citadina — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-21T18:03:38Z,
for the dataset file:///shared/citadina_725ab879.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


  • Transports Urbains Porto Vecchiais Europe/Paris http://acitadina.porto-vecchio.corsica/

Feed Info


Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included


  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts


  • Agencies: 1
  • Blocks: 13
  • Routes: 7
  • Shapes: 7
  • Stops: 56
  • Trips: 162

Specification Compliance report

5269 notices reported (0 errors, 5106 warnings, 163 infos)

Notice Code Severity Total
expired_calendar WARNING 1

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 "feux d'artifices"
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 4120

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 4120 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 "MARINA JM_0" 0
3 "MARINA JM_0" 1
4 "MARINA JM_0" 2
5 "MARINA JM_0" 3
6 "MARINA JM_0" 4
7 "MARINA JM_0" 5
8 "MARINA JM_0" 6
9 "MARINA JM_0" 7
10 "MARINA JM_0" 8
11 "MARINA JM_0" 9
12 "MARINA JM_0" 10
13 "MARINA JM_0" 11
14 "MARINA JM_0" 12
15 "MARINA JM_0" 13
16 "MARINA JM_0" 14
17 "MARINA JM_0" 15
18 "MARINA JM_0" 16
19 "MARINA JM_0" 17
20 "MARINA JM_0" 18
21 "MARINA JM_0" 19
22 "MARINA JM_0" 20
23 "MARINA JM_0" 21
24 "MARINA JM_0" 22
25 "MARINA JM_0" 23
26 "MARINA JM_0" 24
27 "MARINA JM_0" 25
28 "MARINA JM_0" 26
29 "MARINA JM_0" 27
30 "MARINA JM_0" 28
31 "MARINA JM_1" 0
32 "MARINA JM_1" 1
33 "MARINA JM_1" 2
34 "MARINA JM_1" 3
35 "MARINA JM_1" 4
36 "MARINA JM_1" 5
37 "MARINA JM_1" 6
38 "MARINA JM_1" 7
39 "MARINA JM_1" 8
40 "MARINA JM_1" 9
41 "MARINA JM_1" 10
42 "MARINA JM_1" 11
43 "MARINA JM_1" 12
44 "MARINA JM_1" 13
45 "MARINA JM_1" 14
46 "MARINA JM_1" 15
47 "MARINA JM_1" 16
48 "MARINA JM_1" 17
49 "MARINA JM_1" 18
50 "MARINA JM_1" 19
51 "MARINA JM_1" 20
mixed_case_recommended_field WARNING 23

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.
"stops.txt" "stop_name" "douanes" 57
"routes.txt" "route_long_name" "MARINA MARCHES" 3
"routes.txt" "route_desc" "jeudi marchés" 3
"routes.txt" "route_long_name" "PRUNEDDU JEUDI" 6
"trips.txt" "trip_short_name" "PAE JM" 64
"trips.txt" "trip_short_name" "PAE JM" 65
"trips.txt" "trip_short_name" "PAE JM" 66
"trips.txt" "trip_short_name" "PAE JM" 67
"trips.txt" "trip_short_name" "PAE JM" 68
"trips.txt" "trip_short_name" "PAE JM" 69
"trips.txt" "trip_short_name" "PAE JM" 70
"trips.txt" "trip_short_name" "PAE JM" 71
"trips.txt" "trip_short_name" "PAE JM" 72
"trips.txt" "trip_short_name" "PAE JM" 73
"trips.txt" "trip_short_name" "PAE JM" 74
"trips.txt" "trip_headsign" "marina" 160
"trips.txt" "trip_short_name" "marchés" 160
"trips.txt" "trip_headsign" "marina" 161
"trips.txt" "trip_short_name" "marchés" 161
"trips.txt" "trip_headsign" "marina" 162
"trips.txt" "trip_short_name" "marchés" 162
"trips.txt" "trip_headsign" "marina" 163
"trips.txt" "trip_short_name" "marchés" 163
non_ascii_or_non_printable_char WARNING 958

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 958 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.
"stops.txt" 26 "stop_id" "Général De Boissoudy"
"stops.txt" 27 "stop_id" "Jean Jaurès"
"stops.txt" 29 "stop_id" "Maréchal LECLERC"
"stops.txt" 42 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 5 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 10 "stop_id" "Général De Boissoudy"
"stop_times.txt" 34 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 39 "stop_id" "Général De Boissoudy"
"stop_times.txt" 63 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 68 "stop_id" "Général De Boissoudy"
"stop_times.txt" 92 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 97 "stop_id" "Général De Boissoudy"
"stop_times.txt" 121 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 126 "stop_id" "Général De Boissoudy"
"stop_times.txt" 150 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 155 "stop_id" "Général De Boissoudy"
"stop_times.txt" 179 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 184 "stop_id" "Général De Boissoudy"
"stop_times.txt" 208 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 213 "stop_id" "Général De Boissoudy"
"stop_times.txt" 237 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 242 "stop_id" "Général De Boissoudy"
"stop_times.txt" 266 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 271 "stop_id" "Général De Boissoudy"
"stop_times.txt" 295 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 300 "stop_id" "Général De Boissoudy"
"stop_times.txt" 324 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 329 "stop_id" "Général De Boissoudy"
"stop_times.txt" 353 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 358 "stop_id" "Général De Boissoudy"
"stop_times.txt" 382 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 387 "stop_id" "Général De Boissoudy"
"stop_times.txt" 411 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 416 "stop_id" "Général De Boissoudy"
"stop_times.txt" 440 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 445 "stop_id" "Général De Boissoudy"
"stop_times.txt" 469 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 474 "stop_id" "Général De Boissoudy"
"stop_times.txt" 498 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 503 "stop_id" "Général De Boissoudy"
"stop_times.txt" 527 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 532 "stop_id" "Général De Boissoudy"
"stop_times.txt" 556 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 561 "stop_id" "Général De Boissoudy"
"stop_times.txt" 585 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 590 "stop_id" "Général De Boissoudy"
"stop_times.txt" 614 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 619 "stop_id" "Général De Boissoudy"
"stop_times.txt" 643 "stop_id" "Scola Joseph Piétri"
"stop_times.txt" 648 "stop_id" "Général De Boissoudy"
route_long_name_contains_short_name WARNING 2

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`.
"MARINA" 2 "MARINA" "MARINA"
"PAESU" 4 "PAESU" "PAESU"
same_name_and_description_for_route WARNING 1

same_name_and_description_for_route

Same name and description for route.

The GTFS spec defines routes.txt route_desc as:

Description of a route that provides useful, quality information. Do not simply duplicate the name of the route.

See the GTFS and GTFS Best Practices links below for more examples of how to populate the route_short_name, route_long_name, and route_desc fields.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. routeId (?) The id of the faulty record. routeDesc (?) The `routes.routes_desc` of the faulty record. specifiedField (?) Either `route_short_name` or `route_long_name`.
2 "MARINA" "MARINA" "route_short_name"
trip_with_shape_dist_traveled_but_no_shape_distances INFO 162

trip_with_shape_dist_traveled_but_no_shape_distances

A trip has shape_dist_traveled values in stop_times.txt but the shape referenced by the trip's shape_id does not have shape_dist_traveled values on all of its points in shapes.txt.

When stop times define distance values but the shape does not carry matching distances on every point, consumers cannot use those distances to align stops to the shape geometry reliably. This inconsistency may cause incorrect routing or display behaviour.

Note: Only the first stop time carrying a shape_dist_traveled value is referenced in the notice; this is a representative row rather than an exhaustive list.

You can see more about this notice here.

Only the first 50 of 162 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record in trips.txt. tripId (?) The trip_id of the faulty trip. shapeId (?) The shape_id referenced by the trip. stopTimeCsvRowNumber (?) The row number of the first stop_times.txt record for this trip that contains a shape_dist_traveled value. Provided as a representative location; other stop times for the same trip may also carry distance values.
153 "Paesu j_7" "PAESU JEUDI" 3840
154 "Paesu j_8" "PAESU JEUDI" 3862
155 "Paesu j_9" "PAESU JEUDI" 3884
143 "Paesu j_0" "PAESU JEUDI" 3620
144 "Paesu j_1" "PAESU JEUDI" 3642
148 "Paesu j_2" "PAESU JEUDI" 3730
36 "MARINA_21" "MARINA" 988
149 "Paesu j_3" "PAESU JEUDI" 3752
37 "MARINA_22" "MARINA" 1017
150 "Paesu j_4" "PAESU JEUDI" 3774
38 "MARINA_23" "MARINA" 1046
151 "Paesu j_5" "PAESU JEUDI" 3796
152 "Paesu j_6" "PAESU JEUDI" 3818
35 "MARINA_20" "MARINA" 959
89 "PAESU SOIR_11" "PAESU" 2216
90 "PAESU SOIR_12" "PAESU" 2242
88 "PAESU SOIR_10" "PAESU" 2190
32 "MARINA_18" "MARINA" 872
33 "MARINA_19" "MARINA" 901
28 "MARINA_14" "MARINA" 756
29 "MARINA_15" "MARINA" 785
30 "MARINA_16" "MARINA" 814
31 "MARINA_17" "MARINA" 843
24 "MARINA_10" "MARINA" 640
25 "MARINA_11" "MARINA" 669
26 "MARINA_12" "MARINA" 698
27 "MARINA_13" "MARINA" 727
163 "marina marchés_3" "marina marchés" 4094
162 "marina marchés_2" "marina marchés" 4066
161 "marina marchés_1" "marina marchés" 4038
160 "marina marchés_0" "marina marchés" 4010
156 "Pruneddu jeudi_0" "Pruneddu jeudi" 3906
159 "Pruneddu jeudi_3" "Pruneddu jeudi" 3984
157 "Pruneddu jeudi_1" "Pruneddu jeudi" 3932
158 "Pruneddu jeudi_2" "Pruneddu jeudi" 3958
142 "PRUNEDDU_9" "Pruneddu." 3594
141 "PRUNEDDU_8" "Pruneddu." 3568
138 "PRUNEDDU_5" "Pruneddu." 3490
137 "PRUNEDDU_4" "Pruneddu." 3464
140 "PRUNEDDU_7" "Pruneddu." 3542
139 "PRUNEDDU_6" "Pruneddu." 3516
55 "PAESU FEUX_17" "Paesu feux d'artifice" 1422
54 "PAESU FEUX_16" "Paesu feux d'artifice" 1406
77 "PAESU MATIN_10" "PAESU" 1904
49 "PAESU FEUX_11" "Paesu feux d'artifice" 1326
48 "PAESU FEUX_10" "Paesu feux d'artifice" 1310
51 "PAESU FEUX_13" "Paesu feux d'artifice" 1358
50 "PAESU FEUX_12" "Paesu feux d'artifice" 1342
53 "PAESU FEUX_15" "Paesu feux d'artifice" 1390
52 "PAESU FEUX_14" "Paesu feux d'artifice" 1374
unknown_column INFO 1

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.
"trips.txt" "ext_pis_code" 4