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"	509026	85572.2	2359	509025	85572.2	2358	0.11119510090982554
"19582"	505447	97069.6	2672	505446	97069.6	2671	0.11119510090982554
"30024"	1292655	104239.5	1993	1292654	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 2129 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"	516935	115749.9	3025	516934	115749.9	3024
"19582"	503622	35083.3	847	503621	35083.3	846
"29024"	666524	148042.4	3038	666523	148042.4	3037
"30025"	1296711	128479.9	2455	1296710	128479.9	2454
"29389"	1063650	137920.1	2829	1063649	137920.1	2828
"39068"	1522903	1205.5	24	1522902	1205.5	23
"39068"	1523084	12631.5	205	1523083	12631.5	204
"39068"	1523240	20843.7	361	1523239	20843.7	360
"39068"	1523394	27437.5	515	1523393	27437.5	514
"39068"	1523441	29887.0	562	1523440	29887.0	561
"39068"	1523513	32834.7	634	1523512	32834.7	633
"39068"	1523567	35707.7	688	1523566	35707.7	687
"39068"	1523648	38702.0	769	1523647	38702.0	768
"39068"	1523724	42593.6	845	1523723	42593.6	844
"39068"	1523753	44406.1	874	1523752	44406.1	873
"39068"	1523770	46457.2	891	1523769	46457.2	890
"39068"	1523825	50053.0	946	1523824	50053.0	945
"39068"	1523862	52038.7	983	1523861	52038.7	982
"39068"	1523902	54228.5	1023	1523901	54228.5	1022
"39068"	1523972	57770.6	1093	1523971	57770.6	1092
"39068"	1524040	61758.5	1161	1524039	61758.5	1160
"39068"	1524303	73543.5	1424	1524302	73543.5	1423
"39068"	1524454	76707.2	1575	1524453	76707.2	1574
"39068"	1524487	79048.7	1608	1524486	79048.7	1607
"39068"	1524543	83186.9	1664	1524542	83186.9	1663
"39068"	1524625	86670.2	1746	1524624	86670.2	1745
"39068"	1524706	88600.8	1827	1524705	88600.8	1826
"39068"	1524800	91992.0	1921	1524799	91992.0	1920
"39068"	1524922	96103.6	2043	1524921	96103.6	2042
"39068"	1525101	100996.3	2222	1525100	100996.3	2221
"39068"	1525278	107481.4	2399	1525277	107481.4	2398
"39068"	1525635	118217.0	2756	1525634	118217.0	2755
"39068"	1525800	123890.4	2921	1525799	123890.4	2920
"39068"	1525868	129182.9	2989	1525867	129182.9	2988
"39068"	1525979	134007.2	3100	1525978	134007.2	3099
"39068"	1526068	139284.0	3189	1526067	139284.0	3188
"39068"	1526152	143222.0	3273	1526151	143222.0	3272
"39068"	1526203	145499.9	3324	1526202	145499.9	3323
"39068"	1526308	147266.4	3429	1526307	147266.4	3428
"39068"	1526340	149266.7	3461	1526339	149266.7	3460
"39068"	1526474	156197.5	3595	1526473	156197.5	3594
"39068"	1526586	159334.4	3707	1526585	159334.4	3706
"39068"	1526695	165426.5	3816	1526694	165426.5	3815
"39068"	1526719	166935.7	3840	1526718	166935.7	3839
"39068"	1526845	177154.4	3966	1526844	177154.4	3965
"39068"	1526939	185229.3	4060	1526938	185229.3	4059
"39068"	1527104	195188.5	4225	1527103	195188.5	4224
"39068"	1527177	196726.1	4298	1527176	196726.1	4297
"39068"	1527512	214819.6	4633	1527511	214819.6	4632
"39068"	1527698	224192.7	4819	1527697	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.
22	"43774"
351	"43770"
268	"48071"
36	"48073"
220	"47985"
342	"24602"
280	"85895"
263	"48062"

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 11806 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"	100
"trips.txt"	"trip_short_name"	"4!AG"	193
"trips.txt"	"trip_short_name"	"3!AG"	328

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.
161	"29329"	"7418310"	6324	"13220"	"Laukuva"	[55.621511000000005,22.239248000000003]	134.78370867362614
327	"29328"	"7418309"	6301	"13165"	"Laukuva"	[55.621733,22.238377]	137.2756450378002
39	"29420"	"7429613"	6846	"8013"	"Balninkai"	[55.293757,25.120737000000002]	147.47788595097236
441	"29615"	"7432118"	7215	"13220"	"Laukuva"	[55.621511000000005,22.239248000000003]	134.78370867362614
106	"29616"	"7432119"	7263	"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