nantucket-regional-transit-authority — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-07-10T15:33:53Z,
for the dataset file:///shared/nantucket-regional-transit-authority_5832cacb.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. fare_attributes.txt
    5. fare_rules.txt
    6. frequencies.txt
    7. routes.txt
    8. shapes.txt
    9. stop_times.txt
    10. stops.txt
    11. transfers.txt
    12. trips.txt

    Counts


    • Agencies: 0
    • Blocks: 31
    • Routes: 11
    • Shapes: 11
    • Stops: 267
    • Trips: 793

    Specification Compliance report

    705 notices reported (683 errors, 16 warnings, 6 infos)

    Notice Code Severity Total
    block_trips_with_overlapping_stop_times ERROR 681

    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 681 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.
    714 "TL-3023" "TL-77" 681 "TL-2987" "TL-77" "TL-77_TL-1_" "20260615"
    714 "TL-3023" "TL-77" 739 "TL-3405" "TL-77" "TL-77_TL-1_" "20260615"
    681 "TL-2987" "TL-77" 739 "TL-3405" "TL-77" "TL-77_TL-1_" "20260615"
    657 "TL-2963" "TL-77" 715 "TL-3381" "TL-77" "TL-77_TL-1_" "20260615"
    657 "TL-2963" "TL-77" 682 "TL-2988" "TL-77" "TL-77_TL-1_" "20260615"
    657 "TL-2963" "TL-77" 740 "TL-3406" "TL-77" "TL-77_TL-1_" "20260615"
    715 "TL-3381" "TL-77" 682 "TL-2988" "TL-77" "TL-77_TL-1_" "20260615"
    715 "TL-3381" "TL-77" 740 "TL-3406" "TL-77" "TL-77_TL-1_" "20260615"
    682 "TL-2988" "TL-77" 740 "TL-3406" "TL-77" "TL-77_TL-1_" "20260615"
    682 "TL-2988" "TL-77" 658 "TL-2964" "TL-77" "TL-77_TL-1_" "20260615"
    682 "TL-2988" "TL-77" 716 "TL-3382" "TL-77" "TL-77_TL-1_" "20260615"
    740 "TL-3406" "TL-77" 658 "TL-2964" "TL-77" "TL-77_TL-1_" "20260615"
    740 "TL-3406" "TL-77" 716 "TL-3382" "TL-77" "TL-77_TL-1_" "20260615"
    658 "TL-2964" "TL-77" 716 "TL-3382" "TL-77" "TL-77_TL-1_" "20260615"
    658 "TL-2964" "TL-77" 741 "TL-3407" "TL-77" "TL-77_TL-1_" "20260615"
    716 "TL-3382" "TL-77" 741 "TL-3407" "TL-77" "TL-77_TL-1_" "20260615"
    741 "TL-3407" "TL-77" 659 "TL-2965" "TL-77" "TL-77_TL-1_" "20260615"
    741 "TL-3407" "TL-77" 717 "TL-3383" "TL-77" "TL-77_TL-1_" "20260615"
    659 "TL-2965" "TL-77" 717 "TL-3383" "TL-77" "TL-77_TL-1_" "20260615"
    659 "TL-2965" "TL-77" 742 "TL-3408" "TL-77" "TL-77_TL-1_" "20260615"
    717 "TL-3383" "TL-77" 742 "TL-3408" "TL-77" "TL-77_TL-1_" "20260615"
    742 "TL-3408" "TL-77" 660 "TL-2966" "TL-77" "TL-77_TL-1_" "20260615"
    742 "TL-3408" "TL-77" 718 "TL-3384" "TL-77" "TL-77_TL-1_" "20260615"
    660 "TL-2966" "TL-77" 718 "TL-3384" "TL-77" "TL-77_TL-1_" "20260615"
    660 "TL-2966" "TL-77" 743 "TL-3409" "TL-77" "TL-77_TL-1_" "20260615"
    718 "TL-3384" "TL-77" 743 "TL-3409" "TL-77" "TL-77_TL-1_" "20260615"
    743 "TL-3409" "TL-77" 661 "TL-2967" "TL-77" "TL-77_TL-1_" "20260615"
    743 "TL-3409" "TL-77" 719 "TL-3385" "TL-77" "TL-77_TL-1_" "20260615"
    661 "TL-2967" "TL-77" 719 "TL-3385" "TL-77" "TL-77_TL-1_" "20260615"
    661 "TL-2967" "TL-77" 683 "TL-2992" "TL-77" "TL-77_TL-1_" "20260615"
    661 "TL-2967" "TL-77" 744 "TL-3410" "TL-77" "TL-77_TL-1_" "20260615"
    661 "TL-2967" "TL-77" 703 "TL-3012" "TL-77" "TL-77_TL-1_" "20260615"
    661 "TL-2967" "TL-77" 765 "TL-3431" "TL-77" "TL-77_TL-1_" "20260615"
    719 "TL-3385" "TL-77" 683 "TL-2992" "TL-77" "TL-77_TL-1_" "20260615"
    719 "TL-3385" "TL-77" 744 "TL-3410" "TL-77" "TL-77_TL-1_" "20260615"
    719 "TL-3385" "TL-77" 703 "TL-3012" "TL-77" "TL-77_TL-1_" "20260615"
    719 "TL-3385" "TL-77" 765 "TL-3431" "TL-77" "TL-77_TL-1_" "20260615"
    683 "TL-2992" "TL-77" 744 "TL-3410" "TL-77" "TL-77_TL-1_" "20260615"
    683 "TL-2992" "TL-77" 703 "TL-3012" "TL-77" "TL-77_TL-1_" "20260615"
    683 "TL-2992" "TL-77" 765 "TL-3431" "TL-77" "TL-77_TL-1_" "20260615"
    683 "TL-2992" "TL-77" 662 "TL-2968" "TL-77" "TL-77_TL-1_" "20260615"
    683 "TL-2992" "TL-77" 720 "TL-3386" "TL-77" "TL-77_TL-1_" "20260615"
    744 "TL-3410" "TL-77" 703 "TL-3012" "TL-77" "TL-77_TL-1_" "20260615"
    744 "TL-3410" "TL-77" 765 "TL-3431" "TL-77" "TL-77_TL-1_" "20260615"
    744 "TL-3410" "TL-77" 662 "TL-2968" "TL-77" "TL-77_TL-1_" "20260615"
    744 "TL-3410" "TL-77" 720 "TL-3386" "TL-77" "TL-77_TL-1_" "20260615"
    703 "TL-3012" "TL-77" 765 "TL-3431" "TL-77" "TL-77_TL-1_" "20260615"
    703 "TL-3012" "TL-77" 662 "TL-2968" "TL-77" "TL-77_TL-1_" "20260615"
    703 "TL-3012" "TL-77" 720 "TL-3386" "TL-77" "TL-77_TL-1_" "20260615"
    703 "TL-3012" "TL-77" 684 "TL-2993" "TL-77" "TL-77_TL-1_" "20260615"
    invalid_url ERROR 1

    invalid_url

    A field contains a malformed URL.

    Definitions for valid URLs are quite vague. We perform strict validation using the Apache Commons UrlValidator.

    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.
    "agency.txt" 2 "agency_url" "nrtawave.transloc.com"
    stop_time_with_arrival_before_previous_departure_time ERROR 1

    stop_time_with_arrival_before_previous_departure_time

    Backwards time travel between stops in stop_times.txt

    For a given trip_id, the arrival_time of (n+1)-th stoptime in sequence must not precede the departure_time of n-th stoptime in sequence in stop_times.txt.

    You can see more about this notice here.

    csvRowNumber (?) The row number of the faulty record. prevCsvRowNumber (?) The row of the previous stop time. tripId (?) The trip_id associated to the faulty record. arrivalTime (?) Arrival time at the faulty record. departureTime (?) Departure time at the previous stop time.
    18099 18066 "TL-3156" "00:00:00" "23:20:00"
    fast_travel_between_consecutive_stops WARNING 3

    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.
    553 "TL-3265" "TL-12" 238.16295060709461 3.9693825101182436 19771 170 "TL-262" "Nantucket Memorial Airport" "20:30:00" 19784 1000 "TL-1" "Downtown (Washington Street Greenhound Stop)" "20:30:00"
    538 "TL-2847" "TL-12" 238.16295060709456 3.9693825101182427 10079 1 "TL-1" "Downtown (Washington Street Greenhound Stop)" "07:00:00" 10096 170 "TL-262" "Nantucket Memorial Airport" "07:00:00"
    552 "TL-2861" "TL-12" 238.16295060709461 3.9693825101182436 10530 170 "TL-262" "Nantucket Memorial Airport" "21:00:00" 10543 1000 "TL-1" "Downtown (Washington Street Greenhound Stop)" "21:00:00"
    fast_travel_between_far_stops WARNING 6

    fast_travel_between_far_stops

    A transit vehicle moves too fast between two far stops.

    Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

    The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

    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.
    426 "TL-3156" "TL-1" 621.094222879549 10.351570381325816 18066 10 "TL-1" "Downtown (Washington Street Greenhound Stop)" "23:20:00" 18099 1000 "TL-1" "Downtown (Washington Street Greenhound Stop)" "00:00:00"
    478 "TL-3091" "TL-4" 1544.1128146040157 25.735213576733596 15832 10 "TL-1" "Downtown (Washington Street Greenhound Stop)" "21:15:00" 15889 1000 "TL-1" "Downtown (Washington Street Greenhound Stop)" "21:15:00"
    451 "TL-3181" "TL-1" 621.094222879549 10.351570381325816 18916 10 "TL-1" "Downtown (Washington Street Greenhound Stop)" "23:40:00" 18949 1000 "TL-1" "Downtown (Washington Street Greenhound Stop)" "23:40:00"
    656 "TL-2913" "TL-2" 1115.346111659449 18.589101860990816 12115 80 "TL-64" "New Lane/Madaket Road (Outbound)" "23:59:00" 12153 1000 "TL-54" "Broad Street in front of the Whaling Museum" "23:59:00"
    403 "TL-3115" "TL-1" 621.094222879549 10.351570381325816 16672 10 "TL-1" "Downtown (Washington Street Greenhound Stop)" "00:15:00" 16705 1000 "TL-1" "Downtown (Washington Street Greenhound Stop)" "00:15:00"
    402 "TL-3114" "TL-1" 621.094222879549 10.351570381325816 16638 10 "TL-1" "Downtown (Washington Street Greenhound Stop)" "23:30:00" 16671 1000 "TL-1" "Downtown (Washington Street Greenhound Stop)" "23:30:00"
    missing_recommended_file WARNING 1

    missing_recommended_file

    A recommended file is missing.

    You can see more about this notice here.

    filename (?) The name of the faulty file.
    "feed_info.txt"
    mixed_case_recommended_field WARNING 1

    mixed_case_recommended_field

    This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

    This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

    Good examples:
    Field Text Dataset
    "Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
    "Red Hook/Atlantic Basin" NYC Ferry
    "Campo Grande Norte" Carris
    Bad examples:
    Field Text
    "GALLERIA MALL"
    "3427 GG 17"
    "21 Clark Rd Est"

    You can see more about this notice here.

    filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
    "stops.txt" "stop_name" "DWS DROPOFF ONLY" 156
    service_has_no_active_day_of_the_week WARNING 5

    service_has_no_active_day_of_the_week

    A service is not valid for any day of the week.

    You can see more about this notice here.

    csvRowNumber (?) The row number in calendar.txt where the error occurs. serviceId (?) The service_id field value.
    6 "TL-52"
    7 "TL-53"
    9 "TL-55"
    10 "TL-58"
    13 "TL-62"
    big_gap_in_service INFO 4

    big_gap_in_service

    A service has a gap of more than 13 days between active service dates.

    You can see more about this notice here.

    serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
    "TL-43" "2026-05-10" "2026-10-20" 162
    "TL-54" "2026-06-14" "2026-09-08" 85
    "TL-59" "2026-06-14" "2026-09-08" 85
    "TL-60" "2026-06-14" "2026-09-08" 85
    service_extends_far_in_the_future INFO 2

    service_extends_far_in_the_future

    A service end date is more than 2 years in the future.

    You can see more about this notice here.

    serviceId (?) The service_id that ends far in the future. serviceWindowEndDate (?) The end date of the service (YYYY-MM-DD format).
    "TL-29" "2050-12-30"
    "TL-93" "2050-12-30"