GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-23T06:59:10Z,
for the dataset file:///shared/nuuk.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

  • Nuup Bussii

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: 0
  • Routes: 4
  • Shapes: 17
  • Stops: 45
  • Trips: 23

Specification Compliance report

7878 notices reported (0 errors, 7878 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 4798

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.

Only the first 50 of 4798 affected records are displayed below.

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`.
"shp_3_10" 25978 674.571 27 25977 674.571 26
"shp_3_10" 26042 1878.472 91 26041 1878.472 90
"shp_3_10" 26092 2674.09 141 26091 2674.09 140
"shp_3_10" 26105 3190.206 154 26104 3190.206 153
"shp_3_10" 26124 3764.896 173 26123 3764.896 172
"shp_3_10" 26141 4218.307 190 26140 4218.307 189
"shp_3_10" 26154 4680.074 203 26153 4680.074 202
"shp_3_10" 26168 4805.963 217 26167 4805.963 216
"shp_3_10" 26179 5011.276 228 26178 5011.276 227
"shp_3_10" 26192 5292.347 241 26191 5292.347 240
"shp_3_10" 26218 5811.488 267 26217 5811.488 266
"shp_3_10" 26239 6313.55 288 26238 6313.55 287
"shp_3_10" 26269 6881.5 318 26268 6881.5 317
"shp_3_10" 26308 7924.724 357 26307 7924.724 356
"shp_3_10" 26349 8657.172 398 26348 8657.172 397
"shp_3_10" 26373 9288.447 422 26372 9288.447 421
"shp_3_10" 26411 10449.352 460 26410 10449.352 459
"shp_3_10" 26419 10915.984 468 26418 10915.984 467
"shp_3_10" 26431 11242.295 480 26430 11242.295 479
"shp_3_10" 26439 11681.367 488 26438 11681.367 487
"shp_3_10" 26444 11863.993 493 26443 11863.993 492
"shp_3_10" 26456 12089.767 505 26455 12089.767 504
"shp_3_10" 26462 12350.104 511 26461 12350.104 510
"shp_3_10" 26499 13518.161 548 26498 13518.161 547
"shp_3_10" 26525 14192.731 574 26524 14192.731 573
"shp_3_10" 26589 15396.629 638 26588 15396.629 637
"shp_3_10" 26639 16192.246 688 26638 16192.246 687
"shp_3_10" 26652 16708.365 701 26651 16708.365 700
"shp_3_10" 26671 17283.053 720 26670 17283.053 719
"shp_3_10" 26688 17736.459 737 26687 17736.459 736
"shp_3_10" 26701 18198.225 750 26700 18198.225 749
"shp_3_10" 26715 18324.113 764 26714 18324.113 763
"shp_3_10" 26726 18529.424 775 26725 18529.424 774
"shp_3_10" 26739 18810.492 788 26738 18810.492 787
"shp_3_10" 26765 19329.639 814 26764 19329.639 813
"shp_3_10" 26786 19831.699 835 26785 19831.699 834
"shp_3_10" 26816 20399.648 865 26815 20399.648 864
"shp_3_10" 26855 21442.875 904 26854 21442.875 903
"shp_3_10" 26896 22175.324 945 26895 22175.324 944
"shp_3_10" 26920 22806.605 969 26919 22806.605 968
"shp_3_10" 26958 23967.502 1007 26957 23967.502 1006
"shp_3_10" 26966 24434.137 1015 26965 24434.137 1014
"shp_3_10" 26978 24760.449 1027 26977 24760.449 1026
"shp_3_10" 26986 25199.52 1035 26985 25199.52 1034
"shp_3_10" 26991 25382.145 1040 26990 25382.145 1039
"shp_3_10" 27003 25607.92 1052 27002 25607.92 1051
"shp_3_10" 27009 25868.256 1058 27008 25868.256 1057
"shp_3_10" 27046 27036.318 1095 27045 27036.318 1094
"shp_3_10" 27072 27710.893 1121 27071 27710.893 1120
"shp_3_10" 27136 28914.795 1185 27135 28914.795 1184
missing_recommended_field WARNING 4

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.
"routes.txt" 2 "agency_id"
"routes.txt" 3 "agency_id"
"routes.txt" 4 "agency_id"
"routes.txt" 5 "agency_id"
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"
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" "400-rtalik" 34
stop_has_too_many_matches_for_shape WARNING 3072

stop_has_too_many_matches_for_shape

Stop entry that has many potential matches to the trip's path of travel, as defined by the shape entry in shapes.txt.

This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

Only the first 50 of 3072 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. matchCount (?) The number of matches for the stop that is referred to.
16 "shp_3_10" "2sun2" 5839 "17" "Sarfaannguit" [64.1794739785962,-51.72248323652612] 30
16 "shp_3_10" "2sun2" 5840 "18" "Akunnerit" [64.18541623012213,-51.72153484658895] 45
16 "shp_3_10" "2sun2" 5841 "7" "Qajaasat" [64.19180141651054,-51.71012660764468] 150
16 "shp_3_10" "2sun2" 5842 "1" "Eqalugalinnguit" [64.18873001239041,-51.711705707723134] 75
16 "shp_3_10" "2sun2" 5853 "7" "Qajaasat" [64.19180141651054,-51.71012660764468] 150
16 "shp_3_10" "2sun2" 5854 "8" "Paarnat" [64.188697607228,-51.71389569708851] 120
16 "shp_3_10" "2sun2" 5855 "9" "EqalugalinnguitTasiat" [64.1852907524398,-51.72161862594783] 30
16 "shp_3_10" "2sun2" 5862 "16" "Qatserisut" [64.17051138423726,-51.73117395289968] 43
16 "shp_3_10" "2sun2" 5863 "17" "Sarfaannguit" [64.1794739785962,-51.72248323652612] 30
16 "shp_3_10" "2sun2" 5864 "18" "Akunnerit" [64.18541623012213,-51.72153484658895] 45
16 "shp_3_10" "2sun2" 5865 "7" "Qajaasat" [64.19180141651054,-51.71012660764468] 150
16 "shp_3_10" "2sun2" 5866 "1" "Eqalugalinnguit" [64.18873001239041,-51.711705707723134] 75
16 "shp_3_10" "2sun2" 5877 "7" "Qajaasat" [64.19180141651054,-51.71012660764468] 150
16 "shp_3_10" "2sun2" 5878 "8" "Paarnat" [64.188697607228,-51.71389569708851] 120
16 "shp_3_10" "2sun2" 5879 "9" "EqalugalinnguitTasiat" [64.1852907524398,-51.72161862594783] 30
16 "shp_3_10" "2sun2" 5886 "16" "Qatserisut" [64.17051138423726,-51.73117395289968] 43
16 "shp_3_10" "2sun2" 5887 "17" "Sarfaannguit" [64.1794739785962,-51.72248323652612] 30
16 "shp_3_10" "2sun2" 5888 "18" "Akunnerit" [64.18541623012213,-51.72153484658895] 45
16 "shp_3_10" "2sun2" 5889 "7" "Qajaasat" [64.19180141651054,-51.71012660764468] 150
16 "shp_3_10" "2sun2" 5890 "1" "Eqalugalinnguit" [64.18873001239041,-51.711705707723134] 75
16 "shp_3_10" "2sun2" 5901 "7" "Qajaasat" [64.19180141651054,-51.71012660764468] 150
16 "shp_3_10" "2sun2" 5902 "8" "Paarnat" [64.188697607228,-51.71389569708851] 120
16 "shp_3_10" "2sun2" 5903 "9" "EqalugalinnguitTasiat" [64.1852907524398,-51.72161862594783] 30
16 "shp_3_10" "2sun2" 5910 "16" "Qatserisut" [64.17051138423726,-51.73117395289968] 43
16 "shp_3_10" "2sun2" 5911 "17" "Sarfaannguit" [64.1794739785962,-51.72248323652612] 30
16 "shp_3_10" "2sun2" 5912 "18" "Akunnerit" [64.18541623012213,-51.72153484658895] 45
16 "shp_3_10" "2sun2" 5913 "7" "Qajaasat" [64.19180141651054,-51.71012660764468] 150
16 "shp_3_10" "2sun2" 5914 "1" "Eqalugalinnguit" [64.18873001239041,-51.711705707723134] 75
16 "shp_3_10" "2sun2" 5925 "7" "Qajaasat" [64.19180141651054,-51.71012660764468] 150
16 "shp_3_10" "2sun2" 5926 "8" "Paarnat" [64.188697607228,-51.71389569708851] 120
16 "shp_3_10" "2sun2" 5927 "9" "EqalugalinnguitTasiat" [64.1852907524398,-51.72161862594783] 30
16 "shp_3_10" "2sun2" 5934 "16" "Qatserisut" [64.17051138423726,-51.73117395289968] 43
16 "shp_3_10" "2sun2" 5935 "17" "Sarfaannguit" [64.1794739785962,-51.72248323652612] 30
16 "shp_3_10" "2sun2" 5936 "18" "Akunnerit" [64.18541623012213,-51.72153484658895] 45
16 "shp_3_10" "2sun2" 5937 "7" "Qajaasat" [64.19180141651054,-51.71012660764468] 150
16 "shp_3_10" "2sun2" 5938 "1" "Eqalugalinnguit" [64.18873001239041,-51.711705707723134] 75
16 "shp_3_10" "2sun2" 5949 "7" "Qajaasat" [64.19180141651054,-51.71012660764468] 150
16 "shp_3_10" "2sun2" 5950 "8" "Paarnat" [64.188697607228,-51.71389569708851] 120
16 "shp_3_10" "2sun2" 5951 "9" "EqalugalinnguitTasiat" [64.1852907524398,-51.72161862594783] 30
16 "shp_3_10" "2sun2" 5958 "16" "Qatserisut" [64.17051138423726,-51.73117395289968] 43
16 "shp_3_10" "2sun2" 5959 "17" "Sarfaannguit" [64.1794739785962,-51.72248323652612] 30
16 "shp_3_10" "2sun2" 5960 "18" "Akunnerit" [64.18541623012213,-51.72153484658895] 45
16 "shp_3_10" "2sun2" 5961 "7" "Qajaasat" [64.19180141651054,-51.71012660764468] 150
16 "shp_3_10" "2sun2" 5962 "1" "Eqalugalinnguit" [64.18873001239041,-51.711705707723134] 75
16 "shp_3_10" "2sun2" 5973 "7" "Qajaasat" [64.19180141651054,-51.71012660764468] 150
16 "shp_3_10" "2sun2" 5974 "8" "Paarnat" [64.188697607228,-51.71389569708851] 120
16 "shp_3_10" "2sun2" 5975 "9" "EqalugalinnguitTasiat" [64.1852907524398,-51.72161862594783] 30
16 "shp_3_10" "2sun2" 5982 "16" "Qatserisut" [64.17051138423726,-51.73117395289968] 43
16 "shp_3_10" "2sun2" 5983 "17" "Sarfaannguit" [64.1794739785962,-51.72248323652612] 30
16 "shp_3_10" "2sun2" 5984 "18" "Akunnerit" [64.18541623012213,-51.72153484658895] 45
unusable_trip WARNING 1

unusable_trip

Trips must have more than one stop to be usable.

A trip must visit more than one stop in stop_times.txt to be usable by passengers for boarding and alighting.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's id.
4 "1sat3"
unused_trip WARNING 1

unused_trip

Trip is not be used in stop_times.txt

Trips should be referred to at least once in stop_times.txt.

You can see more about this notice here.

tripId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"1sat3" 4