4851.341683168528	6.432685285031838
"27-104"	"a79v"	4852.857925236742	4851.341683168528	6.432685285031838
"27-181"	"xa3a"	2122.0841444459465	2121.4211138562055	8.443633321239883
"27-200"	"a79v"	4852.857925236742	4851.341683168528	6.432685285031838
"27-202"	"a79v"	4852.857925236742	4851.341683168528	6.432685285031838
"27-204"	"a79v"	4852.857925236742	4851.341683168528	6.432685285031838
"27-281"	"xa3a"	2122.0841444459465	2121.4211138562055	8.443633321239883
"27-302"	"a79v"	4852.857925236742	4851.341683168528	6.432685285031838
"27-381"	"xa3a"	2122.0841444459465	2121.4211138562055	8.443633321239883
"27-502"	"a79v"	4852.857925236742	4851.341683168528	6.432685285031838
"27-681"	"xa3a"	2122.0841444459465	2121.4211138562055	8.443633321239883
"30Y-109"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-111"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-131"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-133"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-135"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-137"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-139"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-141"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-209"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-211"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-231"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-233"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-235"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-237"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-239"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"30Y-241"	"3ehw"	10875.388653182245	10871.990712826639	5.443932583131794
"5-102"	"moul"	9879.86736265387	9876.780466075727	6.3551496438530135
"5-104"	"moul"	9879.86736265387	9876.780466075727	6.3551496438530135
"5-106"	"moul"	9879.86736265387	9876.780466075727	6.3551496438530135
"5-108"	"moul"	9879.86736265387	9876.780466075727	6.3551496438530135
"5-110"	"moul"	9879.86736265387	9876.780466075727	6.3551496438530135
"5-112"	"moul"	9879.86736265387	9876.780466075727	6.3551496438530135
"5-114"	"moul"	9879.86736265387	9876.780466075727	6.3551496438530135
"5-116"	"moul"	9879.86736265387	9876.780466075727	6.3551496438530135

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.

Only the first 50 of 97 affected records are displayed below.

shapeId (?) The faulty record's id.	csvRowNumber (?) The row number of the faulty record.
"05h5"	2
"0nn4"	1104
"13lr"	1311
"17kd"	1385
"2j0y"	2599
"32zq"	3436
"36iv"	3513
"3j5m"	3818
"3q6w"	4134
"3ve8"	4168
"48g9"	4785
"5pdc"	6358
"6dbl"	7009
"6h6d"	7081
"6y9k"	7138
"73gu"	7507
"8cal"	8525
"8lya"	8571
"8mgd"	8606
"8vsa"	9206
"9y14"	10523
"a0it"	10577
"ap3y"	11790
"axad"	12181
"b3fs"	12217
"b8fc"	12303
"cpgd"	13344
"d05i"	13966
"dcn8"	14342
"dtjn"	14783
"duv7"	14863
"edd5"	14894
"f170bc45-c529-4c47-8e80-2bd84c465552"	15240
"fip8"	16211
"fo9w"	16268
"h6ug"	16945
"hf7d"	17089
"i3xi"	18087
"i42m"	18176
"iflo"	18592
"ija5"	18697
"imdd"	18766
"inio"	18891
"j9nf"	19218
"j9r7"	19297
"jx6y"	19357
"jxgk"	19486
"lj6g"	21333
"m7cq"	21864
"m7ys"	21867

platform_without_parent_station

A platform has no parent_station field set.

This is different from location_without_parent_station since it is less severe.

You can see more about this notice here.

csvRowNumber (?) Row number of the faulty record.	stopId (?) The id of the faulty record.	stopName (?) The stop name of the faulty record.
89	"11147"	"Városháza"
138	"12147"	"Városháza"
295	"51150"	"Vasútállomás"
296	"52150"	"Vasútállomás"
297	"53150"	"Vasútállomás"
298	"54150"	"Vasútállomás"
299	"55150"	"Vasútállomás"
300	"56150"	"Vasútállomás"

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.
"feed_info.txt"	"feed_id"	1

unknown_file

A file is unknown.

You can see more about this notice here.

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