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.
"20409"	33787	20881.2	405	33786	20881.2	404	0.06200667717945432
"20408"	32966	6611.0	219	32965	6611.0	218	0.06200667717945432

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.

Only the first 50 of 237 affected records are displayed below.

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`.
"58670"	62753	39.5	4	62752	39.5	3
"58673"	65510	39.5	4	65509	39.5	3
"58673"	65540	1143.7	34	65539	1143.7	33
"58673"	65626	3550.0	120	65625	3550.0	119
"58673"	65738	8023.3	232	65737	8023.3	231
"58673"	65798	11975.4	292	65797	11975.4	291
"58673"	65836	14958.5	330	65835	14958.5	329
"58673"	65880	17267.3	374	65879	17267.3	373
"58673"	65917	20176.4	411	65916	20176.4	410
"58673"	65966	22406.6	460	65965	22406.6	459
"58673"	66021	25725.2	515	66020	25725.2	514
"58673"	66059	27154.5	553	66058	27154.5	552
"58672"	64970	5089.1	93	64969	5089.1	92
"58672"	65018	6944.8	141	65017	6944.8	140
"58672"	65063	9904.5	186	65062	9904.5	185
"58672"	65115	12272.7	238	65114	12272.7	237
"58672"	65153	15199.8	276	65152	15199.8	275
"58672"	65194	17397.3	317	65193	17397.3	316
"58672"	65231	20317.4	354	65230	20317.4	353
"58672"	65296	24439.1	419	65295	24439.1	418
"58672"	65401	28593.1	524	65400	28593.1	523
"58672"	65476	30817.8	599	65475	30817.8	598
"58672"	65504	31973.4	627	65503	31973.4	626
"58679"	67235	5235.3	95	67234	5235.3	94
"58679"	67280	6944.8	140	67279	6944.8	139
"58679"	67325	9904.5	185	67324	9904.5	184
"58679"	67377	12272.7	237	67376	12272.7	236
"58679"	67415	15199.8	275	67414	15199.8	274
"58679"	67456	17397.3	316	67455	17397.3	315
"58679"	67493	20317.4	353	67492	20317.4	352
"58679"	67558	24439.1	418	67557	24439.1	417
"58679"	67674	28734.7	534	67673	28734.7	533
"58679"	67746	30859.9	606	67745	30859.9	605
"58679"	67774	32015.5	634	67773	32015.5	633
"58674"	66242	5089.1	92	66241	5089.1	91
"58674"	66280	6518.4	130	66279	6518.4	129
"58674"	66317	8013.4	167	66316	8013.4	166
"58674"	66385	10477.7	235	66384	10477.7	234
"58674"	66453	12941.9	303	66452	12941.9	302
"58674"	66481	14136.9	331	66480	14136.9	330
"58674"	66526	17096.6	376	66525	17096.6	375
"58674"	66615	20601.1	465	66614	20601.1	464
"58674"	66720	27279.4	570	66719	27279.4	569
"58674"	66766	30946.1	616	66765	30946.1	615
"58674"	66807	33143.7	657	66806	33143.7	656
"58674"	66844	36063.8	694	66843	36063.8	693
"58674"	66863	37283.7	713	66862	37283.7	712
"58674"	66922	41072.6	772	66921	41072.6	771
"58674"	67038	45368.3	888	67037	45368.3	887
"58674"	67110	47493.5	960	67109	47493.5	959

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 2742 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	"46463"	1
3	"46463"	2
4	"46463"	3
5	"46463"	4
6	"46463"	5
7	"46463"	6
8	"46463"	7
9	"46463"	8
10	"46465"	1
11	"46465"	2
12	"46465"	3
13	"46465"	4
14	"46465"	5
15	"46465"	6
16	"46465"	7
17	"46532"	1
18	"46532"	2
19	"46532"	3
20	"46532"	4
21	"46532"	5
22	"46532"	6
23	"46532"	7
24	"46532"	8
25	"46532"	9
26	"46532"	10
27	"46532"	11
28	"46533"	1
29	"46533"	2
30	"46533"	3
31	"46533"	4
32	"46533"	5
33	"46533"	6
34	"46533"	7
35	"46533"	8
36	"46533"	9
37	"46533"	10
38	"46533"	11
39	"46533"	12
40	"46533"	13
41	"46536"	1
42	"46536"	2
43	"46536"	3
44	"46536"	4
45	"46536"	5
46	"46536"	6
47	"46536"	7
48	"46536"	8
49	"46537"	1
50	"46537"	2
51	"46537"	3

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"	"telšiai janapolė - telšiai"	53

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.
49	"26489"	"7231018"	2196	"10486"	"Kuršų m-la"	[55.853816990580704,22.40675061105697]	2195	"7720"	"Baltininkai"	[55.85382305337965,22.406770171019815]

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.
"fare_attributes.txt"	"journey_duration"	8
"routes.txt"	"eligibility_restricted"	11
"routes.txt"	"bikes_allowed"	12
"routes.txt"	"regional_fare_card"	14
"stops.txt"	"stop_direction"	12
"stops.txt"	"vehicle_type"	14
"stops.txt"	"mta_stop_id"	17
"stops.txt"	"regional_fare_card"	18
"stop_times.txt"	"start_service_area_id"	1
"stop_times.txt"	"end_service_area_id"	2
"stop_times.txt"	"note_id"	5
"stop_times.txt"	"to_stop_sequence"	16
"stop_times.txt"	"route_short_name"	18
"stop_times.txt"	"start_service_area_radius"	24
"stop_times.txt"	"end_service_area_radius"	25
"stop_times.txt"	"fare_period_id"	26
"stop_times.txt"	"departure_buffer"	27
"stop_times.txt"	"track"	28
"stop_times.txt"	"mean_duration_factor"	29
"stop_times.txt"	"mean_duration_offset"	30
"stop_times.txt"	"safe_duration_factor"	31
"stop_times.txt"	"safe_duration_offset"	32
"stop_times.txt"	"free_running_flag"	33
"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