GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T22:48:51Z,
for the dataset file:///shared/longbeachtransit.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Long Beach Transit
Publisher URL:
http://www.ridelbt.com
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2026-02-01
Feed End Date:
2026-06-13

Files included

  1. agency.txt
  2. calendar_dates.txt
  3. fare_attributes.txt
  4. fare_leg_rules.txt
  5. fare_media.txt
  6. fare_products.txt
  7. fare_rules.txt
  8. feed_info.txt
  9. networks.txt
  10. rider_categories.txt
  11. route_networks.txt
  12. routes.txt
  13. shapes.txt
  14. stop_times.txt
  15. stops.txt
  16. trips.txt

Counts

  • Agencies: 1
  • Blocks: 1353
  • Routes: 35
  • Shapes: 128
  • Stops: 1876
  • Trips: 15457

Specification Compliance report

26482 notices reported (484 errors, 25984 warnings, 14 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 65

equal_shape_distance_diff_coordinates

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 the 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 different coordinates indicate an error.

You can see more about this notice here.

Only the first 50 of 65 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.
"1720120" 61795 5.974 250002 61794 5.974 250001 1.286397776805932
"1410026" 55891 10.014 320026 55890 10.014 320025 1.4304672973253238
"370052" 10233 1.931 120012 10232 1.931 120011 1.2069099250464517
"1410027" 56132 3.536 110034 56131 3.536 110033 1.4304672973253238
"1410024" 54084 0.064 20009 54083 0.064 20008 1.1561920614910879
"1410025" 55238 10.014 320026 55237 10.014 320025 1.4304672973253238
"220102" 7911 1.657 110011 7910 1.657 110010 1.2231461128373777
"220101" 7329 8.839 390006 7328 8.839 390005 1.2231461121300535
"220101" 7337 8.947 390014 7336 8.947 390013 1.4484851707680515
"220104" 9617 5.514 270006 9616 5.514 270005 1.2231461121300535
"220104" 9785 7.562 370004 9784 7.562 370003 1.362836506194786
"220103" 8784 1.657 110011 8783 1.657 110010 1.2231461128373777
"1040032" 39503 7.598 230017 39502 7.598 230016 1.246627969433278
"1040032" 39523 7.794 240012 39522 7.794 240011 1.4949786822034692
"460086" 15824 2.206 180002 15823 2.206 180001 1.3863028292150286
"1750022" 68632 4.57 180008 68631 4.57 180007 1.2937727384965396
"1030068" 38914 7.689 340023 38913 7.689 340022 1.1157828368500167
"1030067" 38395 7.709 320010 38394 7.709 320009 1.2231461128373777
"80012" 2961 2.062 70013 2960 2.062 70012 1.2212929874552647
"1720119" 61260 13.338 660006 61259 13.338 660005 1.2926255842359964
"1910351" 71940 2.39 110002 71939 2.39 110001 1.223146113544702
"1910351" 72103 4.543 240008 72102 4.543 240007 1.111951011220228
"1910352" 72708 2.39 110002 72707 2.39 110001 1.223146113544702
"1910352" 72871 4.543 240008 72870 4.543 240007 1.111951011220228
"1910350" 70952 2.39 110002 70951 2.39 110001 1.223146113544702
"1910350" 71115 4.543 240008 71114 4.543 240007 1.111951011220228
"1210162" 44745 0.388 30008 44744 0.388 30007 1.2941143466727163
"1210163" 45513 0.388 30008 45512 0.388 30007 1.2941143466727163
"1210163" 46032 6.927 360020 46031 6.927 360019 1.2865820335831037
"1210163" 46035 6.929 360023 46034 6.929 360022 1.1272211785972
"20018" 1475 5.278 190002 1474 5.278 190001 1.226629562000882
"1710193" 58398 4.57 180008 58397 4.57 180007 1.2937727384965396
"1710193" 58605 7.568 280003 58604 7.568 280002 1.111951011220228
"1740041" 66648 1.69 60017 66647 1.69 60016 1.293772902361833
"1210169" 50882 5.808 210020 50881 5.808 210019 1.2865820335831037
"1210169" 50885 5.81 210023 50884 5.81 210022 1.1272211785972
"1210167" 49095 5.808 210020 49094 5.808 210019 1.2865820335831037
"1210167" 49098 5.81 210023 49097 5.81 210022 1.1272211785972
"1210168" 50058 5.805 290011 50057 5.805 290010 1.2778326982454928
"1210168" 50078 5.893 300002 50077 5.893 300001 1.218086749168033
"1920201" 78145 2.39 110002 78144 2.39 110001 1.223146113544702
"1920201" 78308 4.543 240008 78307 4.543 240007 1.111951011220228
"1920201" 78796 12.441 640002 78795 12.441 640001 1.2927084701421134
"510086" 17191 0.064 20008 17190 0.064 20007 1.1561920614910879
"1920203" 79928 2.39 110002 79927 2.39 110001 1.223146113544702
"1920203" 80091 4.543 240008 80090 4.543 240007 1.111951011220228
"610135" 19409 0.064 20008 19408 0.064 20007 1.1561920614910879
"910213" 27956 13.898 600003 27955 13.898 600002 1.2231461128373777
"910215" 29710 13.898 600003 29709 13.898 600002 1.2231461128373777
"210113" 3323 1.657 110011 3322 1.657 110010 1.2231461128373777
trip_distance_exceeds_shape_distance ERROR 419

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 419 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.
"10522153" "1120055" 12.635 12.607 15.123661309378894
"10522155" "1110105" 13.635 13.607 15.123661309378894
"10522156" "1120055" 12.635 12.607 15.123661309378894
"10522159" "1110105" 13.635 13.607 15.123661309378894
"10522161" "1120055" 12.635 12.607 15.123661309378894
"10522164" "1110105" 13.635 13.607 15.123661309378894
"10522166" "1120055" 12.635 12.607 15.123661309378894
"10522169" "1110105" 13.635 13.607 15.123661309378894
"10522171" "1120055" 12.635 12.607 15.123661309378894
"10522174" "1110105" 13.635 13.607 15.123661309378894
"10522176" "1120055" 12.635 12.607 15.123661309378894
"10522179" "1110105" 13.635 13.607 15.123661309378894
"10522181" "1120055" 12.635 12.607 15.123661309378894
"10522184" "1110105" 13.635 13.607 15.123661309378894
"10522186" "1120055" 12.635 12.607 15.123661309378894
"10522189" "1110105" 13.635 13.607 15.123661309378894
"10522191" "1120055" 12.635 12.607 15.123661309378894
"10522194" "1110105" 13.635 13.607 15.123661309378894
"10522196" "1120055" 12.635 12.607 15.123661309378894
"10522199" "1110105" 13.635 13.607 15.123661309378894
"10522201" "1120055" 12.635 12.607 15.123661309378894
"10522204" "1110105" 13.635 13.607 15.123661309378894
"10522206" "1120055" 12.635 12.607 15.123661309378894
"10522209" "1110105" 13.635 13.607 15.123661309378894
"10522211" "1120055" 12.635 12.607 15.123661309378894
"10522214" "1110105" 13.635 13.607 15.123661309378894
"10522216" "1120055" 12.635 12.607 15.123661309378894
"10522219" "1110105" 13.635 13.607 15.123661309378894
"10522221" "1120055" 12.635 12.607 15.123661309378894
"10522460" "210117" 12.661 12.646 12.740223674120564
"10522468" "210117" 12.661 12.646 12.740223674120564
"10522470" "210117" 12.661 12.646 12.740223674120564
"10522472" "210117" 12.661 12.646 12.740223674120564
"10522474" "210117" 12.661 12.646 12.740223674120564
"10522476" "210117" 12.661 12.646 12.740223674120564
"10522478" "210117" 12.661 12.646 12.740223674120564
"10522480" "210117" 12.661 12.646 12.740223674120564
"10522482" "210117" 12.661 12.646 12.740223674120564
"10522484" "210117" 12.661 12.646 12.740223674120564
"10522486" "210117" 12.661 12.646 12.740223674120564
"10522488" "210117" 12.661 12.646 12.740223674120564
"10522490" "210117" 12.661 12.646 12.740223674120564
"10522498" "210117" 12.661 12.646 12.740223674120564
"10522598" "1110105" 13.635 13.607 15.123661309378894
"10522599" "1110105" 13.635 13.607 15.123661309378894
"10522600" "1110105" 13.635 13.607 15.123661309378894
"10523189" "410027" 9.327 9.323 11.341900319680525
"10523190" "410027" 9.327 9.323 11.341900319680525
"10523191" "410027" 9.327 9.323 11.341900319680525
"10523214" "410027" 9.327 9.323 11.341900319680525
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 339

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 339 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.
"1720120" 61763 5.213 210002 61762 5.213 210001 0.3335853034368008
"1720120" 61823 6.202 260007 61822 6.202 260006 1.0225326132626045
"1720120" 62191 10.388 440002 62190 10.388 440001 0.092412355901258
"1720122" 63052 0.266 10019 63051 0.266 10018 0.22239020252697528
"1720122" 63545 6.384 330008 63544 6.384 330007 1.0405070790938804
"1720122" 63611 7.228 380018 63610 7.228 380017 1.0225326132626045
"1720121" 62405 0.145 20002 62404 0.145 20001 0.3335853034368008
"1720121" 62412 0.408 30002 62411 0.408 30001 0.5559755052564519
"1720121" 62833 5.319 250002 62832 5.319 250001 0.092412355901258
"1720121" 62911 6.274 290002 62910 6.274 290001 0.27723703532390714
"1110105" 42594 6.626 320010 42593 6.626 320009 0.47517640803768435
"1110105" 42620 6.979 330014 42619 6.979 330013 1.0223894913938052
"1110105" 42664 7.464 350019 42663 7.464 350018 0.8626436160219291
"1110105" 42737 8.23 370002 42736 8.23 370001 1.0007559103104025
"1110105" 42813 9.292 390018 42812 9.292 390017 0.7999935972452312
"1410028" 56285 1.988 60020 56284 1.988 60019 0.7838223858560482
"1410028" 56487 5.309 170002 56486 5.309 170001 0.2769617545629089
"1410026" 55357 1.988 60020 55356 1.988 60019 0.7838223858560482
"1410026" 55559 5.309 170002 55558 5.309 170001 0.2769617545629089
"1410026" 55875 9.957 320010 55874 9.957 320009 0.7103884449604844
"1110100" 41678 6.626 320010 41677 6.626 320009 0.47517640803768435
"1110100" 41704 6.979 330014 41703 6.979 330013 1.0223894913938052
"1110100" 41748 7.464 350019 41747 7.464 350018 0.8626436160219291
"1110100" 41821 8.23 370002 41820 8.23 370001 1.0007559103104025
"1110100" 41897 9.292 390018 41896 9.292 390017 0.7999935972452312
"1110100" 41926 9.687 410002 41925 9.687 410001 1.0384173840579747
"1410027" 56150 3.601 120010 56149 3.601 120009 0.7103884449604844
"1410027" 56167 3.658 120027 56166 3.658 120026 0.215537167797064
"1410024" 54550 7.857 270026 54549 7.857 270025 0.6671706068736016
"370054" 10746 2.957 90013 10745 2.957 90012 0.9508172068436949
"1410025" 54704 1.988 60020 54703 1.988 60019 0.7838223858560482
"1410025" 54906 5.309 170002 54905 5.309 170001 0.2769617545629089
"1410025" 55222 9.957 320010 55221 9.957 320009 0.7103884449604844
"220102" 7823 0.582 40023 7822 0.582 40022 0.8393398663763381
"220101" 6875 0.342 20002 6874 0.342 20001 0.553648796212968
"220101" 7063 4.26 170002 7062 4.26 170001 1.0007559103104025
"220101" 7253 7.623 340002 7252 7.623 340001 0.7783657084907514
"220104" 9351 0.935 50002 9350 0.935 50001 1.0007559103104025
"220104" 9541 4.298 220002 9540 4.298 220001 0.7783657084907514
"220104" 9768 7.338 360002 9767 7.338 360001 0.44478040434662636
"220104" 9836 8.465 420002 9835 8.465 420001 0.6671706068736016
"220103" 8696 0.582 40023 8695 0.582 40022 0.8393398663763381
"1910333" 70432 1.684 50022 70431 1.684 50021 0.7388213836685834
"1910333" 70447 1.771 50037 70446 1.771 50036 0.5125250381097768
"1910333" 70500 2.778 70022 70499 2.778 70021 0.8311569648094601
"1910333" 70513 2.894 90002 70512 2.894 90001 0.5541039630007598
"1120056" 43813 0.595 30024 43812 0.595 30023 0.5559755066711003
"1040033" 39878 1.392 60002 39877 1.392 60001 0.5543804274878222
"1040033" 40151 5.059 190002 40150 5.059 190001 1.0007559103104025
"1040033" 40218 6.328 210003 40217 6.328 210002 0.597273955243986
equal_shape_distance_same_coordinates WARNING 5397

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 5397 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`.
"1720120" 61527 0.112 20001 61526 0.112 10008
"1720120" 61556 0.64 30001 61555 0.64 20029
"1720120" 61591 1.352 40001 61590 1.352 30035
"1720120" 61614 1.819 50001 61613 1.819 40023
"1720120" 61621 1.98 60001 61620 1.98 50007
"1720120" 61629 2.164 70001 61628 2.164 60008
"1720120" 61635 2.254 80001 61634 2.254 70006
"1720120" 61647 2.441 90001 61646 2.441 80012
"1720120" 61662 2.599 100001 61661 2.599 90015
"1720120" 61671 2.858 110001 61670 2.858 100009
"1720120" 61677 3.11 120001 61676 3.11 110006
"1720120" 61683 3.359 130001 61682 3.359 120006
"1720120" 61693 3.625 140001 61692 3.625 130010
"1720120" 61704 3.943 150001 61703 3.943 140011
"1720120" 61709 4.076 160001 61708 4.076 150005
"1720120" 61717 4.251 170001 61716 4.251 160008
"1720120" 61730 4.557 180001 61729 4.557 170013
"1720120" 61739 4.794 190001 61738 4.794 180009
"1720120" 61750 5.069 200001 61749 5.069 190011
"1720120" 61762 5.213 210001 61761 5.213 200012
"1720120" 61769 5.476 220001 61768 5.476 210007
"1720120" 61774 5.582 230001 61773 5.582 220005
"1720120" 61786 5.818 240001 61785 5.818 230012
"1720120" 61794 5.974 250001 61793 5.974 240008
"1720120" 61817 6.164 260001 61816 6.164 250023
"1720120" 61843 6.446 270001 61842 6.446 260026
"1720120" 61854 6.639 280001 61853 6.639 270011
"1720120" 61870 6.898 290001 61869 6.898 280016
"1720120" 61897 7.172 300001 61896 7.172 290027
"1720120" 61905 7.295 310001 61904 7.295 300008
"1720120" 61910 7.4 320001 61909 7.4 310005
"1720120" 61935 7.689 330001 61934 7.689 320025
"1720120" 61945 7.995 340001 61944 7.995 330010
"1720120" 61954 8.116 350001 61953 8.116 340009
"1720120" 61973 8.27 360001 61972 8.27 350019
"1720120" 61991 8.421 370001 61990 8.421 360018
"1720120" 62062 8.889 380001 62061 8.889 370071
"1720120" 62091 9.236 390001 62090 9.236 380029
"1720120" 62107 9.394 400001 62106 9.394 390016
"1720120" 62128 9.646 410001 62127 9.646 400021
"1720120" 62151 9.892 420001 62150 9.892 410023
"1720120" 62168 10.112 430001 62167 10.112 420017
"1720120" 62190 10.388 440001 62189 10.388 430022
"1720120" 62204 10.574 450001 62203 10.574 440014
"1720120" 62231 10.891 460001 62230 10.891 450027
"1720120" 62253 11.149 470001 62252 11.149 460022
"1720120" 62268 11.342 480001 62267 11.342 470015
"1720120" 62291 11.65 490001 62290 11.65 480023
"1720120" 62298 11.827 500001 62297 11.827 490007
"1720120" 62304 11.951 510001 62303 11.951 500006
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"
mixed_case_recommended_field WARNING 15145

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 15145 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.
"trips.txt" "trip_headsign" "61 ATLANTIC TO ARTESIA STATION" 2
"trips.txt" "trip_headsign" "61 ATLANTIC TO ARTESIA STATION" 3
"trips.txt" "trip_headsign" "61 ATLANTIC TO ARTESIA STATION" 4
"trips.txt" "trip_headsign" "61 ATLANTIC TO ARTESIA STATION" 5
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 6
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 7
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 8
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 9
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 10
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 11
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 12
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 13
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 14
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 15
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 16
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 17
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 18
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 19
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 20
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 21
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 22
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 23
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 24
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 25
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 26
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 27
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 28
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 29
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 30
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 31
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 32
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 33
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 34
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 35
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 36
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 37
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 38
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 39
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 40
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 41
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 42
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 43
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 44
"trips.txt" "trip_headsign" "61 ATLANTIC TO ARTESIA STATION" 45
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 46
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 47
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 48
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 49
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 50
"trips.txt" "trip_headsign" "61 ATLANTIC TO DOWNTOWN" 51
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`.
"37" 24 "Passport" "Passport"
stop_too_far_from_shape_using_user_distance WARNING 215

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 215 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.
827 "370054" "10522668" 45831 "1840" "Maya Hotel (NB Direction)" [33.755549,-118.197863] 106.46025254207503
610 "220102" "10522409" 34331 "2223" "Downey & Alondra SE" [33.88968371428572,-118.1513215714262] 174.31387226151872
4754 "220104" "10527733" 228784 "0325" "Candlewood & Obispo NW" [33.853886120435554,-118.1566578461215] 154.54946631195517
4754 "220104" "10527733" 228794 "0335" "Carson & R/R Tracks NE" [33.832480000328545,-118.16500554545456] 128.82096992514082
4754 "220104" "10527733" 228815 "0272" "Cherry & 4th SW" [33.77002495000001,-118.16765710000168] 153.7906530725377
4754 "220104" "10527733" 228816 "0273" "Cherry & 3rd SW" [33.76765532000369,-118.16782232006132] 124.12312379274192
4754 "220104" "10527733" 228817 "0274" "Cherry & Broadway SW" [33.76590900000269,-118.16815618186102] 126.43698316280783
4754 "220104" "10527733" 228818 "0275" "Ocean & Cherry NW" [33.76470484627899,-118.17011703841455] 126.64505837928537
4754 "220104" "10527733" 228819 "0276" "Ocean & Gaviota NW" [33.765168307884544,-118.17358184607764] 125.44070762576824
4754 "220104" "10527733" 228820 "0277" "Ocean & Esperanza NW" [33.765644000169594,-118.17718766659588] 126.1346744517914
4754 "220104" "10527733" 228821 "0278" "Ocean & Orange NW" [33.765909000053895,-118.17895374997897] 125.43234988833514
4754 "220104" "10527733" 228822 "0279" "Ocean & Cerritos NW" [33.7661537777865,-118.18080144444019] 125.83465641301343
4754 "220104" "10527733" 228823 "0280" "Ocean & Bonito NW" [33.766413,-118.18263500000002] 126.04101274843569
4754 "220104" "10527733" 228824 "0282" "Ocean & Atlantic NW" [33.766632,-118.18666899999998] 126.06526125820066
4754 "220104" "10527733" 228825 "0284" "Ocean & Elm NW" [33.766954000074584,-118.18959099998732] 125.35746327834295
4754 "220104" "10527733" 228826 "2423" "Ocean & Long Beach NW" [33.76704323534138,-118.19130888234814] 124.97393976866863
4754 "220104" "10527733" 228827 "2424" "Ocean & Pine NE" [33.767157,-118.193485] 127.19387898828516
312 "1120056" "10522099" 17093 "1448" "Clark & Spring SW" [33.8113902105264,-118.13398468421666] 138.6326988324905
156 "1040033" "10521943" 7587 "1871" "Spring & Lakewood SE" [33.810807,-118.13583300000002] 330.97933554553407
156 "1040033" "10521943" 7588 "1872" "Spring & Airport Plaza Dr SE" [33.810495651718036,-118.13325106975454] 317.3809409752902
156 "1040033" "10521943" 7589 "1873" "Spring & Clark SE" [33.81048836377307,-118.12995836363426] 342.9031470862927
156 "1040033" "10521943" 7590 "1875" "Spring & Bellflower SE" [33.81045957202769,-118.12133428571835] 343.22835759438254
156 "1040033" "10521943" 7591 "1877" "Spring & Los Coyotes SE" [33.81043270663562,-118.11325505879395] 343.0403707263399
156 "1040033" "10521943" 7592 "1878" "Spring & Woodruff SE" [33.810417200021625,-118.11024159999967] 344.6525555675986
156 "1040033" "10521943" 7593 "1879" "Spring & Snowden SE" [33.81041810528481,-118.10757026315751] 299.00645225968077
156 "1040033" "10521943" 7594 "1880" "Spring & Palo Verde SE" [33.810406500629576,-118.1038335999894] 343.6397948416217
156 "1040033" "10521943" 7595 "1881" "Spring & Nipomo SE" [33.810381608458336,-118.09788980388896] 342.61283720126653
156 "1040033" "10521943" 7596 "8512" "Spring & Studebaker SE" [33.81036646233212,-118.09517701921017] 343.59741661333015
156 "1040033" "10521943" 7598 "8517" "Spring & Claremore SE" [33.81034800029233,-118.0742396666489] 342.6001217549183
156 "1040033" "10521943" 7599 "8515" "Los Alamitos & Cerritos NE" [33.81371545161291,-118.07183338709862] 344.0991992786337
156 "1040033" "10521943" 7600 "1886" "Norwalk & Wardlow NE" [33.82106188,-118.07179100000002] 317.8214082021843
156 "1040033" "10521943" 7601 "1887" "Norwalk & Torin NE" [33.824179800000024,-118.0717666999979] 343.4965968443814
156 "1040033" "10521943" 7602 "1888" "Norwalk & 226th SE" [33.82688546000003,-118.071833639997] 344.4520697432909
156 "1040033" "10521943" 7603 "1890" "Norwalk & 221st SE" [33.829563800007506,-118.0729918000005] 266.22422529637765
156 "1040033" "10521943" 7604 "1804" "Civic Center & Ibex NE" [33.830211620000036,-118.07556775997477] 277.2440214609254
156 "1040033" "10521943" 7605 "1806" "Civic Center & Joliet NE" [33.83141104015467,-118.07506208000721] 203.4628125399413
104 "1040032" "10521891" 5357 "8518" "Spring & El Dorado Park NW" [33.81048979773771,-118.08916469319043] 307.93258746095717
104 "1040032" "10521891" 5370 "4064" "Lakewood & Spring SW" [33.808950153852734,-118.14106776925753] 381.99865309925644
104 "1040032" "10521891" 5371 "1351" "Willow & Lakewood NW" [33.80403566668215,-118.14752188887356] 417.4832605111384
104 "1040032" "10521891" 5372 "1353" "Willow & Grand NW" [33.804507133453164,-118.1525164000007] 421.9008583733103
104 "1040032" "10521891" 5373 "1388" "Willow & Adult School" [33.80450550004364,-118.15455300000063] 424.30989181762726
104 "1040032" "10521891" 5374 "1853" "Willow & Palm NW" [33.80449242874125,-118.16005285714483] 424.0571010368952
104 "1040032" "10521891" 5375 "1854" "Willow & Temple NW" [33.80448313178465,-118.16425310526405] 424.37621550197866
104 "1040032" "10521891" 5376 "1855" "Willow & Junipero NW" [33.80447600035358,-118.16827333333823] 425.1410520652672
104 "1040032" "10521891" 5377 "1856" "Willow & Cherry NW" [33.80440402093835,-118.1726444489869] 423.4495865159232
104 "1040032" "10521891" 5378 "1857" "Willow & Walnut NW" [33.80439600002332,-118.17701900000002] 423.3364441058215
104 "1040032" "10521891" 5379 "1858" "Willow & Orange NW" [33.804392764767776,-118.18155170588297] 425.0901046597276
104 "1040032" "10521891" 5380 "1859" "Willow & California NW" [33.804505947406604,-118.18607263157546] 430.4897960505625
104 "1040032" "10521891" 5381 "1303" "Willow & Atlantic NW" [33.8044350000221,-118.19019600000001] 438.36152939665993
104 "1040032" "10521891" 5382 "1304" "Willow & Long Beach Blvd NW" [33.804449000000005,-118.19456700000005] 436.7044731902442
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.
"20260123" "20260202" "20260612"
trip_distance_exceeds_shape_distance_below_threshold WARNING 4884

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 4884 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.
"10521891" "1040032" 12.006 11.734 4.342740209509751
"10521892" "1010093" 10.703 10.646 4.342740209509751
"10521893" "1040032" 12.006 11.734 4.342740209509751
"10521894" "1010093" 10.703 10.646 4.342740209509751
"10521895" "1040032" 12.006 11.734 4.342740209509751
"10521896" "1010093" 10.703 10.646 4.342740209509751
"10521897" "1040032" 12.006 11.734 4.342740209509751
"10521898" "1010093" 10.703 10.646 4.342740209509751
"10521899" "1040032" 12.006 11.734 4.342740209509751
"10521900" "1010093" 10.703 10.646 4.342740209509751
"10521901" "1040032" 12.006 11.734 4.342740209509751
"10521902" "1010093" 10.703 10.646 4.342740209509751
"10521903" "1040032" 12.006 11.734 4.342740209509751
"10521904" "1010093" 10.703 10.646 4.342740209509751
"10521905" "1040032" 12.006 11.734 4.342740209509751
"10521906" "1010093" 10.703 10.646 4.342740209509751
"10521907" "1040032" 12.006 11.734 4.342740209509751
"10521908" "1010093" 10.703 10.646 4.342740209509751
"10521909" "1040032" 12.006 11.734 4.342740209509751
"10521910" "1010093" 10.703 10.646 4.342740209509751
"10521911" "1040032" 12.006 11.734 4.342740209509751
"10521912" "1010093" 10.703 10.646 4.342740209509751
"10521913" "1040032" 12.006 11.734 4.342740209509751
"10521914" "1010093" 10.703 10.646 4.342740209509751
"10521915" "1040032" 12.006 11.734 4.342740209509751
"10521916" "1010093" 10.703 10.646 4.342740209509751
"10521943" "1040033" 12.221 12.008 8.22895590275265
"10521944" "1030067" 9.53 9.519 7.110656760537998
"10521946" "1040033" 12.221 12.008 8.22895590275265
"10521947" "1030067" 9.53 9.519 7.110656760537998
"10521949" "1040033" 12.221 12.008 8.22895590275265
"10521950" "1030067" 9.53 9.519 7.110656760537998
"10521952" "1040033" 12.221 12.008 8.22895590275265
"10521953" "1030067" 9.53 9.519 7.110656760537998
"10521955" "1040033" 12.221 12.008 8.22895590275265
"10521956" "1030067" 9.53 9.519 7.110656760537998
"10521958" "1040033" 12.221 12.008 8.22895590275265
"10521959" "1030067" 9.53 9.519 7.110656760537998
"10521961" "1040033" 12.221 12.008 8.22895590275265
"10521962" "1030067" 9.53 9.519 7.110656760537998
"10521964" "1040033" 12.221 12.008 8.22895590275265
"10521965" "1030067" 9.53 9.519 7.110656760537998
"10521967" "1040033" 12.221 12.008 8.22895590275265
"10521968" "1030067" 9.53 9.519 7.110656760537998
"10521970" "1040033" 12.221 12.008 8.22895590275265
"10521971" "1030067" 9.53 9.519 7.110656760537998
"10521973" "1040033" 12.221 12.008 8.22895590275265
"10521974" "1030067" 9.53 9.519 7.110656760537998
"10521976" "1040033" 12.221 12.008 8.22895590275265
"10521977" "1030067" 9.53 9.519 7.110656760537998
platform_without_parent_station INFO 14

platform_without_parent_station

A platform has no parent_station field set.

This is different from location_without_parent_station since it is less severe.

You can see more about this notice here.

csvRowNumber (?) Row number of the faulty record. stopId (?) The id of the faulty record. stopName (?) The stop name of the faulty record.
526 "0661" "Alamitos Bay Landing W"
1098 "1496" "Avalon & South Bay Pavilion SW"
1099 "1497" "Avalon and South Bay Pavilion SE"
1678 "3018" "Alamitos Bay Landing SW"
1833 "4113" "Norwalk Station Bay 11"
1846 "4126" "Wardlow Station Bay 3"
1847 "4127" "Wardlow Station Bay 1"
1848 "4128" "Wardlow Station Bay 2"
1849 "4129" "Del Amo Station Bay 2"
1850 "4130" "Del Amo Station Bay 3"
1851 "4131" "Del Amo Station Bay 4"
1852 "4132" "Del Amo Station Bay 5"
1855 "4135" "Artesia Station Bay 3"
1856 "4136" "Artesia Station Bay 2"