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Source Data Validation Report

urbain-vitre — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-19T21:42:40Z,
for the dataset file:///shared/urbain-vitre_dda946c4.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

URBAIN_VITRE
- website: https://www.mova.bzh/
- phone number:
- email: Not provided

Feed Info

Publisher Name:
KEOLIS_ARMOR: Publisher URL:
https://www.mova.bzh/: Feed Email:
N/A: Feed Language:
French: Feed Start Date:
2025-09-01: Feed End Date:
2026-07-03: Service Window:
2025-09-01 to 2026-07-03 (?) The range of service dates covered by the feed, based on trips with an associated service_id in calendar.txt and/or calendar_dates.txt

Files included

agency.txt
calendar.txt
calendar_dates.txt
feed_info.txt
routes.txt
stop_times.txt
stops.txt
trips.txt

Counts

Agencies: 1
Blocks: 0
Routes: 8
Shapes: 0
Stops: 211
Trips: 387

GTFS Features included (?) GTFS features provide a standardized vocabulary to define and describe features that are officially adopted in GTFS.

Feed InformationRoute ColorsStops Wheelchair AccessibilityTrips Wheelchair AccessibilityLocation Types

Specification Compliance report

7580 notices reported (1280 errors, 6284 warnings, 16 infos)

Notice Code Severity Total

decreasing_or_equal_stop_time_distance ERROR 1280

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

Only the first 50 of 1280 affected records are displayed below.

tripId (?) The id of the faulty trip.	stopId (?) The id of the faulty stop.	csvRowNumber (?) The row number from `stop_times.txt`.	shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record.	stopSequence (?) The faulty record's `stop_times.stop_sequence`.	prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time.	prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time.	prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"139801"	"CHGRREN1"	181	0.0	2	180	0.0	1
"139801"	"CHGLAEN1"	182	0.0	3	181	0.0	2
"139801"	"CHGCCH1"	183	0.0	4	182	0.0	3
"139801"	"SDICENT1"	184	0.0	5	183	0.0	4
"139801"	"DOMCENT1"	185	0.0	6	184	0.0	5
"139800"	"CHGRREN1"	175	0.0	2	174	0.0	1
"139800"	"CHGLAEN1"	176	0.0	3	175	0.0	2
"139800"	"CHGCCH1"	177	0.0	4	176	0.0	3
"139800"	"SDICENT1"	178	0.0	5	177	0.0	4
"139800"	"DOMCENT1"	179	0.0	6	178	0.0	5
"141900"	"SJVCENT2"	5677	0.0	2	5676	0.0	1
"141900"	"CHGPRIO2"	5679	1571.0	4	5678	1571.0	3
"141900"	"CHGBRET2"	5681	1884.0	6	5680	1884.0	5
"141902"	"SJVCENT2"	5703	0.0	2	5702	0.0	1
"141902"	"CHGPRIO2"	5705	1571.0	4	5704	1571.0	3
"141902"	"CHGBRET2"	5707	1884.0	6	5706	1884.0	5
"141901"	"SJVCENT2"	5690	0.0	2	5689	0.0	1
"141901"	"CHGPRIO2"	5692	1571.0	4	5691	1571.0	3
"141901"	"CHGBRET2"	5694	1884.0	6	5693	1884.0	5
"141904"	"CHGPRIO2"	5727	0.0	2	5726	0.0	1
"141904"	"CHGBRET2"	5729	313.0	4	5728	313.0	3
"141903"	"CHGPRIO2"	5716	0.0	2	5715	0.0	1
"141903"	"CHGBRET2"	5718	313.0	4	5717	313.0	3
"141911"	"SJVCENT2"	5812	0.0	2	5811	0.0	1
"141911"	"CHGPRIO2"	5814	1571.0	4	5813	1571.0	3
"141911"	"CHGBRET2"	5816	1884.0	6	5815	1884.0	5
"141913"	"SJVCENT2"	5838	0.0	2	5837	0.0	1
"141913"	"CHGPRIO2"	5840	1571.0	4	5839	1571.0	3
"141913"	"CHGBRET2"	5842	1884.0	6	5841	1884.0	5
"141912"	"SJVCENT2"	5825	0.0	2	5824	0.0	1
"141912"	"CHGPRIO2"	5827	1571.0	4	5826	1571.0	3
"141912"	"CHGBRET2"	5829	1884.0	6	5828	1884.0	5
"140409"	"VITDPAP1"	1141	0.0	2	1140	0.0	1
"140409"	"VITBARA1"	1142	0.0	3	1141	0.0	2
"140409"	"VITMART1"	1149	2084.0	10	1148	2084.0	9
"140409"	"VITAUR1"	1150	2084.0	11	1149	2084.0	10
"140409"	"VITBGAS1"	1152	2513.0	13	1151	2513.0	12
"140409"	"VITZACR1"	1153	2513.0	14	1152	2513.0	13
"140409"	"VITRONC1"	1154	2513.0	15	1153	2513.0	14
"140409"	"VITGHAY1"	1155	2513.0	16	1154	2513.0	15
"140409"	"VITJMJA1"	1156	2513.0	17	1155	2513.0	16
"140409"	"VITRPER1"	1157	2513.0	18	1156	2513.0	17
"140400"	"VITDPAP1"	979	0.0	2	978	0.0	1
"140400"	"VITBARA1"	980	0.0	3	979	0.0	2
"140400"	"VITMART1"	987	2084.0	10	986	2084.0	9
"140400"	"VITAUR1"	988	2084.0	11	987	2084.0	10
"140400"	"VITBGAS1"	990	2513.0	13	989	2513.0	12
"140400"	"VITZACR1"	991	2513.0	14	990	2513.0	13
"140400"	"VITRONC1"	992	2513.0	15	991	2513.0	14
"140400"	"VITGHAY1"	993	2513.0	16	992	2513.0	15

feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

Dataset should cover at least the next 30 days of service.

At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally for as long as the operator is confident that the schedule will continue to be operated.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record.	currentDate (?) Current date (YYYYMMDD format).	feedEndDate (?) Feed end date (YYYYMMDD format).	suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2	"20260619"	"20260703"	"20260719"

missing_feed_contact_email_and_url WARNING 1

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_timepoint_value WARNING 5887

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 5887 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	"139746"	1
3	"139746"	2
4	"139746"	3
5	"139746"	4
6	"139746"	5
7	"139746"	6
8	"139747"	1
9	"139747"	2
10	"139747"	3
11	"139747"	4
12	"139747"	5
13	"139747"	6
14	"139748"	1
15	"139748"	2
16	"139748"	3
17	"139748"	4
18	"139748"	5
19	"139748"	6
20	"139749"	1
21	"139749"	2
22	"139749"	3
23	"139749"	4
24	"139749"	5
25	"139749"	6
26	"139750"	1
27	"139750"	2
28	"139750"	3
29	"139750"	4
30	"139750"	5
31	"139750"	6
32	"139751"	1
33	"139751"	2
34	"139751"	3
35	"139751"	4
36	"139751"	5
37	"139751"	6
38	"139752"	1
39	"139752"	2
40	"139752"	3
41	"139752"	4
42	"139752"	5
43	"139752"	6
44	"139753"	1
45	"139753"	2
46	"139753"	3
47	"139753"	4
48	"139753"	5
49	"139753"	6
50	"139754"	1
51	"139754"	2

mixed_case_recommended_field WARNING 395

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.

Only the first 50 of 395 affected records are displayed below.

filename (?) Name of the faulty file.	fieldName (?) Name of the faulty field.	fieldValue (?) Faulty value.	csvRowNumber (?) The row number of the faulty record.
"agency.txt"	"agency_name"	"URBAIN_VITRE"	2
"routes.txt"	"route_long_name"	"CHATEAUBOURG_LIGNE_A"	2
"routes.txt"	"route_long_name"	"CHATEAUBOURG_LIGNE_B"	3
"routes.txt"	"route_long_name"	"CHATEAUBOURG_LIGNE_C"	4
"routes.txt"	"route_long_name"	"CHATEAUBOURG_LIGNE_D"	5
"stops.txt"	"stop_name"	"CHATEAUBOURG_college_public"	8
"stops.txt"	"stop_name"	"VITRE_JM_JACQUARD"	61
"stops.txt"	"stop_name"	"JM_JACQUARD"	174
"trips.txt"	"trip_short_name"	"139746{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	2
"trips.txt"	"trip_short_name"	"139747{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	3
"trips.txt"	"trip_short_name"	"139748{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	4
"trips.txt"	"trip_short_name"	"139749{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	5
"trips.txt"	"trip_short_name"	"139750{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	6
"trips.txt"	"trip_short_name"	"139751{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	7
"trips.txt"	"trip_short_name"	"139752{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	8
"trips.txt"	"trip_short_name"	"139753{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	9
"trips.txt"	"trip_short_name"	"139754{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	10
"trips.txt"	"trip_short_name"	"139755{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	11
"trips.txt"	"trip_short_name"	"139756{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	12
"trips.txt"	"trip_short_name"	"139757{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	13
"trips.txt"	"trip_short_name"	"139758{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	14
"trips.txt"	"trip_short_name"	"139780{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	15
"trips.txt"	"trip_short_name"	"139781{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	16
"trips.txt"	"trip_short_name"	"139782{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	17
"trips.txt"	"trip_short_name"	"139783{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	18
"trips.txt"	"trip_short_name"	"139784{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	19
"trips.txt"	"trip_short_name"	"139785{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	20
"trips.txt"	"trip_short_name"	"139786{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	21
"trips.txt"	"trip_short_name"	"139787{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	22
"trips.txt"	"trip_short_name"	"139788{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	23
"trips.txt"	"trip_short_name"	"139789{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	24
"trips.txt"	"trip_short_name"	"139796{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_S"	25
"trips.txt"	"trip_short_name"	"139797{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_S"	26
"trips.txt"	"trip_short_name"	"139798{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_S"	27
"trips.txt"	"trip_short_name"	"139799{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_S"	28
"trips.txt"	"trip_short_name"	"139800{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_S"	29
"trips.txt"	"trip_short_name"	"139801{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_S"	30
"trips.txt"	"trip_short_name"	"140354{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	31
"trips.txt"	"trip_short_name"	"140355{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	32
"trips.txt"	"trip_short_name"	"140356{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	33
"trips.txt"	"trip_short_name"	"140357{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	34
"trips.txt"	"trip_short_name"	"140358{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	35
"trips.txt"	"trip_short_name"	"140359{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	36
"trips.txt"	"trip_short_name"	"140360{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	37
"trips.txt"	"trip_short_name"	"140361{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	38
"trips.txt"	"trip_short_name"	"140362{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	39
"trips.txt"	"trip_short_name"	"140363{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	40
"trips.txt"	"trip_short_name"	"140364{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	41
"trips.txt"	"trip_short_name"	"140365{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	42
"trips.txt"	"trip_short_name"	"140366{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	43

big_gap_in_service INFO 16

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap.	gapStartDate (?) The first day of the gap.	gapEndDate (?) The last day of the gap.	gapDurationDays (?) The number of days in the gap.
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	"2025-10-17"	"2025-11-03"	16
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	"2025-12-19"	"2026-01-05"	16
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	"2026-02-13"	"2026-03-02"	16
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV"	"2026-04-10"	"2026-04-27"	16
"URBAIN_VITRE_SEPT25_PS_01_LMWJV"	"2025-10-17"	"2025-11-03"	16
"URBAIN_VITRE_SEPT25_PS_01_LMWJV"	"2025-12-19"	"2026-01-05"	16
"URBAIN_VITRE_SEPT25_PS_01_LMWJV"	"2026-02-13"	"2026-03-02"	16
"URBAIN_VITRE_SEPT25_PS_01_LMWJV"	"2026-04-10"	"2026-04-27"	16
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_S"	"2025-10-11"	"2025-11-08"	27
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_S"	"2025-12-13"	"2026-01-10"	27
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_S"	"2026-02-07"	"2026-03-07"	27
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_S"	"2026-04-04"	"2026-05-02"	27
"URBAIN_VITRE_SEPT25_PS_01_S"	"2025-10-11"	"2025-11-08"	27
"URBAIN_VITRE_SEPT25_PS_01_S"	"2025-12-13"	"2026-01-10"	27
"URBAIN_VITRE_SEPT25_PS_01_S"	"2026-02-07"	"2026-03-07"	27
"URBAIN_VITRE_SEPT25_PS_01_S"	"2026-04-04"	"2026-05-02"	27