libea-navettes — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-20T03:10:28Z,
for the dataset file:///shared/libea-navettes_68f1db6d.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
libéA Mobilités
Feed Email:
N/A
Feed Language:
French
Feed Start Date:
2026-01-01
Feed End Date:
2026-06-28

Files included


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

Counts


  • Agencies: 1
  • Blocks: 9
  • Routes: 2
  • Shapes: 6
  • Stops: 64
  • Trips: 82

Specification Compliance report

85 notices reported (0 errors, 3 warnings, 82 infos)

Notice Code Severity Total
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 "20260620" "20260628" "20260720"
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_recommended_field WARNING 1

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"feed_info.txt" 2 "feed_version"
trip_with_shape_dist_traveled_but_no_shape_distances INFO 82

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 82 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.
66 "252030" "16244" 1070
67 "252031" "16244" 1087
44 "254644" "16317" 720
45 "254688" "16368" 738
81 "252025" "16244" 1325
43 "254643" "16317" 702
82 "252026" "16244" 1342
83 "252027" "16244" 1359
46 "254689" "16365" 742
40 "254640" "16317" 648
77 "252021" "16244" 1257
78 "252022" "16244" 1274
33 "254686" "16367" 539
42 "254642" "16317" 684
79 "252023" "16244" 1291
41 "254641" "16317" 666
80 "252024" "16244" 1308
28 "254608" "16317" 449
27 "254607" "16317" 431
3 "254609" "16317" 19
24 "254604" "16309" 384
65 "252029" "16244" 1053
26 "254606" "16317" 413
25 "254605" "16317" 395
5 "254611" "16317" 55
72 "252036" "16244" 1172
4 "254610" "16317" 37
73 "252037" "16244" 1189
7 "254613" "16317" 91
6 "254612" "16317" 73
68 "252032" "16244" 1104
69 "252033" "16244" 1121
70 "252034" "16244" 1138
71 "252035" "16244" 1155
13 "254619" "16317" 199
12 "254618" "16317" 181
9 "254615" "16317" 127
8 "254614" "16317" 109
11 "254617" "16317" 163
10 "254616" "16317" 145
16 "254622" "16317" 253
51 "252003" "16244" 815
15 "254621" "16317" 235
52 "252004" "16244" 832
18 "254624" "16317" 289
53 "252005" "16244" 849
17 "254623" "16317" 271
63 "252006" "16244" 1019
48 "252000" "16244" 764
14 "254620" "16317" 217