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 4109 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"	515779	85572.2	2359	515778	85572.2	2358	0.11119510090982554
"19582"	512200	97069.6	2672	512199	97069.6	2671	0.11119510090982554
"30024"	1307124	104239.5	1993	1307123	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 1988 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"	523688	115749.9	3025	523687	115749.9	3024
"19582"	510375	35083.3	847	510374	35083.3	846
"29024"	673277	148042.4	3038	673276	148042.4	3037
"30025"	1311180	128479.9	2455	1311179	128479.9	2454
"29389"	1070403	137920.1	2829	1070402	137920.1	2828
"39068"	1546294	1205.5	24	1546293	1205.5	23
"39068"	1546475	12631.5	205	1546474	12631.5	204
"39068"	1546631	20843.7	361	1546630	20843.7	360
"39068"	1546785	27437.5	515	1546784	27437.5	514
"39068"	1546832	29887.0	562	1546831	29887.0	561
"39068"	1546904	32834.7	634	1546903	32834.7	633
"39068"	1546958	35707.7	688	1546957	35707.7	687
"39068"	1547039	38702.0	769	1547038	38702.0	768
"39068"	1547115	42593.6	845	1547114	42593.6	844
"39068"	1547144	44406.1	874	1547143	44406.1	873
"39068"	1547161	46457.2	891	1547160	46457.2	890
"39068"	1547216	50053.0	946	1547215	50053.0	945
"39068"	1547253	52038.7	983	1547252	52038.7	982
"39068"	1547293	54228.5	1023	1547292	54228.5	1022
"39068"	1547363	57770.6	1093	1547362	57770.6	1092
"39068"	1547431	61758.5	1161	1547430	61758.5	1160
"39068"	1547694	73543.5	1424	1547693	73543.5	1423
"39068"	1547845	76707.2	1575	1547844	76707.2	1574
"39068"	1547878	79048.7	1608	1547877	79048.7	1607
"39068"	1547934	83186.9	1664	1547933	83186.9	1663
"39068"	1548016	86670.2	1746	1548015	86670.2	1745
"39068"	1548097	88600.8	1827	1548096	88600.8	1826
"39068"	1548191	91992.0	1921	1548190	91992.0	1920
"39068"	1548313	96103.6	2043	1548312	96103.6	2042
"39068"	1548492	100996.3	2222	1548491	100996.3	2221
"39068"	1548669	107481.4	2399	1548668	107481.4	2398
"39068"	1549026	118217.0	2756	1549025	118217.0	2755
"39068"	1549191	123890.4	2921	1549190	123890.4	2920
"39068"	1549259	129182.9	2989	1549258	129182.9	2988
"39068"	1549370	134007.2	3100	1549369	134007.2	3099
"39068"	1549459	139284.0	3189	1549458	139284.0	3188
"39068"	1549543	143222.0	3273	1549542	143222.0	3272
"39068"	1549594	145499.9	3324	1549593	145499.9	3323
"39068"	1549699	147266.4	3429	1549698	147266.4	3428
"39068"	1549731	149266.7	3461	1549730	149266.7	3460
"39068"	1549865	156197.5	3595	1549864	156197.5	3594
"39068"	1549977	159334.4	3707	1549976	159334.4	3706
"39068"	1550086	165426.5	3816	1550085	165426.5	3815
"39068"	1550110	166935.7	3840	1550109	166935.7	3839
"39068"	1550236	177154.4	3966	1550235	177154.4	3965
"39068"	1550330	185229.3	4060	1550329	185229.3	4059
"39068"	1550495	195188.5	4225	1550494	195188.5	4224
"39068"	1550568	196726.1	4298	1550567	196726.1	4297
"39068"	1550903	214819.6	4633	1550902	214819.6	4632
"39068"	1551089	224192.7	4819	1551088	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"
258	"48071"
36	"48073"
253	"48062"
214	"47985"
325	"24602"

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 11639 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"	439
"trips.txt"	"trip_short_name"	"4!AG"	462

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.
373	"29329"	"7418310"	6509	"13220"	"Laukuva"	[55.621511000000005,22.239248000000003]	134.78370867362614
339	"29328"	"7418309"	6486	"13165"	"Laukuva"	[55.621733,22.238377]	137.2756450378002
362	"29420"	"7429613"	7031	"8013"	"Balninkai"	[55.293757,25.120737000000002]	147.47788595097236
130	"29615"	"7432118"	7525	"13220"	"Laukuva"	[55.621511000000005,22.239248000000003]	134.78370867362614
418	"29616"	"7432119"	7573	"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