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kootenai-rural — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-09T13:28:43Z,
for the dataset file:///shared/kootenai-rural_66d00011.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included

Feed Info

Publisher Name:
Passio Technologies
Publisher URL:
https://passiotech.com
Feed Email:
support@passiotech.com
Feed Language:
English
Feed Start Date:
2026-05-07
Feed End Date:
2026-06-07

Files included

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

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 2
  • Shapes: 2
  • Stops: 19
  • Trips: 31

Specification Compliance report

86 notices reported (0 errors, 86 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 84

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 84 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`.
"14617" 1676 2034.28 81 1675 2034.28 80
"14617" 1757 7488.49 162 1756 7488.49 161
"14617" 1929 17707.15 334 1928 17707.15 333
"14617" 1947 17945.66 352 1946 17945.66 351
"14617" 1981 18499.81 386 1980 18499.81 385
"14617" 2005 18898.75 410 2004 18898.75 409
"14617" 2023 19287.3 428 2022 19287.3 427
"14617" 2043 19806.95 448 2042 19806.95 447
"14617" 2051 19895.3 456 2050 19895.3 455
"14617" 2055 19925.01 460 2054 19925.01 459
"14617" 2065 20296.1 470 2064 20296.1 469
"14617" 2066 20296.1 471 2065 20296.1 470
"14617" 2088 21304.03 493 2087 21304.03 492
"14617" 2091 21325.21 496 2090 21325.21 495
"14617" 2098 21480.41 503 2097 21480.41 502
"14617" 2106 21672.89 511 2105 21672.89 510
"14617" 2108 21704.27 513 2107 21704.27 512
"14617" 2363 45890.45 768 2362 45890.45 767
"14617" 2365 45933.86 770 2364 45933.86 769
"14617" 2373 46244.76 778 2372 46244.76 777
"14617" 2380 46498.77 785 2379 46498.77 784
"14617" 2381 46498.77 786 2380 46498.77 785
"14617" 2395 47261.16 800 2394 47261.16 799
"14617" 2397 47662.53 802 2396 47662.53 801
"14617" 2399 47701.2 804 2398 47701.2 803
"14617" 2400 47701.2 805 2399 47701.2 804
"14617" 2514 63474.38 919 2513 63474.38 918
"14617" 2551 66229.73 956 2550 66229.73 955
"14617" 2610 70750.95 1015 2609 70750.95 1014
"14617" 2612 70772.1 1017 2611 70772.1 1016
"14617" 2617 70849.46 1022 2616 70849.46 1021
"14617" 2618 70849.46 1023 2617 70849.46 1022
"14617" 2623 70962.5 1028 2622 70962.5 1027
"14617" 2629 71119.86 1034 2628 71119.86 1033
"14617" 2631 71151.23 1036 2630 71151.23 1035
"14617" 2644 71545.96 1049 2643 71545.96 1048
"14617" 2649 71838.73 1054 2648 71838.73 1053
"14617" 2663 72253.85 1068 2662 72253.85 1067
"14617" 2667 72314.3 1072 2666 72314.3 1071
"14617" 2668 72314.3 1073 2667 72314.3 1072
"14617" 2669 72314.3 1074 2668 72314.3 1073
"14617" 2670 72314.3 1075 2669 72314.3 1074
"14617" 2680 72520.96 1085 2679 72520.96 1084
"14617" 2681 72520.96 1086 2680 72520.96 1085
"14617" 2704 74252.32 1109 2703 74252.32 1108
"14617" 2710 74291.43 1115 2709 74291.43 1114
"14617" 2723 74587.5 1128 2722 74587.5 1127
"14617" 2725 74699.93 1130 2724 74699.93 1129
"14617" 2726 74699.93 1131 2725 74699.93 1130
"14617" 2738 74866.51 1143 2737 74866.51 1142
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 "20260509" "20260607" "20260608"
stop_too_far_from_shape_using_user_distance WARNING 1

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

You can see more about this notice here.

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. geoDistanceToShape (?) Distance from stop to shape.
15 "14617" "196854" 103 "40778" "Worley Smoke Shop" [47.40051209730956,-116.91550365700057] 106.36735974484107