libea-reseau-urbain — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-29T07:04:09Z,
for the dataset file:///shared/libea-reseau-urbain_1085e84c.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:
2026-06-01
Feed End Date:
2026-08-30

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: 996
  • Routes: 9
  • Shapes: 59
  • Stops: 483
  • Trips: 1252

Specification Compliance report

1256 notices reported (0 errors, 4 warnings, 1252 infos)

Notice Code Severity Total
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"
same_name_and_description_for_stop WARNING 1

same_name_and_description_for_stop

Same name and description for stop.

The GTFS spec defines stops.txt stop_description as:

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

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty record. stopDesc (?) The faulty record's `stop_desc`.
189 "22279" "Galinou"
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.
"20260629" "20260601" "20260703"
trip_with_shape_dist_traveled_but_no_shape_distances INFO 1252

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 1252 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.
974 "277900" "17015" 25381
978 "277904" "17024" 25465
977 "277903" "17011" 25444
976 "277902" "17015" 25423
975 "277901" "17011" 25402
981 "277907" "17022" 25547
980 "277906" "17023" 25529
979 "277905" "17022" 25498
533 "265740" "16670" 14094
795 "276630" "17035" 20807
793 "276631" "17034" 20771
788 "276634" "17035" 20687
783 "276635" "17035" 20605
739 "276632" "17037" 19828
790 "276633" "17034" 20715
805 "276638" "17035" 20971
738 "276639" "17037" 19807
804 "276636" "17034" 20949
782 "276637" "17035" 20591
531 "265731" "16670" 14032
514 "265732" "16670" 13507
516 "265733" "16670" 13569
518 "265734" "16670" 13631
512 "265730" "16670" 13445
528 "265739" "16670" 13941
520 "265735" "16670" 13693
522 "265736" "16670" 13755
524 "265737" "16670" 13817
526 "265738" "16670" 13879
761 "276620" "17035" 20209
766 "276623" "17034" 20285
800 "276624" "17035" 20885
737 "276621" "17037" 19786
763 "276622" "17035" 20237
770 "276627" "17034" 20355
768 "276628" "17035" 20321
801 "276625" "17034" 20899
736 "276626" "17035" 19772
772 "276629" "17034" 20397
496 "265720" "16670" 12953
498 "265721" "16670" 13015
500 "265722" "16670" 13077
502 "265723" "16670" 13139
529 "265728" "16670" 13970
511 "265729" "16670" 13416
504 "265724" "16670" 13201
506 "265725" "16670" 13263
508 "265726" "16670" 13325
509 "265727" "16670" 13354
546 "276612" "17034" 14477