tignes — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-01T08:00:42Z,
for the dataset file:///shared/tignes_0f12f4b6.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
Tignes
Feed Email:
N/A
Feed Language:
French
Feed Start Date:
2026-07-17
Feed End Date:
2026-08-30

Files included


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

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 3
  • Shapes: 8
  • Stops: 37
  • Trips: 180

Specification Compliance report

633 notices reported (0 errors, 631 warnings, 2 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 68

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 68 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.
"zenbus:Route:4854284370837504:LOC" 1321 1818.0 84 1320 1818.0 83 0.4052350617727207
"zenbus:Route:4854284370837504:LOC" 1323 1819.0 86 1322 1819.0 85 0.3896807695107936
"zenbus:Route:4854284370837504:LOC" 1421 3955.0 184 1420 3955.0 183 0.23565361230959622
"zenbus:Route:4854284370837504:LOC" 1472 4934.0 235 1471 4934.0 234 0.40737591442018695
"zenbus:Route:4854284370837504:LOC" 1473 4934.0 236 1472 4934.0 235 0.07794298757322247
"zenbus:Route:4854284370837504:LOC" 1475 4935.0 238 1474 4935.0 237 0.07794299864625182
"zenbus:Route:4854284370837504:LOC" 1529 6919.0 292 1528 6919.0 291 0.07796338434608763
"zenbus:Route:4854284370837504:LOC" 1531 6920.0 294 1530 6920.0 293 0.2716073688747467
"zenbus:Route:4854284370837504:LOC" 1532 6920.0 295 1531 6920.0 294 0.23389017379494392
"zenbus:Route:4854284370837504:LOC" 1533 6920.0 296 1532 6920.0 295 0.11119510090982554
"zenbus:Route:4854284370837504:LOC" 1534 6920.0 297 1533 6920.0 296 0.11119510161714974
"zenbus:Route:4854284370837504:LOC" 1535 6920.0 298 1534 6920.0 297 0.22239020181965108
"zenbus:Route:4854284370837504:LOC" 1563 7677.0 326 1562 7677.0 325 0.13580783586980652
"zenbus:Route:4854284370837504:LOC" 1564 7677.0 327 1563 7677.0 326 0.45156287150226426
"zenbus:Route:4854284370837504:LOC" 1565 7677.0 328 1564 7677.0 327 0.11119510020250134
"zenbus:Route:5127849293905920:LOC" 19 362.0 17 18 362.0 16 0.07797736489667766
"zenbus:Route:5127849293905920:LOC" 53 866.0 51 52 866.0 50 0.11119510090982554
"zenbus:Route:5127849293905920:LOC" 82 1293.0 80 81 1293.0 79 0.07798185152613529
"zenbus:Route:5127849293905920:LOC" 83 1293.0 81 82 1293.0 80 0.07798185152613529
"zenbus:Route:5127849293905920:LOC" 89 1468.0 87 88 1468.0 86 0.07798276460573549
"zenbus:Route:5127849293905920:LOC" 90 1468.0 88 89 1468.0 87 0.07798276460573549
"zenbus:Route:5127849293905920:LOC" 111 2129.0 109 110 2129.0 108 0.13581851628194086
"zenbus:Route:5127849293905920:LOC" 127 2426.0 125 126 2426.0 124 0.11119510161714974
"zenbus:Route:5127849293905920:LOC" 140 2815.0 138 139 2815.0 137 0.11119510232447394
"zenbus:Route:5127849293905920:LOC" 141 2815.0 139 140 2815.0 138 0.11119510090982554
"zenbus:Route:5127849293905920:LOC" 150 3146.0 148 149 3146.0 147 0.5614204339610467
"zenbus:Route:5127849293905920:LOC" 151 3146.0 149 150 3146.0 148 0.23567253354515894
"zenbus:Route:4903905302413312:LOC" 209 0.0 1 208 0.0 0 0.27162728517157053
"zenbus:Route:4903905302413312:LOC" 211 1.0 3 210 1.0 2 0.19154199643580178
"zenbus:Route:4903905302413312:LOC" 223 328.0 15 222 328.0 14 0.07798187089459786
"zenbus:Route:4903905302413312:LOC" 225 328.0 17 224 328.0 16 0.15596374178919573
"zenbus:Route:4903905302413312:LOC" 226 328.0 18 225 328.0 17 0.25902683132579063
"zenbus:Route:4903905302413312:LOC" 228 329.0 20 227 329.0 19 0.13581429274985551
"zenbus:Route:4903905302413312:LOC" 236 592.0 28 235 592.0 27 0.25902065335383523
"zenbus:Route:4903905302413312:LOC" 237 592.0 29 236 592.0 28 0.13581298505438824
"zenbus:Route:4903905302413312:LOC" 239 592.0 31 238 592.0 30 0.1915401125287546
"zenbus:Route:4903905302413312:LOC" 241 592.0 33 240 592.0 32 0.19154011027575787
"zenbus:Route:5407653258854400:LOC" 952 3349.0 122 951 3349.0 121 0.07796340642455359
"zenbus:Route:5407653258854400:LOC" 954 3350.0 124 953 3350.0 123 0.22239020252697528
"zenbus:Route:5407653258854400:LOC" 1158 8530.0 328 1157 8530.0 327 0.4676169234129522
"zenbus:Route:5160985130172416:LOC" 173 362.0 18 172 362.0 17 0.07797736489667766
"zenbus:Route:6642885299535872:LOC" 257 265.0 8 256 265.0 7 0.135824291556684
"zenbus:Route:6642885299535872:LOC" 265 495.0 16 264 495.0 15 0.11119510090982554
"zenbus:Route:6642885299535872:LOC" 266 495.0 17 265 495.0 16 0.11119510232447394
"zenbus:Route:6642885299535872:LOC" 267 495.0 18 266 495.0 17 0.34258225525762304
"zenbus:Route:6642885299535872:LOC" 277 847.0 28 276 847.0 27 0.13582036233794645
"zenbus:Route:6642885299535872:LOC" 278 847.0 29 277 847.0 28 0.27164072280077994
"zenbus:Route:6642885299535872:LOC" 279 847.0 30 278 847.0 29 0.27164071958787284
"zenbus:Route:6642885299535872:LOC" 297 1238.0 48 296 1238.0 47 0.13581787348489158
"zenbus:Route:6642885299535872:LOC" 298 1238.0 49 297 1238.0 48 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 6

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

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 the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"zenbus:Route:4903905302413312:LOC" 224 328.0 16 223 328.0 15
"zenbus:Route:4903905302413312:LOC" 238 592.0 30 237 592.0 29
"zenbus:Route:4903905302413312:LOC" 240 592.0 32 239 592.0 31
"zenbus:Route:5160985130172416:LOC" 172 362.0 17 171 362.0 16
"zenbus:Route:5160985130172416:LOC" 207 866.0 52 206 866.0 51
"zenbus:Route:6642885299535872:LOC" 396 3074.0 147 395 3074.0 146
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 "cal1-fri-sat-sun"
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 "20260801" "20260830" "20260831"
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 549

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 549 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 "4851911434960896:0" 0
4 "4851911434960896:0" 2
11 "4851911434960896:0" 9
12 "4851911434960896:1" 0
14 "4851911434960896:1" 2
21 "4851911434960896:1" 9
22 "4851911434960896:2" 0
24 "4851911434960896:2" 2
31 "4851911434960896:2" 9
32 "4851911434960896:3" 0
34 "4851911434960896:3" 2
41 "4851911434960896:3" 9
42 "4851911434960896:4" 0
44 "4851911434960896:4" 2
51 "4851911434960896:4" 9
52 "4851911434960896:5" 0
54 "4851911434960896:5" 2
61 "4851911434960896:5" 9
62 "4851911434960896:6" 0
64 "4851911434960896:6" 2
71 "4851911434960896:6" 9
72 "4851911434960896:7" 0
74 "4851911434960896:7" 2
81 "4851911434960896:7" 9
82 "4851911434960896:8" 0
84 "4851911434960896:8" 2
91 "4851911434960896:8" 9
92 "4851911434960896:9" 0
94 "4851911434960896:9" 2
101 "4851911434960896:9" 9
102 "4851911434960896:10" 0
104 "4851911434960896:10" 2
111 "4851911434960896:10" 9
112 "4851911434960896:11" 0
114 "4851911434960896:11" 2
121 "4851911434960896:11" 9
122 "4851911434960896:12" 0
124 "4851911434960896:12" 2
131 "4851911434960896:12" 9
132 "4851911434960896:13" 0
134 "4851911434960896:13" 2
141 "4851911434960896:13" 9
142 "4851911434960896:14" 0
144 "4851911434960896:14" 2
151 "4851911434960896:14" 9
152 "4851911434960896:15" 0
154 "4851911434960896:15" 2
161 "4851911434960896:15" 9
162 "4851911434960896:16" 0
164 "4851911434960896:16" 2
mixed_case_recommended_field WARNING 5

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.
"routes.txt" "route_long_name" "CIRCUIT TIGNES 2100" 2
"routes.txt" "route_desc" "PUBLISH_AS_LINE_ID=22350003" 2
"routes.txt" "route_long_name" "CIRCUIT TIGNES 1800" 3
"routes.txt" "route_desc" "PUBLISH_AS_LINE_ID=18430001" 3
"routes.txt" "route_desc" "PUBLISH_AS_LINE_ID=851340005" 4
unknown_column INFO 2

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" "zenbus_mission_id" 11
"trips.txt" "trip_headsign_code" 12