citadina — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-27T04:02:43Z,
for the dataset file:///shared/citadina_98659c06.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. routes.txt
  4. shapes.txt
  5. stop_times.txt
  6. stops.txt
  7. trips.txt

Counts


  • Agencies: 1
  • Blocks: 6
  • Routes: 3
  • Shapes: 3
  • Stops: 56
  • Trips: 72

Specification Compliance report

2194 notices reported (0 errors, 2121 warnings, 73 infos)

Notice Code Severity Total
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 1944

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 1944 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_0" 0
3 "MARINA_0" 1
4 "MARINA_0" 2
5 "MARINA_0" 3
6 "MARINA_0" 4
7 "MARINA_0" 5
8 "MARINA_0" 6
9 "MARINA_0" 7
10 "MARINA_0" 8
11 "MARINA_0" 9
12 "MARINA_0" 10
13 "MARINA_0" 11
14 "MARINA_0" 12
15 "MARINA_0" 13
16 "MARINA_0" 14
17 "MARINA_0" 15
18 "MARINA_0" 16
19 "MARINA_0" 17
20 "MARINA_0" 18
21 "MARINA_0" 19
22 "MARINA_0" 20
23 "MARINA_0" 21
24 "MARINA_0" 22
25 "MARINA_0" 23
26 "MARINA_0" 24
27 "MARINA_0" 25
28 "MARINA_0" 26
29 "MARINA_0" 27
30 "MARINA_0" 28
31 "MARINA_1" 0
32 "MARINA_1" 1
33 "MARINA_1" 2
34 "MARINA_1" 3
35 "MARINA_1" 4
36 "MARINA_1" 5
37 "MARINA_1" 6
38 "MARINA_1" 7
39 "MARINA_1" 8
40 "MARINA_1" 9
41 "MARINA_1" 10
42 "MARINA_1" 11
43 "MARINA_1" 12
44 "MARINA_1" 13
45 "MARINA_1" 14
46 "MARINA_1" 15
47 "MARINA_1" 16
48 "MARINA_1" 17
49 "MARINA_1" 18
50 "MARINA_1" 19
51 "MARINA_1" 20
mixed_case_recommended_field WARNING 1

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
non_ascii_or_non_printable_char WARNING 172

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 172 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" 3 "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 72

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 72 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.
52 "PRUNEDDU_10" "Pruneddu." 1374
53 "PRUNEDDU_11" "Pruneddu." 1400
54 "PRUNEDDU_12" "Pruneddu." 1426
55 "PRUNEDDU_13" "Pruneddu." 1452
56 "PRUNEDDU_14" "Pruneddu." 1478
57 "PRUNEDDU_15" "Pruneddu." 1504
58 "PRUNEDDU_16" "Pruneddu." 1530
59 "PRUNEDDU_17" "Pruneddu." 1556
60 "PRUNEDDU_18" "Pruneddu." 1582
61 "PRUNEDDU_19" "Pruneddu." 1608
51 "PRUNEDDU_1" "Pruneddu." 1348
50 "PRUNEDDU_0" "Pruneddu." 1322
67 "PRUNEDDU_3" "Pruneddu." 1764
62 "PRUNEDDU_2" "Pruneddu." 1634
16 "MARINA_21" "MARINA" 408
17 "MARINA_22" "MARINA" 437
18 "MARINA_23" "MARINA" 466
63 "PRUNEDDU_20" "Pruneddu." 1660
15 "MARINA_20" "MARINA" 379
64 "PRUNEDDU_21" "Pruneddu." 1686
65 "PRUNEDDU_22" "Pruneddu." 1712
66 "PRUNEDDU_23" "Pruneddu." 1738
2 "MARINA_0" "MARINA" 2
40 "PAESU SOIR_11" "PAESU" 1062
41 "PAESU SOIR_12" "PAESU" 1088
23 "MARINA_7" "MARINA" 611
49 "PAESU SOIR_9" "PAESU" 1296
24 "MARINA_8" "MARINA" 640
39 "PAESU SOIR_10" "PAESU" 1036
48 "PAESU SOIR_8" "PAESU" 1270
21 "MARINA_5" "MARINA" 553
22 "MARINA_6" "MARINA" 582
12 "MARINA_18" "MARINA" 292
19 "MARINA_3" "MARINA" 495
13 "MARINA_19" "MARINA" 321
20 "MARINA_4" "MARINA" 524
3 "MARINA_1" "MARINA" 31
14 "MARINA_2" "MARINA" 350
8 "MARINA_14" "MARINA" 176
38 "PAESU SOIR_1" "PAESU" 1010
9 "MARINA_15" "MARINA" 205
10 "MARINA_16" "MARINA" 234
43 "PAESU SOIR_3" "PAESU" 1140
11 "MARINA_17" "MARINA" 263
42 "PAESU SOIR_2" "PAESU" 1114
4 "MARINA_10" "MARINA" 60
45 "PAESU SOIR_5" "PAESU" 1192
5 "MARINA_11" "MARINA" 89
44 "PAESU SOIR_4" "PAESU" 1166
6 "MARINA_12" "MARINA" 118
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