GTFS Schedule Validation Report

block_trips_with_overlapping_stop_times

Trips with the same block id have overlapping stop times.

You can see more about this notice here.

csvRowNumberA (?) The row number from `trips.txt` of the first faulty trip.	tripIdA (?) The id of first faulty trip.	serviceIdA (?) The service id of the first faulty trip.	csvRowNumberB (?) The row number from `trips.txt` of the second faulty trip.	tripIdB (?) The id of the other faulty trip.	serviceIdB (?) The service id of the other faulty trip.	blockId (?) The `trips.block_id` of the overlapping trip.	intersection (?) The overlapping period.
2860	"202602031583209344"	"20260203"	3665	"202602031583209334"	"20260203"	"21H32"	"20260203"
3982	"202602091583209344"	"20260209"	5392	"202602091583209334"	"20260209"	"21H32"	"20260209"
4876	"202602101583209344"	"20260210"	5154	"202602101583209334"	"20260210"	"21H32"	"20260210"
5194	"202602051583209344"	"20260205"	2479	"202602051583209334"	"20260205"	"21H32"	"20260205"
5757	"202602061583209344"	"20260206"	3065	"202602061583209334"	"20260206"	"21H32"	"20260206"
6229	"202602171583209344"	"20260217"	7608	"202602171583209334"	"20260217"	"21H32"	"20260217"
6574	"202602161583209344"	"20260216"	4672	"202602161583209334"	"20260216"	"21H32"	"20260216"
6929	"202602191583209344"	"20260219"	8278	"202602191583209334"	"20260219"	"21H32"	"20260219"
7395	"202602131583209344"	"20260213"	4345	"202602131583209334"	"20260213"	"21H32"	"20260213"
7662	"202602121583209344"	"20260212"	5609	"202602121583209334"	"20260212"	"21H32"	"20260212"
10732	"202602201583209344"	"20260220"	7925	"202602201583209334"	"20260220"	"21H32"	"20260220"
4561	"202602111583209344"	"20260211"	5822	"202602111583209334"	"20260211"	"21H32C"	"20260211"
5432	"202602041583209344"	"20260204"	2684	"202602041583209334"	"20260204"	"21H32C"	"20260204"
7312	"202602181583209344"	"20260218"	7343	"202602181583209334"	"20260218"	"21H32C"	"20260218"
4051	"202602241583205824"	"20260224"	4607	"202602241583205806"	"20260224"	"20V12"	"20260224"
4334	"202602231583205824"	"20260223"	4913	"202602231583205806"	"20260223"	"20V12"	"20260223"
4650	"202602261583205824"	"20260226"	7430	"202602261583205806"	"20260226"	"20V12"	"20260226"
4943	"202602251583205824"	"20260225"	7693	"202602251583205806"	"20260225"	"20V12"	"20260225"
5990	"202603041583205824"	"20260304"	6618	"202603041583205806"	"20260304"	"20V12"	"20260304"
6322	"202603031583205824"	"20260303"	6986	"202603031583205806"	"20260303"	"20V12"	"20260303"
7725	"202602271583205824"	"20260227"	8385	"202602271583205806"	"20260227"	"20V12"	"20260227"
7899	"202603021583205824"	"20260302"	6109	"202603021583205806"	"20260302"	"20V12"	"20260302"
16164	"202602071583202991"	"20260207"	15398	"202602071583202976"	"20260207"	"22H10S"	"20260207"
18225	"202602141583202991"	"20260214"	18218	"202602141583202976"	"20260214"	"22H10S"	"20260214"
19314	"202602211583202991"	"20260221"	20121	"202602211583202976"	"20260221"	"22H10S"	"20260221"
21059	"202602281583202991"	"20260228"	21020	"202602281583202976"	"20260228"	"22H10S"	"20260228"

missing_required_field

A required field is missing.

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

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_name"
"agency.txt"	2	"agency_url"
"agency.txt"	3	"agency_url"

missing_stop_name

stops.stop_name is required for location_type equal to 0, 1, or 2.

stops.stop_name is required for locations that are stops (location_type=0), stations (location_type=1) or entrances/exits (location_type=2).

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record.	locationType (?) `stops.location_type` of the faulty record.	stopId (?) The `stops.stop_id` of the faulty record.
29	"STOP"	"0:00001"
83	"STOP"	"0:00003"
84	"STOP"	"0:00002"
85	"STOP"	"0:00004"
86	"STOP"	"0:00231"
462	"STOP"	"0:00005"
1251	"STATION"	"1:DEPTOL2"
1426	"STATION"	"1:PRADREG"
1427	"STATION"	"1:DEPTOL1"
1428	"STATION"	"1:DEPCDM"
1429	"STATION"	"1:DEPGINH"
1531	"STATION"	"1:DEPBOUL"

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.

Only the first 50 of 939 affected records are displayed below.

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.
"L16P147"	9018	110.0	14	9017	110.0	13	0.4417461427869047
"L16P147"	9191	2226.0	187	9190	2226.0	186	0.04520084935547674
"L16P147"	9259	3227.0	255	9258	3227.0	254	0.17480311595410208
"L16P147"	9328	4068.0	324	9327	4068.0	323	0.5724081492876443
"L16P147"	9450	5494.0	446	9449	5494.0	445	0.3602762519248669
"L16P147"	9476	5802.0	472	9475	5802.0	471	0.3853968576320005
"L20P87"	29902	2996.0	208	29901	2996.0	207	0.5265054448527187
"L20P87"	30007	4524.0	313	30006	4524.0	312	0.1991226860990516
"L20P87"	30066	5247.0	372	30065	5247.0	371	0.5646284531322917
"L20P87"	30083	5397.0	389	30082	5397.0	388	0.21287974044022664
"L20P87"	30205	6841.0	511	30204	6841.0	510	0.5691514834712261
"L20P87"	30214	6861.0	520	30213	6861.0	519	0.3528059273333338
"L20P87"	30235	7225.0	541	30234	7225.0	540	0.8486955482845622
"L40P17"	53782	3624.0	195	53781	3624.0	194	0.4175916670471151
"L40P17"	53797	3686.0	210	53796	3686.0	209	0.500668984269815
"L40P17"	53819	4086.0	232	53818	4086.0	231	0.635664263140528
"L40P17"	53826	4108.0	239	53825	4108.0	238	0.28985408206114344
"L40P17"	53882	5055.0	295	53881	5055.0	294	0.2614501771987641
"L40P17"	53895	5100.0	308	53894	5100.0	307	0.5564107717771986
"L40P17"	53986	6855.0	399	53985	6855.0	398	0.30292167588185664
"L40P17"	54035	7527.0	448	54034	7527.0	447	0.3936268030217168
"L25P16"	25536	76.0	20	25535	76.0	19	0.40715222800458234
"L25P16"	25547	110.0	31	25546	110.0	30	0.2034128110688678
"L42P36"	59552	902.0	69	59551	902.0	68	0.5973931124950158
"L42P36"	59602	1289.0	119	59601	1289.0	118	0.18563785852177142
"L42P36"	59675	2931.0	192	59674	2931.0	191	0.7778736531448126
"L42P36"	59802	5095.0	319	59801	5095.0	318	0.05870358124367768
"L42P36"	59827	5211.0	344	59826	5211.0	343	0.5262793836486259
"L42P36"	59994	9299.0	511	59993	9299.0	510	0.13150911993591552
"L42P36"	60049	9956.0	566	60048	9956.0	565	0.5126205373459046
"L21P56"	41168	285.0	10	41167	285.0	9	0.24601808124085325
"L21P56"	41227	960.0	69	41226	960.0	68	0.11320861345080878
"L21P56"	41273	1797.0	115	41272	1797.0	114	0.0195614483982213
"L21P56"	41278	1819.0	120	41277	1819.0	119	0.10452894272878084
"L21P56"	41354	3840.0	196	41353	3840.0	195	0.24476148405823514
"L21P56"	41390	4492.0	232	41389	4492.0	231	0.06671706068736016
"L21P56"	41425	5503.0	267	41424	5503.0	266	0.41562958953196555
"L21P56"	41496	6692.0	338	41495	6692.0	337	0.09845326110188016
"L21P56"	41546	7349.0	388	41545	7349.0	387	0.09904635397449366
"L21P56"	41595	8736.0	437	41594	8736.0	436	0.1624310733955418
"L21P56"	41776	11877.0	618	41775	11877.0	617	0.37958062604096265
"L21P56"	41946	14535.0	788	41945	14535.0	787	0.31792630028984264
"L21P56"	41955	14567.0	797	41954	14567.0	796	0.16078415952739253
"L21P56"	42009	14859.0	851	42008	14859.0	850	0.16078415952739253
"L51P236"	6237	1666.0	82	6236	1666.0	81	0.6367054064569614
"L51P236"	6240	1672.0	85	6239	1672.0	84	0.2726709564340596
"L51P236"	6327	3005.0	172	6326	3005.0	171	0.3691447432697083
"L51P236"	6371	3748.0	216	6370	3748.0	215	0.06671706068736016
"L51P236"	6455	5171.0	300	6454	5171.0	299	0.44479004604600664
"L42P37"	15587	68.0	27	15586	68.0	26	0.25621000656898874

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"

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name	Dataset
"N"/"Judah"	Muni San Fransisco
"6"/"ML King Jr Blvd"	Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent"	STM Montreal
"1"/"Rangiora/Cashmere"	Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record.	csvRowNumber (?) The row number of the faulty record.	routeShortName (?) The faulty record's `route_short_name`.	routeLongName (?) The faulty record's `route_long_name`.
"9"	2	"9"	"9"
"33"	3	"33"	"33"
"22"	4	"22"	"22"
"52"	5	"52"	"52"
"53"	6	"53"	"53"
"14"	7	"14"	"14"
"93"	8	"93"	"93"
"43"	9	"43"	"43"
"32"	10	"32"	"32"
"21"	11	"21"	"21"
"42"	12	"42"	"42"
"44"	13	"44"	"44"
"51"	14	"51"	"51"
"20"	18	"20"	"20"
"41"	19	"41"	"41"
"30"	20	"30"	"30"
"40"	21	"40"	"40"
"8"	22	"8"	"8"
"91"	23	"91"	"91"
"95"	24	"95"	"95"
"16"	25	"16"	"16"
"96"	26	"96"	"96"
"18"	27	"18"	"18"
"17"	28	"17"	"17"
"38"	29	"38"	"38"
"26"	30	"26"	"26"
"36"	31	"36"	"36"
"25"	32	"25"	"25"
"46"	33	"46"	"46"
"24"	34	"24"	"24"
"34"	35	"34"	"34"
"23"	36	"23"	"23"

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.

Only the first 50 of 499 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record.	stopId (?) The id of the faulty stop.	stopName (?) The name of the faulty stop.
3	"0:10233"	"Millénaire"
6	"0:05126"	"CNRS"
7	"0:04141"	"Corum"
8	"0:05213"	"Lycée G.Clemenceau"
9	"0:93105"	"Parc Expo"
10	"0:93237"	"Port Marianne"
11	"0:93272"	"Cougourlude"
12	"0:93171"	"Pérols Etang de l'Or"
13	"0:93163"	"Cougourlude"
14	"0:93109"	"Soriech"
15	"0:04106"	"Georges Danton"
17	"0:17124"	"Sabines"
18	"0:18104"	"Sabines"
20	"0:28125"	"Parc Expo"
21	"0:22231"	"Campus Agropolis"
22	"0:22230"	"Lycée F. Bazille"
24	"0:09232"	"Place de l'Europe"
25	"0:05230"	"Hortus"
27	"0:08111"	"Pinsons"
28	"0:08110"	"Ernest Renan"
29	"0:00001"	""
30	"0:05102"	"Castelle"
31	"0:05103"	"Passerines"
32	"0:05104"	"Les Pins"
33	"0:27115"	"Passerines"
34	"0:08120"	"Salaison"
35	"0:53104"	"Raymond Recouly"
36	"0:51206"	"Philippe Lamour"
37	"0:06109"	"Guillaume Janvier"
38	"0:06227"	"Place du 8 Mai 1945"
39	"0:06226"	"Georges Brassens"
40	"0:06107"	"Ronceray"
41	"0:06214"	"Ronceray"
42	"0:06127"	"Place du 8 Mai 1945"
44	"0:27227"	"Les Arbousiers"
45	"0:22222"	"Collège P. M. France"
46	"0:22135"	"Collège P. M. France"
47	"0:23238"	"Occitanie"
49	"0:06126"	"Georges Brassens"
50	"0:11135"	"Rondelet"
51	"0:09134"	"Place de l'Europe"
52	"0:00331"	"Villetelles"
53	"0:00332"	"Villetelles"
57	"0:00234"	"Occitanie"
58	"0:00131"	"École d'Architecture"
59	"0:20253"	"Collège L.Germain"
61	"0:38125"	"Marronniers"
62	"0:38238"	"Marronniers"
63	"0:51102"	"Marcel Dassault"
64	"0:00382"	"Arrêt Provisoire"

unused_shape

Shape is not used in GTFS file trips.txt.

All records defined by GTFS shapes.txt should be used in trips.txt.

You can see more about this notice here.

Only the first 50 of 88 affected records are displayed below.

shapeId (?) The faulty record's id.	csvRowNumber (?) The row number of the faulty record.
"L9P57"	2
"L52P97"	599
"L9P37"	745
"L93P56"	1342
"L93P76"	1577
"L93P27"	1887
"L93P57"	2227
"L8P127"	2548
"L53P36"	2758
"L8P126"	3110
"L53P17"	3339
"L43P16"	3670
"L42P17"	4768
"L14P76"	5415
"L52P96"	5645
"L53P37"	5879
"L51P236"	6155
"L94P66"	6471
"L94P57"	6613
"L92P76"	6796
"L92P77"	6975
"L30P56"	7160
"L30P17"	7540
"L16P16"	7986
"L9P176"	8433
"L16P147"	9004
"L9P56"	10573
"L91P26"	11721
"L26P26"	11966
"L95P17"	12058
"L95P16"	12257
"L95P26"	12471
"L14P97"	12516
"L51P66"	12736
"L53P106"	13024
"L91P27"	13078
"L94P86"	13353
"L91P217"	13567
"L91P216"	13738
"L21P17"	13949
"L32P27"	22246
"L21P46"	23262
"L21P16"	23270
"L41P26"	23301
"L46P26"	23464
"L32P37"	23472
"L25P16"	25516
"L32P26"	25553
"L40P36"	26501
"L32P36"	27019

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.
"stops.txt"	"vehicle_type"	10