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`.
21	"3645"	69	"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 69 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`.
"16761"	74769	34775.1	1306	74768	34775.1	1305
"16760"	72166	29380.9	786	72165	29380.9	785
"9142"	37495	44085.1	1397	37494	44085.1	1396
"40535"	147783	340.3	15	147782	340.3	14
"40535"	147792	535.1	24	147791	535.1	23
"40535"	147800	761.4	32	147799	761.4	31
"40535"	147804	916.6	36	147803	916.6	35
"40535"	147814	1092.4	46	147813	1092.4	45
"40535"	147844	1761.2	76	147843	1761.2	75
"40535"	147891	3058.2	123	147890	3058.2	122
"40535"	147902	3469.3	134	147901	3469.3	133
"40535"	147912	3930.3	144	147911	3930.3	143
"40535"	147946	5040.1	178	147945	5040.1	177
"40535"	147965	6322.4	197	147964	6322.4	196
"40535"	147972	6935.5	204	147971	6935.5	203
"40535"	147979	7404.6	211	147978	7404.6	210
"40535"	148000	8614.0	232	147999	8614.0	231
"40535"	148033	10297.4	265	148032	10297.4	264
"40535"	148047	11266.8	279	148046	11266.8	278
"40535"	148055	11607.6	287	148054	11607.6	286
"40535"	148087	12431.1	319	148086	12431.1	318
"40535"	148098	12901.3	330	148097	12901.3	329
"40535"	148107	13238.5	339	148106	13238.5	338
"40535"	148149	14692.3	381	148148	14692.3	380
"40535"	148215	16130.3	447	148214	16130.3	446
"9323"	37917	5321.0	212	37916	5321.0	211
"9324"	41113	44085.1	1397	41112	44085.1	1396
"9325"	41798	9339.5	341	41797	9339.5	340
"51508"	148286	1767.5	47	148285	1767.5	46
"51508"	148289	1835.3	50	148288	1835.3	49
"51508"	148297	1927.8	58	148296	1927.8	57
"51508"	148301	2088.0	62	148300	2088.0	61
"51508"	148310	2347.8	71	148309	2347.8	70
"51508"	148318	2510.2	79	148317	2510.2	78
"51508"	148381	4638.2	142	148380	4638.2	141
"51508"	148428	5935.5	189	148427	5935.5	188
"51508"	148439	6375.1	200	148438	6375.1	199
"51508"	148449	6807.5	210	148448	6807.5	209
"51508"	148483	7917.3	244	148482	7917.3	243
"51508"	148502	9199.6	263	148501	9199.6	262
"51508"	148509	9812.7	270	148508	9812.7	269
"51508"	148516	10281.8	277	148515	10281.8	276
"51508"	148537	11491.3	298	148536	11491.3	297
"51508"	148572	13276.3	333	148571	13276.3	332
"51508"	148584	14144.1	345	148583	14144.1	344
"51508"	148592	14484.9	353	148591	14484.9	352
"51508"	148624	15334.4	385	148623	15334.4	384
"51508"	148635	15778.5	396	148634	15778.5	395
"51508"	148644	16141.4	405	148643	16141.4	404
"51508"	148686	17557.5	447	148685	17557.5	446

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 12418 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"	32
"routes.txt"	"route_long_name"	"VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI"	47
"stops.txt"	"stop_name"	"40 km"	178
"stops.txt"	"stop_name"	"13-sis kilometras"	191
"stops.txt"	"stop_name"	"11-as kilometras"	215
"stops.txt"	"stop_name"	"RUKAINIŲ GIRIN."	235
"stops.txt"	"stop_name"	"23 km"	328
"stops.txt"	"stop_name"	"23 km"	335
"stops.txt"	"stop_name"	"11-as kilometras"	358
"stops.txt"	"stop_name"	"16-sis kilometras"	367
"stops.txt"	"stop_name"	"RUKAINIŲ GIRIN."	372
"stops.txt"	"stop_name"	"40 km"	398
"stops.txt"	"stop_name"	"16-sis kilometras"	486
"stops.txt"	"stop_name"	"13-sis kilometras"	488
"stops.txt"	"stop_name"	"9 kilometras"	700
"stops.txt"	"stop_name"	"9 kilometras"	701
"stops.txt"	"stop_name"	"32 kilometras"	703
"stops.txt"	"stop_name"	"32 kilometras"	704
"stops.txt"	"stop_name"	"žieda"	909

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	"17131"	"2515700"	4573	"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