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.
"35667"	29841	5114.4	147	29840	5114.4	146	0.12737703146093737

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`.
"35713"	43297	13337.8	54	43296	13337.8	53
"35713"	43303	14817.1	60	43302	14817.1	59
"35713"	43310	16327.2	67	43309	16327.2	66
"35713"	43319	18234.6	76	43318	18234.6	75
"35713"	43326	19744.8	83	43325	19744.8	82
"35713"	43332	21224.0	89	43331	21224.0	88
"35713"	43337	21996.4	94	43336	21996.4	93
"35713"	43354	24638.1	111	43353	24638.1	110
"35714"	43441	7316.5	54	43440	7316.5	53
"35714"	43448	8826.6	61	43447	8826.6	60
"35714"	43457	10734.1	70	43456	10734.1	69
"35714"	43464	12244.2	77	43463	12244.2	76
"35668"	30266	1104.6	12	30265	1104.6	11
"35668"	30365	21218.3	111	30364	21218.3	110
"35668"	30375	22026.4	121	30374	22026.4	120
"35668"	30412	28019.6	158	30411	28019.6	157
"35668"	30422	28827.7	168	30421	28827.7	167
"35668"	30455	35825.7	201	30454	35825.7	200
"35668"	30485	39418.0	231	30484	39418.0	230
"35668"	30491	40362.7	237	30490	40362.7	236
"35668"	30557	47960.6	303	30556	47960.6	302
"35668"	30563	48905.2	309	30562	48905.2	308
"35668"	30593	52497.5	339	30592	52497.5	338
"35668"	30660	65613.3	406	30659	65613.3	405
"35668"	30671	66717.9	417	30670	66717.9	416

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"

missing_timepoint_value

stop_times.timepoint value is missing for a record.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 1664 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	"48096"	1
3	"48096"	2
4	"48096"	3
5	"48096"	4
6	"48096"	5
7	"48097"	1
8	"48097"	2
9	"48097"	3
10	"48097"	4
11	"48097"	5
12	"48098"	1
13	"48098"	2
14	"48098"	3
15	"48098"	4
16	"48098"	5
17	"48100"	1
18	"48100"	2
19	"48100"	3
20	"48100"	4
21	"48100"	5
22	"48102"	1
23	"48102"	2
24	"48102"	3
25	"48102"	4
26	"48102"	5
27	"48103"	1
28	"48103"	2
29	"48103"	3
30	"48103"	4
31	"48103"	5
32	"48104"	1
33	"48104"	2
34	"48104"	3
35	"48104"	4
36	"48104"	5
37	"48105"	1
38	"48105"	2
39	"48105"	3
40	"48105"	4
41	"48105"	5
42	"3329081"	1
43	"3329081"	2
44	"3329081"	3
45	"3329081"	4
46	"3329081"	5
47	"3329081"	6
48	"3329081"	7
49	"3329081"	8
50	"3329081"	9
51	"3329081"	10

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"	"PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS"	39
"routes.txt"	"route_long_name"	"PASVALYS-GULBINĖNAI PER KRINČINĄ"	41
"stops.txt"	"stop_name"	"dirbtuvės už kriklinių"	222

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.
96	"35668"	"7652364"	905	"20855"	"Kontariškiai"	[56.04984708813942,24.383280063416947]	904	"20829"	"Smegduobių parkas"	[56.056377166218944,24.39590345350891]

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"	"eligibility_restricted"	10
"routes.txt"	"bikes_allowed"	11
"routes.txt"	"regional_fare_card"	12
"stops.txt"	"vehicle_type"	13
"stops.txt"	"mta_stop_id"	16
"stops.txt"	"regional_fare_card"	17
"stop_times.txt"	"note_id"	3
"trips.txt"	"note_id"	2
"trips.txt"	"mean_duration_factor"	12
"trips.txt"	"mean_duration_offset"	13
"trips.txt"	"safe_duration_factor"	14
"trips.txt"	"safe_duration_offset"	15
"trips.txt"	"cars_allowed"	16
"trips.txt"	"peak_offpeak"	17
"trips.txt"	"mta_trip_id"	18
"trips.txt"	"boarding_type"	19