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Source Data Validation Report

reseau-ruban — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-28T06:30:52Z,
for the dataset file:///shared/reseau-ruban_4b9a4cbb.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Villefontaine
- website: https://www.rubantransport.com/
- phone number: 04 74 96 48 07
- email: Not provided

Feed Info

Publisher Name:
N/A: Publisher URL:
N/A: Feed Email:
N/A: Feed Language:
N/A: Service Window:
2023-07-15 to 2025-08-31 (?) 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
routes.txt
shapes.txt
stop_times.txt
stops.txt
trips.txt

Counts

Agencies: 1
Blocks: 228
Routes: 14
Shapes: 192
Stops: 791
Trips: 1876

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

ShapesRoute ColorsHeadsignsLocation Types

Specification Compliance report

57096 notices reported (59 errors, 57037 warnings, 0 infos)

Notice Code Severity Total

block_trips_with_overlapping_stop_times ERROR 59

block_trips_with_overlapping_stop_times

Trips with the same block id have overlapping stop times.

You can see more about this notice here.

Only the first 50 of 59 affected records are displayed below.

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.
1749	"TEST-1"	"27"	1761	"TEST-20"	"27"	"PAR01"	"20230901"
1749	"TEST-1"	"27"	1764	"TEST-23"	"27"	"PAR01"	"20230901"
1749	"TEST-1"	"27"	1767	"TEST-26"	"27"	"PAR01"	"20230901"
1760	"TEST-2"	"31"	1771	"TEST-3"	"ETE LàV"	"PAR01"	"20230717"
1760	"TEST-2"	"31"	1763	"TEST-22"	"31"	"PAR01"	"20230710"
1760	"TEST-2"	"31"	1766	"TEST-25"	"31"	"PAR01"	"20230710"
1760	"TEST-2"	"31"	1769	"TEST-28"	"31"	"PAR01"	"20230710"
1771	"TEST-3"	"ETE LàV"	1763	"TEST-22"	"31"	"PAR01"	"20230717"
1771	"TEST-3"	"ETE LàV"	1766	"TEST-25"	"31"	"PAR01"	"20230717"
1771	"TEST-3"	"ETE LàV"	1769	"TEST-28"	"31"	"PAR01"	"20230717"
1782	"TEST-4"	"4"	1762	"TEST-21"	"4"	"PAR01"	"20230906"
1782	"TEST-4"	"4"	1765	"TEST-24"	"4"	"PAR01"	"20230906"
1782	"TEST-4"	"4"	1768	"TEST-27"	"4"	"PAR01"	"20230906"
1774	"TEST-32"	"27"	1752	"TEST-12"	"27"	"PAR01"	"20230901"
1775	"TEST-33"	"4"	1753	"TEST-13"	"4"	"PAR01"	"20230906"
1750	"TEST-10"	"31"	1751	"TEST-11"	"ETE LàV"	"PAR01"	"20230717"
1750	"TEST-10"	"31"	1776	"TEST-34"	"31"	"PAR01"	"20230710"
1750	"TEST-10"	"31"	1779	"TEST-37"	"31"	"PAR01"	"20230710"
1750	"TEST-10"	"31"	1783	"TEST-40"	"31"	"PAR01"	"20230710"
1750	"TEST-10"	"31"	1786	"TEST-43"	"31"	"PAR01"	"20230710"
1750	"TEST-10"	"31"	1789	"TEST-46"	"31"	"PAR01"	"20230710"
1751	"TEST-11"	"ETE LàV"	1776	"TEST-34"	"31"	"PAR01"	"20230717"
1751	"TEST-11"	"ETE LàV"	1779	"TEST-37"	"31"	"PAR01"	"20230717"
1751	"TEST-11"	"ETE LàV"	1783	"TEST-40"	"31"	"PAR01"	"20230717"
1751	"TEST-11"	"ETE LàV"	1786	"TEST-43"	"31"	"PAR01"	"20230717"
1751	"TEST-11"	"ETE LàV"	1789	"TEST-46"	"31"	"PAR01"	"20230717"
1752	"TEST-12"	"27"	1777	"TEST-35"	"27"	"PAR01"	"20230901"
1752	"TEST-12"	"27"	1780	"TEST-38"	"27"	"PAR01"	"20230901"
1752	"TEST-12"	"27"	1784	"TEST-41"	"27"	"PAR01"	"20230901"
1752	"TEST-12"	"27"	1787	"TEST-44"	"27"	"PAR01"	"20230901"
1753	"TEST-13"	"4"	1778	"TEST-36"	"4"	"PAR01"	"20230906"
1753	"TEST-13"	"4"	1781	"TEST-39"	"4"	"PAR01"	"20230906"
1753	"TEST-13"	"4"	1785	"TEST-42"	"4"	"PAR01"	"20230906"
1753	"TEST-13"	"4"	1788	"TEST-45"	"4"	"PAR01"	"20230906"
1794	"TEST-50"	"27"	1793	"TEST-5"	"27"	"PAR01"	"20230901"
1795	"TEST-51"	"4"	1798	"TEST-7"	"4"	"PAR01"	"20230906"
1797	"TEST-6"	"ETE LàV"	1800	"TEST-9"	"31"	"PAR01"	"20230717"
1797	"TEST-6"	"ETE LàV"	1796	"TEST-52"	"31"	"PAR01"	"20230717"
1800	"TEST-9"	"31"	1796	"TEST-52"	"31"	"PAR01"	"20230710"
1756	"TEST-16"	"ETE LàV"	1757	"TEST-17"	"31"	"PAR01"	"20230717"
1808	"TEST2_0_2"	"31"	1810	"TEST2_0_4"	"ETE LàV"	"PAR02"	"20230717"
1809	"TEST2_0_3"	"31"	1811	"TEST2_0_5"	"ETE LàV"	"PAR02"	"20230717"
1838	"TEST2_1_2"	"31"	1839	"TEST2_1_3"	"ETE LàV"	"PAR02"	"20230717"
1843	"TEST2_2_2"	"31"	1844	"TEST2_2_3"	"ETE LàV"	"PAR02"	"20230717"
1848	"TEST2_3_2"	"31"	1849	"TEST2_3_3"	"ETE LàV"	"PAR02"	"20230717"
1853	"TEST2_4_2"	"31"	1854	"TEST2_4_3"	"ETE LàV"	"PAR02"	"20230717"
1858	"TEST2_5_2"	"31"	1859	"TEST2_5_3"	"ETE LàV"	"PAR02"	"20230717"
1863	"TEST2_6_2"	"31"	1864	"TEST2_6_3"	"ETE LàV"	"PAR02"	"20230717"
1868	"TEST2_7_2"	"31"	1869	"TEST2_7_3"	"ETE LàV"	"PAR02"	"20230717"
1872	"TEST2_8_1"	"31"	1873	"TEST2_8_2"	"ETE LàV"	"PAR02"	"20230717"

expired_calendar WARNING 5

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record.	serviceId (?) The service id of the faulty record.
2	"27"
3	"31"
4	"32"
5	"4"
6	"ETE LàV"

missing_recommended_file WARNING 1

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 WARNING 54676

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 54676 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	"1001-38895"	0
3	"1001-38895"	1
4	"1001-38895"	2
5	"1001-38895"	3
6	"1001-38895"	4
7	"1001-38895"	5
8	"1001-38895"	6
9	"1001-38895"	7
10	"1001-38895"	8
11	"1001-38895"	9
12	"1001-38895"	10
13	"1001-38895"	11
14	"1001-38895"	12
15	"1001-38895"	13
16	"1001-38895"	14
17	"1001-38895"	15
18	"1001-38895"	16
19	"1001-38895"	17
20	"1001-38895"	18
21	"1001-38895"	19
22	"1001-38895"	20
23	"1001-38895"	21
24	"1001-38895"	22
25	"1001-38895"	23
26	"1001-38895"	24
27	"1001-38895"	25
28	"1001-38895"	26
29	"1001-38895"	27
30	"1001-38895"	28
31	"1001-38895"	29
32	"1001-38895"	30
33	"1001-38895"	31
34	"1001-38895"	32
35	"1001-38895"	33
36	"1001-38895"	34
37	"1001-38895"	35
38	"1001-38896"	0
39	"1001-38896"	1
40	"1001-38896"	2
41	"1001-38896"	3
42	"1001-38896"	4
43	"1001-38896"	5
44	"1001-38896"	6
45	"1001-38896"	7
46	"1001-38896"	8
47	"1001-38896"	9
48	"1001-38896"	10
49	"1001-38896"	11
50	"1001-38896"	12
51	"1001-38896"	13

mixed_case_recommended_field WARNING 1619

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 1619 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.
"stops.txt"	"stop_name"	"CROIX ROUGE"	71
"stops.txt"	"stop_name"	"PALAIS DES SPORTS"	183
"stops.txt"	"stop_name"	"LYCEE ST MARC"	419
"stops.txt"	"stop_name"	"LYCEE ST MARC"	420
"stops.txt"	"stop_name"	"4 routes"	500
"stops.txt"	"stop_name"	"4 routes"	501
"stops.txt"	"stop_name"	"4 routes"	502
"stops.txt"	"stop_name"	"JACQUES BREL"	643
"stops.txt"	"stop_name"	"JACQUES BREL"	644
"stops.txt"	"stop_name"	"JACQUES BREL"	645
"trips.txt"	"trip_headsign"	"LIGNE 3 - FONDBONNIERE - SAYES - NIVOLAS PLACE"	2
"trips.txt"	"trip_headsign"	"LIGNE 3 - FONDBONNIERE - SAYES - NIVOLAS PLACE"	3
"trips.txt"	"trip_headsign"	"LIGNE 3 - FONDBONNIERE - SAYES - NIVOLAS PLACE"	4
"trips.txt"	"trip_headsign"	"LIGNE 3 - FONDBONNIERE - SAYES - NIVOLAS PLACE"	5
"trips.txt"	"trip_headsign"	"LIGNE 3 - NIVOLAS PLACE - SAYES - FONDBONNIERE"	6
"trips.txt"	"trip_headsign"	"LIGNE 3 - NIVOLAS PLACE - SAYES - FONDBONNIERE"	7
"trips.txt"	"trip_headsign"	"LIGNE 3 - NIVOLAS PLACE - SAYES - FONDBONNIERE"	8
"trips.txt"	"trip_headsign"	"LIGNE 2 - MOZAS LE BAS"	9
"trips.txt"	"trip_headsign"	"LIGNE 2 - MOZAS LE BAS"	10
"trips.txt"	"trip_headsign"	"LIGNE 2 - MOZAS LE BAS"	11
"trips.txt"	"trip_headsign"	"LIGNE 2 - TRIFORIUM"	12
"trips.txt"	"trip_headsign"	"LIGNE 2 - TRIFORIUM"	13
"trips.txt"	"trip_headsign"	"LIGNE 2 - TRIFORIUM"	14
"trips.txt"	"trip_headsign"	"LIGNE 2 - TRIFORIUM"	15
"trips.txt"	"trip_headsign"	"LIGNE 2 - MOZAS LE BAS"	16
"trips.txt"	"trip_headsign"	"LIGNE 2 - MOZAS LE BAS"	17
"trips.txt"	"trip_headsign"	"LIGNE 2 - MOZAS LE BAS"	18
"trips.txt"	"trip_headsign"	"LIGNE 2 - MOZAS LE BAS"	19
"trips.txt"	"trip_headsign"	"LIGNE 2 - TRIFORIUM"	20
"trips.txt"	"trip_headsign"	"LIGNE 2 - TRIFORIUM"	21
"trips.txt"	"trip_headsign"	"LIGNE 2 - TRIFORIUM"	22
"trips.txt"	"trip_headsign"	"LIGNE 2 - TRIFORIUM"	23
"trips.txt"	"trip_headsign"	"LIGNE 1 - TRIFORIUM"	24
"trips.txt"	"trip_headsign"	"LIGNE 1 - CHAMPARET"	25
"trips.txt"	"trip_headsign"	"LIGNE 1 - CHAMPARET"	26
"trips.txt"	"trip_headsign"	"LIGNE 1 - CHAMPARET"	27
"trips.txt"	"trip_headsign"	"LIGNE 1 - TRIFORIUM"	28
"trips.txt"	"trip_headsign"	"LIGNE 1 - TRIFORIUM"	29
"trips.txt"	"trip_headsign"	"LIGNE 1 - TRIFORIUM"	30
"trips.txt"	"trip_headsign"	"LIGNE 1 - CHAMPARET"	31
"trips.txt"	"trip_headsign"	"LIGNE 1 - CHAMPARET"	32
"trips.txt"	"trip_headsign"	"LIGNE 1 - CHAMPARET"	33
"trips.txt"	"trip_headsign"	"LIGNE 1 - CHAMPARET"	34
"trips.txt"	"trip_headsign"	"LIGNE 1 - TRIFORIUM"	35
"trips.txt"	"trip_headsign"	"LIGNE 1 - TRIFORIUM"	36
"trips.txt"	"trip_headsign"	"LIGNE 1 - TRIFORIUM"	37
"trips.txt"	"trip_headsign"	"LIGNE 1 - TRIFORIUM"	38
"trips.txt"	"trip_headsign"	"LIGNE 3 - FONDBONNIERE - SAYES - ZA PERELLY"	39
"trips.txt"	"trip_headsign"	"LIGNE 3 - FONDBONNIERE - SAYES - ZA PERELLY"	40
"trips.txt"	"trip_headsign"	"LIGNE 3 - FONDBONNIERE - SAYES - ZA PERELLY"	41

non_ascii_or_non_printable_char WARNING 545

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

Only the first 50 of 545 affected records are displayed below.

filename (?) Name of the faulty file.	csvRowNumber (?) Row number of the faulty record.	columnName (?) Name of the column where the error occurred.	fieldValue (?) Faulty value.
"routes.txt"	12	"route_id"	"Lycée DELORME - St Alban Village"
"calendar.txt"	6	"service_id"	"ETE LàV"
"calendar_dates.txt"	4	"service_id"	"ETE LàV"
"calendar_dates.txt"	5	"service_id"	"ETE LàV"
"calendar_dates.txt"	6	"service_id"	"ETE LàV"
"calendar_dates.txt"	7	"service_id"	"ETE LàV"
"calendar_dates.txt"	8	"service_id"	"ETE LàV"
"calendar_dates.txt"	9	"service_id"	"ETE LàV"
"calendar_dates.txt"	10	"service_id"	"ETE LàV"
"calendar_dates.txt"	11	"service_id"	"ETE LàV"
"calendar_dates.txt"	12	"service_id"	"ETE LàV"
"calendar_dates.txt"	13	"service_id"	"ETE LàV"
"calendar_dates.txt"	14	"service_id"	"ETE LàV"
"calendar_dates.txt"	15	"service_id"	"ETE LàV"
"calendar_dates.txt"	16	"service_id"	"ETE LàV"
"calendar_dates.txt"	17	"service_id"	"ETE LàV"
"calendar_dates.txt"	18	"service_id"	"ETE LàV"
"calendar_dates.txt"	19	"service_id"	"ETE LàV"
"calendar_dates.txt"	20	"service_id"	"ETE LàV"
"calendar_dates.txt"	21	"service_id"	"ETE LàV"
"calendar_dates.txt"	22	"service_id"	"ETE LàV"
"calendar_dates.txt"	23	"service_id"	"ETE LàV"
"calendar_dates.txt"	24	"service_id"	"ETE LàV"
"calendar_dates.txt"	25	"service_id"	"ETE LàV"
"calendar_dates.txt"	26	"service_id"	"ETE LàV"
"calendar_dates.txt"	27	"service_id"	"ETE LàV"
"calendar_dates.txt"	28	"service_id"	"ETE LàV"
"calendar_dates.txt"	29	"service_id"	"ETE LàV"
"calendar_dates.txt"	30	"service_id"	"ETE LàV"
"calendar_dates.txt"	31	"service_id"	"ETE LàV"
"calendar_dates.txt"	32	"service_id"	"ETE LàV"
"calendar_dates.txt"	33	"service_id"	"ETE LàV"
"calendar_dates.txt"	34	"service_id"	"ETE LàV"
"calendar_dates.txt"	35	"service_id"	"ETE LàV"
"calendar_dates.txt"	36	"service_id"	"ETE LàV"
"calendar_dates.txt"	37	"service_id"	"ETE LàV"
"calendar_dates.txt"	690	"service_id"	"ETE LàV"
"calendar_dates.txt"	691	"service_id"	"ETE LàV"
"calendar_dates.txt"	692	"service_id"	"ETE LàV"
"calendar_dates.txt"	693	"service_id"	"ETE LàV"
"calendar_dates.txt"	694	"service_id"	"ETE LàV"
"calendar_dates.txt"	695	"service_id"	"ETE LàV"
"calendar_dates.txt"	696	"service_id"	"ETE LàV"
"calendar_dates.txt"	697	"service_id"	"ETE LàV"
"calendar_dates.txt"	698	"service_id"	"ETE LàV"
"calendar_dates.txt"	699	"service_id"	"ETE LàV"
"calendar_dates.txt"	700	"service_id"	"ETE LàV"
"calendar_dates.txt"	701	"service_id"	"ETE LàV"
"calendar_dates.txt"	702	"service_id"	"ETE LàV"
"calendar_dates.txt"	703	"service_id"	"ETE LàV"

route_long_name_contains_short_name WARNING 11

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`.
"1"	2	"1"	"1"
"2"	3	"2"	"2"
"3"	4	"3"	"3"
"4"	5	"4"	"4"
"5"	6	"5"	"5"
"6"	7	"6"	"6"
"7"	8	"7"	"7"
"8"	9	"8"	"8"
"9"	10	"9"	"9"
"DELVIN"	11	"DELVIN"	"DELVIN"
"Test2"	15	"Test2"	"Test2"

stop_without_stop_time WARNING 72

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 72 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	"BAMAIRI1"	"Badinières Mairie"
4	"BAMAIRI2"	"Badinières Mairie"
6	"BAPLACE1"	"Badinières Place"
7	"BAPLACE2"	"Badinières Place"
9	"BAVOLAN1"	"Voland Pachaudière"
10	"BAVOLAN2"	"Voland Pachaudière"
17	"BJALPES1"	"Alpes"
51	"BJCHARY1"	"Chary"
52	"BJCHARY2"	"Chary"
75	"BJDAUPH1"	"Dauphiné Savoie"
76	"BJDAUPH2"	"Dauphiné Savoie"
114	"BJHOTEL1"	"BJ Hotel de Ville"
125	"BJLADRI1"	"Ladrière"
126	"BJLADRI2"	"Ladrière"
133	"BJLIBER1"	"Rue Libération"
152	"BJMARS1"	"Champ de Mars"
171	"BJMEDIC1"	"Médicis - Gare SNCF"
190	"BJPASTE1"	"Pasteur"
204	"BJPMICH1"	"Saint-Michel"
249	"BJTEMPL1"	"Temple Diederichs"
275	"CVCAFEB1"	"Café Bonnet"
276	"CVCAFEB2"	"Café Bonnet"
278	"CVSTADE1"	"Lot. Du stade"
279	"CVSTADE2"	"Lot. Du stade"
281	"ECVILLA1"	"Eclose Village"
282	"ECVILLA2"	"Eclose Village"
284	"EP85RN1"	"La Combe RN 85"
285	"EP85RN2"	"La Combe RN 85"
287	"EPBIOL1"	"Route de Biol"
288	"EPBIOL2"	"Route de Biol"
396	"MBCOMBU1"	"La Combe Usine"
397	"MBCOMBU2"	"La Combe Usine"
402	"MEGDTOU1"	"Grands Tournants"
403	"MEGDTOU2"	"Grands Tournants"
405	"MEMAIRI1"	"Meyrié Mairie"
406	"MEMAIRI2"	"Meyrié Mairie"
408	"MERIVOI1"	"La Rivoire"
409	"MERIVOI2"	"La Rivoire"
411	"MEVERSN1"	"Vers Nivolas"
412	"MEVERSN2"	"Vers Nivolas"
417	"NVCURTE1"	"Les Curtets"
418	"NVCURTE2"	"Les Curtets"
423	"NVPLACE2"	"Nivolas - La Place"
431	"NVVOISI1"	"Usine Voisin Pascal"
432	"NVVOISI2"	"Usine Voisin Pascal"
453	"QFCHESN1"	"Chesnes RD 1006"
454	"QFCHESN2"	"Chesnes RD 1006"
507	"QFRUPR1"	"Rue de Provence"
508	"QFRUPRO2"	"Rue de Provence"
513	"RMCHATO1"	"Chatonnay"

trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format).	serviceWindowStartDate (?) The start date of the majority service window.	serviceWindowEndDate (?) The end date of the majority service window.
"20260328"	"20230717"	"20230831"

unused_shape WARNING 107

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 107 affected records are displayed below.

shapeId (?) The faulty record's id.	csvRowNumber (?) The row number of the faulty record.
"101"	1161
"102"	1508
"103"	2166
"104"	2614
"105"	3093
"106"	3521
"107"	4093
"108"	4655
"109"	5192
"110"	5616
"111"	6124
"112"	6614
"113"	7058
"114"	7246
"115"	7741
"116"	8496
"117"	8909
"118"	9448
"119"	9639
"120"	10258
"122"	10886
"125"	11621
"126"	12397
"127"	13020
"128"	13546
"129"	14072
"130"	14654
"131"	14854
"135"	15610
"136"	16176
"148"	16866
"152"	17134
"234"	17520
"24"	17590
"25"	17802
"26"	18063
"27"	18261
"30"	18451
"31"	18900
"32"	19681
"33"	20178
"34"	20606
"39"	21021
"40"	21327
"400"	21550
"401"	21559
"41"	21568
"42"	21887
"43"	22122
"44"	23258