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`.
22	"3645"	70	"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 109 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"	72651	34775.1	1306	72650	34775.1	1305
"16760"	70048	29380.9	786	70047	29380.9	785
"52766"	145578	2015.4	27	145577	2015.4	26
"52766"	145660	4780.5	109	145659	4780.5	108
"52766"	145720	6289.6	169	145719	6289.6	168
"52766"	145780	7564.6	229	145779	7564.6	228
"52766"	145865	9684.5	314	145864	9684.5	313
"52766"	145950	11750.6	399	145949	11750.6	398
"52766"	146000	12910.5	449	145999	12910.5	448
"52766"	146060	14127.8	509	146059	14127.8	508
"52766"	146139	15714.2	588	146138	15714.2	587
"52766"	146188	16869.6	637	146187	16869.6	636
"52766"	146234	18017.0	683	146233	18017.0	682
"52766"	146309	19733.6	758	146308	19733.6	757
"52766"	146328	20942.4	777	146327	20942.4	776
"52766"	146348	22194.5	797	146347	22194.5	796
"52766"	146396	23794.6	845	146395	23794.6	844
"52766"	146412	24732.8	861	146411	24732.8	860
"52766"	146445	26201.8	894	146444	26201.8	893
"52766"	146473	27542.4	922	146472	27542.4	921
"52766"	146683	31711.5	1132	146682	31711.5	1131
"52766"	146862	35220.0	1311	146861	35220.0	1310
"52766"	146914	36954.1	1363	146913	36954.1	1362
"52766"	146961	38126.6	1410	146960	38126.6	1409
"52766"	146978	39330.0	1427	146977	39330.0	1426
"52766"	147015	40630.5	1464	147014	40630.5	1463
"52766"	147057	42067.0	1506	147056	42067.0	1505
"52766"	147077	42663.2	1526	147076	42663.2	1525
"52766"	147109	43748.2	1558	147108	43748.2	1557
"9142"	35377	44085.1	1397	35376	44085.1	1396
"53341"	148364	1767.5	47	148363	1767.5	46
"53341"	148367	1835.3	50	148366	1835.3	49
"53341"	148375	1927.8	58	148374	1927.8	57
"53341"	148379	2088.0	62	148378	2088.0	61
"53341"	148388	2347.8	71	148387	2347.8	70
"53341"	148396	2510.2	79	148395	2510.2	78
"53341"	148459	4638.2	142	148458	4638.2	141
"53341"	148506	5935.5	189	148505	5935.5	188
"53341"	148517	6375.1	200	148516	6375.1	199
"53341"	148527	6807.5	210	148526	6807.5	209
"53341"	148561	7917.3	244	148560	7917.3	243
"53341"	148580	9199.6	263	148579	9199.6	262
"53341"	148587	9812.7	270	148586	9812.7	269
"53341"	148594	10281.8	277	148593	10281.8	276
"53341"	148615	11491.3	298	148614	11491.3	297
"53341"	148650	13276.3	333	148649	13276.3	332
"53341"	148662	14144.1	345	148661	14144.1	344
"53341"	148670	14484.9	353	148669	14484.9	352
"53341"	148702	15334.4	385	148701	15334.4	384
"53341"	148713	15778.5	396	148712	15778.5	395

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 12162 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"	49
"stops.txt"	"stop_name"	"40 km"	179
"stops.txt"	"stop_name"	"13-sis kilometras"	192
"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"	485
"stops.txt"	"stop_name"	"13-sis kilometras"	487
"stops.txt"	"stop_name"	"9 kilometras"	696
"stops.txt"	"stop_name"	"9 kilometras"	697
"stops.txt"	"stop_name"	"32 kilometras"	699
"stops.txt"	"stop_name"	"32 kilometras"	700
"stops.txt"	"stop_name"	"žieda"	905

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.
271	"17131"	"2515701"	4125	"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