GTFS Schedule Validation Report

trip_distance_exceeds_shape_distance

The distance between the last shape point and last stop point is greater than or equal to the 11.1m threshold.

You can see more about this notice here.

tripId (?) The faulty record's trip id.	shapeId (?) The faulty record's shape id.	maxTripDistanceTraveled (?) The faulty record's trip max distance traveled.	maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled.	geoDistanceToShape (?) The distance in meters between the shape and the stop.
"41241048d8fd11eb81f895f12d37f103"	"41241048d8fd11eb81f895f12d37f103_0"	245700.7	245631.64	36.62079918240964
"fb77e684a48411ecb2c7dfdc289e86a3"	"fb77e684a48411ecb2c7dfdc289e86a3_0"	1491799.6	1458205.73	28.28622810065571
"94703538abb311ec8451fb554f7d7763"	"94703538abb311ec8451fb554f7d7763_0"	339665.9	339570.53	22.086320530832957
"30d22c06aed511ec8451910a3a14270a"	"30d22c06aed511ec8451910a3a14270a_0"	524642.2	524494.99	28.108277793572533
"f9f1677bbf3211eca2d8d74adbd6483e"	"f9f1677bbf3211eca2d8d74adbd6483e_0"	703199.0	688211.73	562.1899345120769
"8cedc87bd53111eca27d2bb7cf629936"	"8cedc87bd53111eca27d2bb7cf629936_0"	101855.5	101826.92	36.62079918240964

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.

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.
"307af6bf0b1b11ec9d5acb2e57266606_0"	57944	145045.67	2064	57943	145045.67	2063	0.08360709038992127
"2f1bb4cd0b1b11ec9d5aa5d961774512_0"	53839	150061.06	2692	53838	150061.06	2691	0.08360709038992127

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 2266 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`.
"307af6bf0b1b11ec9d5acb2e57266606_0"	55894	470.51	14	55893	470.51	13
"307af6bf0b1b11ec9d5acb2e57266606_0"	55900	702.37	20	55899	702.37	19
"307af6bf0b1b11ec9d5acb2e57266606_0"	55932	2101.89	52	55931	2101.89	51
"307af6bf0b1b11ec9d5acb2e57266606_0"	55951	3072.48	71	55950	3072.48	70
"307af6bf0b1b11ec9d5acb2e57266606_0"	55964	3461.76	84	55963	3461.76	83
"307af6bf0b1b11ec9d5acb2e57266606_0"	55971	3987.58	91	55970	3987.58	90
"307af6bf0b1b11ec9d5acb2e57266606_0"	56093	27098.36	213	56092	27098.36	212
"307af6bf0b1b11ec9d5acb2e57266606_0"	56117	28226.34	237	56116	28226.34	236
"307af6bf0b1b11ec9d5acb2e57266606_0"	56142	33244.73	262	56141	33244.73	261
"307af6bf0b1b11ec9d5acb2e57266606_0"	56150	33605.38	270	56149	33605.38	269
"307af6bf0b1b11ec9d5acb2e57266606_0"	56161	34088.24	281	56160	34088.24	280
"307af6bf0b1b11ec9d5acb2e57266606_0"	56178	34747.78	298	56177	34747.78	297
"307af6bf0b1b11ec9d5acb2e57266606_0"	56179	34747.78	299	56178	34747.78	298
"307af6bf0b1b11ec9d5acb2e57266606_0"	56180	34747.78	300	56179	34747.78	299
"307af6bf0b1b11ec9d5acb2e57266606_0"	56196	35396.58	316	56195	35396.58	315
"307af6bf0b1b11ec9d5acb2e57266606_0"	56202	35559.94	322	56201	35559.94	321
"307af6bf0b1b11ec9d5acb2e57266606_0"	56210	35998.75	330	56209	35998.75	329
"307af6bf0b1b11ec9d5acb2e57266606_0"	56227	41551.33	347	56226	41551.33	346
"307af6bf0b1b11ec9d5acb2e57266606_0"	56251	42676.4	371	56250	42676.4	370
"307af6bf0b1b11ec9d5acb2e57266606_0"	56437	72681.04	557	56436	72681.04	556
"307af6bf0b1b11ec9d5acb2e57266606_0"	56772	88939.75	892	56771	88939.75	891
"307af6bf0b1b11ec9d5acb2e57266606_0"	56790	89788.46	910	56789	89788.46	909
"307af6bf0b1b11ec9d5acb2e57266606_0"	56793	89870.48	913	56792	89870.48	912
"307af6bf0b1b11ec9d5acb2e57266606_0"	56796	90051.45	916	56795	90051.45	915
"307af6bf0b1b11ec9d5acb2e57266606_0"	56798	90141.91	918	56797	90141.91	917
"307af6bf0b1b11ec9d5acb2e57266606_0"	56800	90268.12	920	56799	90268.12	919
"307af6bf0b1b11ec9d5acb2e57266606_0"	56801	90268.12	921	56800	90268.12	920
"307af6bf0b1b11ec9d5acb2e57266606_0"	56802	90268.12	922	56801	90268.12	921
"307af6bf0b1b11ec9d5acb2e57266606_0"	56804	90394.32	924	56803	90394.32	923
"307af6bf0b1b11ec9d5acb2e57266606_0"	56806	90484.78	926	56805	90484.78	925
"307af6bf0b1b11ec9d5acb2e57266606_0"	56809	90665.76	929	56808	90665.76	928
"307af6bf0b1b11ec9d5acb2e57266606_0"	56817	90776.91	937	56816	90776.91	936
"307af6bf0b1b11ec9d5acb2e57266606_0"	56832	90858.85	952	56831	90858.85	951
"307af6bf0b1b11ec9d5acb2e57266606_0"	56877	93450.24	997	56876	93450.24	996
"307af6bf0b1b11ec9d5acb2e57266606_0"	57578	123379.22	1698	57577	123379.22	1697
"307af6bf0b1b11ec9d5acb2e57266606_0"	57614	126957.7	1734	57613	126957.7	1733
"307af6bf0b1b11ec9d5acb2e57266606_0"	57644	127427.0	1764	57643	127427.0	1763
"307af6bf0b1b11ec9d5acb2e57266606_0"	57658	127593.56	1778	57657	127593.56	1777
"307af6bf0b1b11ec9d5acb2e57266606_0"	57660	127791.98	1780	57659	127791.98	1779
"307af6bf0b1b11ec9d5acb2e57266606_0"	57661	127791.98	1781	57660	127791.98	1780
"307af6bf0b1b11ec9d5acb2e57266606_0"	57662	127791.98	1782	57661	127791.98	1781
"307af6bf0b1b11ec9d5acb2e57266606_0"	57664	127990.4	1784	57663	127990.4	1783
"307af6bf0b1b11ec9d5acb2e57266606_0"	57678	128156.96	1798	57677	128156.96	1797
"307af6bf0b1b11ec9d5acb2e57266606_0"	57708	128626.26	1828	57707	128626.26	1827
"307af6bf0b1b11ec9d5acb2e57266606_0"	58385	162971.93	2505	58384	162971.93	2504
"307af6bf0b1b11ec9d5acb2e57266606_0"	58398	163535.95	2518	58397	163535.95	2517
"307af6bf0b1b11ec9d5acb2e57266606_0"	58521	171280.42	2641	58520	171280.42	2640
"307af6bf0b1b11ec9d5acb2e57266606_0"	58527	171756.52	2647	58526	171756.52	2646
"307af6bf0b1b11ec9d5acb2e57266606_0"	58784	189013.87	2904	58783	189013.87	2903
"307af6bf0b1b11ec9d5acb2e57266606_0"	58793	189367.68	2913	58792	189367.68	2912

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type	Description	Threshold, km/h
0	Light rail	100
1	Subway	150
2	Rail	500
3	Bus	150
4	Ferry	80
5	Cable tram	30
6	Aerial lift	50
7	Funicular	50
11	Trolleybus	150
12	Monorail	150
-	Unknown	200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip.	tripId (?) `trip_id` of the problematic trip.	routeId (?) `route_id` of the problematic trip.	speedKph (?) Travel speed (km/h).	distanceKm (?) Distance between stops (km).	csvRowNumber1 (?) The row number of the first stop time.	stopSequence1 (?) `stop_sequence` of the first stop.	stopId1 (?) `stop_id` of the first stop.	stopName1 (?) `stop_name` of the first stop.	departureTime1 (?) `departure_time` of the first stop.	csvRowNumber2 (?) The row number of the second stop time.	stopSequence2 (?) `stop_sequence` of the second stop.	stopId2 (?) `stop_id` of the second stop.	stopName2 (?) `stop_name` of the second stop.	arrivalTime2 (?) `arrival_time` of the second stop.
16	"f9f1677bbf3211eca2d8d74adbd6483e"	"FAB600"	299.9705992573752	54.994609863852126	167	3	"170368a"	"DUBOIS, PA"	"08:10:00"	168	4	"172997"	"SYKESVILLE (E), PA"	"08:20:00"
16	"f9f1677bbf3211eca2d8d74adbd6483e"	"FAB600"	550.3613674011355	100.89958402354151	168	4	"172997"	"SYKESVILLE (E), PA"	"08:20:00"	169	5	"172381"	"BIG RUN (E), PA"	"08:30:00"
11	"59073c10a94011ec84517b2066c6cfb7"	"FAB26"	176.35551193828113	17.63555119382811	106	6	"170157"	"PORT TREVRTON PARK&RIDE, PA"	"10:10:00"	107	7	"171699"	"LIVERPOOL (E), PA"	"10:15:00"
10	"126d3d8fa94111ec8451113138d76255"	"FAB530"	171.12321969942062	74.15339520308227	80	1	"153472"	"SPRINGVILLE, NY"	"14:35:00"	81	2	"153000"	"ELLICOTTVILLE (E), NY"	"15:00:00"
10	"126d3d8fa94111ec8451113138d76255"	"FAB530"	157.17649041494084	55.011771645229295	81	2	"153000"	"ELLICOTTVILLE (E), NY"	"15:00:00"	82	3	"151624"	"SALAMANCA (E), NY"	"15:20:00"
10	"126d3d8fa94111ec8451113138d76255"	"FAB530"	1183.5647740147897	216.98687523604477	82	3	"151624"	"SALAMANCA (E), NY"	"15:20:00"	83	4	"152152"	"SENECA ALLEGANY CASINO, NY"	"15:30:00"
10	"126d3d8fa94111ec8451113138d76255"	"FAB530"	374.9895488243727	193.7446002259259	83	4	"152152"	"SENECA ALLEGANY CASINO, NY"	"15:30:00"	84	5	"150125"	"OLEAN (E), NY"	"16:00:00"
10	"126d3d8fa94111ec8451113138d76255"	"FAB530"	299.9705992573752	54.994609863852126	91	12	"170368a"	"DUBOIS, PA"	"19:00:00"	92	13	"172997"	"SYKESVILLE (E), PA"	"19:10:00"
10	"126d3d8fa94111ec8451113138d76255"	"FAB530"	550.3613674011355	100.89958402354151	92	13	"172997"	"SYKESVILLE (E), PA"	"19:10:00"	93	14	"172381"	"BIG RUN (E), PA"	"19:20:00"
10	"126d3d8fa94111ec8451113138d76255"	"FAB530"	156.50846103960825	106.94744837706564	94	15	"171226"	"PUNXSUTAWNEY (E), PA"	"19:30:00"	95	16	"170676"	"INDIANA (E), PA"	"20:10:00"
14	"30d22c06aed511ec8451910a3a14270a"	"FAB10"	176.83200632339714	91.36320326708852	147	10	"172700"	"LEHIGHTON (E), PA"	"18:00:00"	148	11	"172315"	"BATH (E), PA"	"18:30:00"
4	"2f1bb4cd0b1b11ec9d5aa5d961774512"	"FAB805"	305.4459978615197	81.45226609640525	25	3	"171622"	"WILLIAMSPORT, PA"	"11:20:00"	26	4	"175296"	"HUGHESVILLE (E), PA"	"11:35:00"
3	"12b09eda0b1b11ec9d5afd954a103577"	"FAB605"	550.3613674011355	100.89958402354151	16	7	"172381"	"BIG RUN (E), PA"	"18:05:00"	17	8	"172997"	"SYKESVILLE (E), PA"	"18:15:00"
3	"12b09eda0b1b11ec9d5afd954a103577"	"FAB605"	157.1274567538632	54.994609863852126	17	8	"172997"	"SYKESVILLE (E), PA"	"18:15:00"	18	9	"170368a"	"DUBOIS, PA"	"18:35:00"
8	"0485d258a48411ecb2c78d52ab78f649"	"FAB29"	176.35551193828113	17.63555119382811	50	2	"171699"	"LIVERPOOL (E), PA"	"18:35:00"	51	3	"170157"	"PORT TREVRTON PARK&RIDE, PA"	"18:40:00"
13	"09f331d3aed611ec845101f11751a4e4"	"FAB11"	699.3415499985963	69.93415499985963	124	2	"170390"	"EASTON (E), PA"	"09:20:00"	125	3	"172315"	"BATH (E), PA"	"09:25:00"
5	"307af6bf0b1b11ec9d5acb2e57266606"	"FAB815"	157.649547283365	81.45226609640525	33	3	"175296"	"HUGHESVILLE (E), PA"	"14:55:00"	34	4	"171622"	"WILLIAMSPORT, PA"	"15:25:00"
9	"fb77e684a48411ecb2c7dfdc289e86a3"	"FAB510"	156.50846103960825	106.94744837706564	62	4	"170676"	"INDIANA (E), PA"	"06:05:00"	63	5	"171226"	"PUNXSUTAWNEY (E), PA"	"06:45:00"
9	"fb77e684a48411ecb2c7dfdc289e86a3"	"FAB510"	550.3613674011355	100.89958402354151	64	6	"172381"	"BIG RUN (E), PA"	"06:55:00"	65	7	"172997"	"SYKESVILLE (E), PA"	"07:05:00"
9	"fb77e684a48411ecb2c7dfdc289e86a3"	"FAB510"	157.1274567538632	54.994609863852126	65	7	"172997"	"SYKESVILLE (E), PA"	"07:05:00"	66	8	"170368a"	"DUBOIS, PA"	"07:25:00"
9	"fb77e684a48411ecb2c7dfdc289e86a3"	"FAB510"	374.98954882437266	193.74460022592586	73	15	"150125"	"OLEAN (E), NY"	"10:35:00"	74	16	"152152"	"SENECA ALLEGANY CASINO, NY"	"11:05:00"
9	"fb77e684a48411ecb2c7dfdc289e86a3"	"FAB510"	1183.5647740147897	216.98687523604477	74	16	"152152"	"SENECA ALLEGANY CASINO, NY"	"11:05:00"	75	17	"151624"	"SALAMANCA (E), NY"	"11:15:00"
9	"fb77e684a48411ecb2c7dfdc289e86a3"	"FAB510"	206.2941436696098	55.01177164522929	75	17	"151624"	"SALAMANCA (E), NY"	"11:15:00"	76	18	"153000"	"ELLICOTTVILLE (E), NY"	"11:30:00"
9	"fb77e684a48411ecb2c7dfdc289e86a3"	"FAB510"	171.12321969942062	74.15339520308227	76	18	"153000"	"ELLICOTTVILLE (E), NY"	"11:30:00"	77	19	"153472"	"SPRINGVILLE, NY"	"11:55:00"

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip.	tripId (?) `trip_id` of the problematic trip.	routeId (?) `route_id` of the problematic trip.	speedKph (?) Travel speed (km/h).	distanceKm (?) Distance between stops (km).	csvRowNumber1 (?) The row number of the first stop time.	stopSequence1 (?) `stop_sequence` of the first stop.	stopId1 (?) `stop_id` of the first stop.	stopName1 (?) `stop_name` of the first stop.	departureTime1 (?) `departure_time` of the first stop.	csvRowNumber2 (?) The row number of the second stop time.	stopSequence2 (?) `stop_sequence` of the second stop.	stopId2 (?) `stop_id` of the second stop.	stopName2 (?) `stop_name` of the second stop.	arrivalTime2 (?) `arrival_time` of the second stop.
16	"f9f1677bbf3211eca2d8d74adbd6483e"	"FAB600"	299.9705992573752	54.994609863852126	167	3	"170368a"	"DUBOIS, PA"	"08:10:00"	168	4	"172997"	"SYKESVILLE (E), PA"	"08:20:00"
11	"59073c10a94011ec84517b2066c6cfb7"	"FAB26"	176.35551193828113	17.63555119382811	106	6	"170157"	"PORT TREVRTON PARK&RIDE, PA"	"10:10:00"	107	7	"171699"	"LIVERPOOL (E), PA"	"10:15:00"
10	"126d3d8fa94111ec8451113138d76255"	"FAB530"	171.12321969942062	74.15339520308227	80	1	"153472"	"SPRINGVILLE, NY"	"14:35:00"	81	2	"153000"	"ELLICOTTVILLE (E), NY"	"15:00:00"
14	"30d22c06aed511ec8451910a3a14270a"	"FAB10"	176.83200632339714	91.36320326708852	147	10	"172700"	"LEHIGHTON (E), PA"	"18:00:00"	148	11	"172315"	"BATH (E), PA"	"18:30:00"
4	"2f1bb4cd0b1b11ec9d5aa5d961774512"	"FAB805"	305.4459978615197	81.45226609640525	25	3	"171622"	"WILLIAMSPORT, PA"	"11:20:00"	26	4	"175296"	"HUGHESVILLE (E), PA"	"11:35:00"
3	"12b09eda0b1b11ec9d5afd954a103577"	"FAB605"	550.3613674011355	100.89958402354151	16	7	"172381"	"BIG RUN (E), PA"	"18:05:00"	17	8	"172997"	"SYKESVILLE (E), PA"	"18:15:00"
8	"0485d258a48411ecb2c78d52ab78f649"	"FAB29"	176.35551193828113	17.63555119382811	50	2	"171699"	"LIVERPOOL (E), PA"	"18:35:00"	51	3	"170157"	"PORT TREVRTON PARK&RIDE, PA"	"18:40:00"
13	"09f331d3aed611ec845101f11751a4e4"	"FAB11"	699.3415499985963	69.93415499985963	124	2	"170390"	"EASTON (E), PA"	"09:20:00"	125	3	"172315"	"BATH (E), PA"	"09:25:00"
5	"307af6bf0b1b11ec9d5acb2e57266606"	"FAB815"	157.649547283365	81.45226609640525	33	3	"175296"	"HUGHESVILLE (E), PA"	"14:55:00"	34	4	"171622"	"WILLIAMSPORT, PA"	"15:25:00"
9	"fb77e684a48411ecb2c7dfdc289e86a3"	"FAB510"	156.50846103960825	106.94744837706564	62	4	"170676"	"INDIANA (E), PA"	"06:05:00"	63	5	"171226"	"PUNXSUTAWNEY (E), PA"	"06:45:00"

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file.	csvRowNumber (?) The row of the faulty record.	fieldName (?) The name of the missing field.
"agency.txt"	2	"agency_id"
"routes.txt"	2	"agency_id"
"routes.txt"	3	"agency_id"
"routes.txt"	4	"agency_id"
"routes.txt"	5	"agency_id"
"routes.txt"	6	"agency_id"
"routes.txt"	7	"agency_id"
"routes.txt"	8	"agency_id"
"routes.txt"	9	"agency_id"
"routes.txt"	10	"agency_id"
"routes.txt"	11	"agency_id"
"routes.txt"	12	"agency_id"
"routes.txt"	13	"agency_id"
"routes.txt"	14	"agency_id"
"routes.txt"	15	"agency_id"
"routes.txt"	16	"agency_id"
"routes.txt"	17	"agency_id"
"routes.txt"	18	"agency_id"

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.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 183 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	"41241048d8fd11eb81f895f12d37f103"	0
3	"41241048d8fd11eb81f895f12d37f103"	1
4	"41241048d8fd11eb81f895f12d37f103"	2
5	"41241048d8fd11eb81f895f12d37f103"	3
6	"41241048d8fd11eb81f895f12d37f103"	4
7	"41241048d8fd11eb81f895f12d37f103"	5
8	"41241048d8fd11eb81f895f12d37f103"	6
9	"12b09eda0b1b11ec9d5afd954a103577"	0
10	"12b09eda0b1b11ec9d5afd954a103577"	1
11	"12b09eda0b1b11ec9d5afd954a103577"	2
12	"12b09eda0b1b11ec9d5afd954a103577"	3
13	"12b09eda0b1b11ec9d5afd954a103577"	4
14	"12b09eda0b1b11ec9d5afd954a103577"	5
15	"12b09eda0b1b11ec9d5afd954a103577"	6
16	"12b09eda0b1b11ec9d5afd954a103577"	7
17	"12b09eda0b1b11ec9d5afd954a103577"	8
18	"12b09eda0b1b11ec9d5afd954a103577"	9
19	"12b09eda0b1b11ec9d5afd954a103577"	10
20	"12b09eda0b1b11ec9d5afd954a103577"	11
21	"12b09eda0b1b11ec9d5afd954a103577"	12
22	"2f1bb4cd0b1b11ec9d5aa5d961774512"	0
23	"2f1bb4cd0b1b11ec9d5aa5d961774512"	1
24	"2f1bb4cd0b1b11ec9d5aa5d961774512"	2
25	"2f1bb4cd0b1b11ec9d5aa5d961774512"	3
26	"2f1bb4cd0b1b11ec9d5aa5d961774512"	4
27	"2f1bb4cd0b1b11ec9d5aa5d961774512"	5
28	"2f1bb4cd0b1b11ec9d5aa5d961774512"	6
29	"2f1bb4cd0b1b11ec9d5aa5d961774512"	7
30	"307af6bf0b1b11ec9d5acb2e57266606"	0
31	"307af6bf0b1b11ec9d5acb2e57266606"	1
32	"307af6bf0b1b11ec9d5acb2e57266606"	2
33	"307af6bf0b1b11ec9d5acb2e57266606"	3
34	"307af6bf0b1b11ec9d5acb2e57266606"	4
35	"307af6bf0b1b11ec9d5acb2e57266606"	5
36	"307af6bf0b1b11ec9d5acb2e57266606"	6
37	"307af6bf0b1b11ec9d5acb2e57266606"	7
38	"5ebaab8aa17511ecb2c7af2c42607b75"	0
39	"5ebaab8aa17511ecb2c7af2c42607b75"	1
40	"5ebaab8aa17511ecb2c7af2c42607b75"	2
41	"5ebaab8aa17511ecb2c7af2c42607b75"	3
42	"5ebaab8aa17511ecb2c7af2c42607b75"	4
43	"45644fb3a17511ecb2c7b93a9dbcf794"	0
44	"45644fb3a17511ecb2c7b93a9dbcf794"	1
45	"45644fb3a17511ecb2c7b93a9dbcf794"	2
46	"45644fb3a17511ecb2c7b93a9dbcf794"	3
47	"45644fb3a17511ecb2c7b93a9dbcf794"	4
48	"0485d258a48411ecb2c78d52ab78f649"	0
49	"0485d258a48411ecb2c78d52ab78f649"	1
50	"0485d258a48411ecb2c78d52ab78f649"	2
51	"0485d258a48411ecb2c78d52ab78f649"	3

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.

Only the first 50 of 98 affected records are displayed below.

filename (?) Name of the faulty file.	fieldName (?) Name of the faulty field.	fieldValue (?) Faulty value.	csvRowNumber (?) The row number of the faulty record.
"routes.txt"	"route_long_name"	"HARRISBURG -> DUBOIS (E)"	2
"routes.txt"	"route_long_name"	"PITTSBURGH ARPT -> STATE COLLEGE"	3
"routes.txt"	"route_long_name"	"STATE COLLEGE -> WILKES BARRE"	4
"routes.txt"	"route_long_name"	"WILKES BARRE -> STATE COLLEGE"	5
"routes.txt"	"route_long_name"	"SCRANTON -> HARRISBURG"	6
"routes.txt"	"route_long_name"	"HARRISBURG -> SCRANTON"	7
"routes.txt"	"route_long_name"	"HARRISBURG -> WILLIAMSPORT"	8
"routes.txt"	"route_long_name"	"PITTSBURGH -> BUFFALO"	9
"routes.txt"	"route_long_name"	"BUFFALO -> PITTSBURGH"	10
"routes.txt"	"route_long_name"	"WILLIAMSPORT -> HARRISBURG"	11
"routes.txt"	"route_long_name"	"WILLIAMSPORT -> PHILADELPHIA"	12
"routes.txt"	"route_long_name"	"NEW YORK -> WILLIAMSPORT"	13
"routes.txt"	"route_long_name"	"WILLIAMSPORT -> NEW YORK"	14
"routes.txt"	"route_long_name"	"PHILADELPHIA -> WILLIAMSPORT"	15
"routes.txt"	"route_long_name"	"STATE COLLEGE -> PITTSBURGH ARPT"	16
"routes.txt"	"route_long_name"	"STATE COLLEGE -> DUBOIS"	17
"routes.txt"	"route_long_name"	"DUBOIS -> STATE COLLEGE"	18
"stops.txt"	"stop_name"	"SYKESVILLE (E), PA"	2
"stops.txt"	"stop_name"	"WILKES BARRE, PA"	3
"stops.txt"	"stop_name"	"LIVERPOOL (E), PA"	4
"stops.txt"	"stop_name"	"SENECA ALLEGANY CASINO, NY"	5
"stops.txt"	"stop_name"	"JOHNSONBURG (E), PA"	6
"stops.txt"	"stop_name"	"HUDSONDALE (E), PA"	7
"stops.txt"	"stop_name"	"SUNBURY (E), PA"	8
"stops.txt"	"stop_name"	"PHILADELPHIA, PA"	9
"stops.txt"	"stop_name"	"WILCOX (E), PA"	10
"stops.txt"	"stop_name"	"OLEAN (E), NY"	11
"stops.txt"	"stop_name"	"BUFFALO, NY"	12
"stops.txt"	"stop_name"	"STATE COLLEGE, PA"	13
"stops.txt"	"stop_name"	"DELMONT (E), PA"	14
"stops.txt"	"stop_name"	"ST MARYS (E), PA"	15
"stops.txt"	"stop_name"	"BERWICK (E), PA"	16
"stops.txt"	"stop_name"	"RED ROCK, PA"	17
"stops.txt"	"stop_name"	"ALLENTOWN (E), PA"	18
"stops.txt"	"stop_name"	"LOCK HAVEN FAB, PA"	19
"stops.txt"	"stop_name"	"DALLAS (E), PA"	20
"stops.txt"	"stop_name"	"BEAVER MEADOWS (E), PA"	21
"stops.txt"	"stop_name"	"PUNXSUTAWNEY (E), PA"	22
"stops.txt"	"stop_name"	"BELLEFONTE (E), PA"	23
"stops.txt"	"stop_name"	"PORT TREVORTON, PA"	24
"stops.txt"	"stop_name"	"NEW YORK, NY"	25
"stops.txt"	"stop_name"	"SHAMOKIN DAM (E), PA"	26
"stops.txt"	"stop_name"	"DANVILLE (E), PA"	27
"stops.txt"	"stop_name"	"INDIANA (E), PA"	28
"stops.txt"	"stop_name"	"POTTSVILLE (E), PA"	29
"stops.txt"	"stop_name"	"LANTZ CORNERS (E), PA"	30
"stops.txt"	"stop_name"	"LEWISBURG (E), PA"	31
"stops.txt"	"stop_name"	"CLEARFIELD (E), PA"	32
"stops.txt"	"stop_name"	"LEHIGHTON (E), PA"	33
"stops.txt"	"stop_name"	"EASTON (E), PA"	34

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.
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	81	"153000"	"ELLICOTTVILLE (E), NY"	[42.026504,-78.072172]	431.6775261101843
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	83	"152152"	"SENECA ALLEGANY CASINO, NY"	[42.06301,-76.081777]	533.7679080910668
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	86	"172678"	"LANTZ CORNERS (E), PA"	[41.65626,-78.801272]	123.6828565053853
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	92	"172997"	"SYKESVILLE (E), PA"	[41.00393,-78.079448]	282.3942123782855
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	93	"172381"	"BIG RUN (E), PA"	[40.097823827620566,-78.09078802547486]	221.53573200611316
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	94	"171226"	"PUNXSUTAWNEY (E), PA"	[40.093643,-78.091538]	464.2964093170788
16	"f9f1677bbf3211eca2d8d74adbd6483e_0"	"f9f1677bbf3211eca2d8d74adbd6483e"	168	"172997"	"SYKESVILLE (E), PA"	[41.00393,-78.079448]	282.3942123782855
16	"f9f1677bbf3211eca2d8d74adbd6483e_0"	"f9f1677bbf3211eca2d8d74adbd6483e"	169	"172381"	"BIG RUN (E), PA"	[40.097823827620566,-78.09078802547486]	221.53573200611316
16	"f9f1677bbf3211eca2d8d74adbd6483e_0"	"f9f1677bbf3211eca2d8d74adbd6483e"	170	"171226"	"PUNXSUTAWNEY (E), PA"	[40.093643,-78.091538]	464.2964093170788
16	"f9f1677bbf3211eca2d8d74adbd6483e_0"	"f9f1677bbf3211eca2d8d74adbd6483e"	176	"172821"	"PITTSBURGH ARPT, PA"	[40.499914865580244,-79.2608483532039]	562.185609504991
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	63	"171226"	"PUNXSUTAWNEY (E), PA"	[40.093643,-78.091538]	464.2964093170788
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	64	"172381"	"BIG RUN (E), PA"	[40.097823827620566,-78.09078802547486]	221.53573200611316
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	65	"172997"	"SYKESVILLE (E), PA"	[41.00393,-78.079448]	282.3942123782855
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	71	"172678"	"LANTZ CORNERS (E), PA"	[41.65626,-78.801272]	123.6828565053853
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	74	"152152"	"SENECA ALLEGANY CASINO, NY"	[42.06301,-76.081777]	533.7679080910668
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	76	"153000"	"ELLICOTTVILLE (E), NY"	[42.026504,-78.072172]	431.6775261101843
3	"12b09eda0b1b11ec9d5afd954a103577_0"	"12b09eda0b1b11ec9d5afd954a103577"	9	"172821"	"PITTSBURGH ARPT, PA"	[40.499914865580244,-79.2608483532039]	562.185609504991
3	"12b09eda0b1b11ec9d5afd954a103577_0"	"12b09eda0b1b11ec9d5afd954a103577"	15	"171226"	"PUNXSUTAWNEY (E), PA"	[40.093643,-78.091538]	464.2964093170788
3	"12b09eda0b1b11ec9d5afd954a103577_0"	"12b09eda0b1b11ec9d5afd954a103577"	16	"172381"	"BIG RUN (E), PA"	[40.097823827620566,-78.09078802547486]	221.53573200611316
3	"12b09eda0b1b11ec9d5afd954a103577_0"	"12b09eda0b1b11ec9d5afd954a103577"	17	"172997"	"SYKESVILLE (E), PA"	[41.00393,-78.079448]	282.3942123782855

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

You can see more about this notice here.

Only the first 50 of 51 affected records are displayed below.

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.
5	"307af6bf0b1b11ec9d5acb2e57266606_0"	"307af6bf0b1b11ec9d5acb2e57266606"	31	"175285"	"DALLAS (E), PA"	[41.12844795025574,-75.96274881107371]	22978.933784798413
5	"307af6bf0b1b11ec9d5acb2e57266606_0"	"307af6bf0b1b11ec9d5acb2e57266606"	32	"175527"	"RED ROCK, PA"	[41.1415386043665,-75.96284697517294]	36953.23321338223
5	"307af6bf0b1b11ec9d5acb2e57266606_0"	"307af6bf0b1b11ec9d5acb2e57266606"	33	"175296"	"HUGHESVILLE (E), PA"	[41.31086119152617,-76.11896196529497]	32033.67478187596
5	"307af6bf0b1b11ec9d5acb2e57266606_0"	"307af6bf0b1b11ec9d5acb2e57266606"	34	"171622"	"WILLIAMSPORT, PA"	[41.21456506444019,-77.20288848163058]	17110.91567384177
5	"307af6bf0b1b11ec9d5acb2e57266606_0"	"307af6bf0b1b11ec9d5acb2e57266606"	35	"170178"	"LOCK HAVEN FAB, PA"	[41.02597749151876,-77.55893654505894]	15019.26017108641
5	"307af6bf0b1b11ec9d5acb2e57266606_0"	"307af6bf0b1b11ec9d5acb2e57266606"	36	"172348"	"BELLEFONTE (E), PA"	[40.793980990048674,-77.8622245769416]	14957.212498237226
14	"30d22c06aed511ec8451910a3a14270a_0"	"30d22c06aed511ec8451910a3a14270a"	148	"172315"	"BATH (E), PA"	[40.07569169607918,-75.39409110400247]	100.33292532024879
14	"30d22c06aed511ec8451910a3a14270a_0"	"30d22c06aed511ec8451910a3a14270a"	149	"170390"	"EASTON (E), PA"	[40.689662083283444,-75.21001035110551]	100.16971958530144
14	"30d22c06aed511ec8451910a3a14270a_0"	"30d22c06aed511ec8451910a3a14270a"	150	"160182"	"NEWARK, NJ"	[40.73494264465418,-74.16311366140121]	100.54365522325375
11	"59073c10a94011ec84517b2066c6cfb7_0"	"59073c10a94011ec84517b2066c6cfb7"	105	"170143"	"PORT TREVORTON, PA"	[40.696014498466,-76.8749189088104]	339.95288525124937
11	"59073c10a94011ec84517b2066c6cfb7_0"	"59073c10a94011ec84517b2066c6cfb7"	106	"170157"	"PORT TREVRTON PARK&RIDE, PA"	[40.692068615738364,-76.87956307287695]	678.5410613786239
11	"59073c10a94011ec84517b2066c6cfb7_0"	"59073c10a94011ec84517b2066c6cfb7"	107	"171699"	"LIVERPOOL (E), PA"	[40.55794296320965,-76.99165287225867]	957.3475391460063
11	"59073c10a94011ec84517b2066c6cfb7_0"	"59073c10a94011ec84517b2066c6cfb7"	108	"170144"	"NEW BUFFALO (E), PA"	[40.44140618355793,-76.9904671362054]	977.8341659320016
4	"2f1bb4cd0b1b11ec9d5aa5d961774512_0"	"2f1bb4cd0b1b11ec9d5aa5d961774512"	26	"175296"	"HUGHESVILLE (E), PA"	[41.32282130343031,-75.94239011652589]	34834.77848872784
4	"2f1bb4cd0b1b11ec9d5aa5d961774512_0"	"2f1bb4cd0b1b11ec9d5aa5d961774512"	27	"175527"	"RED ROCK, PA"	[41.02400943236725,-76.0752015252311]	37682.9928675293
4	"2f1bb4cd0b1b11ec9d5aa5d961774512_0"	"2f1bb4cd0b1b11ec9d5aa5d961774512"	28	"175285"	"DALLAS (E), PA"	[41.242354,-75.884942]	12246.926612661455
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	82	"151624"	"SALAMANCA (E), NY"	[41.96847038393287,-78.62981010864968]	22196.084877480524
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	84	"150125"	"OLEAN (E), NY"	[41.21612762908546,-77.20685434331949]	139392.63428384988
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	85	"172139"	"BRADFORD, PA"	[41.02999239329562,-77.53141673243064]	136939.76164570477
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	87	"172623"	"KANE (E), PA"	[41.01605522482774,-77.9560758098034]	100742.82291849096
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	88	"173085"	"WILCOX (E), PA"	[40.96257802818716,-78.10395835539191]	83875.48007252839
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	89	"172238"	"JOHNSONBURG (E), PA"	[40.995621232453274,-78.12407507481423]	71798.90598861786
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	90	"172887"	"ST MARYS (E), PA"	[40.98996398082904,-78.1667012491867]	58950.45449542056
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	91	"170368a"	"DUBOIS, PA"	[41.21560048953009,-78.56337483493392]	17692.935927861778
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	95	"170676"	"INDIANA (E), PA"	[40.010717411814746,-78.66108391435297]	79223.82965065615
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	96	"170148"	"BLAIRSVILLE (E), PA"	[39.96302771152393,-78.860510314525]	61521.61362525801
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	97	"170190"	"DELMONT (E), PA"	[40.08696000103823,-79.1985815780055]	48119.139136095495
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	98	"170918"	"MONROEVILLE (E), PA"	[40.10780778896625,-79.37688219785674]	48284.81482355263
10	"126d3d8fa94111ec8451113138d76255_0"	"126d3d8fa94111ec8451113138d76255"	99	"171150"	"PITTSBURGH, PA"	[40.31047325595127,-79.59295666077874]	37016.57976657269
13	"09f331d3aed611ec845101f11751a4e4_0"	"09f331d3aed611ec845101f11751a4e4"	132	"170159"	"BLOOMSBURG, PA"	[41.13566350566314,-76.45082608288156]	119.15370360937709
13	"09f331d3aed611ec845101f11751a4e4_0"	"09f331d3aed611ec845101f11751a4e4"	134	"170764"	"LEWISBURG (E), PA"	[40.96257435123973,-76.8937863884204]	130.78342838136533
13	"09f331d3aed611ec845101f11751a4e4_0"	"09f331d3aed611ec845101f11751a4e4"	135	"173052"	"WATSONTOWN (E), PA"	[41.08339553088933,-76.86251453022675]	138.65202044565416
16	"f9f1677bbf3211eca2d8d74adbd6483e_0"	"f9f1677bbf3211eca2d8d74adbd6483e"	165	"171138a"	"PHILIPSBURG, PA"	[40.9108643041907,-78.22324682166234]	1120.9465190561
16	"f9f1677bbf3211eca2d8d74adbd6483e_0"	"f9f1677bbf3211eca2d8d74adbd6483e"	166	"172227"	"CLEARFIELD (E), PA"	[40.995623196196156,-78.12361082606282]	26314.372451525203
16	"f9f1677bbf3211eca2d8d74adbd6483e_0"	"f9f1677bbf3211eca2d8d74adbd6483e"	167	"170368a"	"DUBOIS, PA"	[41.08046066278282,-78.50004820168924]	19000.82348220972
16	"f9f1677bbf3211eca2d8d74adbd6483e_0"	"f9f1677bbf3211eca2d8d74adbd6483e"	171	"170676"	"INDIANA (E), PA"	[40.29630417559172,-79.67088959257467]	55756.70951965298
16	"f9f1677bbf3211eca2d8d74adbd6483e_0"	"f9f1677bbf3211eca2d8d74adbd6483e"	172	"170148"	"BLAIRSVILLE (E), PA"	[40.45465392828368,-79.75540287161932]	45256.1205268079
16	"f9f1677bbf3211eca2d8d74adbd6483e_0"	"f9f1677bbf3211eca2d8d74adbd6483e"	173	"170190"	"DELMONT (E), PA"	[40.457874954257385,-79.98738725538504]	35580.76216378209
16	"f9f1677bbf3211eca2d8d74adbd6483e_0"	"f9f1677bbf3211eca2d8d74adbd6483e"	174	"170918"	"MONROEVILLE (E), PA"	[40.441400231777195,-79.83604688423623]	7380.175171644458
16	"f9f1677bbf3211eca2d8d74adbd6483e_0"	"f9f1677bbf3211eca2d8d74adbd6483e"	175	"171150"	"PITTSBURGH, PA"	[40.3962432390898,-79.4301345773249]	47940.18492170676
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	61	"170148"	"BLAIRSVILLE (E), PA"	[40.183738675107776,-79.53020566790941]	38980.88894389746
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	62	"170676"	"INDIANA (E), PA"	[40.11893253981503,-79.33320582706297]	56871.95396343988
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	66	"170368a"	"DUBOIS, PA"	[40.991232821500276,-78.16244229302174]	48870.88068998589
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	67	"172887"	"ST MARYS (E), PA"	[41.07895973897784,-78.497014471091]	39261.80065989707
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	68	"172238"	"JOHNSONBURG (E), PA"	[41.12145686192375,-78.65057671545374]	41068.490039799915
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	69	"173085"	"WILCOX (E), PA"	[41.11350405056328,-78.73056374700671]	51464.85661085969
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	70	"172623"	"KANE (E), PA"	[41.18266952500264,-78.61350363231914]	55367.58728012396
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	72	"172139"	"BRADFORD, PA"	[41.46791151451473,-78.61137721158998]	51510.05969502505
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	73	"150125"	"OLEAN (E), NY"	[41.66843850848745,-78.75013877783698]	52379.08324789731
9	"fb77e684a48411ecb2c7dfdc289e86a3_0"	"fb77e684a48411ecb2c7dfdc289e86a3"	75	"151624"	"SALAMANCA (E), NY"	[42.360185807605546,-77.705723269258]	85621.58577464434

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record.	stopId (?) The id of the faulty stop.	stopName (?) The name of the faulty stop.
13	"171370"	"STATE COLLEGE, PA"
38	"170368"	"DUBOIS, PA"
57	"171138"	"PHILIPSBURG, PA"

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.
5	"307af6bf0b1b11ec9d5acb2e57266606_0"	"307af6bf0b1b11ec9d5acb2e57266606"	33	"175296"	"HUGHESVILLE (E), PA"	[41.02480200000001,-76.071452]	32	"175527"	"RED ROCK, PA"	[41.285968999999994,-76.35988300000001]
11	"59073c10a94011ec84517b2066c6cfb7_0"	"59073c10a94011ec84517b2066c6cfb7"	106	"170157"	"PORT TREVRTON PARK&RIDE, PA"	[40.69763906357107,-76.87657092230205]	105	"170143"	"PORT TREVORTON, PA"	[40.69358985536193,-76.87741518616825]
4	"2f1bb4cd0b1b11ec9d5aa5d961774512_0"	"2f1bb4cd0b1b11ec9d5aa5d961774512"	27	"175527"	"RED ROCK, PA"	[41.285968999999994,-76.35988300000001]	26	"175296"	"HUGHESVILLE (E), PA"	[41.02480200000001,-76.071452]

trip_distance_exceeds_shape_distance_below_threshold

The distance between the last shape point and last stop point is greater than 0 but less than the 11.1m threshold.

You can see more about this notice here.

tripId (?) The faulty record's trip id.	shapeId (?) The faulty record's shape id.	maxTripDistanceTraveled (?) The faulty record's trip max distance traveled.	maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled.	geoDistanceToShape (?) The distance in meters between the shape and the stop.
"12b09eda0b1b11ec9d5afd954a103577"	"12b09eda0b1b11ec9d5afd954a103577_0"	715738.7	685689.6	8.933780285870519
"2f1bb4cd0b1b11ec9d5aa5d961774512"	"2f1bb4cd0b1b11ec9d5aa5d961774512_0"	312337.1	294632.05	2.454867813703975
"307af6bf0b1b11ec9d5acb2e57266606"	"307af6bf0b1b11ec9d5acb2e57266606_0"	312817.4	294353.62	8.933780285870519
"5ebaab8aa17511ecb2c7af2c42607b75"	"5ebaab8aa17511ecb2c7af2c42607b75_0"	209597.8	209539.16	2.4844845427175173
"45644fb3a17511ecb2c7b93a9dbcf794"	"45644fb3a17511ecb2c7b93a9dbcf794_0"	208298.6	208240.24	4.046877692297479
"0485d258a48411ecb2c78d52ab78f649"	"0485d258a48411ecb2c78d52ab78f649_0"	145495.2	145454.46	0.7873352567922742
"59073c10a94011ec84517b2066c6cfb7"	"59073c10a94011ec84517b2066c6cfb7_0"	147341.5	146361.05	2.4844845427175173
"09f331d3aed611ec845101f11751a4e4"	"09f331d3aed611ec845101f11751a4e4_0"	519109.8	518964.28	0.7873352567922742
"06c8ad13b42f11eca2d88391540a211f"	"06c8ad13b42f11eca2d88391540a211f_0"	331178.8	331085.84	0.7873352567922742
"6f83b925d53111eca27d67cc55ed6c69"	"6f83b925d53111eca27d67cc55ed6c69_0"	99900.8	99872.86	8.933780285870519

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.
"agency.txt"	"agency_branding_url"	7
"routes.txt"	"route_branding_url"	8