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"	538522	85572.2	2359	538521	85572.2	2358	0.11119510090982554
"19582"	534943	97069.6	2672	534942	97069.6	2671	0.11119510090982554
"30024"	1360527	104239.5	1993	1360526	104239.5	1992	0.11119510090982554
"2681"	232284	135913.8	2471	232283	135913.8	2470	0.12752942403551987
"2681"	232287	135914.0	2474	232286	135914.0	2473	0.11119510090982554
"2681"	232290	135914.2	2477	232289	135914.2	2476	0.11119510090982554
"2681"	232294	135914.5	2481	232293	135914.5	2480	0.11119510232447394
"2681"	232297	135914.7	2484	232296	135914.7	2483	0.11119510161714974
"2681"	232300	135914.9	2487	232299	135914.9	2486	0.12752941555597483
"2681"	232309	135915.5	2496	232308	135915.5	2495	0.11119510090982554
"2681"	232312	135915.7	2499	232311	135915.7	2498	0.11119510161714974
"2681"	232315	135915.9	2502	232314	135915.9	2501	0.11119510090982554
"2681"	232321	135916.3	2508	232320	135916.3	2507	0.06244516681738816
"2681"	232325	135916.6	2512	232324	135916.6	2511	0.11119510161714974
"2681"	232334	135917.2	2521	232333	135917.2	2520	0.11119510090982554
"2681"	232337	135917.4	2524	232336	135917.4	2523	0.12752939825777979
"2681"	232340	135917.6	2527	232339	135917.6	2526	0.11119510161714974
"2681"	232349	135918.2	2536	232348	135918.2	2535	0.11119510161714974
"2681"	232352	135918.4	2539	232351	135918.4	2538	0.11119510090982554
"2681"	232355	135918.6	2542	232354	135918.6	2541	0.11119510090982554
"2681"	232359	135918.9	2546	232358	135918.9	2545	0.11119510161714974
"2681"	232362	135919.1	2549	232361	135919.1	2548	0.11119510090982554
"2681"	232365	135919.3	2552	232364	135919.3	2551	0.11119510090982554
"2681"	232374	135919.9	2561	232373	135919.9	2560	0.12752938095958766
"2681"	232377	135920.1	2564	232376	135920.1	2563	0.11119510161714974
"2681"	232388	135920.8	2575	232387	135920.8	2574	0.11119510161714974
"2681"	232390	135920.9	2577	232389	135920.9	2576	0.11119510090982554
"2681"	232393	135921.1	2580	232392	135921.1	2579	0.11119510161714974
"2681"	232401	135921.6	2588	232400	135921.6	2587	0.11119510090982554
"2681"	232406	135921.9	2593	232405	135921.9	2592	0.11119510090982554
"2681"	232408	135922.0	2595	232407	135922.0	2594	0.11119510161714974
"2681"	232419	135922.7	2606	232418	135922.7	2605	0.11119510161714974
"2681"	232421	135922.8	2608	232420	135922.8	2607	0.11119510090982554
"2681"	232424	135923.0	2611	232423	135923.0	2610	0.11119510161714974
"2681"	232426	135923.1	2613	232425	135923.1	2612	0.11119510090982554
"2681"	232432	135923.5	2619	232431	135923.5	2618	0.1275293557985862
"2681"	232434	135923.6	2621	232433	135923.6	2620	0.11119510161714974
"2681"	232437	135923.8	2624	232436	135923.8	2623	0.11119510090982554
"2681"	232439	135923.9	2626	232438	135923.9	2625	0.11119510232447394
"2681"	232444	135924.2	2631	232443	135924.2	2630	0.11119510161714974
"2681"	232450	135924.6	2637	232449	135924.6	2636	0.11119510161714974
"2681"	232452	135924.7	2639	232451	135924.7	2638	0.11119510090982554
"2681"	232455	135924.9	2642	232454	135924.9	2641	0.11119510090982554
"2681"	232457	135925.0	2644	232456	135925.0	2643	0.11119510090982554
"2681"	232465	135925.5	2652	232464	135925.5	2651	0.11119510161714974
"2681"	232468	135925.7	2655	232467	135925.7	2654	0.11119510090982554
"2681"	232470	135925.8	2657	232469	135925.8	2656	0.11119510161714974
"2681"	232481	135926.5	2668	232480	135926.5	2667	0.11119510161714974
"2681"	232483	135926.6	2670	232482	135926.6	2669	0.11119510090982554
"2681"	232486	135926.8	2673	232485	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"	546431	115749.9	3025	546430	115749.9	3024
"19582"	533118	35083.3	847	533117	35083.3	846
"29024"	713574	148042.4	3038	713573	148042.4	3037
"30025"	1364583	128479.9	2455	1364582	128479.9	2454
"29389"	1114367	137920.1	2829	1114366	137920.1	2828
"2681"	231520	93134.7	1707	231519	93134.7	1706
"2681"	232281	135913.6	2468	232280	135913.6	2467
"2681"	232303	135915.1	2490	232302	135915.1	2489
"2681"	232306	135915.3	2493	232305	135915.3	2492
"2681"	232318	135916.1	2505	232317	135916.1	2504
"2681"	232328	135916.8	2515	232327	135916.8	2514
"2681"	232331	135917.0	2518	232330	135917.0	2517
"2681"	232343	135917.8	2530	232342	135917.8	2529
"2681"	232346	135918.0	2533	232345	135918.0	2532
"2681"	232368	135919.5	2555	232367	135919.5	2554
"2681"	232371	135919.7	2558	232370	135919.7	2557
"2681"	232380	135920.3	2567	232379	135920.3	2566
"2681"	232383	135920.5	2570	232382	135920.5	2569
"2681"	232385	135920.6	2572	232384	135920.6	2571
"2681"	232396	135921.3	2583	232395	135921.3	2582
"2681"	232398	135921.4	2585	232397	135921.4	2584
"2681"	232403	135921.7	2590	232402	135921.7	2589
"2681"	232411	135922.2	2598	232410	135922.2	2597
"2681"	232414	135922.4	2601	232413	135922.4	2600
"2681"	232416	135922.5	2603	232415	135922.5	2602
"2681"	232429	135923.3	2616	232428	135923.3	2615
"2681"	232442	135924.1	2629	232441	135924.1	2628
"2681"	232447	135924.4	2634	232446	135924.4	2633
"2681"	232460	135925.2	2647	232459	135925.2	2646
"2681"	232462	135925.3	2649	232461	135925.3	2648
"2681"	232473	135926.0	2660	232472	135926.0	2659
"2681"	232475	135926.1	2662	232474	135926.1	2661
"2681"	232478	135926.3	2665	232477	135926.3	2664
"2681"	232489	135927.0	2676	232488	135927.0	2675
"2681"	232492	135927.2	2679	232491	135927.2	2678
"2681"	232503	135927.9	2690	232502	135927.9	2689
"2681"	232506	135928.1	2693	232505	135928.1	2692
"2681"	232511	135928.4	2698	232510	135928.4	2697
"2681"	232520	135929.0	2707	232519	135929.0	2706
"2681"	232522	135929.1	2709	232521	135929.1	2708
"2681"	232525	135929.3	2712	232524	135929.3	2711
"2681"	232534	135929.9	2721	232533	135929.9	2720
"2681"	232536	135930.0	2723	232535	135930.0	2722
"2681"	232539	135930.2	2726	232538	135930.2	2725
"2681"	232548	135930.8	2735	232547	135930.8	2734
"2681"	232553	135931.1	2740	232552	135931.1	2739
"2681"	232562	135931.7	2749	232561	135931.7	2748
"2681"	232576	135932.6	2763	232575	135932.6	2762
"2681"	232648	135938.4	2835	232647	135938.4	2834
"2681"	232664	135939.7	2851	232663	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.
25	"43774"
256	"48071"
43	"48073"
253	"48062"
218	"47985"
88	"47982"
355	"47983"
217	"47981"
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 11770 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"	"3!AG"	8
"trips.txt"	"trip_short_name"	"1*QP"	30
"trips.txt"	"trip_short_name"	"4!AG"	231
"trips.txt"	"trip_short_name"	"2*QS"	361

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.
134	"29329"	"7418310"	7268	"13220"	"Laukuva"	[55.621511000000005,22.239248000000003]	134.78370867362614
330	"29328"	"7418309"	7245	"13165"	"Laukuva"	[55.621733,22.238377]	137.2756450378002
68	"29420"	"7429613"	7866	"8013"	"Balninkai"	[55.293757,25.120737000000002]	147.47788595097236
318	"29615"	"7432118"	8360	"13220"	"Laukuva"	[55.621511000000005,22.239248000000003]	134.78370867362614
51	"29616"	"7432119"	8408	"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