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 4108 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.
"19584"	504147	85572.2	2359	504146	85572.2	2358	0.11119510090982554
"19582"	500568	97069.6	2672	500567	97069.6	2671	0.11119510090982554
"30024"	1244058	104239.5	1993	1244057	104239.5	1992	0.11119510090982554
"2681"	227405	135913.8	2471	227404	135913.8	2470	0.12752942403551987
"2681"	227408	135914.0	2474	227407	135914.0	2473	0.11119510090982554
"2681"	227411	135914.2	2477	227410	135914.2	2476	0.11119510090982554
"2681"	227415	135914.5	2481	227414	135914.5	2480	0.11119510232447394
"2681"	227418	135914.7	2484	227417	135914.7	2483	0.11119510161714974
"2681"	227421	135914.9	2487	227420	135914.9	2486	0.12752941555597483
"2681"	227430	135915.5	2496	227429	135915.5	2495	0.11119510090982554
"2681"	227433	135915.7	2499	227432	135915.7	2498	0.11119510161714974
"2681"	227436	135915.9	2502	227435	135915.9	2501	0.11119510090982554
"2681"	227442	135916.3	2508	227441	135916.3	2507	0.06244516681738816
"2681"	227446	135916.6	2512	227445	135916.6	2511	0.11119510161714974
"2681"	227455	135917.2	2521	227454	135917.2	2520	0.11119510090982554
"2681"	227458	135917.4	2524	227457	135917.4	2523	0.12752939825777979
"2681"	227461	135917.6	2527	227460	135917.6	2526	0.11119510161714974
"2681"	227470	135918.2	2536	227469	135918.2	2535	0.11119510161714974
"2681"	227473	135918.4	2539	227472	135918.4	2538	0.11119510090982554
"2681"	227476	135918.6	2542	227475	135918.6	2541	0.11119510090982554
"2681"	227480	135918.9	2546	227479	135918.9	2545	0.11119510161714974
"2681"	227483	135919.1	2549	227482	135919.1	2548	0.11119510090982554
"2681"	227486	135919.3	2552	227485	135919.3	2551	0.11119510090982554
"2681"	227495	135919.9	2561	227494	135919.9	2560	0.12752938095958766
"2681"	227498	135920.1	2564	227497	135920.1	2563	0.11119510161714974
"2681"	227509	135920.8	2575	227508	135920.8	2574	0.11119510161714974
"2681"	227511	135920.9	2577	227510	135920.9	2576	0.11119510090982554
"2681"	227514	135921.1	2580	227513	135921.1	2579	0.11119510161714974
"2681"	227522	135921.6	2588	227521	135921.6	2587	0.11119510090982554
"2681"	227527	135921.9	2593	227526	135921.9	2592	0.11119510090982554
"2681"	227529	135922.0	2595	227528	135922.0	2594	0.11119510161714974
"2681"	227540	135922.7	2606	227539	135922.7	2605	0.11119510161714974
"2681"	227542	135922.8	2608	227541	135922.8	2607	0.11119510090982554
"2681"	227545	135923.0	2611	227544	135923.0	2610	0.11119510161714974
"2681"	227547	135923.1	2613	227546	135923.1	2612	0.11119510090982554
"2681"	227553	135923.5	2619	227552	135923.5	2618	0.1275293557985862
"2681"	227555	135923.6	2621	227554	135923.6	2620	0.11119510161714974
"2681"	227558	135923.8	2624	227557	135923.8	2623	0.11119510090982554
"2681"	227560	135923.9	2626	227559	135923.9	2625	0.11119510232447394
"2681"	227565	135924.2	2631	227564	135924.2	2630	0.11119510161714974
"2681"	227571	135924.6	2637	227570	135924.6	2636	0.11119510161714974
"2681"	227573	135924.7	2639	227572	135924.7	2638	0.11119510090982554
"2681"	227576	135924.9	2642	227575	135924.9	2641	0.11119510090982554
"2681"	227578	135925.0	2644	227577	135925.0	2643	0.11119510090982554
"2681"	227586	135925.5	2652	227585	135925.5	2651	0.11119510161714974
"2681"	227589	135925.7	2655	227588	135925.7	2654	0.11119510090982554
"2681"	227591	135925.8	2657	227590	135925.8	2656	0.11119510161714974
"2681"	227602	135926.5	2668	227601	135926.5	2667	0.11119510161714974
"2681"	227604	135926.6	2670	227603	135926.6	2669	0.11119510090982554
"2681"	227607	135926.8	2673	227606	135926.8	2672	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 2303 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`.
"19586"	512056	115749.9	3025	512055	115749.9	3024
"19582"	498743	35083.3	847	498742	35083.3	846
"29024"	658164	148042.4	3038	658163	148042.4	3037
"30025"	1248114	128479.9	2455	1248113	128479.9	2454
"29389"	1015053	137920.1	2829	1015052	137920.1	2828
"39068"	1474306	1205.5	24	1474305	1205.5	23
"39068"	1474487	12631.5	205	1474486	12631.5	204
"39068"	1474643	20843.7	361	1474642	20843.7	360
"39068"	1474797	27437.5	515	1474796	27437.5	514
"39068"	1474844	29887.0	562	1474843	29887.0	561
"39068"	1474916	32834.7	634	1474915	32834.7	633
"39068"	1474970	35707.7	688	1474969	35707.7	687
"39068"	1475051	38702.0	769	1475050	38702.0	768
"39068"	1475127	42593.6	845	1475126	42593.6	844
"39068"	1475156	44406.1	874	1475155	44406.1	873
"39068"	1475173	46457.2	891	1475172	46457.2	890
"39068"	1475228	50053.0	946	1475227	50053.0	945
"39068"	1475265	52038.7	983	1475264	52038.7	982
"39068"	1475305	54228.5	1023	1475304	54228.5	1022
"39068"	1475375	57770.6	1093	1475374	57770.6	1092
"39068"	1475443	61758.5	1161	1475442	61758.5	1160
"39068"	1475706	73543.5	1424	1475705	73543.5	1423
"39068"	1475857	76707.2	1575	1475856	76707.2	1574
"39068"	1475890	79048.7	1608	1475889	79048.7	1607
"39068"	1475946	83186.9	1664	1475945	83186.9	1663
"39068"	1476028	86670.2	1746	1476027	86670.2	1745
"39068"	1476109	88600.8	1827	1476108	88600.8	1826
"39068"	1476203	91992.0	1921	1476202	91992.0	1920
"39068"	1476325	96103.6	2043	1476324	96103.6	2042
"39068"	1476504	100996.3	2222	1476503	100996.3	2221
"39068"	1476681	107481.4	2399	1476680	107481.4	2398
"39068"	1477038	118217.0	2756	1477037	118217.0	2755
"39068"	1477203	123890.4	2921	1477202	123890.4	2920
"39068"	1477271	129182.9	2989	1477270	129182.9	2988
"39068"	1477382	134007.2	3100	1477381	134007.2	3099
"39068"	1477471	139284.0	3189	1477470	139284.0	3188
"39068"	1477555	143222.0	3273	1477554	143222.0	3272
"39068"	1477606	145499.9	3324	1477605	145499.9	3323
"39068"	1477711	147266.4	3429	1477710	147266.4	3428
"39068"	1477743	149266.7	3461	1477742	149266.7	3460
"39068"	1477877	156197.5	3595	1477876	156197.5	3594
"39068"	1477989	159334.4	3707	1477988	159334.4	3706
"39068"	1478098	165426.5	3816	1478097	165426.5	3815
"39068"	1478122	166935.7	3840	1478121	166935.7	3839
"39068"	1478248	177154.4	3966	1478247	177154.4	3965
"39068"	1478342	185229.3	4060	1478341	185229.3	4059
"39068"	1478507	195188.5	4225	1478506	195188.5	4224
"39068"	1478580	196726.1	4298	1478579	196726.1	4297
"39068"	1478915	214819.6	4633	1478914	214819.6	4632
"39068"	1479101	224192.7	4819	1479100	224192.7	4818

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.
21	"43774"
264	"48071"
35	"48073"
259	"48062"
216	"47985"
341	"24601"
336	"24602"

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 11750 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"	"4!AG"	425
"trips.txt"	"trip_short_name"	"5_HG"	466
"trips.txt"	"trip_short_name"	"3!AG"	598

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.
291	"29420"	"7429613"	6558	"8013"	"Balninkai"	[55.293757,25.120737000000002]	147.47788595097236
73	"29615"	"7432118"	6927	"13220"	"Laukuva"	[55.621511000000005,22.239248000000003]	134.78370867362614
481	"29616"	"7432119"	6975	"13165"	"Laukuva"	[55.621733,22.238377]	137.2756450378002

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