calgary-transit2 — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-23T23:45:34Z,
for the dataset file:///shared/calgary-transit2_7326c149.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


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: 0
  • Blocks: 1775
  • Routes: 264
  • Shapes: 657
  • Stops: 6168
  • Trips: 26856

Specification Compliance report

57533 notices reported (2637 errors, 54896 warnings, 0 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 1

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"73227764" "8321" 565468 3.365 13 565467 3.365 12
trip_distance_exceeds_shape_distance ERROR 2636

trip_distance_exceeds_shape_distance

The distance between the last shape point and last stop point is greater than or equal to the 11.1m threshold.

You can see more about this notice here.

Only the first 50 of 2636 affected records are displayed below.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"73245690" "1180027" 11.965 11.964 14.039347465812693
"73245691" "1180027" 11.965 11.964 14.039347465812693
"73245692" "1180027" 11.965 11.964 14.039347465812693
"73245693" "1180027" 11.965 11.964 14.039347465812693
"73245694" "1180027" 11.965 11.964 14.039347465812693
"73245695" "1180027" 11.965 11.964 14.039347465812693
"73245696" "1180027" 11.965 11.964 14.039347465812693
"73245697" "1180027" 11.965 11.964 14.039347465812693
"73245698" "1180027" 11.965 11.964 14.039347465812693
"73245699" "1180027" 11.965 11.964 14.039347465812693
"73245700" "1180027" 11.965 11.964 14.039347465812693
"73245701" "1180027" 11.965 11.964 14.039347465812693
"73245702" "1180027" 11.965 11.964 14.039347465812693
"73245703" "1180027" 11.965 11.964 14.039347465812693
"73245704" "1180027" 11.965 11.964 14.039347465812693
"73245705" "1180027" 11.965 11.964 14.039347465812693
"73245706" "1180027" 11.965 11.964 14.039347465812693
"73245707" "1180027" 11.965 11.964 14.039347465812693
"73245708" "1180027" 11.965 11.964 14.039347465812693
"73245709" "1180027" 11.965 11.964 14.039347465812693
"73245710" "1180027" 11.965 11.964 14.039347465812693
"73245711" "1180027" 11.965 11.964 14.039347465812693
"73245712" "1180027" 11.965 11.964 14.039347465812693
"73245713" "1180027" 11.965 11.964 14.039347465812693
"73245714" "1180027" 11.965 11.964 14.039347465812693
"73245715" "1180027" 11.965 11.964 14.039347465812693
"73245716" "1180027" 11.965 11.964 14.039347465812693
"73245717" "1180027" 11.965 11.964 14.039347465812693
"73245718" "1180027" 11.965 11.964 14.039347465812693
"73245741" "4140030" 8.312 8.311 11.620169067310695
"73245790" "1180028" 8.811 8.81 14.039347465812693
"73245841" "1580013" 9.093 9.092 12.462031605215124
"73245845" "1580013" 9.093 9.092 12.462031605215124
"73245847" "1580013" 9.093 9.092 12.462031605215124
"73245848" "1580013" 9.093 9.092 12.462031605215124
"73245849" "1580013" 9.093 9.092 12.462031605215124
"73245850" "1580013" 9.093 9.092 12.462031605215124
"73245851" "1580013" 9.093 9.092 12.462031605215124
"73245852" "1580013" 9.093 9.092 12.462031605215124
"73245853" "1580013" 9.093 9.092 12.462031605215124
"73245854" "1580013" 9.093 9.092 12.462031605215124
"73245855" "1580013" 9.093 9.092 12.462031605215124
"73245856" "1580013" 9.093 9.092 12.462031605215124
"73245857" "1580013" 9.093 9.092 12.462031605215124
"73245858" "1580013" 9.093 9.092 12.462031605215124
"73245859" "1580013" 9.093 9.092 12.462031605215124
"73245860" "1580013" 9.093 9.092 12.462031605215124
"73245861" "1580013" 9.093 9.092 12.462031605215124
"73245862" "1580013" 9.093 9.092 12.462031605215124
"73245863" "1580013" 9.093 9.092 12.462031605215124
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 611

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 611 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.
"570118" 91321 6.048 120009 91320 6.048 120008 0.5732560935100082
"570118" 91409 7.557 160002 91408 7.557 160001 0.20954780290148614
"570118" 91508 10.438 250002 91507 10.438 250001 0.2793953445378706
"570116" 90491 0.716 20002 90490 0.716 20001 0.20954780290148614
"570116" 90590 3.597 110002 90589 3.597 110001 0.2793953445378706
"570117" 90648 0.279 20015 90647 0.279 20014 0.36164555897999356
"570117" 91021 9.389 330002 91020 9.389 330001 0.6816334515259489
"570114" 90156 6.048 120009 90155 6.048 120008 0.5732560935100082
"1570048" 190125 4.433 50004 190124 4.433 50003 0.1312634692921487
"3040060" 209432 13.495 110008 209431 13.495 110007 0.4662985781722513
"3040060" 209571 19.86 160015 209570 19.86 160014 0.5603741118778863
"570115" 90354 3.378 120002 90353 3.378 120001 0.6816334515259489
"570115" 90417 4.572 150023 90416 4.572 150022 0.6221841843418138
"1570047" 190034 15.726 280002 190033 15.726 280001 0.8448112986692039
"8730001" 336100 8.425 210028 336099 8.425 210027 0.6227209241372109
"3040061" 209727 6.251 60013 209726 6.251 60012 0.4662985781722513
"1090025" 144284 15.967 280002 144283 15.967 280001 0.41856588533316397
"8490005" 324911 17.441 220354 324910 17.441 220353 0.23766979188242052
"660037" 98909 5.641 180002 98908 5.641 180001 0.3335853034368008
"1250025" 161778 4.596 120011 161777 4.596 120010 0.11119510090982554
"660036" 98584 8.952 180017 98583 8.952 180016 0.5603601874586072
"660036" 98624 9.836 190021 98623 9.836 190020 0.536231370500702
"1490059" 177459 12.592 230076 177458 12.592 230075 0.7908605731355887
"970014" 133910 4.744 140002 133909 4.744 140001 0.27917088832606984
"970014" 133917 4.884 140009 133916 4.884 140008 0.27917103940872856
"970015" 134475 7.297 210008 134474 7.297 210007 0.7907877067077782
"970015" 134689 10.264 300002 134688 10.264 300001 0.27917088832606984
"970015" 134696 10.404 300009 134695 10.404 300008 0.27917103940872856
"8180014" 309069 11.968 190024 309068 11.968 190023 0.30039624840119566
"8260010" 316868 13.05 20221 316867 13.05 20220 0.5251934283174978
"120062" 23891 4.881 130028 23890 4.881 130027 0.6227209241372109
"120062" 23995 6.509 180012 23994 6.509 180011 0.2331852648648844
"7450012" 252742 3.031 110002 252741 3.031 110001 0.27954824773045134
"120060" 23039 0.208 20002 23038 0.208 20001 0.7815185627233533
"120060" 23196 2.662 90017 23195 2.662 90016 0.7815177346976648
"570120" 91650 0.279 20015 91649 0.279 20014 0.36164555897999356
"120059" 21885 0.0 10002 21884 0.0 10001 0.21027524823934518
"120059" 22471 10.634 290002 22470 10.634 290001 0.7815185627233533
"120059" 22628 13.088 360017 22627 13.088 360016 0.7815177346976648
"8650028" 332622 4.862 140006 332621 4.862 140005 0.1314859900638733
"820031" 111103 17.903 310011 111102 17.903 310010 0.17834089907689463
"1510085" 179287 4.699 130021 179286 4.699 130020 0.4351231090671005
"1510089" 181405 31.341 350021 181404 31.341 350020 0.4351231090671005
"8960014" 346800 6.419 20002 346799 6.419 20001 0.5918898979318652
"740015" 101003 3.009 100002 101002 3.009 100001 0.3938313510061107
"740015" 101080 4.992 170002 101079 4.992 170001 0.11119510090982554
"740015" 101124 5.623 190017 101123 5.623 190016 0.7814899816247765
"120047" 21322 0.0 10002 21321 0.0 10001 0.21027524823934518
"7060023" 225824 8.125 190018 225823 8.125 190017 0.6220711551260583
"190151" 36660 0.0 10002 36659 0.0 10001 0.17850452937301983
equal_shape_distance_same_coordinates WARNING 15428

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 15428 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`.
"570118" 91201 2.905 20001 91200 2.905 10066
"570118" 91215 3.155 30001 91214 3.155 20014
"570118" 91233 3.443 40001 91232 3.443 30018
"570118" 91256 3.879 50001 91255 3.879 40023
"570118" 91263 4.255 60001 91262 4.255 50007
"570118" 91270 4.514 70001 91269 4.514 60007
"570118" 91275 4.708 80001 91274 4.708 70005
"570118" 91284 4.895 90001 91283 4.895 80009
"570118" 91305 5.405 100001 91304 5.405 90021
"570118" 91309 5.615 110001 91308 5.615 100004
"570118" 91313 5.823 120001 91312 5.823 110004
"570118" 91322 6.048 130001 91321 6.048 120009
"570118" 91359 6.457 140001 91358 6.457 130037
"570118" 91386 6.841 150001 91385 6.841 140027
"570118" 91408 7.557 160001 91407 7.557 150022
"570118" 91418 7.746 170001 91417 7.746 160010
"570118" 91432 8.084 180001 91431 8.084 170014
"570118" 91443 8.363 190001 91442 8.363 180011
"570118" 91450 8.611 200001 91449 8.611 190007
"570118" 91453 8.775 210001 91452 8.775 200003
"570118" 91465 9.27 220001 91464 9.27 210012
"570118" 91479 9.656 230001 91478 9.656 220014
"570118" 91496 10.038 240001 91495 10.038 230017
"570118" 91507 10.438 250001 91506 10.438 240011
"570118" 91521 10.644 260001 91520 10.644 250014
"570118" 91527 10.847 270001 91526 10.847 260006
"570118" 91539 11.235 280001 91538 11.235 270012
"570119" 91563 0.386 20001 91562 0.386 10014
"570119" 91580 0.767 30001 91579 0.767 20017
"570119" 91591 1.167 40001 91590 1.167 30011
"570119" 91605 1.373 50001 91604 1.373 40014
"570119" 91611 1.576 60001 91610 1.576 50006
"570119" 91623 1.964 70001 91622 1.964 60012
"570116" 90490 0.716 20001 90489 0.716 10022
"570116" 90500 0.905 30001 90499 0.905 20010
"570116" 90514 1.243 40001 90513 1.243 30014
"570116" 90525 1.522 50001 90524 1.522 40011
"570116" 90532 1.77 60001 90531 1.77 50007
"570116" 90535 1.934 70001 90534 1.934 60003
"570116" 90547 2.429 80001 90546 2.429 70012
"570116" 90561 2.816 90001 90560 2.816 80014
"570116" 90578 3.197 100001 90577 3.197 90017
"570116" 90589 3.597 110001 90588 3.597 100011
"570116" 90603 3.803 120001 90602 3.803 110014
"570116" 90609 4.006 130001 90608 4.006 120006
"570116" 90621 4.394 140001 90620 4.394 130012
"570117" 90634 0.103 20001 90633 0.103 10003
"570117" 90668 0.547 30001 90667 0.547 20034
"570117" 90678 0.701 40001 90677 0.701 30010
"570117" 90700 0.942 50001 90699 0.942 40022
leading_or_trailing_whitespaces WARNING 1

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"stops.txt" 336 "stop_name" " NB Belmont ST SW @ Belmont BV SW"
missing_recommended_field WARNING 265

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.

Only the first 50 of 265 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"agency.txt" 2 "agency_id"
"routes.txt" 2 "agency_id"
"routes.txt" 3 "agency_id"
"routes.txt" 4 "agency_id"
"routes.txt" 5 "agency_id"
"routes.txt" 6 "agency_id"
"routes.txt" 7 "agency_id"
"routes.txt" 8 "agency_id"
"routes.txt" 9 "agency_id"
"routes.txt" 10 "agency_id"
"routes.txt" 11 "agency_id"
"routes.txt" 12 "agency_id"
"routes.txt" 13 "agency_id"
"routes.txt" 14 "agency_id"
"routes.txt" 15 "agency_id"
"routes.txt" 16 "agency_id"
"routes.txt" 17 "agency_id"
"routes.txt" 18 "agency_id"
"routes.txt" 19 "agency_id"
"routes.txt" 20 "agency_id"
"routes.txt" 21 "agency_id"
"routes.txt" 22 "agency_id"
"routes.txt" 23 "agency_id"
"routes.txt" 24 "agency_id"
"routes.txt" 25 "agency_id"
"routes.txt" 26 "agency_id"
"routes.txt" 27 "agency_id"
"routes.txt" 28 "agency_id"
"routes.txt" 29 "agency_id"
"routes.txt" 30 "agency_id"
"routes.txt" 31 "agency_id"
"routes.txt" 32 "agency_id"
"routes.txt" 33 "agency_id"
"routes.txt" 34 "agency_id"
"routes.txt" 35 "agency_id"
"routes.txt" 36 "agency_id"
"routes.txt" 37 "agency_id"
"routes.txt" 38 "agency_id"
"routes.txt" 39 "agency_id"
"routes.txt" 40 "agency_id"
"routes.txt" 41 "agency_id"
"routes.txt" 42 "agency_id"
"routes.txt" 43 "agency_id"
"routes.txt" 44 "agency_id"
"routes.txt" 45 "agency_id"
"routes.txt" 46 "agency_id"
"routes.txt" 47 "agency_id"
"routes.txt" 48 "agency_id"
"routes.txt" 49 "agency_id"
"routes.txt" 50 "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 19359

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.

Only the first 50 of 19359 affected records are displayed below.

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" "EB 17 AV SE @ 84 ST SE" 3
"stops.txt" "stop_name" "EB 120 AV NE @ 16 ST NE" 5
"stops.txt" "stop_name" "NB 18 ST NE @ 120 AV NE" 6
"stops.txt" "stop_name" "EB 88 AV @ 36 ST NE" 10
"stops.txt" "stop_name" "NB 46 ST @ 88 AV NE" 29
"stops.txt" "stop_name" "NB 73 ST SW @ 11 AV SW" 34
"stops.txt" "stop_name" "WB 9 AV SW @ 73 ST SW" 36
"stops.txt" "stop_name" "WB 11 AV SW @ 73 ST SW" 41
"stops.txt" "stop_name" "NB 14 ST @ 110 AV NE" 59
"stops.txt" "stop_name" "SB 14 ST @ 110 AV NE" 60
"stops.txt" "stop_name" "EB 110 AV @ 11 ST NE" 74
"stops.txt" "stop_name" "SB 52 ST SE @ 23 AV SE" 76
"stops.txt" "stop_name" "WB @ 7130 - 80 AV NE" 88
"stops.txt" "stop_name" "NB 24 ST SE @ 86 AV SE" 94
"stops.txt" "stop_name" "SB 7 ST SW @ 7 AVE SW" 101
"stops.txt" "stop_name" "WB 33 AV @ 22 ST SW" 111
"stops.txt" "stop_name" "NB 29 ST NE @ 23 AV NE" 143
"stops.txt" "stop_name" "SB 23 ST NE @ 37 AV NE" 187
"stops.txt" "stop_name" "SB 23 ST NE @ 35 AV NE" 188
"stops.txt" "stop_name" "NB 23 ST NE @ 35 AV NE" 189
"stops.txt" "stop_name" "NB 23 ST NE @ 32 AV NE" 190
"stops.txt" "stop_name" "SB 5 ST SW @ 5 AV SW" 192
"stops.txt" "stop_name" "WB 8 AV NE @ 13A ST NE" 193
"stops.txt" "stop_name" "EB 17 AV SE @ 68 ST SE" 201
"stops.txt" "stop_name" "EB 17th AV SE @ 70th ST SE" 202
"stops.txt" "stop_name" "WB 17 AV SE @ 68 ST SE" 203
"stops.txt" "stop_name" "WB 17th AV SE @ 70th ST SE" 204
"stops.txt" "stop_name" "WB 100 AV NE @ 19 ST NE" 207
"stops.txt" "stop_name" "SB 16 ST NE @ 104 AV NE" 209
"stops.txt" "stop_name" "SB 19 ST NE @ 100 AV NE" 210
"stops.txt" "stop_name" "WB 6 AV @ 1 ST SE" 241
"stops.txt" "stop_name" "EB 58 AV @ 37 ST SW" 253
"stops.txt" "stop_name" "EB 8 AV NE @ 13A ST NE" 254
"stops.txt" "stop_name" "EB 9 AV SW @ 81 ST SW" 263
"stops.txt" "stop_name" "WB 9 AV SW @ 77 ST SW" 264
"stops.txt" "stop_name" "EB 64 AV NE @ 11 ST NE" 272
"stops.txt" "stop_name" "EB 162 AV SW @ 24 ST SW" 279
"stops.txt" "stop_name" "WB 17th AV SE @ 84th ST SE" 291
"stops.txt" "stop_name" "NB 52 ST SE @ 94 AV SE" 292
"stops.txt" "stop_name" "SB 52 ST SE @ 94 AV SE" 293
"stops.txt" "stop_name" "SB 2A ST SE @ N. of 25 AV SE" 296
"stops.txt" "stop_name" "NB 68 ST NE @ 4 AV SE" 301
"stops.txt" "stop_name" "NB 68 ST NE @ 26 AV NE" 305
"stops.txt" "stop_name" "NB 68 ST NE @ 32 AV NE" 306
"stops.txt" "stop_name" "NB 68 ST NE @ 37 AV NE" 307
"stops.txt" "stop_name" "NB 68 ST NE @ 43 AV NE" 308
"stops.txt" "stop_name" "SB 68 ST NE @ 43 AV NE" 317
"stops.txt" "stop_name" "SB 68 ST NE @ 32 AV NE" 319
"stops.txt" "stop_name" "SB 68 ST NE @ 26 AV NE" 320
"stops.txt" "stop_name" "SB 68 ST NE @ 22 AV NE" 321
route_long_name_contains_short_name WARNING 1

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"68-20781" 60 "68" "68 St E"
stop_too_far_from_shape_using_user_distance WARNING 357

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.

Only the first 50 of 357 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. geoDistanceToShape (?) Distance from stop to shape.
2189 "660037" "73247798" 72581 "6531" "EB 33 AV SW @ W. of Crowchild TR" [51.024572666669336,-114.12130433333158] 127.10588782962934
2343 "1490059" "73247952" 77544 "1996" "EB 106 AV SE @ Amazon Warehouse" [50.962492532467536,-113.93519784415798] 192.09682902230387
2343 "1490059" "73247952" 77545 "2692" "NB 68 ST SE @ 106 AV SE" [50.9649054883721,-113.93519474425288] 201.86536208852223
2343 "1490059" "73247952" 77546 "2693" "EB 100 AV SE @ 68 ST SE" [50.9673487111206,-113.93125642895318] 198.13596518709028
2343 "1490059" "73247952" 77547 "2694" "SB 74 ST SE @ 104 AV SE" [50.96264996396401,-113.9279680359963] 198.24831761172905
2343 "1490059" "73247952" 77548 "2806" "SB 74 ST SE @ 106 AV SE" [50.96054978050782,-113.92710831965596] 160.17792549883853
2343 "1490059" "73247952" 77549 "2807" "SB 74 ST SE @ N. of 107 AV SE" [50.959091888889134,-113.92452666665433] 176.38325774403947
2343 "1490059" "73247952" 77550 "2808" "WB 107 AV SE @ 74 ST SE" [50.95892712025331,-113.93153971983267] 196.42208564619614
2343 "1490059" "73247952" 77551 "2809" "NB 68 ST SE @ 107 AV SE" [50.96189000000001,-113.93519752893948] 198.712704639558
2343 "1490059" "73247952" 77552 "2810" "WB 106 AV SE @ N Dufferin Industrial" [50.964403476223104,-113.9423343331943] 349.26867223667176
2343 "1490059" "73247952" 77553 "2811" "WB 94 AV SE @ 54 ST SE" [50.96868068304481,-113.9529141537156] 243.280126812582
2343 "1490059" "73247952" 77554 "2300" "NB 52 ST SE @ 94 AV SE" [50.96868589269598,-113.95627401536544] 169.91789113763485
2343 "1490059" "73247952" 77555 "2812" "NB 52 ST SE @ 90 AV SE" [50.97058613846156,-113.95836772302756] 243.53964085836594
2343 "1490059" "73247952" 77556 "5683" "EB 86 AV SE @ 52 ST SE" [50.97393134024899,-113.95837334030065] 178.11723526401806
2343 "1490059" "73247952" 77557 "8678" "EB 86 AV SE @ W. of 60 ST SE" [50.97596600031004,-113.95372950000001] 242.99322020345824
2343 "1490059" "73247952" 77558 "7801" "SB 60 ST SE @ 86 AV SE" [50.97597025666704,-113.94925866327101] 174.1579974710384
2343 "1490059" "73247952" 77559 "6573" "WB 90 AV SE @ 60 ST SE" [50.97402813084113,-113.94678358876983] 188.1940285479052
2343 "1490059" "73247952" 77560 "2813" "WB 90 AV SE @ W. of 60 ST SE" [50.97231000046681,-113.9473175882353] 243.36236392412528
2343 "1490059" "73247952" 77561 "4978" "WB 90 AV SE @ 52 ST SE" [50.97230424176812,-113.95370808425257] 243.35312765065817
2343 "1490059" "73247952" 77562 "9376" "WB 90 AV SE @ 48 ST SE" [50.97229600317282,-113.96057246341466] 242.97455490402814
2343 "1490059" "73247952" 77563 "6489" "WB 90 AV SE @ 44 ST SE" [50.97229701531617,-113.96740877777765] 243.11763705689864
2343 "1490059" "73247952" 77564 "8713" "WB 90 AV SE @ 40 ST SE" [50.97229673854382,-113.97216883689946] 242.95963948566998
2343 "1490059" "73247952" 77565 "2814" "WB 90 AV SE @ 38 ST SE" [50.972295350174036,-113.97496357449276] 242.3989765166697
2343 "1490059" "73247952" 77566 "2434" "NB 24 ST SE @ 86 AV SE" [50.97655847066516,-113.99969935320536] 117.48693631296385
2343 "1490059" "73247952" 77567 "2890" "WB Heritage DR @ Glendeer CI SE" [50.987132166669745,-114.0323830000015] 241.1131917121049
2343 "1490059" "73247952" 77568 "2489" "Deerfoot Meadows Station (WB)" [50.98716200000338,-114.03725474999685] 239.71844371929495
2343 "1490059" "73247952" 77569 "2864" "WB Heritage DR @ Heritage GA SE" [50.9873153334417,-114.04091033329611] 241.41973367611175
2343 "1490059" "73247952" 77570 "7729" "NB 5 ST SE @ 77 AV SE" [50.985727666672744,-114.04801133337202] 145.5244166779649
2343 "1490059" "73247952" 77571 "7726" "WB 71 AV SE @ 5 ST SE" [50.987613,-114.04986849999754] 158.0328526807041
2343 "1490059" "73247952" 77572 "9964" "SB Blackfoot TR @ 71 AV SE" [50.98858642860916,-114.05150357145764] 192.6219339264148
2343 "1490059" "73247952" 77573 "2865" "SB Heritage DR @ 77 AV SE" [50.98444360000394,-114.05162579999713] 210.89190041091
2343 "1490059" "73247952" 77574 "2889" "WB Heritage DR @ Fraser RD SE" [50.98064690002821,-114.05085910003729] 239.15865877620652
2343 "1490059" "73247952" 77575 "6119" "Fairmount Drive Station (WB)" [50.979626220082174,-114.05741430487313] 240.65491649430473
2343 "1490059" "73247952" 77576 "4393" "WB Heritage DR @ Fairview DR SE" [50.97962527277312,-114.06093418181665] 240.97196222700254
2343 "1490059" "73247952" 77577 "6120" "WB Heritage DR @ Flint RD SE" [50.97957109806146,-114.06544541463636] 240.5402966378586
2343 "1490059" "73247952" 77578 "6121" "Heritage LRT Station" [50.97962221100568,-114.07269605262864] 136.64838440005607
16955 "7680024" "73228408" 583812 "2211" "WB Legacy CI @ Legacy VW SE" [50.86088842883226,-114.00843825711647] 103.88126858631469
16955 "7680024" "73228408" 583813 "2212" "WB Legacy CI @ Legacy CM SE" [50.86085874911262,-114.01090551526839] 109.10572821209271
16955 "7680024" "73228408" 583814 "2213" "WB Legacy Main ST SE @ Legacy GA SE" [50.860901429628356,-114.0166134285618] 104.8008156653713
16955 "7680024" "73228408" 583816 "9904" "WB Canterbury DR @ Canterbury PL SW" [50.947861178003116,-114.08725963291492] 107.26597210870273
2147 "440018" "73247756" 71524 "9090" "SB Deer Ridge DR @ Deercrest PL SE" [50.92665919047918,-114.01440790474112] 194.38119496738642
16342 "7320024" "73227788" 565758 "6531" "EB 33 AV SW @ W. of Crowchild TR" [51.0245556923365,-114.12121423073653] 133.4680863128431
24423 "2020394" "72471617" 848562 "3638" "WB Downtown-West Kerby Station (Free Fare Zone)" [51.047016141882054,-114.08081543633206] 481.6516890145208
24423 "2020394" "72471617" 848563 "3636" "WB Sunalta CTrain Station" [51.04724431267806,-114.08906638394552] 822.2545676268902
24423 "2020394" "72471617" 848564 "3634" "WB Shaganappi Point CTrain Station" [51.04312482647633,-114.11218825212286] 860.5004536948559
24423 "2020394" "72471617" 848565 "3632" "WB Westbrook CTrain Station" [51.04157407333277,-114.12461458881108] 845.4343752180368
24423 "2020394" "72471617" 848566 "3630" "WB 45 Street CTrain Station" [51.037909337482326,-114.14079663901157] 879.0686020109907
24423 "2020394" "72471617" 848567 "3628" "WB Sirocco CTrain Station" [51.03816842022656,-114.15906791939354] 735.3541750041663
24423 "2020394" "72471617" 848568 "3626" "WB 69 Street CTrain Station" [51.03675532576768,-114.1762408603792] 861.3925682126347
501 "520069" "73246109" 16635 "4929" "EB Shawnessy BV @ Shannon SQ SW" [50.91840991667471,-114.05323008334597] 3059.5947716659994
trip_distance_exceeds_shape_distance_below_threshold WARNING 18873

trip_distance_exceeds_shape_distance_below_threshold

The distance between the last shape point and last stop point is greater than 0 but less than the 11.1m threshold.

You can see more about this notice here.

Only the first 50 of 18873 affected records are displayed below.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"73245610" "360037" 22.529 22.526 8.562022789861643
"73245611" "360037" 22.529 22.526 8.562022789861643
"73245612" "360037" 22.529 22.526 8.562022789861643
"73245613" "360037" 22.529 22.526 8.562022789861643
"73245614" "360037" 22.529 22.526 8.562022789861643
"73245615" "360037" 22.529 22.526 8.562022789861643
"73245616" "360037" 22.529 22.526 8.562022789861643
"73245617" "360037" 22.529 22.526 8.562022789861643
"73245618" "360037" 22.529 22.526 8.562022789861643
"73245619" "360037" 22.529 22.526 8.562022789861643
"73245620" "410053" 23.61 23.607 8.562022789861643
"73245621" "410053" 23.61 23.607 8.562022789861643
"73245622" "410053" 23.61 23.607 8.562022789861643
"73245623" "410053" 23.61 23.607 8.562022789861643
"73245624" "410053" 23.61 23.607 8.562022789861643
"73245625" "410053" 23.61 23.607 8.562022789861643
"73245626" "410053" 23.61 23.607 8.562022789861643
"73245627" "410053" 23.61 23.607 8.562022789861643
"73245628" "410053" 23.61 23.607 8.562022789861643
"73245629" "410053" 23.61 23.607 8.562022789861643
"73245630" "410053" 23.61 23.607 8.562022789861643
"73245631" "410053" 23.61 23.607 8.562022789861643
"73245632" "410053" 23.61 23.607 8.562022789861643
"73245633" "410053" 23.61 23.607 8.562022789861643
"73245634" "410053" 23.61 23.607 8.562022789861643
"73245652" "410053" 23.61 23.607 8.562022789861643
"73245653" "410053" 23.61 23.607 8.562022789861643
"73245654" "410053" 23.61 23.607 8.562022789861643
"73245655" "410054" 11.64 11.639 8.562022789861643
"73245656" "360037" 22.529 22.526 8.562022789861643
"73245657" "360037" 22.529 22.526 8.562022789861643
"73245658" "360037" 22.529 22.526 8.562022789861643
"73245659" "360037" 22.529 22.526 8.562022789861643
"73245660" "360037" 22.529 22.526 8.562022789861643
"73245661" "360037" 22.529 22.526 8.562022789861643
"73245662" "360037" 22.529 22.526 8.562022789861643
"73245663" "360037" 22.529 22.526 8.562022789861643
"73245664" "360037" 22.529 22.526 8.562022789861643
"73245665" "360037" 22.529 22.526 8.562022789861643
"73245666" "360037" 22.529 22.526 8.562022789861643
"73245667" "360037" 22.529 22.526 8.562022789861643
"73245668" "400070" 19.879 19.876 8.35396564206839
"73245669" "400070" 19.879 19.876 8.35396564206839
"73245670" "400070" 19.879 19.876 8.35396564206839
"73245671" "400070" 19.879 19.876 8.35396564206839
"73245672" "400070" 19.879 19.876 8.35396564206839
"73245673" "400070" 19.879 19.876 8.35396564206839
"73245674" "400070" 19.879 19.876 8.35396564206839
"73245675" "400070" 19.879 19.876 8.35396564206839
"73245676" "400070" 19.879 19.876 8.35396564206839