GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T17:16:44Z,
for the dataset file:///shared/nassau-inter.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

  • Nassau Inter-County Express

Feed Info

Publisher Name:
Nassau Inter-County Express
Publisher URL:
https://www.nicebus.com/
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2025-12-08
Feed End Date:
2026-01-31

Files included

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

Counts

  • Agencies: 1
  • Blocks: 868
  • Routes: 44
  • Shapes: 170
  • Stops: 2466
  • Trips: 5622

Specification Compliance report

2452 notices reported (172 errors, 2280 warnings, 0 infos)

Notice Code Severity Total
trip_distance_exceeds_shape_distance ERROR 172

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 172 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.
"2011003" "4" 4.3798 4.1723 11.468439023520565
"2011005" "4" 4.3798 4.1723 11.468439023520565
"2063019" "13" 10.2239 10.2187 19.085462639668815
"2063006" "13" 10.2239 10.2187 19.085462639668815
"2063016" "13" 10.2239 10.2187 19.085462639668815
"2063004" "13" 10.2239 10.2187 19.085462639668815
"2063018" "13" 10.2239 10.2187 19.085462639668815
"2063201" "13" 10.2239 10.2187 19.085462639668815
"2063020" "13" 10.2239 10.2187 19.085462639668815
"2063021" "13" 10.2239 10.2187 19.085462639668815
"2063029" "13" 10.2239 10.2187 19.085462639668815
"2063022" "13" 10.2239 10.2187 19.085462639668815
"2063037" "13" 10.2239 10.2187 19.085462639668815
"2161004" "59" 8.4664 8.3617 17.77225137506576
"2161002" "59" 8.4664 8.3617 17.77225137506576
"2161006" "59" 8.4664 8.3617 17.77225137506576
"2161012" "59" 8.4664 8.3617 17.77225137506576
"2161016" "59" 8.4664 8.3617 17.77225137506576
"2161010" "59" 8.4664 8.3617 17.77225137506576
"2161014" "59" 8.4664 8.3617 17.77225137506576
"2161018" "59" 8.4664 8.3617 17.77225137506576
"2161020" "59" 8.4664 8.3617 17.77225137506576
"2161024" "59" 8.4664 8.3617 17.77225137506576
"2522001" "90" 14.1982 13.9871 32.4979375407052
"2351038" "102" 8.6172 8.0576 17.77225137506576
"2582002" "106" 3.1406 3.0921 61.142515900221646
"2582012" "106" 3.1406 3.0921 61.142515900221646
"2582008" "106" 3.1406 3.0921 61.142515900221646
"2582016" "106" 3.1406 3.0921 61.142515900221646
"2582017" "106" 3.1406 3.0921 61.142515900221646
"2582027" "106" 3.1406 3.0921 61.142515900221646
"2582033" "106" 3.1406 3.0921 61.142515900221646
"2582023" "106" 3.1406 3.0921 61.142515900221646
"2582032" "106" 3.1406 3.0921 61.142515900221646
"2063013" "13" 10.2239 10.2187 19.085462639668815
"2063030" "13" 10.2239 10.2187 19.085462639668815
"2063015" "13" 10.2239 10.2187 19.085462639668815
"2522005" "90" 14.1982 13.9871 32.4979375407052
"2351002" "117" 8.6169 8.0589 17.77225137506576
"2351016" "117" 8.6169 8.0589 17.77225137506576
"2351008" "117" 8.6169 8.0589 17.77225137506576
"2351018" "117" 8.6169 8.0589 17.77225137506576
"2351012" "117" 8.6169 8.0589 17.77225137506576
"2351023" "117" 8.6169 8.0589 17.77225137506576
"2351020" "117" 8.6169 8.0589 17.77225137506576
"2351034" "117" 8.6169 8.0589 17.77225137506576
"2351028" "117" 8.6169 8.0589 17.77225137506576
"2351030" "117" 8.6169 8.0589 17.77225137506576
"2352041" "121" 3.6249 3.5944 17.77225137506576
"2351032" "117" 8.6169 8.0589 17.77225137506576
expired_calendar WARNING 1

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.
3 "Hol1"
feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

Dataset should cover at least the next 30 days of service.

At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally for as long as the operator is confident that the schedule will continue to be operated.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20260123" "20260131" "20260222"
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 45

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"
"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"
mixed_case_recommended_field WARNING 12

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" "HEMPSTEAD TPK & STEWART AVE" 393
"stops.txt" "stop_name" "STEWART AVE + HEMPSTEAD TPKE" 421
"stops.txt" "stop_name" "WEST BROADWAY & ROCKWAY TPKE" 508
"stops.txt" "stop_name" "WEST BROADWAY & ROCKAWAY TPKE" 535
"stops.txt" "stop_name" "SHORE RD & GEORGE ST" 1315
"stops.txt" "stop_name" "SHORE RD & GEORGE ST" 1330
"stops.txt" "stop_name" "ATL BEACH PARK ST. ALBANY BLVD" 1786
"stops.txt" "stop_name" "ATL BEACH PARK ST ALBANY BLVD" 1791
"stops.txt" "stop_name" "ATL BCH W BEECH ST @ BROOKLINE AVE" 1803
"stops.txt" "stop_name" "SUNRISE HWY & UNQUA RD" 1955
"stops.txt" "stop_name" "MERRICK AVE. & JERUSALEM AVE." 1991
"stops.txt" "stop_name" "HICKSVILLE RD + BOUNDARY" 2184
stop_too_far_from_shape_using_user_distance WARNING 1158

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 1158 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.
499 "88" "2232003" 17632 "1857" "Port Wash Blvd @Vincent SmithSchool" [40.81410663043638,-73.68019434780807] 127.27897314213487
817 "110" "2311021" 31142 "6002" "Gateway Bl / B 19" [40.59793350000044,-73.7529227352937] 197.01843485950604
850 "113" "2322021" 32916 "2376" "Central Ave + N. Wood Ln" [40.628644028785814,-73.7141445323967] 112.2874373287181
850 "113" "2322021" 32917 "5123" "Central Ave & Linden St." [40.6241456578424,-73.720351222961] 449.88830808272735
850 "113" "2322021" 32918 "2372" "Central Ave + Prospect Ave" [40.623050138636536,-73.72185771379606] 422.36308149416374
850 "113" "2322021" 32919 "2374" "Central Ave + Maple Ave" [40.620663486416554,-73.72518049422881] 423.7149921862826
850 "113" "2322021" 32920 "2375" "Central Ave + Spruce St." [40.61788756755686,-73.72929552689071] 502.9164415937329
850 "113" "2322021" 32921 "278" "Central Ave + Washington Ave" [40.61348015336228,-73.73703754805463] 1118.048470174563
850 "113" "2322021" 32922 "8217" "Central Ave + Rockaway Tpke" [40.61124357143079,-73.74209166666998] 1118.67873321741
850 "113" "2322021" 32923 "2330" "Central Ave + Lawrence Ave." [40.60715100000023,-73.74957866666725] 1357.7296102022058
850 "113" "2322021" 32924 "2327" "Central Ave Opp Sutton Pl" [40.60436027777805,-73.75280388889124] 1429.9828086593084
850 "113" "2322021" 32925 "2310" "Central Ave + Lord Ave." [40.6019217349629,-73.75345108465312] 1412.233666600265
850 "113" "2322021" 32926 "5738" "Doughty Bl / Central" [40.5994927748997,-73.75407054694047] 1480.9308295144267
850 "113" "2322021" 32927 "5126" "Beach 12 St / Central" [40.596990000000005,-73.75426] 1445.3790423505106
850 "113" "2322021" 32928 "5127" "Nameoke St / Central" [40.596990000000005,-73.75426] 1095.0307597137005
850 "113" "2322021" 32929 "1003" "Mott Av / Central" [40.596990000000005,-73.75426] 872.0752193654773
850 "113" "2322021" 32930 "2321" "New Haven Av / B 20" [40.596990000000005,-73.75426] 429.2599466433703
866 "116" "2352002" 33911 "1083" "Meriam St / Clinton" [40.71451794059422,-73.62084813863237] 292.78376414583613
866 "116" "2352002" 33912 "1085" "Lent Av / Clinton" [40.71193797203052,-73.6206697901845] 260.69337730055935
866 "116" "2352002" 33913 "1087" "Jackson St / Clinton" [40.71226080002375,-73.62244599976854] 161.31951028154495
866 "116" "2352002" 33914 "4427" "Hemp Trans Ctr / Columbia" [40.7098972062995,-73.6253247161695] 205.90075110560193
866 "116" "2352002" 33915 "2628" "Fulton Av / Main" [40.70610195652456,-73.6235043478179] 217.49770145265845
866 "116" "2352002" 33916 "2627" "Main St + Front St." [40.70485038470543,-73.62170038430204] 240.34615263081852
866 "116" "2352002" 33917 "2600" "Grove St / Greenwich" [40.702278886825134,-73.61926321323362] 226.80873970435945
866 "116" "2352002" 33918 "4254" "Greenwich St + Angevine Ave" [40.70068476190635,-73.61756428570817] 176.08443863926632
866 "116" "2352002" 33919 "4938" "Baldwin Rd. & Marvin Ave." [40.69899373496559,-73.61625819264039] 207.49196179647484
866 "116" "2352002" 33920 "4939" "Baldwin Rd. & E. Graham Ave." [40.696813459919404,-73.61569531638102] 197.6415124470428
866 "116" "2352002" 33921 "67" "Baldwin Rd + Long Beach Rd" [40.69520142448052,-73.61484244151426] 148.73743104938796
866 "116" "2352002" 33922 "4940" "Baldwin Rd & Frazier St." [40.694138666668394,-73.61418933332135] 183.84092062058792
866 "116" "2352002" 33923 "4892" "Baldwin Rd + Brown Ave" [40.69245505154683,-73.61352072163905] 190.8593690628418
866 "116" "2352002" 33924 "2550" "Baldwin Rd + Windsor Pkwy" [40.689054285726776,-73.6141763850332] 399.9255913903518
866 "116" "2352002" 33925 "2551" "Baldwin Rd + Botsford St" [40.68729142857186,-73.61454621849583] 402.94238099426053
866 "116" "2352002" 33926 "4941" "Baldwin Rd. & Emery St." [40.68602932735695,-73.61476354266073] 402.54866126530015
866 "116" "2352002" 33927 "4942" "Baldwin Rd. & E. Marshall St." [40.6851982493444,-73.61492254656059] 406.29127133929364
866 "116" "2352002" 33928 "2554" "Grand Ave + Irene Rd" [40.68100925373206,-73.61498716415538] 421.9807559041994
866 "116" "2352002" 33929 "2555" "Grand Ave + May St" [40.67945571428593,-73.61477261904353] 420.8992722421939
866 "116" "2352002" 33930 "2556" "Grand Ave + Willis St" [40.67838526316049,-73.61444578944982] 420.6491663780909
866 "116" "2352002" 33931 "2557" "Grand Ave + Westminster Rd" [40.67615381630865,-73.61315939898999] 404.69495137012285
866 "116" "2352002" 33932 "2558" "Grand Ave + Joy Blvd" [40.674719121371716,-73.61225104584834] 408.3705134330692
866 "116" "2352002" 33933 "2559" "Grand Ave + Madison Ave" [40.672553094355095,-73.61103973569597] 420.6525832254429
866 "116" "2352002" 33934 "2803" "DeMott Av / Grand" [40.6717208783865,-73.61081118232471] 395.93983464503015
866 "116" "2352002" 33935 "4894" "Grand Ave + William St" [40.66901145043241,-73.60933152644505] 405.40666401013056
866 "116" "2352002" 33936 "2562" "Grand Ave Opp Wallace Ave" [40.66748253449307,-73.60851782329766] 421.9645485804363
866 "116" "2352002" 33937 "4891" "Grand Ave + Stanton Ave" [40.665941171171745,-73.60781459458397] 420.16182911931816
866 "116" "2352002" 33938 "2564" "Grand Ave Opp Ethel T. Kloberg Dr" [40.66194328084015,-73.60761648291574] 532.9053489664027
866 "116" "2352002" 33939 "2565" "Grand Ave + St Lukes Pl" [40.659538667747434,-73.60815431921316] 524.9653623795939
866 "116" "2352002" 33940 "4887" "Grand Ave Opp Lorenz Ave" [40.65766713944125,-73.60874300816609] 507.99906972642077
866 "116" "2352002" 33941 "2567" "Grand Ave + Florence St" [40.65624714288259,-73.60949142863905] 487.1016065847221
866 "116" "2352002" 33942 "2568" "Grand Ave + Baldwin Ave" [40.65454389474066,-73.61055589476554] 506.5166281186172
866 "116" "2352002" 33943 "4884" "Grand Ave + Baldwin LIRR Station" [40.65265647062853,-73.61143470618575] 505.1148041397159
stop_without_stop_time WARNING 1

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.
2467 "STEW" "STEWART"
trip_distance_exceeds_shape_distance_below_threshold WARNING 1061

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 1061 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.
"2011001" "2" 4.3002 4.2156 9.884041503532812
"2012006" "3" 5.4963 4.1967 5.7259185018167775
"2012008" "3" 5.4963 4.1967 5.7259185018167775
"2011010" "6" 8.8419 8.7571 9.884041503532812
"2011014" "6" 8.8419 8.7571 9.884041503532812
"2043001" "8" 13.9405 13.5254 5.466455262873849
"2043011" "8" 13.9405 13.5254 5.466455262873849
"2043025" "8" 13.9405 13.5254 5.466455262873849
"2043004" "8" 13.9405 13.5254 5.466455262873849
"2053009" "11" 13.4652 13.4642 5.466455262873849
"2043005" "8" 13.9405 13.5254 5.466455262873849
"2053010" "11" 13.4652 13.4642 5.466455262873849
"2043027" "8" 13.9405 13.5254 5.466455262873849
"2043017" "8" 13.9405 13.5254 5.466455262873849
"2043039" "8" 13.9405 13.5254 5.466455262873849
"2053020" "11" 13.4652 13.4642 5.466455262873849
"2043036" "8" 13.9405 13.5254 5.466455262873849
"2043055" "8" 13.9405 13.5254 5.466455262873849
"2043203" "8" 13.9405 13.5254 5.466455262873849
"2043202" "8" 13.9405 13.5254 5.466455262873849
"2053201" "11" 13.4652 13.4642 5.466455262873849
"2043038" "8" 13.9405 13.5254 5.466455262873849
"2043051" "8" 13.9405 13.5254 5.466455262873849
"2043054" "8" 13.9405 13.5254 5.466455262873849
"2043066" "8" 13.9405 13.5254 5.466455262873849
"2053021" "11" 13.4652 13.4642 5.466455262873849
"2043060" "8" 13.9405 13.5254 5.466455262873849
"2043065" "8" 13.9405 13.5254 5.466455262873849
"2043047" "8" 13.9405 13.5254 5.466455262873849
"2043062" "8" 13.9405 13.5254 5.466455262873849
"2411001" "18" 5.1742 5.0744 10.680052424128483
"2063121" "33" 10.5435 10.5388 8.764949006589191
"2063126" "35" 10.5047 10.2191 10.680052424128483
"2064128" "36" 10.2636 10.0983 4.386202330126083
"2063128" "35" 10.5047 10.2191 10.680052424128483
"2064129" "36" 10.2636 10.0983 4.386202330126083
"2063129" "35" 10.5047 10.2191 10.680052424128483
"2064130" "36" 10.2636 10.0983 4.386202330126083
"2053024" "11" 13.4652 13.4642 5.466455262873849
"2043061" "8" 13.9405 13.5254 5.466455262873849
"2043067" "8" 13.9405 13.5254 5.466455262873849
"2411003" "18" 5.1742 5.0744 10.680052424128483
"2043070" "8" 13.9405 13.5254 5.466455262873849
"2043059" "8" 13.9405 13.5254 5.466455262873849
"2043068" "8" 13.9405 13.5254 5.466455262873849
"2411004" "18" 5.1742 5.0744 10.680052424128483
"2411005" "18" 5.1742 5.0744 10.680052424128483
"2043063" "8" 13.9405 13.5254 5.466455262873849
"2411002" "18" 5.1742 5.0744 10.680052424128483
"2043069" "8" 13.9405 13.5254 5.466455262873849