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"	1127987	85572.2	2359	1127986	85572.2	2358	0.11119510090982554
"19582"	1232723	97069.6	2672	1232722	97069.6	2671	0.11119510090982554
"30024"	99465	104239.5	1993	99464	104239.5	1992	0.11119510090982554
"2681"	713459	135913.8	2471	713458	135913.8	2470	0.12752942403551987
"2681"	713462	135914.0	2474	713461	135914.0	2473	0.11119510090982554
"2681"	713465	135914.2	2477	713464	135914.2	2476	0.11119510090982554
"2681"	713469	135914.5	2481	713468	135914.5	2480	0.11119510232447394
"2681"	713472	135914.7	2484	713471	135914.7	2483	0.11119510161714974
"2681"	713475	135914.9	2487	713474	135914.9	2486	0.12752941555597483
"2681"	713484	135915.5	2496	713483	135915.5	2495	0.11119510090982554
"2681"	713487	135915.7	2499	713486	135915.7	2498	0.11119510161714974
"2681"	713490	135915.9	2502	713489	135915.9	2501	0.11119510090982554
"2681"	713496	135916.3	2508	713495	135916.3	2507	0.06244516681738816
"2681"	713500	135916.6	2512	713499	135916.6	2511	0.11119510161714974
"2681"	713509	135917.2	2521	713508	135917.2	2520	0.11119510090982554
"2681"	713512	135917.4	2524	713511	135917.4	2523	0.12752939825777979
"2681"	713515	135917.6	2527	713514	135917.6	2526	0.11119510161714974
"2681"	713524	135918.2	2536	713523	135918.2	2535	0.11119510161714974
"2681"	713527	135918.4	2539	713526	135918.4	2538	0.11119510090982554
"2681"	713530	135918.6	2542	713529	135918.6	2541	0.11119510090982554
"2681"	713534	135918.9	2546	713533	135918.9	2545	0.11119510161714974
"2681"	713537	135919.1	2549	713536	135919.1	2548	0.11119510090982554
"2681"	713540	135919.3	2552	713539	135919.3	2551	0.11119510090982554
"2681"	713549	135919.9	2561	713548	135919.9	2560	0.12752938095958766
"2681"	713552	135920.1	2564	713551	135920.1	2563	0.11119510161714974
"2681"	713563	135920.8	2575	713562	135920.8	2574	0.11119510161714974
"2681"	713565	135920.9	2577	713564	135920.9	2576	0.11119510090982554
"2681"	713568	135921.1	2580	713567	135921.1	2579	0.11119510161714974
"2681"	713576	135921.6	2588	713575	135921.6	2587	0.11119510090982554
"2681"	713581	135921.9	2593	713580	135921.9	2592	0.11119510090982554
"2681"	713583	135922.0	2595	713582	135922.0	2594	0.11119510161714974
"2681"	713594	135922.7	2606	713593	135922.7	2605	0.11119510161714974
"2681"	713596	135922.8	2608	713595	135922.8	2607	0.11119510090982554
"2681"	713599	135923.0	2611	713598	135923.0	2610	0.11119510161714974
"2681"	713601	135923.1	2613	713600	135923.1	2612	0.11119510090982554
"2681"	713607	135923.5	2619	713606	135923.5	2618	0.1275293557985862
"2681"	713609	135923.6	2621	713608	135923.6	2620	0.11119510161714974
"2681"	713612	135923.8	2624	713611	135923.8	2623	0.11119510090982554
"2681"	713614	135923.9	2626	713613	135923.9	2625	0.11119510232447394
"2681"	713619	135924.2	2631	713618	135924.2	2630	0.11119510161714974
"2681"	713625	135924.6	2637	713624	135924.6	2636	0.11119510161714974
"2681"	713627	135924.7	2639	713626	135924.7	2638	0.11119510090982554
"2681"	713630	135924.9	2642	713629	135924.9	2641	0.11119510090982554
"2681"	713632	135925.0	2644	713631	135925.0	2643	0.11119510090982554
"2681"	713640	135925.5	2652	713639	135925.5	2651	0.11119510161714974
"2681"	713643	135925.7	2655	713642	135925.7	2654	0.11119510090982554
"2681"	713645	135925.8	2657	713644	135925.8	2656	0.11119510161714974
"2681"	713656	135926.5	2668	713655	135926.5	2667	0.11119510161714974
"2681"	713658	135926.6	2670	713657	135926.6	2669	0.11119510090982554
"2681"	713661	135926.8	2673	713660	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 1779 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"	1236968	115749.9	3025	1236967	115749.9	3024
"19582"	1230898	35083.3	847	1230897	35083.3	846
"29024"	593392	148042.4	3038	593391	148042.4	3037
"30025"	175140	128479.9	2455	175139	128479.9	2454
"29389"	1529621	137920.1	2829	1529620	137920.1	2828
"2681"	712695	93134.7	1707	712694	93134.7	1706
"2681"	713456	135913.6	2468	713455	135913.6	2467
"2681"	713478	135915.1	2490	713477	135915.1	2489
"2681"	713481	135915.3	2493	713480	135915.3	2492
"2681"	713493	135916.1	2505	713492	135916.1	2504
"2681"	713503	135916.8	2515	713502	135916.8	2514
"2681"	713506	135917.0	2518	713505	135917.0	2517
"2681"	713518	135917.8	2530	713517	135917.8	2529
"2681"	713521	135918.0	2533	713520	135918.0	2532
"2681"	713543	135919.5	2555	713542	135919.5	2554
"2681"	713546	135919.7	2558	713545	135919.7	2557
"2681"	713555	135920.3	2567	713554	135920.3	2566
"2681"	713558	135920.5	2570	713557	135920.5	2569
"2681"	713560	135920.6	2572	713559	135920.6	2571
"2681"	713571	135921.3	2583	713570	135921.3	2582
"2681"	713573	135921.4	2585	713572	135921.4	2584
"2681"	713578	135921.7	2590	713577	135921.7	2589
"2681"	713586	135922.2	2598	713585	135922.2	2597
"2681"	713589	135922.4	2601	713588	135922.4	2600
"2681"	713591	135922.5	2603	713590	135922.5	2602
"2681"	713604	135923.3	2616	713603	135923.3	2615
"2681"	713617	135924.1	2629	713616	135924.1	2628
"2681"	713622	135924.4	2634	713621	135924.4	2633
"2681"	713635	135925.2	2647	713634	135925.2	2646
"2681"	713637	135925.3	2649	713636	135925.3	2648
"2681"	713648	135926.0	2660	713647	135926.0	2659
"2681"	713650	135926.1	2662	713649	135926.1	2661
"2681"	713653	135926.3	2665	713652	135926.3	2664
"2681"	713664	135927.0	2676	713663	135927.0	2675
"2681"	713667	135927.2	2679	713666	135927.2	2678
"2681"	713678	135927.9	2690	713677	135927.9	2689
"2681"	713681	135928.1	2693	713680	135928.1	2692
"2681"	713686	135928.4	2698	713685	135928.4	2697
"2681"	713695	135929.0	2707	713694	135929.0	2706
"2681"	713697	135929.1	2709	713696	135929.1	2708
"2681"	713700	135929.3	2712	713699	135929.3	2711
"2681"	713709	135929.9	2721	713708	135929.9	2720
"2681"	713711	135930.0	2723	713710	135930.0	2722
"2681"	713714	135930.2	2726	713713	135930.2	2725
"2681"	713723	135930.8	2735	713722	135930.8	2734
"2681"	713728	135931.1	2740	713727	135931.1	2739
"2681"	713737	135931.7	2749	713736	135931.7	2748
"2681"	713751	135932.6	2763	713750	135932.6	2762
"2681"	713823	135938.4	2835	713822	135938.4	2834
"2681"	713839	135939.7	2851	713838	135939.7	2850

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.
322	"24602"

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file.	csvRowNumber (?) The row of the faulty record.	fieldName (?) Faulty record's field name.	fieldValue (?) Faulty value.
"stops.txt"	4	"stop_name"	"Kauno "

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 11765 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"	44
"trips.txt"	"trip_short_name"	"3!AG"	245
"trips.txt"	"trip_short_name"	"2*QS"	378
"trips.txt"	"trip_short_name"	"1*QP"	587

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.
590	"29329"	"7418310"	7290	"13220"	"Laukuva"	[55.621511000000005,22.239248000000003]	134.78370867362614
454	"29328"	"7418309"	7267	"13165"	"Laukuva"	[55.621733,22.238377]	137.2756450378002
569	"29420"	"7429613"	7888	"8013"	"Balninkai"	[55.293757,25.120737000000002]	147.47788595097236
340	"29615"	"7432118"	8382	"13220"	"Laukuva"	[55.621511000000005,22.239248000000003]	134.78370867362614
604	"29616"	"7432119"	8430	"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.
"routes.txt"	"eligibility_restricted"	10
"routes.txt"	"bikes_allowed"	11
"routes.txt"	"regional_fare_card"	12
"stops.txt"	"vehicle_type"	13
"stops.txt"	"mta_stop_id"	16
"stops.txt"	"regional_fare_card"	17
"stop_times.txt"	"note_id"	3
"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