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 3857 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"	1126449	104239.5	1993	1126448	104239.5	1992	0.11119510090982554
"2681"	201508	135913.8	2471	201507	135913.8	2470	0.12752942403551987
"2681"	201511	135914.0	2474	201510	135914.0	2473	0.11119510090982554
"2681"	201514	135914.2	2477	201513	135914.2	2476	0.11119510090982554
"2681"	201518	135914.5	2481	201517	135914.5	2480	0.11119510232447394
"2681"	201521	135914.7	2484	201520	135914.7	2483	0.11119510161714974
"2681"	201524	135914.9	2487	201523	135914.9	2486	0.12752941555597483
"2681"	201533	135915.5	2496	201532	135915.5	2495	0.11119510090982554
"2681"	201536	135915.7	2499	201535	135915.7	2498	0.11119510161714974
"2681"	201539	135915.9	2502	201538	135915.9	2501	0.11119510090982554
"2681"	201545	135916.3	2508	201544	135916.3	2507	0.06244516681738816
"2681"	201549	135916.6	2512	201548	135916.6	2511	0.11119510161714974
"2681"	201558	135917.2	2521	201557	135917.2	2520	0.11119510090982554
"2681"	201561	135917.4	2524	201560	135917.4	2523	0.12752939825777979
"2681"	201564	135917.6	2527	201563	135917.6	2526	0.11119510161714974
"2681"	201573	135918.2	2536	201572	135918.2	2535	0.11119510161714974
"2681"	201576	135918.4	2539	201575	135918.4	2538	0.11119510090982554
"2681"	201579	135918.6	2542	201578	135918.6	2541	0.11119510090982554
"2681"	201583	135918.9	2546	201582	135918.9	2545	0.11119510161714974
"2681"	201586	135919.1	2549	201585	135919.1	2548	0.11119510090982554
"2681"	201589	135919.3	2552	201588	135919.3	2551	0.11119510090982554
"2681"	201598	135919.9	2561	201597	135919.9	2560	0.12752938095958766
"2681"	201601	135920.1	2564	201600	135920.1	2563	0.11119510161714974
"2681"	201612	135920.8	2575	201611	135920.8	2574	0.11119510161714974
"2681"	201614	135920.9	2577	201613	135920.9	2576	0.11119510090982554
"2681"	201617	135921.1	2580	201616	135921.1	2579	0.11119510161714974
"2681"	201625	135921.6	2588	201624	135921.6	2587	0.11119510090982554
"2681"	201630	135921.9	2593	201629	135921.9	2592	0.11119510090982554
"2681"	201632	135922.0	2595	201631	135922.0	2594	0.11119510161714974
"2681"	201643	135922.7	2606	201642	135922.7	2605	0.11119510161714974
"2681"	201645	135922.8	2608	201644	135922.8	2607	0.11119510090982554
"2681"	201648	135923.0	2611	201647	135923.0	2610	0.11119510161714974
"2681"	201650	135923.1	2613	201649	135923.1	2612	0.11119510090982554
"2681"	201656	135923.5	2619	201655	135923.5	2618	0.1275293557985862
"2681"	201658	135923.6	2621	201657	135923.6	2620	0.11119510161714974
"2681"	201661	135923.8	2624	201660	135923.8	2623	0.11119510090982554
"2681"	201663	135923.9	2626	201662	135923.9	2625	0.11119510232447394
"2681"	201668	135924.2	2631	201667	135924.2	2630	0.11119510161714974
"2681"	201674	135924.6	2637	201673	135924.6	2636	0.11119510161714974
"2681"	201676	135924.7	2639	201675	135924.7	2638	0.11119510090982554
"2681"	201679	135924.9	2642	201678	135924.9	2641	0.11119510090982554
"2681"	201681	135925.0	2644	201680	135925.0	2643	0.11119510090982554
"2681"	201689	135925.5	2652	201688	135925.5	2651	0.11119510161714974
"2681"	201692	135925.7	2655	201691	135925.7	2654	0.11119510090982554
"2681"	201694	135925.8	2657	201693	135925.8	2656	0.11119510161714974
"2681"	201705	135926.5	2668	201704	135926.5	2667	0.11119510161714974
"2681"	201707	135926.6	2670	201706	135926.6	2669	0.11119510090982554
"2681"	201710	135926.8	2673	201709	135926.8	2672	0.11119510090982554
"2681"	201719	135927.4	2682	201718	135927.4	2681	0.11119510161714974
"2681"	201721	135927.5	2684	201720	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 3441 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"	556943	148042.4	3038	556942	148042.4	3037
"30025"	1130505	128479.9	2455	1130504	128479.9	2454
"29389"	910191	137920.1	2829	910190	137920.1	2828
"39068"	1324473	1205.5	24	1324472	1205.5	23
"39068"	1324654	12631.5	205	1324653	12631.5	204
"39068"	1324810	20843.7	361	1324809	20843.7	360
"39068"	1324964	27437.5	515	1324963	27437.5	514
"39068"	1325011	29887.0	562	1325010	29887.0	561
"39068"	1325083	32834.7	634	1325082	32834.7	633
"39068"	1325137	35707.7	688	1325136	35707.7	687
"39068"	1325218	38702.0	769	1325217	38702.0	768
"39068"	1325294	42593.6	845	1325293	42593.6	844
"39068"	1325323	44406.1	874	1325322	44406.1	873
"39068"	1325340	46457.2	891	1325339	46457.2	890
"39068"	1325395	50053.0	946	1325394	50053.0	945
"39068"	1325432	52038.7	983	1325431	52038.7	982
"39068"	1325472	54228.5	1023	1325471	54228.5	1022
"39068"	1325542	57770.6	1093	1325541	57770.6	1092
"39068"	1325610	61758.5	1161	1325609	61758.5	1160
"39068"	1325873	73543.5	1424	1325872	73543.5	1423
"39068"	1326024	76707.2	1575	1326023	76707.2	1574
"39068"	1326057	79048.7	1608	1326056	79048.7	1607
"39068"	1326113	83186.9	1664	1326112	83186.9	1663
"39068"	1326195	86670.2	1746	1326194	86670.2	1745
"39068"	1326276	88600.8	1827	1326275	88600.8	1826
"39068"	1326370	91992.0	1921	1326369	91992.0	1920
"39068"	1326492	96103.6	2043	1326491	96103.6	2042
"39068"	1326671	100996.3	2222	1326670	100996.3	2221
"39068"	1326848	107481.4	2399	1326847	107481.4	2398
"39068"	1327205	118217.0	2756	1327204	118217.0	2755
"39068"	1327370	123890.4	2921	1327369	123890.4	2920
"39068"	1327438	129182.9	2989	1327437	129182.9	2988
"39068"	1327549	134007.2	3100	1327548	134007.2	3099
"39068"	1327638	139284.0	3189	1327637	139284.0	3188
"39068"	1327722	143222.0	3273	1327721	143222.0	3272
"39068"	1327773	145499.9	3324	1327772	145499.9	3323
"39068"	1327878	147266.4	3429	1327877	147266.4	3428
"39068"	1327910	149266.7	3461	1327909	149266.7	3460
"39068"	1328044	156197.5	3595	1328043	156197.5	3594
"39068"	1328156	159334.4	3707	1328155	159334.4	3706
"39068"	1328265	165426.5	3816	1328264	165426.5	3815
"39068"	1328289	166935.7	3840	1328288	166935.7	3839
"39068"	1328415	177154.4	3966	1328414	177154.4	3965
"39068"	1328509	185229.3	4060	1328508	185229.3	4059
"39068"	1328674	195188.5	4225	1328673	195188.5	4224
"39068"	1328747	196726.1	4298	1328746	196726.1	4297
"39068"	1329082	214819.6	4633	1329081	214819.6	4632
"39068"	1329268	224192.7	4819	1329267	224192.7	4818
"39068"	1329345	227224.2	4896	1329344	227224.2	4895
"2681"	200744	93134.7	1707	200743	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.
83	"44515"
78	"44517"
19	"43774"
246	"43756"
272	"48071"
32	"48073"
219	"47985"
349	"24601"
267	"48062"
44	"74979"
331	"74978"
45	"74744"

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 11919 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"	36
"trips.txt"	"trip_short_name"	"4!AG"	340
"trips.txt"	"trip_short_name"	"3!AG"	350

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.
508	"29420"	"7429613"	5498	"8013"	"Balninkai"	[55.293757,25.120737000000002]	147.47788595097236
546	"29615"	"7432118"	5867	"13220"	"Laukuva"	[55.621511000000005,22.239248000000003]	134.78370867362614
624	"29616"	"7432119"	5915	"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.
365	"54901"	"8226897"	11326	"45588"	"Balbieriškis"	[54.524770000000004,23.885448]	11325	"45784"	"Balbieriškis"	[54.525039387689404,23.885400507640224]
177	"54903"	"8241502"	11695	"45588"	"Balbieriškis"	[54.524770000000004,23.885448]	11694	"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