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"	1240417	104239.5	1993	1240416	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 2352 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"	1244473	128479.9	2455	1244472	128479.9	2454
"29389"	1011412	137920.1	2829	1011411	137920.1	2828
"39068"	1470665	1205.5	24	1470664	1205.5	23
"39068"	1470846	12631.5	205	1470845	12631.5	204
"39068"	1471002	20843.7	361	1471001	20843.7	360
"39068"	1471156	27437.5	515	1471155	27437.5	514
"39068"	1471203	29887.0	562	1471202	29887.0	561
"39068"	1471275	32834.7	634	1471274	32834.7	633
"39068"	1471329	35707.7	688	1471328	35707.7	687
"39068"	1471410	38702.0	769	1471409	38702.0	768
"39068"	1471486	42593.6	845	1471485	42593.6	844
"39068"	1471515	44406.1	874	1471514	44406.1	873
"39068"	1471532	46457.2	891	1471531	46457.2	890
"39068"	1471587	50053.0	946	1471586	50053.0	945
"39068"	1471624	52038.7	983	1471623	52038.7	982
"39068"	1471664	54228.5	1023	1471663	54228.5	1022
"39068"	1471734	57770.6	1093	1471733	57770.6	1092
"39068"	1471802	61758.5	1161	1471801	61758.5	1160
"39068"	1472065	73543.5	1424	1472064	73543.5	1423
"39068"	1472216	76707.2	1575	1472215	76707.2	1574
"39068"	1472249	79048.7	1608	1472248	79048.7	1607
"39068"	1472305	83186.9	1664	1472304	83186.9	1663
"39068"	1472387	86670.2	1746	1472386	86670.2	1745
"39068"	1472468	88600.8	1827	1472467	88600.8	1826
"39068"	1472562	91992.0	1921	1472561	91992.0	1920
"39068"	1472684	96103.6	2043	1472683	96103.6	2042
"39068"	1472863	100996.3	2222	1472862	100996.3	2221
"39068"	1473040	107481.4	2399	1473039	107481.4	2398
"39068"	1473397	118217.0	2756	1473396	118217.0	2755
"39068"	1473562	123890.4	2921	1473561	123890.4	2920
"39068"	1473630	129182.9	2989	1473629	129182.9	2988
"39068"	1473741	134007.2	3100	1473740	134007.2	3099
"39068"	1473830	139284.0	3189	1473829	139284.0	3188
"39068"	1473914	143222.0	3273	1473913	143222.0	3272
"39068"	1473965	145499.9	3324	1473964	145499.9	3323
"39068"	1474070	147266.4	3429	1474069	147266.4	3428
"39068"	1474102	149266.7	3461	1474101	149266.7	3460
"39068"	1474236	156197.5	3595	1474235	156197.5	3594
"39068"	1474348	159334.4	3707	1474347	159334.4	3706
"39068"	1474457	165426.5	3816	1474456	165426.5	3815
"39068"	1474481	166935.7	3840	1474480	166935.7	3839
"39068"	1474607	177154.4	3966	1474606	177154.4	3965
"39068"	1474701	185229.3	4060	1474700	185229.3	4059
"39068"	1474866	195188.5	4225	1474865	195188.5	4224
"39068"	1474939	196726.1	4298	1474938	196726.1	4297
"39068"	1475274	214819.6	4633	1475273	214819.6	4632
"39068"	1475460	224192.7	4819	1475459	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"
261	"48071"
35	"48073"
256	"48062"
212	"47985"
339	"24601"

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 11858 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"	87
"trips.txt"	"trip_short_name"	"3!AG"	309
"trips.txt"	"trip_short_name"	"5_HG"	458

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.
330	"29420"	"7429613"	6500	"8013"	"Balninkai"	[55.293757,25.120737000000002]	147.47788595097236
508	"29615"	"7432118"	6869	"13220"	"Laukuva"	[55.621511000000005,22.239248000000003]	134.78370867362614
591	"29616"	"7432119"	6917	"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