GTFS Schedule Validation Report

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id	route_short_name	route_long_name
route1	U1	Southern
route2	U1	Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence.	routeId1 (?) The id of the the first occurrence.	csvRowNumber2 (?) The row number of the other occurrence.	routeId2 (?) The id of the the other occurrence.	routeShortName (?) Common `routes.route_short_name`.	routeLongName (?) Common `routes.route_long_name`.	routeTypeValue (?) Common `routes.route_type`.	agencyId (?) Common `routes.agency_id`.
20	"3645"	66	"8681"	"144"	"Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes"	3	"53"

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 202 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`.
"54907"	143279	1430.0	55	143278	1430.0	54
"54907"	143297	2350.8	73	143296	2350.8	72
"54907"	143309	3710.7	85	143308	3710.7	84
"54907"	143342	4743.7	118	143341	4743.7	117
"54907"	143375	5454.0	151	143374	5454.0	150
"54907"	143421	7236.2	197	143420	7236.2	196
"54907"	143448	8617.3	224	143447	8617.3	223
"54907"	143478	10071.0	254	143477	10071.0	253
"54907"	143521	11885.5	297	143520	11885.5	296
"54907"	143546	12653.0	322	143545	12653.0	321
"54907"	143567	13666.0	343	143566	13666.0	342
"54907"	143630	16695.7	406	143629	16695.7	405
"54907"	143674	18567.8	450	143673	18567.8	449
"54907"	143715	19548.7	491	143714	19548.7	490
"54907"	143728	20140.5	504	143727	20140.5	503
"54907"	143786	21557.0	562	143785	21557.0	561
"54907"	143801	22759.3	577	143800	22759.3	576
"54907"	143831	23625.1	607	143830	23625.1	606
"54907"	143876	24832.3	652	143875	24832.3	651
"54907"	143909	26075.2	685	143908	26075.2	684
"54907"	143953	27988.3	729	143952	27988.3	728
"54907"	144070	29372.8	846	144069	29372.8	845
"54907"	144135	31414.7	911	144134	31414.7	910
"54907"	144154	32089.7	930	144153	32089.7	929
"54907"	144487	35475.2	1263	144486	35475.2	1262
"54907"	144883	42438.3	1659	144882	42438.3	1658
"54907"	144958	44682.4	1734	144957	44682.4	1733
"54906"	141763	1318.3	65	141762	1318.3	64
"54906"	141839	3567.8	141	141838	3567.8	140
"54906"	141889	6058.4	191	141888	6058.4	190
"54906"	142097	8349.3	399	142096	8349.3	398
"54906"	142314	10367.1	616	142313	10367.1	615
"54906"	142376	12372.3	678	142375	12372.3	677
"54906"	142491	13752.8	793	142490	13752.8	792
"54906"	142533	15667.7	835	142532	15667.7	834
"54906"	142569	16906.5	871	142568	16906.5	870
"54906"	142617	18137.5	919	142616	18137.5	918
"54906"	142644	18987.9	946	142643	18987.9	945
"54906"	142671	20607.0	973	142670	20607.0	972
"54906"	142714	21502.3	1016	142713	21502.3	1015
"54906"	142729	22204.2	1031	142728	22204.2	1030
"54906"	142771	23167.2	1073	142770	23167.2	1072
"54906"	142812	24985.0	1114	142811	24985.0	1113
"54906"	142826	25315.6	1128	142825	25315.6	1127
"54906"	142848	26423.3	1150	142847	26423.3	1149
"54906"	142870	27712.6	1172	142869	27712.6	1171
"54906"	142878	27849.5	1180	142877	27849.5	1179
"54906"	142883	27976.8	1185	142882	27976.8	1184
"54906"	142904	28989.8	1206	142903	28989.8	1205
"54906"	142930	29859.2	1232	142929	29859.2	1231

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 12125 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	"43001"	1
3	"43001"	2
4	"43001"	3
5	"43001"	4
6	"43001"	5
7	"43001"	6
8	"43001"	7
9	"43001"	8
10	"43001"	9
11	"43001"	10
12	"43001"	11
13	"43001"	12
14	"43001"	13
15	"43001"	14
16	"43001"	15
17	"43001"	16
18	"43001"	17
19	"43001"	18
20	"43001"	19
21	"43001"	20
22	"43001"	21
23	"43059"	1
24	"43059"	2
25	"43059"	3
26	"43059"	4
27	"43059"	5
28	"43059"	6
29	"43059"	7
30	"43059"	8
31	"43059"	9
32	"43059"	10
33	"43059"	11
34	"43059"	12
35	"43059"	13
36	"43059"	14
37	"43059"	15
38	"43059"	16
39	"43059"	17
40	"43059"	18
41	"43059"	19
42	"43059"	20
43	"43059"	21
44	"43063"	1
45	"43063"	2
46	"43063"	3
47	"43063"	4
48	"43063"	5
49	"43063"	6
50	"43063"	7
51	"43063"	8

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.
"routes.txt"	"route_long_name"	"VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI"	34
"routes.txt"	"route_long_name"	"VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI"	50
"stops.txt"	"stop_name"	"40 km"	176
"stops.txt"	"stop_name"	"13-sis kilometras"	189
"stops.txt"	"stop_name"	"11-as kilometras"	211
"stops.txt"	"stop_name"	"RUKAINIŲ GIRIN."	231
"stops.txt"	"stop_name"	"23 km"	322
"stops.txt"	"stop_name"	"23 km"	329
"stops.txt"	"stop_name"	"11-as kilometras"	352
"stops.txt"	"stop_name"	"16-sis kilometras"	361
"stops.txt"	"stop_name"	"RUKAINIŲ GIRIN."	366
"stops.txt"	"stop_name"	"40 km"	392
"stops.txt"	"stop_name"	"16-sis kilometras"	480
"stops.txt"	"stop_name"	"13-sis kilometras"	482
"stops.txt"	"stop_name"	"9 kilometras"	689
"stops.txt"	"stop_name"	"9 kilometras"	690
"stops.txt"	"stop_name"	"32 kilometras"	692
"stops.txt"	"stop_name"	"32 kilometras"	693
"stops.txt"	"stop_name"	"žieda"	898

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.
386	"17131"	"2515700"	3917	"16347"	"Sudervė"	[54.761036,25.063001999999997]	2603.225038082936

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