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.
"GC_706_PM_WD_01"	"4zdo"	94645.25862461016	94615.68736476806	16.59827578856185

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.
3	"GC_708_AM_Wed_01"	"708 WHITE"	307.35746944483736	5.12262449074729	31	8	"0d9537d"	"Mountain View Apartments"	"08:48:00"	32	9	"mpmj"	"Silver Spring Road"	"08:48:00"
3	"GC_708_AM_Wed_01"	"708 WHITE"	361.6396574992221	6.027327624987035	39	16	"90a27d3"	"Alpine Garden Village"	"09:35:00"	40	17	"35342f13"	"Jewett Senior Service Center"	"09:35:00"
11	"GC_709_AM_FR_01"	"709 RED"	965.3563153812835	16.089271923021393	168	3	"bcob"	"Acra Manor"	"08:12:00"	169	4	"0e1ecd7b"	"Windham Willows"	"08:12:00"
11	"GC_709_AM_FR_01"	"709 RED"	428.51817838069843	7.141969639678307	177	12	"66abe3c2"	"Lexington Post Office"	"09:00:00"	178	13	"mpmj"	"Silver Spring Road"	"09:00:00"
11	"GC_709_AM_FR_01"	"709 RED"	290.32816400849293	4.838802733474882	180	15	"0d9537d"	"Mountain View Apartments"	"09:18:00"	181	16	"35342f13"	"Jewett Senior Service Center"	"09:18:00"
11	"GC_709_AM_FR_01"	"709 RED"	152.9391389034546	5.09797129678182	183	18	"b3fffc5e"	"Acra Senior Services Center"	"09:46:00"	184	19	"0eb1d4"	"Acra Post Office / Acra Manor"	"09:47:00"
4	"GC_708_PM_Wed_01"	"708 WHITE"	353.0852813076744	5.88475468846124	56	7	"f467ceb"	"Central Mall, Route 83 and 23A"	"15:09:00"	57	8	"35342f13"	"Jewett Senior Service Center"	"15:09:00"
4	"GC_708_PM_Wed_01"	"708 WHITE"	501.11253923678214	8.351875653946369	60	11	"fpqr"	"Ashland Post Office"	"15:28:00"	61	12	"p0jd"	"Devasego Park"	"15:28:00"
4	"GC_708_PM_Wed_01"	"708 WHITE"	428.51817838069843	7.141969639678307	64	15	"66abe3c2"	"Lexington Post Office"	"15:50:00"	65	16	"mpmj"	"Silver Spring Road"	"15:50:00"
12	"GC-700701-AM-WD-01"	"700_701_BLUE"	191.14800356141174	3.1858000593568625	199	9	"26aca61c"	"Arc of Ulster-Green - Cairo Center"	"08:20:00"	200	10	"feab2053"	"Eastview Garden Apts."	"08:20:00"
12	"GC-700701-AM-WD-01"	"700_701_BLUE"	1497.7095189068227	24.96182531511371	204	14	"ba618102"	"Greene Medical Arts Center"	"08:35:00"	205	15	"qa7v"	"New Baltimore Post Office - NY-144"	"08:35:00"
12	"GC-700701-AM-WD-01"	"700_701_BLUE"	819.6693688554357	13.661156147590594	215	25	"28154"	"Fairground Estates"	"10:07:00"	216	26	"ba618102"	"Greene Medical Arts Center"	"10:07:00"
14	"GC_709_PM_FR_01"	"709 RED"	152.9391389034546	5.09797129678182	250	5	"0eb1d4"	"Acra Post Office / Acra Manor"	"14:40:00"	251	6	"b3fffc5e"	"Acra Senior Services Center"	"14:41:00"
14	"GC_709_PM_FR_01"	"709 RED"	361.6396574992221	6.027327624987035	252	7	"90a27d3"	"Alpine Garden Village"	"14:56:00"	253	8	"35342f13"	"Jewett Senior Service Center"	"14:56:00"
14	"GC_709_PM_FR_01"	"709 RED"	373.6603842598516	6.227673070997526	255	10	"f467ceb"	"Central Mall, Route 83 and 23A"	"15:15:00"	256	11	"mpmj"	"Silver Spring Road"	"15:15:00"
14	"GC_709_PM_FR_01"	"709 RED"	644.4903356416854	10.74150559402809	257	12	"66abe3c2"	"Lexington Post Office"	"15:25:00"	258	13	"p0jd"	"Devasego Park"	"15:25:00"
14	"GC_709_PM_FR_01"	"709 RED"	205.2291493744592	3.4204858229076534	264	19	"9a6c4279"	"Windham Post Office / Valero"	"16:00:00"	265	20	"0e1ecd7b"	"Windham Willows"	"16:00:00"
13	"GC-700-701-PM-WD-01"	"700_701_BLUE"	1626.509177549524	27.10848629249207	223	2	"e2159d4"	"Wal-Mart/Catskills Common Area"	"13:05:00"	224	3	"qa7v"	"New Baltimore Post Office - NY-144"	"13:05:00"

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.
11	"GC_709_AM_FR_01"	"709 RED"	965.3563153812835	16.089271923021393	168	3	"bcob"	"Acra Manor"	"08:12:00"	169	4	"0e1ecd7b"	"Windham Willows"	"08:12:00"
12	"GC-700701-AM-WD-01"	"700_701_BLUE"	1497.7095189068227	24.96182531511371	204	14	"ba618102"	"Greene Medical Arts Center"	"08:35:00"	205	15	"qa7v"	"New Baltimore Post Office - NY-144"	"08:35:00"
14	"GC_709_PM_FR_01"	"709 RED"	644.4903356416854	10.74150559402809	257	12	"66abe3c2"	"Lexington Post Office"	"15:25:00"	258	13	"p0jd"	"Devasego Park"	"15:25:00"
13	"GC-700-701-PM-WD-01"	"700_701_BLUE"	1626.509177549524	27.10848629249207	223	2	"e2159d4"	"Wal-Mart/Catskills Common Area"	"13:05:00"	224	3	"qa7v"	"New Baltimore Post Office - NY-144"	"13:05:00"

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file.	csvRowNumber (?) The row of the faulty record.	fieldName (?) Faulty record's field name.	fieldValue (?) Faulty value.
"routes.txt"	4	"route_desc"	"Two daily trips with route deviation serving Catskill, Earlton, Greenville, Acra, Durham, Oak Hill, Cairo, Leeds "

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2

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.
"feed_info.txt"	2	"feed_version"

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 362 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`.
4	"GC_706_AM_WD_01"	2
5	"GC_706_AM_WD_01"	3
7	"GC_706_AM_WD_01"	5
8	"GC_706_AM_WD_01"	6
9	"GC_706_AM_WD_01"	7
11	"GC_706_AM_WD_01"	9
12	"GC_706_AM_WD_01"	10
13	"GC_706_AM_WD_01"	11
14	"GC_706_AM_WD_01"	12
15	"GC_706_AM_WD_01"	13
18	"GC_706_AM_WD_01"	16
20	"GC_706_AM_WD_01"	18
21	"GC_706_AM_WD_01"	19
28	"GC_708_AM_Wed_01"	5
29	"GC_708_AM_Wed_01"	6
32	"GC_708_AM_Wed_01"	9
34	"GC_708_AM_Wed_01"	11
35	"GC_708_AM_Wed_01"	12
36	"GC_708_AM_Wed_01"	13
37	"GC_708_AM_Wed_01"	14
38	"GC_708_AM_Wed_01"	15
39	"GC_708_AM_Wed_01"	16
41	"GC_708_AM_Wed_01"	18
56	"GC_708_PM_Wed_01"	7
58	"GC_708_PM_Wed_01"	9
59	"GC_708_PM_Wed_01"	10
60	"GC_708_PM_Wed_01"	11
61	"GC_708_PM_Wed_01"	12
62	"GC_708_PM_Wed_01"	13
63	"GC_708_PM_Wed_01"	14
65	"GC_708_PM_Wed_01"	16
67	"GC_708_PM_Wed_01"	18
68	"GC_708_PM_Wed_01"	19
69	"GC_708_PM_Wed_01"	20
75	"2e905f64-183c-420a-a5f8-07f512c855b5"	0
76	"2e905f64-183c-420a-a5f8-07f512c855b5"	1
77	"2e905f64-183c-420a-a5f8-07f512c855b5"	2
78	"2e905f64-183c-420a-a5f8-07f512c855b5"	3
79	"2e905f64-183c-420a-a5f8-07f512c855b5"	4
80	"2e905f64-183c-420a-a5f8-07f512c855b5"	5
81	"2e905f64-183c-420a-a5f8-07f512c855b5"	6
82	"2e905f64-183c-420a-a5f8-07f512c855b5"	7
83	"2e905f64-183c-420a-a5f8-07f512c855b5"	8
84	"2e905f64-183c-420a-a5f8-07f512c855b5"	9
85	"2e905f64-183c-420a-a5f8-07f512c855b5"	10
86	"2e905f64-183c-420a-a5f8-07f512c855b5"	11
87	"2e905f64-183c-420a-a5f8-07f512c855b5"	12
88	"2e905f64-183c-420a-a5f8-07f512c855b5"	13
89	"2e905f64-183c-420a-a5f8-07f512c855b5"	14
90	"dd34780d-ab43-4442-9004-b9e1f84042a4"	0

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"	"MID DAY"	22
"trips.txt"	"trip_short_name"	"AM RUN"	23
"trips.txt"	"trip_short_name"	"PM RUN"	24

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.
5	"r8t3x"	"Field Goods - Athens"
8	"04393c8"	"Cumberland Farms"
12	"7c737"	"Winter Clove Road"
13	"5783cdbf"	"Flag Stops Along Routes 23/32"
14	"8d0fe39"	"Flag Stops Along Routes 23/32"
15	"8ebfbd25"	"Four Corners"
16	"5c941e78"	"Freehold Post Office"
19	"0cf4a4cc"	"Independence Lane & Route 144"
20	"09e442d"	"Mountain View Apartments"
21	"48ac48d"	"Hillcrest Road"
22	"196926"	"2nd Street & South Montgomery Street"
23	"xjup"	"PLACEHOLDER Catskill Urgent Care"
24	"fbv3"	"PLACEHOLDER Sleepy Hollow"
26	"05a2b739-FWB"	"Flag Stops along West Bridge Street (WB)"
27	"800e77"	"McDonald's"
36	"7611c88a"	"North Warren St. - Rivertown Center"
43	"f61e5ceb"	"Cedar Lane & RT 144"
47	"be556e5"	"Flag Stops Along RT 45"
49	"d4e373d"	"Hensonville Post Office"
50	"f444cfa"	"Howard Drive & Apple Blossom Lane"
51	"bd6441f4"	"Irving Road"
53	"db1fdfb4"	"Pineview Road & Schoharie Turnpike"
54	"4fa35dfd"	"Route 23 & Five Mile Woods Road"
55	"788q"	"US-9W & Division Street"
56	"jyiy"	"Walgreens - Urgent Care"
57	"de0215ac"	"Olivett Lane"
61	"6mak"	"Broad St thru Spring St"
63	"ajw9"	"US-9W"
66	"zua1"	"DSS Water St"
67	"bka3"	"Medical Arts - 5 Mile Woods"
80	"f812ac4b"	"Xtra Mart"
82	"c999da6"	"New Baltimore Rest Area"
83	"d8725de"	"Malden Rest Area"
88	"r8t3"	"Field Goods - Schoharie"
90	"yfgr"	"Country Estates"
91	"tm3y"	"Tranquility Rd & NY-81"
92	"2131830e"	"Route 385 & Sutton Place"
93	"7ozv"	"NY-385 & Mansion Street"
94	"05a2b739"	"PROS (Mental Health)"
95	"rge1"	"Mansion Street & Reed"
96	"fl65"	"Catskill Library"
98	"0981"	"Purling Roller Rink"
99	"mg2c"	"Willows at Brandow Point ON REQUEST"
105	"94c2228f"	"Tops Market - Coxsackie"
109	"9d33e0c8"	"9W"
113	"1e93684"	"Tops Market - Greenville"
114	"crm4"	"Bridge Street Theater"
125	"y76u"	"Mental Health ON REQUEST"
126	"321ac6d2"	"Flag Stops along Route 9W"
127	"cb724092"	"Diederich's Trailer Park"

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
"feed_info.txt"	"feed_id"	2
"routes.txt"	"route_branding_url"	8