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"	34307	20881.2	405	34306	20881.2	404	0.06200667717945432
"20408"	33486	6611.0	219	33485	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 238 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`.
"48740"	61150	39.5	4	61149	39.5	3
"48740"	61178	1114.3	32	61177	1114.3	31
"48740"	61260	3500.7	114	61259	3500.7	113
"48740"	61370	7873.4	224	61369	7873.4	223
"48740"	61430	11825.5	284	61429	11825.5	283
"48740"	61468	14808.6	322	61467	14808.6	321
"48740"	61512	17117.4	366	61511	17117.4	365
"48740"	61549	20026.5	403	61548	20026.5	402
"48740"	61598	22256.7	452	61597	22256.7	451
"48740"	61653	25575.4	507	61652	25575.4	506
"48740"	61691	27004.6	545	61690	27004.6	544
"51489"	68182	18481.6	319	68181	18481.6	318
"51488"	67141	39.5	4	67140	39.5	3
"5810"	8742	8874.9	60	8741	8874.9	59
"5810"	8799	18655.3	117	8798	18655.3	116
"48736"	59500	39.5	4	59499	39.5	3
"48736"	59528	1114.3	32	59527	1114.3	31
"48736"	59610	3500.7	114	59609	3500.7	113
"48736"	59720	7873.4	224	59719	7873.4	223
"48736"	59780	11825.5	284	59779	11825.5	283
"48736"	59818	14808.6	322	59817	14808.6	321
"48736"	59862	17117.4	366	59861	17117.4	365
"48736"	59899	20026.5	403	59898	20026.5	402
"48736"	59948	22256.7	452	59947	22256.7	451
"48736"	60019	26343.9	523	60018	26343.9	522
"48736"	60087	28808.2	591	60086	28808.2	590
"48736"	60155	31272.5	659	60154	31272.5	658
"48736"	60192	32767.4	696	60191	32767.4	695
"48736"	60230	34196.7	734	60229	34196.7	733
"48735"	58810	39.5	4	58809	39.5	3
"48735"	58838	1114.3	32	58837	1114.3	31
"48735"	58920	3500.7	114	58919	3500.7	113
"48735"	59030	7873.4	224	59029	7873.4	223
"48735"	59084	11452.2	278	59083	11452.2	277
"48735"	59103	12729.8	297	59102	12729.8	296
"48735"	59126	13511.2	320	59125	13511.2	319
"48735"	59182	17039.1	376	59181	17039.1	375
"48735"	59226	19347.9	420	59225	19347.9	419
"48735"	59263	22257.0	457	59262	22257.0	456
"48735"	59312	24487.2	506	59311	24487.2	505
"48735"	59367	27805.9	561	59366	27805.9	560
"48735"	59405	29235.1	599	59404	29235.1	598
"48734"	58066	5089.1	93	58065	5089.1	92
"48734"	58104	6518.4	131	58103	6518.4	130
"48734"	58141	8013.4	168	58140	8013.4	167
"48734"	58209	10477.7	236	58208	10477.7	235
"48734"	58277	12941.9	304	58276	12941.9	303
"48734"	58305	14136.9	332	58304	14136.9	331
"48734"	58350	17096.6	377	58349	17096.6	376
"48734"	58402	19464.7	429	58401	19464.7	428

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 2765 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"	55

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.
105	"26489"	"7231018"	2220	"10486"	"Kuršų m-la"	[55.853816990580704,22.40675061105697]	2219	"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