GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T14:59:59Z,
for the dataset file:///shared/puget-sound.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Metro Transit
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2025-11-17
Feed End Date:
2026-03-27

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. fare_attributes.txt
  5. fare_rules.txt
  6. feed_info.txt
  7. modifications.txt
  8. routes.txt
  9. shapes.txt
  10. stop_times.txt
  11. stops.txt
  12. transfers.txt
  13. trips.txt

Counts

  • Agencies: 11
  • Blocks: 4594
  • Routes: 380
  • Shapes: 1175
  • Stops: 13185
  • Trips: 95906

Specification Compliance report

120236 notices reported (12260 errors, 107967 warnings, 9 infos)

Notice Code Severity Total
block_trips_with_overlapping_stop_times ERROR 12257

block_trips_with_overlapping_stop_times

Trips with the same block id have overlapping stop times.

You can see more about this notice here.

Only the first 50 of 12257 affected records are displayed below.

csvRowNumberA (?) The row number from `trips.txt` of the first faulty trip. tripIdA (?) The id of first faulty trip. serviceIdA (?) The service id of the first faulty trip. csvRowNumberB (?) The row number from `trips.txt` of the second faulty trip. tripIdB (?) The id of the other faulty trip. serviceIdB (?) The service id of the other faulty trip. blockId (?) The `trips.block_id` of the overlapping trip. intersection (?) The overlapping period.
83373 "2220151126250" "20251126" 84117 "229141126250" "20251126" "1" "20251126"
83415 "2220151128250" "20251128" 84181 "229141128250" "20251128" "1" "20251128"
83481 "2220151201250" "20251201" 84275 "229141201250" "20251201" "1" "20251201"
83504 "2220151202250" "20251202" 84304 "229141202250" "20251202" "1" "20251202"
83527 "2220151203250" "20251203" 84333 "229141203250" "20251203" "1" "20251203"
83550 "2220151204250" "20251204" 84362 "229141204250" "20251204" "1" "20251204"
83573 "2220151205250" "20251205" 84391 "229141205250" "20251205" "1" "20251205"
83639 "2220151208250" "20251208" 84485 "229141208250" "20251208" "1" "20251208"
83662 "2220151209250" "20251209" 84514 "229141209250" "20251209" "1" "20251209"
83685 "2220151210250" "20251210" 84543 "229141210250" "20251210" "1" "20251210"
83708 "2220151211250" "20251211" 84572 "229141211250" "20251211" "1" "20251211"
83731 "2220151212250" "20251212" 84601 "229141212250" "20251212" "1" "20251212"
83797 "2220151215250" "20251215" 84695 "229141215250" "20251215" "1" "20251215"
83820 "2220151216250" "20251216" 84724 "229141216250" "20251216" "1" "20251216"
83843 "2220151217250" "20251217" 84753 "229141217250" "20251217" "1" "20251217"
83866 "2220151218250" "20251218" 84782 "229141218250" "20251218" "1" "20251218"
83889 "2220151219250" "20251219" 84811 "229141219250" "20251219" "1" "20251219"
83955 "2220151222250" "20251222" 84905 "229141222250" "20251222" "1" "20251222"
83978 "2220151223250" "20251223" 84934 "229141223250" "20251223" "1" "20251223"
84001 "2220151224250" "20251224" 84963 "229141224250" "20251224" "1" "20251224"
84043 "2220151226250" "20251226" 85027 "229141226250" "20251226" "1" "20251226"
90972 "920131126250" "20251126" 81236 "2022151126251" "20251126" "1" "20251126"
90972 "920131126250" "20251126" 81930 "209131126251" "20251126" "1" "20251126"
91019 "920131128250" "20251128" 81276 "2022151128251" "20251128" "1" "20251128"
91019 "920131128250" "20251128" 81977 "209131128251" "20251128" "1" "20251128"
91090 "920131201250" "20251201" 81342 "2022151201251" "20251201" "1" "20251201"
91090 "920131201250" "20251201" 82047 "209131201251" "20251201" "1" "20251201"
91116 "920131202250" "20251202" 81362 "2022151202251" "20251202" "1" "20251202"
91116 "920131202250" "20251202" 82073 "209131202251" "20251202" "1" "20251202"
91142 "920131203250" "20251203" 81382 "2022151203251" "20251203" "1" "20251203"
91142 "920131203250" "20251203" 82099 "209131203251" "20251203" "1" "20251203"
91168 "920131204250" "20251204" 81402 "2022151204251" "20251204" "1" "20251204"
91168 "920131204250" "20251204" 82125 "209131204251" "20251204" "1" "20251204"
91194 "920131205250" "20251205" 81422 "2022151205251" "20251205" "1" "20251205"
91194 "920131205250" "20251205" 82151 "209131205251" "20251205" "1" "20251205"
91265 "920131208250" "20251208" 81488 "2022151208251" "20251208" "1" "20251208"
91265 "920131208250" "20251208" 82221 "209131208251" "20251208" "1" "20251208"
91291 "920131209250" "20251209" 81508 "2022151209251" "20251209" "1" "20251209"
91291 "920131209250" "20251209" 82247 "209131209251" "20251209" "1" "20251209"
91317 "920131210250" "20251210" 81528 "2022151210251" "20251210" "1" "20251210"
91317 "920131210250" "20251210" 82273 "209131210251" "20251210" "1" "20251210"
91343 "920131211250" "20251211" 81548 "2022151211251" "20251211" "1" "20251211"
91343 "920131211250" "20251211" 82299 "209131211251" "20251211" "1" "20251211"
91369 "920131212250" "20251212" 81568 "2022151212251" "20251212" "1" "20251212"
91369 "920131212250" "20251212" 82325 "209131212251" "20251212" "1" "20251212"
91440 "920131215250" "20251215" 81634 "2022151215251" "20251215" "1" "20251215"
91440 "920131215250" "20251215" 82395 "209131215251" "20251215" "1" "20251215"
91466 "920131216250" "20251216" 81654 "2022151216251" "20251216" "1" "20251216"
91466 "920131216250" "20251216" 82421 "209131216251" "20251216" "1" "20251216"
91492 "920131217250" "20251217" 81674 "2022151217251" "20251217" "1" "20251217"
missing_required_field ERROR 3

missing_required_field

A required field is missing.

The given field has no value in some input row, even though values are required.

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.
"fare_attributes.txt" 2 "agency_id"
"fare_attributes.txt" 3 "agency_id"
"fare_attributes.txt" 6 "agency_id"
duplicate_route_name WARNING 1

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
193 "377" 236 "TA028" "377" "BI Ferry Take Home" 3 "20"
expired_calendar WARNING 26

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1545"
15 "215"
22 "409"
23 "422"
24 "4850"
25 "5065"
26 "514"
37 "878"
44 "20-1"
46 "20-3"
47 "4"
48 "5"
50 "7"
68 "LLR_2025-10-27_Oct14_Link_Fall2025_FWLE_PR_v2_Saturday"
69 "LLR_2025-10-27_Oct14_Link_Fall2025_FWLE_PR_v2_Sunday"
75 "LLR_ShuttleDec2-4"
81 "20251125"
82 "20251126"
83 "20251127"
84 "20251128"
85 "20251129"
86 "20251130"
87 "20251201"
88 "20251202"
89 "20251203"
90 "20251204"
fast_travel_between_consecutive_stops WARNING 4

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
36913 "2456060" "608" 152.6368641837121 0.16959651575968013 1318705 6 "28" "California at Van Buren" "16:50:56" 1318706 7 "20-29" "California at Polk" "16:51:00"
35797 "20-2456020" "608" 152.6368641837121 0.16959651575968013 1293901 6 "28" "California at Van Buren" "16:50:56" 1293902 7 "20-29" "California at Polk" "16:51:00"
35848 "20-2690020" "623" 699.113356631464 0.5825944638595533 1295054 3 "20-390" "McWilliams Park & Ride (driveway)" "17:05:00" 1295055 4 "427" "McWilliams at Clover Blossom" "17:05:03"
37283 "2690060" "623" 699.113356631464 0.5825944638595533 1326989 3 "20-390" "McWilliams Park & Ride (driveway)" "17:05:00" 1326990 4 "427" "McWilliams at Clover Blossom" "17:05:03"
feed_expiration_date30_days WARNING 2

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).
3 "20251205" "20251213" "20260104"
5 "20251205" "20260103" "20260104"
feed_expiration_date7_days WARNING 1

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

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).
10 "20251205" "20251206" "20251212"
missing_bike_allowance WARNING 23011

missing_bike_allowance

Ferry trips should include bike allowance information.

All ferry trips should have a valid value in the bikes_allowed field in trips.txt.

You can see more about this notice here.

Only the first 50 of 23011 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
69831 "1013" "101390101260"
69832 "1013" "101390101261"
69833 "1013" "101390101262"
69834 "1013" "101390101263"
69835 "1013" "101390101264"
69836 "1013" "101390101265"
69837 "1013" "101390101266"
69838 "1013" "101390101267"
69839 "1013" "101390101268"
69840 "1013" "101390102260"
69841 "1013" "101390102261"
69842 "1013" "101390102262"
69843 "1013" "101390102263"
69844 "1013" "101390102264"
69845 "1013" "101390102265"
69846 "1013" "101390102266"
69847 "1013" "101390102267"
69848 "1013" "101390102268"
69849 "1013" "101390102269"
69850 "1013" "101390103260"
69851 "1013" "101390103261"
69852 "1013" "101390103262"
69853 "1013" "101390103263"
69854 "1013" "101390103264"
69855 "1013" "101390103265"
69856 "1013" "101390103266"
69857 "1013" "101390103267"
69858 "1013" "101390103268"
69859 "1013" "101390103269"
69860 "1013" "101390104260"
69861 "1013" "101390104261"
69862 "1013" "101390104262"
69863 "1013" "101390104263"
69864 "1013" "101390104264"
69865 "1013" "101390104265"
69866 "1013" "101390104266"
69867 "1013" "101390104267"
69868 "1013" "101390104268"
69869 "1013" "101390105260"
69870 "1013" "101390105261"
69871 "1013" "101390105262"
69872 "1013" "101390105263"
69873 "1013" "101390105264"
69874 "1013" "101390105265"
69875 "1013" "101390105266"
69876 "1013" "101390105267"
69877 "1013" "101390105268"
69878 "1013" "101390105269"
69879 "1013" "101390106260"
69880 "1013" "101390106261"
missing_feed_contact_email_and_url WARNING 4

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
5
8
11
missing_recommended_field WARNING 2

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" 8 "feed_start_date"
"feed_info.txt" 8 "feed_end_date"
missing_timepoint_value WARNING 84202

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 84202 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2050655 "101390101260" 1
2050656 "101390101260" 2
2050657 "101390101261" 1
2050658 "101390101261" 2
2050659 "101390101262" 1
2050660 "101390101262" 2
2050661 "101390101263" 1
2050662 "101390101263" 2
2050663 "101390101264" 1
2050664 "101390101264" 2
2050665 "101390101265" 1
2050666 "101390101265" 2
2050667 "101390101266" 1
2050668 "101390101266" 2
2050669 "101390101267" 1
2050670 "101390101267" 2
2050671 "101390101268" 1
2050672 "101390101268" 2
2050673 "101390102260" 1
2050674 "101390102260" 2
2050675 "101390102261" 1
2050676 "101390102261" 2
2050677 "101390102262" 1
2050678 "101390102262" 2
2050679 "101390102263" 1
2050680 "101390102263" 2
2050681 "101390102264" 1
2050682 "101390102264" 2
2050683 "101390102265" 1
2050684 "101390102265" 2
2050685 "101390102266" 1
2050686 "101390102266" 2
2050687 "101390102267" 1
2050688 "101390102267" 2
2050689 "101390102268" 1
2050690 "101390102268" 2
2050691 "101390102269" 1
2050692 "101390102269" 2
2050693 "101390103260" 1
2050694 "101390103260" 2
2050695 "101390103261" 1
2050696 "101390103261" 2
2050697 "101390103262" 1
2050698 "101390103262" 2
2050699 "101390103263" 1
2050700 "101390103263" 2
2050701 "101390103264" 1
2050702 "101390103264" 2
2050703 "101390103265" 1
2050704 "101390103265" 2
mixed_case_recommended_field WARNING 497

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 497 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" "SOUNDER STATION EB" 12688
"stops.txt" "stop_name" "8TH & RIVERSIDE RD - NB" 12689
"stops.txt" "stop_name" "COLBY AVE & 13TH ST - NB" 12690
"stops.txt" "stop_name" "SEAWAY TRANSIT CENTER - BAY 8 - SB" 12691
"stops.txt" "stop_name" "SEAWAY TRANSIT CENTER - BAY 9 - SB" 12692
"stops.txt" "stop_name" "6TH & RIVERSIDE RD - NB" 12693
"stops.txt" "stop_name" "COLBY AVE & 13TH ST - SB" 12694
"stops.txt" "stop_name" "HARDESON RD & MERRILL CREEK PKWY - SB" 12695
"stops.txt" "stop_name" "HARDESON RD & 67TH ST SW - SB" 12696
"stops.txt" "stop_name" "HARDESON RD & SHUKSAN WAY - SB" 12697
"stops.txt" "stop_name" "HARDESON RD & 72ND ST SW - SB" 12698
"stops.txt" "stop_name" "HARDESON RD & 75TH ST SW - SB" 12699
"stops.txt" "stop_name" "HARDESON RD & 75TH ST SW - NB" 12700
"stops.txt" "stop_name" "112TH ST SW & EVERGREEN WAY - EB" 12701
"stops.txt" "stop_name" "112TH ST SW & 8TH PL W - EB" 12702
"stops.txt" "stop_name" "112TH ST SW & 4TH AVE W - WB" 12703
"stops.txt" "stop_name" "112TH ST SW & 8TH PL W - WB" 12704
"stops.txt" "stop_name" "COLBY AVE & FAIRFAX AVE - NB" 12705
"stops.txt" "stop_name" "COLBY AVE & 17TH ST - NB" 12706
"stops.txt" "stop_name" "COLBY AVE & 17TH ST - SB" 12707
"stops.txt" "stop_name" "HWY 525 & 5TH ST - NB" 12708
"stops.txt" "stop_name" "HWY 525 & 5TH ST - SB" 12709
"stops.txt" "stop_name" "MERRILL CREEK PKWY & 13TH AVE W - EB" 12710
"stops.txt" "stop_name" "WALNUT ST & 19TH ST - SB" 12711
"stops.txt" "stop_name" "WALNUT ST & LEONARD DR - SB" 12712
"stops.txt" "stop_name" "WALNUT ST & 23RD ST - SB" 12713
"stops.txt" "stop_name" "TROJAN WAY & TOWER ST - NB" 12714
"stops.txt" "stop_name" "MAPLE ST & EVERETT AVE - SB" 12715
"stops.txt" "stop_name" "COLBY AVE & 26TH ST - NB" 12716
"stops.txt" "stop_name" "MAPLE ST & PACIFIC AVE - SB" 12717
"stops.txt" "stop_name" "MERRILL CREEK PKWY & GLENWOOD AVE - EB" 12718
"stops.txt" "stop_name" "PACIFIC AVE & CEDAR ST - WB" 12719
"stops.txt" "stop_name" "COLLEGE STATION - BAY B - SB" 12720
"stops.txt" "stop_name" "13TH ST & W MARINE VIEW DR - WB" 12721
"stops.txt" "stop_name" "W MARINE VIEW DR & 14TH ST - SB" 12722
"stops.txt" "stop_name" "W MARINE VIEW DR & 16TH ST - SB" 12723
"stops.txt" "stop_name" "W MARINE VIEW DR & 19TH ST - SB" 12724
"stops.txt" "stop_name" "GLENNWOOD AVE & KENWOOD DR - SB" 12725
"stops.txt" "stop_name" "W MARINE VIEW DR & 26TH ST - SB" 12726
"stops.txt" "stop_name" "W MARINE VIEW DR & CALIFORNIA ST - SB" 12727
"stops.txt" "stop_name" "PACIFIC AVE & NASSAU ST - EB" 12728
"stops.txt" "stop_name" "WALL ST & GRAND AVE - EB" 12729
"stops.txt" "stop_name" "WALL ST & COLBY AVE - EB" 12730
"stops.txt" "stop_name" "N BROADWAY & TOWER ST - NB" 12731
"stops.txt" "stop_name" "PACIFIC AVE & ROCKEFELLER AVE - EB" 12732
"stops.txt" "stop_name" "PACIFIC AVE & LOMBARD AVE - WB" 12733
"stops.txt" "stop_name" "PACIFIC AVE & ROCKEFELLER AVE - WB" 12734
"stops.txt" "stop_name" "WALL ST & HOYT AVE - WB" 12735
"stops.txt" "stop_name" "WALL ST & GRAND AVE - WB" 12736
"stops.txt" "stop_name" "MADISON ST & LOWER RIDGE RD - EB" 12737
more_than_one_entity WARNING 1

more_than_one_entity

More than one row in CSV.

The file is expected to have a single entity but has more (e.g., "feed_info.txt").

You can see more about this notice here.

filename (?) Name of the faulty file. entityCount (?) Number of occurrences.
"feed_info.txt" 10
route_short_name_too_long WARNING 5

route_short_name_too_long

Short name of a route is too long (more than 12 characters).

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`.
"102698" 111 "Duvall-Monroe Shuttle"
"102699" 112 "Valley Shuttle"
"100340" 237 "South Lake Union Streetcar"
"102638" 238 "First Hill Streetcar"
"1-SHUTTLE" 302 "1 Line Shuttle"
same_name_and_description_for_route WARNING 4

same_name_and_description_for_route

Same name and description for route.

The GTFS spec defines routes.txt route_desc as:

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

See the GTFS and GTFS Best Practices links below for more examples of how to populate the route_short_name, route_long_name, and route_desc fields.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. routeId (?) The id of the faulty record. routeDesc (?) The `routes.routes_desc` of the faulty record. specifiedField (?) Either `route_short_name` or `route_long_name`.
304 "100236" "Redmond - Seattle" "route_long_name"
305 "100239" "Bellevue - Seattle" "route_long_name"
306 "100240" "Issaquah - Seattle" "route_long_name"
309 "100511" "Redmond - University District" "route_long_name"
stop_too_far_from_shape WARNING 20

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. 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.

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.
63770 "99121:99913" "LLR_2025-12-06_Aug12-Combined_Fall2025v2_Weekday_100479_2006" 1950016 "99914" "Angle Lake" [47.423114999999996,-122.297729] 108.2384093697508
81903 "209" "209131125250" 2074799 "95-20" "Southworth" [47.51195,-122.49736300000002] 163.7530185776068
81903 "209" "209131125250" 2074800 "95-9" "Fauntleroy" [47.523213999999996,-122.39552600000002] 181.23427338471632
84088 "229" "229141125250" 2079169 "95-22" "Vashon Island" [47.510174,-122.463921] 194.08602602977447
84088 "229" "229141125250" 2079170 "95-9" "Fauntleroy" [47.523213999999996,-122.39552600000002] 181.23427338471632
63762 "99914:99240" "LLR_2025-12-06_Aug12-Combined_Fall2025v2_Weekday_100479_1130" 1949919 "99914" "Angle Lake" [47.423114999999996,-122.297729] 108.2384093697508
90946 "920" "920131125250" 2092885 "95-9" "Fauntleroy" [47.523213999999996,-122.39552600000002] 181.23427338471632
90946 "920" "920131125250" 2092886 "95-20" "Southworth" [47.51195,-122.49736300000002] 163.7530185776068
91763 "922" "922141125250" 2094519 "95-9" "Fauntleroy" [47.523213999999996,-122.39552600000002] 181.23427338471632
91763 "922" "922141125250" 2094520 "95-22" "Vashon Island" [47.510174,-122.463921] 194.08602602977447
64223 "990005:99913" "LLR_2025-12-06_Nov14_Link_20251206_FWLE_Opening_Saturday_100479_2002" 1957791 "99914" "Angle Lake" [47.423114999999996,-122.297729] 108.2384093697508
83350 "2220" "2220151125250" 2077693 "95-22" "Vashon Island" [47.510174,-122.463921] 194.08602602977447
83350 "2220" "2220151125250" 2077694 "95-20" "Southworth" [47.51195,-122.49736300000002] 163.7530185776068
81215 "2022" "2022151125250" 2073423 "95-20" "Southworth" [47.51195,-122.49736400000002] 163.6779241678246
81215 "2022" "2022151125250" 2073424 "95-22" "Vashon Island" [47.510174,-122.463921] 194.08602602977447
86653 "514" "51470101260" 2084299 "95-5" "Clinton" [47.975108,-122.349821] 175.7008341288627
86653 "514" "51470101260" 2084300 "95-14" "Mukilteo" [47.948785,-122.30402699999999] 560.9125608169305
75474 "145" "14570101260" 2061941 "95-14" "Mukilteo" [47.948785,-122.30402699999999] 560.9125608169305
75474 "145" "14570101260" 2061942 "95-5" "Clinton" [47.975108,-122.349821] 175.7008341288627
63640 "S01:N23" "LLR_2025-12-06_Aug12-Combined_Fall2025v2_Weekday_100479_1008" 1947144 "99914" "Angle Lake" [47.42311600000001,-122.29771300000002] 108.54609767107084
stop_too_far_from_shape_using_user_distance WARNING 85

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 85 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.
27261 "13212_shp-v33" "t25F-b1773-sl4-v33" 1004093 "19-435" "Lilly Rd at 12th Ave" [47.055780463903055,-122.84441049559497] 102.15926156838142
27261 "13212_shp-v33" "t25F-b1773-sl4-v33" 1004099 "19-441" "Martin Way at Pattison St" [47.046325261310045,-122.85837187685222] 110.47242686987587
27280 "13497_shp-v33" "t262-b1A95-slA-v33" 1004756 "19-696" "Carpenter Rd at Carpenter Lp" [47.0195910073454,-122.7833017616124] 145.2348992708639
27519 "13399_shp-v33" "t2C0-b183A-sl12-v33" 1013552 "19-539" "Steilacoom Rd at Marvin Rd" [47.04702999999999,-122.76313] 171.19414872551855
27216 "13215_shp-v33" "t229-b183A-sl4-v33" 1002398 "19-441" "Martin Way at Pattison St" [47.046351195178524,-122.85793748646395] 143.32154075616282
27143 "41914001" "80783272" 999476 "57127" "SE 240th St & 104th Ave SE" [47.3864386221668,-122.2042986100956] 237.38503217670055
27143 "41914001" "80783272" 999477 "57121" "SE 240th St & 108th Ave SE" [47.38696031019257,-122.20151261881905] 364.6084319541166
27143 "41914001" "80783272" 999478 "57122" "SE 240th St & 111th Pl SE" [47.386956302009,-122.19912105145463] 364.9533438807898
27143 "41914001" "80783272" 999479 "57123" "SE 240th St & 112th Ave SE" [47.386948000883066,-122.19632212678495] 365.01946973606226
27143 "41914001" "80783272" 999480 "57141" "SE 240th St & 116th Ave SE" [47.38693129680414,-122.19079391869303] 364.10993460294543
27143 "41914001" "80783272" 999481 "57413" "120th Ave SE & SE 240th Pl" [47.38691300257124,-122.18542962905944] 299.65702897613977
27143 "41914001" "80783272" 999482 "57411" "120th Ave SE & SE 246th Pl" [47.38417056628016,-122.18143500000004] 366.52662388518524
27143 "41914001" "80783272" 999483 "57408" "SE 248th St & 124th Ave SE" [47.379669000000824,-122.18134559512197] 365.59516960743673
27143 "41914001" "80783272" 999484 "57152" "132nd Ave SE & SE 248th St" [47.37966101496479,-122.16940157462378] 300.35147570053556
27143 "41914001" "80783272" 999485 "62187" "132nd Ave SE & SE 253rd Pl" [47.37802966272376,-122.16540520509326] 365.7853319276528
27143 "41914001" "80783272" 999486 "62177" "SE 256th St & 132nd Ave SE" [47.37512729288871,-122.16541300000004] 298.9712516658383
27143 "41914001" "80783272" 999487 "62178" "SE 256th St & 127th Ave SE" [47.372433706505376,-122.16688944994236] 365.2042338019568
27143 "41914001" "80783272" 999488 "62180" "SE 256th St & 124th Ave SE" [47.372433000176905,-122.17185485652176] 364.7236206724807
27143 "41914001" "80783272" 999489 "62184" "SE 256th St & 118th Pl SE" [47.37244313771669,-122.1780511986958] 365.1265674472963
27143 "41914001" "80783272" 999490 "62186" "SE 256th St & 116th Ave SE" [47.37243600013696,-122.18332344761251] 365.186279269077
27143 "41914001" "80783272" 999491 "62190" "SE 256th St & 113th Ave SE" [47.37244299989465,-122.1874444154095] 365.86243365039087
27143 "41914001" "80783272" 999492 "62194" "SE 256th St & 109th Ave SE" [47.372508027370124,-122.1924456000891] 365.637185984409
27143 "41914001" "80783272" 999493 "62196" "SE 256th St & Kent Kangley Rd" [47.37255742552361,-122.19553876764091] 365.16314258650647
27143 "41914001" "80783272" 999494 "57203" "104th Ave SE & SE 260th St" [47.36960183057675,-122.20233885234022] 366.48072813664373
27143 "41914001" "80783272" 999495 "57218" "Scenic Vista Rd & SE 264th St" [47.36737049747338,-122.2022716728254] 304.0205939834007
27143 "41914001" "80783272" 999496 "57181" "104th Ave SE & SE 264th St" [47.36587031461143,-122.20224808915124] 217.13628742872302
27143 "41914001" "80783272" 999497 "57204" "104th Ave SE & SE 267th St" [47.36526490420998,-122.20146699994393] 279.8262960200879
27143 "41914001" "80783272" 999498 "57205" "Woodland Way S & S 265th St" [47.36259167655975,-122.20681860916179] 285.49916536880795
27143 "41914001" "80783272" 999499 "57206" "Woodland Way S & S 262nd Pl" [47.36342509230778,-122.20951935384448] 366.2867990168507
27143 "41914001" "80783272" 999500 "57207" "Woodland Way S & S 262nd Pl" [47.36544320651335,-122.20950264815781] 367.6079539269273
27143 "41914001" "80783272" 999501 "57219" "Maple St & Woodland Way S" [47.369017591837604,-122.21003799141742] 367.9150382770553
27143 "41914001" "80783272" 999502 "57000" "C A Reiten Rd & Walnut St" [47.3715799750335,-122.21443503079924] 284.6770560596779
27143 "41914001" "80783272" 999503 "57010" "C A Reiten Rd & Hemlock St" [47.37157329342726,-122.21700898989124] 303.4461705321228
27143 "41914001" "80783272" 999504 "57020" "C A Reiten Rd & Laurel St" [47.37214835458184,-122.21808289244953] 366.7912971366251
27143 "41914001" "80783272" 999505 "57208" "C A Reiten Rd & E Seattle St" [47.374667273972605,-122.21807100000001] 367.11298852013937
27143 "41914001" "80783272" 999506 "57050" "Guiberson St & Glenwood Ln" [47.37808019557766,-122.2204862885807] 364.7320629737585
27143 "41914001" "80783272" 999507 "57060" "Kennebeck Ave N & E Gowe St" [47.378127948888796,-122.22634422044779] 325.400293413608
27143 "41914001" "80783272" 999508 "57183" "Kent Senior Center Acs & Kennebeck Ave N" [47.3803621183836,-122.228157] 299.5212654179193
27143 "41914001" "80783272" 999509 "62214" "E Gowe St & Central Ave S" [47.38193814380384,-122.22818000000001] 277.6234854532013
27143 "41914001" "80783272" 999510 "57209" "W Gowe St & 1st Ave S" [47.38101444756781,-122.22852965034744] 364.89693032165184
27143 "41914001" "80783272" 999511 "57151" "W Gowe St & 2nd Ave S" [47.38097400000562,-122.23108431627908] 364.3955985284806
27232 "13531_shp-v33" "t258-b183E-slA-v33" 1003147 "19-539" "Steilacoom Rd at Marvin Rd" [47.04695367351753,-122.76366454094017] 212.54904046769374
27498 "13335_shp-v33" "t2BC-b1839-sl12-v33" 1012943 "19-539" "Steilacoom Rd at Marvin Rd" [47.04695367351753,-122.76366454094017] 212.54904046769374
27301 "13528_shp-v33" "t267-b12C2-slA-v33" 1005394 "19-359" "Cooper Point Rd at Harrison Ave" [47.04758788896493,-122.94123045124958] 213.2583322568554
27217 "13523_shp-v33" "t229-b183A-slA-v33" 1002441 "19-441" "Martin Way at Pattison St" [47.046351195178524,-122.85793748646395] 143.32154075616282
27781 "13330_shp-v33" "t2E9-b12C2-sl12-v33" 1023481 "19-359" "Cooper Point Rd at Harrison Ave" [47.04758788896493,-122.94123045124958] 213.2583322568554
29290 "13591_shp-v33" "t453-b70-slA-v33" 1080941 "19-459" "Martin Way at Pattison St" [47.04621914811138,-122.86011996121289] 122.10438100027864
27178 "13544_shp-v33" "t216-b1839-slA-v33" 1001168 "19-441" "Martin Way at Pattison St" [47.04632865498841,-122.85831503457787] 114.76469471178945
27177 "13214_shp-v33" "t216-b1839-sl4-v33" 1001124 "19-441" "Martin Way at Pattison St" [47.04632865498841,-122.85831503457787] 114.76469471178945
27551 "13495_shp-v33" "t2C6-b1A92-sl11-v33" 1014763 "19-696" "Carpenter Rd at Carpenter Lp" [47.0195910073454,-122.7833017616124] 145.2348992708639
stop_without_stop_time WARNING 36

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
6 "1-1020" "Howell St & Yale Ave"
7513 "14" "Southworth at Banner"
7808 "20-279" "Southworth at Cambridge"
8239 "250" "Mile Hill & California"
12373 "25755" "Montlake Blvd NE & NE Pacific Pl - Bay 4"
12374 "29262" "E John St & Broadway E - Bay 2"
12375 "29270" "E John St & Broadway E - Bay 1"
12377 "40-1110" "Pine St & 5th Ave"
12378 "40-1120" "Pine St & 4th Ave"
12380 "40-1400" "Stadium District (N 1st St & Tacoma Ave)"
12381 "40-1401" "Stadium District (N 1st St & Tacoma Ave)"
12382 "40-1677" "Union Station (Pacific Ave & S 19th St)"
12383 "40-25240" "Montlake Blvd NE & NE Pacific Pl - Bay 3"
12390 "40-731" "Tacoma General (Division Ave & MLK Jr Way)"
12399 "9134" "U District Station - Bay 4"
12400 "9587" "U District Station - Bay 1"
12472 "E09-T1" "South Bellevue"
12515 "LS11060" "Broadway & E Denny Way"
12516 "LS1110" "Pine St & 5th Ave"
12518 "LS21833" "6th Ave S & S Royal Brougham Way"
12524 "LS3470" "Beacon Ave S & S Lander St"
12526 "LS3810" "Beacon Ave S & S Lander St"
12527 "LS450" "3rd Ave & Union St"
12528 "LS500" "3rd Ave & James St"
12529 "LS531" "3rd Ave & James St"
12530 "LS570" "3rd Ave & Union St"
12531 "LS590" "3rd Ave & Pine St"
12532 "LS620" "4th Ave S & S Jackson St"
12533 "LS666" "SODO Busway & S Lander St"
12534 "LS844" "5th Ave S & S Weller St"
12535 "LS8681" "Rainier Ave S & S Forest St - Bay 4"
12538 "LS99254" "SODO Busway & S Lander St"
12539 "LS99261" "S Lander St & SODO Busway"
12540 "LS99267" "SODO Busway & S Royal Brougham Way"
12622 "S_MU_T2" "Mukilteo Station"
12696 "57314" "HARDESON RD & 67TH ST SW - SB"
trip_distance_exceeds_shape_distance_below_threshold WARNING 11

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.

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.
"LLR_ShuttleDec2-4-Weekday-1-SHUTTLE-NGS-CHS-SB-2157-e86ea3e" "1-SHUTTLE-NGS-CHS-SB" 12003.29 12003.28 6.753718076242149
"LLR_ShuttleDec2-4-Weekday-1-SHUTTLE-NGS-CHS-SB-2212-0125aee" "1-SHUTTLE-NGS-CHS-SB" 12003.29 12003.28 6.753718076242149
"LLR_ShuttleDec2-4-Weekday-1-SHUTTLE-NGS-CHS-SB-2227-05325f9" "1-SHUTTLE-NGS-CHS-SB" 12003.29 12003.28 6.753718076242149
"LLR_ShuttleDec2-4-Weekday-1-SHUTTLE-NGS-CHS-SB-2242-eb58fb8" "1-SHUTTLE-NGS-CHS-SB" 12003.29 12003.28 6.753718076242149
"LLR_ShuttleDec2-4-Weekday-1-SHUTTLE-NGS-CHS-SB-2257-26ebdc5" "1-SHUTTLE-NGS-CHS-SB" 12003.29 12003.28 6.753718076242149
"LLR_ShuttleDec2-4-Weekday-1-SHUTTLE-NGS-CHS-SB-2312-f0988db" "1-SHUTTLE-NGS-CHS-SB" 12003.29 12003.28 6.753718076242149
"LLR_ShuttleDec2-4-Weekday-1-SHUTTLE-NGS-CHS-SB-2327-32c3df8" "1-SHUTTLE-NGS-CHS-SB" 12003.29 12003.28 6.753718076242149
"LLR_ShuttleDec2-4-Weekday-1-SHUTTLE-NGS-CHS-SB-2342-ddb6455" "1-SHUTTLE-NGS-CHS-SB" 12003.29 12003.28 6.753718076242149
"LLR_ShuttleDec2-4-Weekday-1-SHUTTLE-NGS-CHS-SB-2357-c0899a5" "1-SHUTTLE-NGS-CHS-SB" 12003.29 12003.28 6.753718076242149
"LLR_ShuttleDec2-4-Weekday-1-SHUTTLE-NGS-CHS-SB-2412-57ccb49" "1-SHUTTLE-NGS-CHS-SB" 12003.29 12003.28 6.753718076242149
"LLR_ShuttleDec2-4-Weekday-1-SHUTTLE-NGS-CHS-SB-2427-ff42050" "1-SHUTTLE-NGS-CHS-SB" 12003.29 12003.28 6.753718076242149
unused_shape WARNING 55

unused_shape

Shape is not used in GTFS file trips.txt.

All records defined by GTFS shapes.txt should be used in trips.txt.

You can see more about this notice here.

Only the first 50 of 55 affected records are displayed below.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"shp-960-51" 465328
"shp-961-01" 467000
"shp-961-51" 468532
"shp-970-51" 474188
"shp-971-51" 477727
"shp-980-51" 483220
"shp-981-01" 485947
"shp-981-51" 487363
"shp-982-01" 488783
"shp-982-51" 490679
"1-SHUTTLE-A-MT" 782816
"1-SHUTTLE-A-SO" 782980
"1-SHUTTLE-SODO-Capitol_Hill-NO" 784418
"1-SHUTTLE-SODO-Capitol_Hill-SO" 784586
"1-SHUTTLE-SODO-Westlake-NO" 784829
"1-SHUTTLE-SODO-Westlake-SO" 784922
"1-SHUTTLE-STDM_-_CHS-NO" 785079
"1-SHUTTLE-STDM_-_CHS-SO" 785230
"487ca112-A-NB" 785423
"487ca112-A-SB" 785890
"990005:99111" 786323
"990005:99260" 786661
"99101:99913" 787856
"99111:99913" 788405
"99121:99904" 788974
"99256:990006" 789873
"99260:990006" 790210
"99903:990006" 790575
"99903:99240" 791442
"99903:99256" 791884
"99913:99111" 792449
"99914:990006" 793016
"99914:99260" 794397
"E09:E19" 796629
"E09:E27" 796702
"E21:E27" 797274
"E21:E31" 797366
"E27:E09" 797600
"N03:N07" 798132
"N03:S01" 798239
"N07:N03" 799208
"N07:N23" 799313
"N17:N23" 799624
"N19:N23" 799735
"N23:C15" 799810
"N23:N03" 800336
"N23:N05" 800741
"N23:N07" 801104
"N23:N11" 801407
"N23:N15" 801641
unknown_column INFO 8

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"feed_info.txt" "feed_id" 1
"trips.txt" "drt_advance_book_min" 10
"trips.txt" "fare_id" 12
"trips.txt" "peak_offpeak" 13
"trips.txt" "boarding_type" 14
"stop_times.txt" "departure_buffer" 11
"fare_attributes.txt" "youth_price" 8
"fare_attributes.txt" "senior_price" 9
unknown_file INFO 1

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"modifications.txt"