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.

Only the first 50 of 3855 affected records are displayed below.

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.
"30024"	1141387	104239.5	1993	1141386	104239.5	1992	0.11119510090982554
"2681"	209007	135913.8	2471	209006	135913.8	2470	0.12752942403551987
"2681"	209010	135914.0	2474	209009	135914.0	2473	0.11119510090982554
"2681"	209013	135914.2	2477	209012	135914.2	2476	0.11119510090982554
"2681"	209017	135914.5	2481	209016	135914.5	2480	0.11119510232447394
"2681"	209020	135914.7	2484	209019	135914.7	2483	0.11119510161714974
"2681"	209023	135914.9	2487	209022	135914.9	2486	0.12752941555597483
"2681"	209032	135915.5	2496	209031	135915.5	2495	0.11119510090982554
"2681"	209035	135915.7	2499	209034	135915.7	2498	0.11119510161714974
"2681"	209038	135915.9	2502	209037	135915.9	2501	0.11119510090982554
"2681"	209044	135916.3	2508	209043	135916.3	2507	0.06244516681738816
"2681"	209048	135916.6	2512	209047	135916.6	2511	0.11119510161714974
"2681"	209057	135917.2	2521	209056	135917.2	2520	0.11119510090982554
"2681"	209060	135917.4	2524	209059	135917.4	2523	0.12752939825777979
"2681"	209063	135917.6	2527	209062	135917.6	2526	0.11119510161714974
"2681"	209072	135918.2	2536	209071	135918.2	2535	0.11119510161714974
"2681"	209075	135918.4	2539	209074	135918.4	2538	0.11119510090982554
"2681"	209078	135918.6	2542	209077	135918.6	2541	0.11119510090982554
"2681"	209082	135918.9	2546	209081	135918.9	2545	0.11119510161714974
"2681"	209085	135919.1	2549	209084	135919.1	2548	0.11119510090982554
"2681"	209088	135919.3	2552	209087	135919.3	2551	0.11119510090982554
"2681"	209097	135919.9	2561	209096	135919.9	2560	0.12752938095958766
"2681"	209100	135920.1	2564	209099	135920.1	2563	0.11119510161714974
"2681"	209111	135920.8	2575	209110	135920.8	2574	0.11119510161714974
"2681"	209113	135920.9	2577	209112	135920.9	2576	0.11119510090982554
"2681"	209116	135921.1	2580	209115	135921.1	2579	0.11119510161714974
"2681"	209124	135921.6	2588	209123	135921.6	2587	0.11119510090982554
"2681"	209129	135921.9	2593	209128	135921.9	2592	0.11119510090982554
"2681"	209131	135922.0	2595	209130	135922.0	2594	0.11119510161714974
"2681"	209142	135922.7	2606	209141	135922.7	2605	0.11119510161714974
"2681"	209144	135922.8	2608	209143	135922.8	2607	0.11119510090982554
"2681"	209147	135923.0	2611	209146	135923.0	2610	0.11119510161714974
"2681"	209149	135923.1	2613	209148	135923.1	2612	0.11119510090982554
"2681"	209155	135923.5	2619	209154	135923.5	2618	0.1275293557985862
"2681"	209157	135923.6	2621	209156	135923.6	2620	0.11119510161714974
"2681"	209160	135923.8	2624	209159	135923.8	2623	0.11119510090982554
"2681"	209162	135923.9	2626	209161	135923.9	2625	0.11119510232447394
"2681"	209167	135924.2	2631	209166	135924.2	2630	0.11119510161714974
"2681"	209173	135924.6	2637	209172	135924.6	2636	0.11119510161714974
"2681"	209175	135924.7	2639	209174	135924.7	2638	0.11119510090982554
"2681"	209178	135924.9	2642	209177	135924.9	2641	0.11119510090982554
"2681"	209180	135925.0	2644	209179	135925.0	2643	0.11119510090982554
"2681"	209188	135925.5	2652	209187	135925.5	2651	0.11119510161714974
"2681"	209191	135925.7	2655	209190	135925.7	2654	0.11119510090982554
"2681"	209193	135925.8	2657	209192	135925.8	2656	0.11119510161714974
"2681"	209204	135926.5	2668	209203	135926.5	2667	0.11119510161714974
"2681"	209206	135926.6	2670	209205	135926.6	2669	0.11119510090982554
"2681"	209209	135926.8	2673	209208	135926.8	2672	0.11119510090982554
"2681"	209218	135927.4	2682	209217	135927.4	2681	0.11119510161714974
"2681"	209220	135927.5	2684	209219	135927.5	2683	0.11119510090982554

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 3272 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`.
"29024"	564442	148042.4	3038	564441	148042.4	3037
"30025"	1145443	128479.9	2455	1145442	128479.9	2454
"29389"	917690	137920.1	2829	917689	137920.1	2828
"39068"	1339411	1205.5	24	1339410	1205.5	23
"39068"	1339592	12631.5	205	1339591	12631.5	204
"39068"	1339748	20843.7	361	1339747	20843.7	360
"39068"	1339902	27437.5	515	1339901	27437.5	514
"39068"	1339949	29887.0	562	1339948	29887.0	561
"39068"	1340021	32834.7	634	1340020	32834.7	633
"39068"	1340075	35707.7	688	1340074	35707.7	687
"39068"	1340156	38702.0	769	1340155	38702.0	768
"39068"	1340232	42593.6	845	1340231	42593.6	844
"39068"	1340261	44406.1	874	1340260	44406.1	873
"39068"	1340278	46457.2	891	1340277	46457.2	890
"39068"	1340333	50053.0	946	1340332	50053.0	945
"39068"	1340370	52038.7	983	1340369	52038.7	982
"39068"	1340410	54228.5	1023	1340409	54228.5	1022
"39068"	1340480	57770.6	1093	1340479	57770.6	1092
"39068"	1340548	61758.5	1161	1340547	61758.5	1160
"39068"	1340811	73543.5	1424	1340810	73543.5	1423
"39068"	1340962	76707.2	1575	1340961	76707.2	1574
"39068"	1340995	79048.7	1608	1340994	79048.7	1607
"39068"	1341051	83186.9	1664	1341050	83186.9	1663
"39068"	1341133	86670.2	1746	1341132	86670.2	1745
"39068"	1341214	88600.8	1827	1341213	88600.8	1826
"39068"	1341308	91992.0	1921	1341307	91992.0	1920
"39068"	1341430	96103.6	2043	1341429	96103.6	2042
"39068"	1341609	100996.3	2222	1341608	100996.3	2221
"39068"	1341786	107481.4	2399	1341785	107481.4	2398
"39068"	1342143	118217.0	2756	1342142	118217.0	2755
"39068"	1342308	123890.4	2921	1342307	123890.4	2920
"39068"	1342376	129182.9	2989	1342375	129182.9	2988
"39068"	1342487	134007.2	3100	1342486	134007.2	3099
"39068"	1342576	139284.0	3189	1342575	139284.0	3188
"39068"	1342660	143222.0	3273	1342659	143222.0	3272
"39068"	1342711	145499.9	3324	1342710	145499.9	3323
"39068"	1342816	147266.4	3429	1342815	147266.4	3428
"39068"	1342848	149266.7	3461	1342847	149266.7	3460
"39068"	1342982	156197.5	3595	1342981	156197.5	3594
"39068"	1343094	159334.4	3707	1343093	159334.4	3706
"39068"	1343203	165426.5	3816	1343202	165426.5	3815
"39068"	1343227	166935.7	3840	1343226	166935.7	3839
"39068"	1343353	177154.4	3966	1343352	177154.4	3965
"39068"	1343447	185229.3	4060	1343446	185229.3	4059
"39068"	1343612	195188.5	4225	1343611	195188.5	4224
"39068"	1343685	196726.1	4298	1343684	196726.1	4297
"39068"	1344020	214819.6	4633	1344019	214819.6	4632
"39068"	1344206	224192.7	4819	1344205	224192.7	4818
"39068"	1344283	227224.2	4896	1344282	227224.2	4895
"2681"	208243	93134.7	1707	208242	93134.7	1706

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.
82	"44515"
77	"44517"
19	"43774"
270	"48071"
33	"48073"
218	"47985"
348	"24601"
265	"48062"

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 11850 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	"41979"	1
3	"41979"	2
4	"41979"	3
5	"41979"	4
6	"41980"	1
7	"41980"	2
8	"41980"	3
9	"41980"	4
10	"41981"	1
11	"41981"	2
12	"41981"	3
13	"41981"	4
14	"41982"	1
15	"41982"	2
16	"41982"	3
17	"41982"	4
18	"42101"	1
19	"42101"	2
20	"42101"	4
21	"42101"	5
22	"42101"	6
23	"42103"	1
24	"42103"	2
25	"42103"	4
26	"42103"	5
27	"42103"	6
28	"42105"	1
29	"42105"	2
30	"42105"	4
31	"42105"	5
32	"42203"	1
33	"42203"	2
34	"42203"	3
35	"42203"	4
36	"42203"	5
37	"42203"	6
38	"42203"	7
39	"42203"	8
40	"42203"	9
41	"42203"	10
42	"42203"	11
43	"42203"	12
44	"42203"	13
45	"42203"	14
46	"42203"	15
47	"42203"	16
48	"42203"	17
49	"42203"	18
50	"42203"	19
51	"42206"	1

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.
"trips.txt"	"trip_short_name"	"5_HG"	301
"trips.txt"	"trip_short_name"	"3!AG"	523
"trips.txt"	"trip_short_name"	"4!AG"	539

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

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.	stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`.	stopId (?) The id of the stop that is referred to.	stopName (?) The name of the stop that is referred to.	match (?) Latitude and longitude pair of the location.	geoDistanceToShape (?) Distance from stop to shape.
140	"29420"	"7429613"	5529	"8013"	"Balninkai"	[55.293757,25.120737000000002]	147.47788595097236
397	"29615"	"7432118"	5898	"13220"	"Laukuva"	[55.621511000000005,22.239248000000003]	134.78370867362614
312	"29616"	"7432119"	5946	"13165"	"Laukuva"	[55.621733,22.238377]	137.2756450378002

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.
205	"54901"	"8226897"	11513	"45588"	"Balbieriškis"	[54.524770000000004,23.885448]	11512	"45784"	"Balbieriškis"	[54.525039387689404,23.885400507640224]

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