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nassau-inter
Source Data Validation Report

nassau-inter — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-23T20:42:20Z,
for the dataset file:///shared/nassau-inter_d4ddc949.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Nassau Inter-County Express
- website: http://www.nicebus.com
- phone number: (516) 336-6600
- email: Not provided

Feed Info

Publisher Name:
Nassau Inter-County Express: Publisher URL:
https://www.nicebus.com/: Feed Email:
N/A: Feed Language:
English: Feed Start Date:
2026-03-08: Feed End Date:
2026-05-16: Service Window:
2026-03-08 to 2026-05-16 (?) The range of service dates covered by the feed, based on trips with an associated service_id in calendar.txt and/or calendar_dates.txt

Files included

agency.txt
calendar.txt
feed_info.txt
routes.txt
shapes.txt
stop_times.txt
stops.txt
trips.txt

Counts

Agencies: 1
Blocks: 751
Routes: 44
Shapes: 171
Stops: 2465
Trips: 4918

GTFS Features included (?) GTFS features provide a standardized vocabulary to define and describe features that are officially adopted in GTFS.

Shapes Feed Information Route Colors Headsigns Location Types

Specification Compliance report

2293 notices reported (176 errors, 2117 warnings, 0 infos)

Notice Code Severity Total

trip_distance_exceeds_shape_distance ERROR 176

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 176 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.
"1351017"	"58"	6.4791	5.7996	15.80773468685077
"1352031"	"61"	3.6249	3.5944	17.77225137506576
"1351013"	"58"	6.4791	5.7996	15.80773468685077
"1351015"	"58"	6.4791	5.7996	15.80773468685077
"1351005"	"58"	6.4791	5.7996	15.80773468685077
"1351007"	"58"	6.4791	5.7996	15.80773468685077
"1351019"	"58"	6.4791	5.7996	15.80773468685077
"1351003"	"58"	6.4791	5.7996	15.80773468685077
"1351011"	"58"	6.4791	5.7996	15.80773468685077
"1351025"	"58"	6.4791	5.7996	15.80773468685077
"1351027"	"58"	6.4791	5.7996	15.80773468685077
"1351029"	"58"	6.4791	5.7996	15.80773468685077
"1351030"	"58"	6.4791	5.7996	15.80773468685077
"1351021"	"58"	6.4791	5.7996	15.80773468685077
"1351023"	"58"	6.4791	5.7996	15.80773468685077
"1021001"	"65"	4.3798	4.1723	11.468439023520565
"1021002"	"65"	4.3798	4.1723	11.468439023520565
"1021003"	"65"	4.3798	4.1723	11.468439023520565
"1351009"	"58"	6.4791	5.7996	15.80773468685077
"1021013"	"65"	4.3798	4.1723	11.468439023520565
"1021014"	"65"	4.3798	4.1723	11.468439023520565
"1021015"	"65"	4.3798	4.1723	11.468439023520565
"1021016"	"65"	4.3798	4.1723	11.468439023520565
"1064122"	"71"	9.9273	9.7618	15.11348121234907
"1064121"	"71"	9.9273	9.7618	15.11348121234907
"1064123"	"71"	9.9273	9.7618	15.11348121234907
"2011003"	"65"	4.3798	4.1723	11.468439023520565
"2011005"	"65"	4.3798	4.1723	11.468439023520565
"2063006"	"83"	10.2239	10.2187	19.085462639668815
"2063016"	"83"	10.2239	10.2187	19.085462639668815
"2063004"	"83"	10.2239	10.2187	19.085462639668815
"2063018"	"83"	10.2239	10.2187	19.085462639668815
"2063019"	"83"	10.2239	10.2187	19.085462639668815
"2063020"	"83"	10.2239	10.2187	19.085462639668815
"2063021"	"83"	10.2239	10.2187	19.085462639668815
"2063031"	"83"	10.2239	10.2187	19.085462639668815
"2063022"	"83"	10.2239	10.2187	19.085462639668815
"2063029"	"83"	10.2239	10.2187	19.085462639668815
"2063037"	"83"	10.2239	10.2187	19.085462639668815
"2063035"	"83"	10.2239	10.2187	19.085462639668815
"2063039"	"83"	10.2239	10.2187	19.085462639668815
"2064128"	"71"	9.9273	9.7618	15.11348121234907
"2064129"	"71"	9.9273	9.7618	15.11348121234907
"2064130"	"71"	9.9273	9.7618	15.11348121234907
"2161003"	"98"	8.4664	8.3617	17.77225137506576
"2161002"	"98"	8.4664	8.3617	17.77225137506576
"2161004"	"98"	8.4664	8.3617	17.77225137506576
"2161007"	"98"	8.4664	8.3617	17.77225137506576
"2161009"	"98"	8.4664	8.3617	17.77225137506576
"2161006"	"98"	8.4664	8.3617	17.77225137506576

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	"20260423"	"20260516"	"20260523"

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"	384
"stops.txt"	"stop_name"	"STEWART AVE + HEMPSTEAD TPKE"	489
"stops.txt"	"stop_name"	"MERRICK AVE. & JERUSALEM AVE."	546
"stops.txt"	"stop_name"	"SUNRISE HWY & UNQUA RD"	583
"stops.txt"	"stop_name"	"SHORE RD & GEORGE ST"	1337
"stops.txt"	"stop_name"	"SHORE RD & GEORGE ST"	1352
"stops.txt"	"stop_name"	"WEST BROADWAY & ROCKWAY TPKE"	1711
"stops.txt"	"stop_name"	"WEST BROADWAY & ROCKAWAY TPKE"	1718
"stops.txt"	"stop_name"	"ATL BEACH PARK ST. ALBANY BLVD"	2030
"stops.txt"	"stop_name"	"ATL BEACH PARK ST ALBANY BLVD"	2035
"stops.txt"	"stop_name"	"ATL BCH W BEECH ST @ BROOKLINE AVE"	2047
"stops.txt"	"stop_name"	"HICKSVILLE RD + BOUNDARY"	2225

stop_too_far_from_shape_using_user_distance WARNING 1161

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 1161 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.
1598	"111"	"2161018"	67452	"1209"	"Bennett Av / Jackson"	[40.71634980000265,-73.61267150002577]	500.6162579109477
1598	"111"	"2161018"	67453	"1264"	"Yale St / Westbury"	[40.720056067526116,-73.60990419511685]	512.4802042072686
1598	"111"	"2161018"	67454	"1217"	"Fairview Bl / Westbury"	[40.72305202027852,-73.60567330096086]	508.4977606362128
1598	"111"	"2161018"	67455	"8516"	"Meadow St / Oak"	[40.72773090909263,-73.60878818180477]	520.8047792055413
1598	"111"	"2161018"	67456	"2137"	"Brook St / Oak"	[40.73056286658889,-73.6047940448827]	418.0182403861699
1598	"111"	"2161018"	67457	"5139"	"NICE Bus / Commercial"	[40.73314528303219,-73.6055079245405]	346.0193102273219
1598	"111"	"2161018"	67458	"1241"	"Stewart Av / BJ's"	[40.73176857142887,-73.61278464285286]	490.95063248714325
1598	"111"	"2161018"	67459	"1245"	"Mall Entrance / Stewart"	[40.73475255814163,-73.61154460463128]	345.8114866209398
1598	"111"	"2161018"	67460	"4301"	"Roosevelt Field Bus Term"	[40.734254274200396,-73.61474637094024]	359.34998835280743
1599	"112"	"2162018"	67467	"1154"	"Commander St / Westbury"	[40.72113333334183,-73.6087125000263]	206.05668933216606
1599	"112"	"2162018"	67468	"1156"	"Harvard St / Westbury"	[40.71745040112136,-73.61219412713231]	206.3552650403202
1599	"112"	"2162018"	67469	"1157"	"Jackson St / Bennett"	[40.71380579912865,-73.61438849330867]	196.14218536906728
1599	"112"	"2162018"	67470	"1158"	"Clinton St / Jackson"	[40.71221659851467,-73.61827199258188]	186.31301419007312
1599	"112"	"2162018"	67471	"4427"	"Hemp Trans Ctr / Columbia"	[40.712264837106964,-73.62312689005616]	187.789065822949
1599	"112"	"2162018"	67472	"1160"	"Franklin St / Fulton"	[40.70910805568331,-73.62759313157268]	207.14429689645968
1599	"112"	"2162018"	67473	"4687"	"S Franklin St + Newman Ct"	[40.706956363638106,-73.62667363635062]	221.33106890448076
1599	"112"	"2162018"	67474	"4686"	"S Franklin Ave + Grove St"	[40.70411282758664,-73.6258697930877]	222.1019269022855
1599	"112"	"2162018"	67475	"1163"	"S Franklin Ave Opp Cruickshank Ave"	[40.70135068966031,-73.62430379307668]	224.55128607954262
1599	"112"	"2162018"	67476	"1164"	"S Franklin Ave + Linden Ave"	[40.70023815126706,-73.6237090755847]	208.54292089181843
1599	"112"	"2162018"	67477	"1165"	"S Franklin Ave + W Graham Ave"	[40.69876681819326,-73.6229573862793]	201.1893182677652
1599	"112"	"2162018"	67478	"4688"	"S Franklin Ave Opp Peters Ave"	[40.69725835443087,-73.62222303797006]	215.15038244597264
1599	"112"	"2162018"	67479	"1167"	"S Franklin Ave + Dorlan St"	[40.69507,-73.62186000000001]	222.67395247717778
1599	"112"	"2162018"	67480	"1168"	"S Franklin Ave + Burnett St"	[40.69413403225806,-73.62174]	225.18031310382273
1599	"112"	"2162018"	67481	"1169"	"S Franklin Ave + W Marshall St"	[40.69199428571464,-73.62206693878129]	222.46703264837086
1599	"112"	"2162018"	67482	"1170"	"S Franklin Ave + Carolina Ave"	[40.69047703125029,-73.62244765625292]	225.32705379943428
1599	"112"	"2162018"	67483	"90"	"Molloy College"	[40.688044666666755,-73.62396266666725]	224.65771793042958
1599	"112"	"2162018"	67484	"2505"	"Locust St / Hempstead"	[40.686956691762255,-73.62452165436436]	223.3232184170384
1599	"112"	"2162018"	67485	"1173"	"Hempstead Ave + Atkinson Rd"	[40.68492423730561,-73.62561177972647]	224.25841887345513
1599	"112"	"2162018"	67486	"1174"	"Hempstead Ave + Wright Rd"	[40.683623459933166,-73.62655827016432]	211.05723538357427
1599	"112"	"2162018"	67487	"4291"	"Hempstead Ave + Columbia Rd"	[40.682039767508165,-73.62772098851967]	207.97321073282586
1599	"112"	"2162018"	67488	"1176"	"Hempstead Ave + Vandeveer Ct"	[40.680639090909594,-73.63000145454653]	226.68955023979112
1599	"112"	"2162018"	67489	"1177"	"Hempstead Ave + Roxen Rd"	[40.67988821053489,-73.63082884214502]	226.95750329258846
1599	"112"	"2162018"	67490	"1178"	"Hempstead Ave + Andover Rd"	[40.67808112359756,-73.63172943821658]	223.910176712737
1599	"112"	"2162018"	67491	"1179"	"Hempstead Ave + Fountain Ave"	[40.67650890636043,-73.63290125033599]	222.93752582652579
1599	"112"	"2162018"	67492	"4299"	"Hempstead Ave + DeMott Ave"	[40.67504,-73.63461000000001]	215.87237009324653
1599	"112"	"2162018"	67493	"1181"	"Hempstead Ave + Midwood Rd"	[40.67357130842187,-73.63598691592203]	209.66551920436632
1599	"112"	"2162018"	67494	"5145"	"Hempstead Ave & Westminister Road"	[40.67214584555748,-73.63707811662275]	202.2134169803022
1599	"112"	"2162018"	67495	"1182"	"Hempstead Ave + Varick Ct"	[40.6703913750167,-73.63875700007154]	227.40640675820106
1599	"112"	"2162018"	67496	"1183"	"Hempstead Ave + Argyle Pl"	[40.668958750032324,-73.63990929181324]	225.82263974841575
1599	"112"	"2162018"	67497	"1184"	"Hempstead Ave + Vassar Pl"	[40.66694875004704,-73.64149742668442]	225.0473651794375
1599	"112"	"2162018"	67498	"4300"	"Hempstead Ave + Lakeview Ave"	[40.66555563025527,-73.64258504202631]	224.42174136486122
1599	"112"	"2162018"	67499	"1186"	"Hempstead Ave + Irving Pl"	[40.664450102264006,-73.6437871639885]	223.77642539460206
1599	"112"	"2162018"	67500	"1187"	"Village Av / Hempstead"	[40.66252378852036,-73.64617596824742]	216.36324765992273
1599	"112"	"2162018"	67501	"1188"	"Washington St / N Centre"	[40.66080576271193,-73.64991067796444]	232.99161425627037
1599	"112"	"2162018"	67502	"1040"	"S Park Ave / Lenox Rd"	[40.655302385398016,-73.64774518324866]	164.47556465876525
1599	"112"	"2162018"	67503	"24"	"Rockvl Ctr: Merrick + Park Ave"	[40.6541461290326,-73.64644709677262]	230.31738212725233
1599	"112"	"2162018"	67504	"2504"	"Rockville Centre Sta"	[40.65676356640291,-73.64524026166104]	174.6700045381051
1616	"113"	"2304001"	67972	"6199"	"Americana Mall / Northern"	[40.795996252559505,-73.67435464887991]	118.54248554115347
1641	"115"	"2212002"	68805	"9159"	"Right on Old Northern Bl"	[40.800939836108185,-73.64772147547674]	116.73994267115367
1641	"115"	"2212002"	68806	"1456"	"Bryant Ave Opp Hillcrest Ave"	[40.800708000002594,-73.64826000000363]	120.52522269962587

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.
1696	"STEW"	"STEWART"

trip_distance_exceeds_shape_distance_below_threshold WARNING 896

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 896 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.
"1043001"	"2"	13.9405	13.5254	5.466455262873849
"1043012"	"2"	13.9405	13.5254	5.466455262873849
"1043019"	"2"	13.9405	13.5254	5.466455262873849
"1043002"	"2"	13.9405	13.5254	5.466455262873849
"1043008"	"2"	13.9405	13.5254	5.466455262873849
"1043016"	"2"	13.9405	13.5254	5.466455262873849
"1043024"	"2"	13.9405	13.5254	5.466455262873849
"1043003"	"2"	13.9405	13.5254	5.466455262873849
"1043009"	"2"	13.9405	13.5254	5.466455262873849
"1043017"	"2"	13.9405	13.5254	5.466455262873849
"1043005"	"2"	13.9405	13.5254	5.466455262873849
"1043013"	"2"	13.9405	13.5254	5.466455262873849
"1043020"	"2"	13.9405	13.5254	5.466455262873849
"1043030"	"2"	13.9405	13.5254	5.466455262873849
"1043007"	"2"	13.9405	13.5254	5.466455262873849
"1043014"	"2"	13.9405	13.5254	5.466455262873849
"1043027"	"2"	13.9405	13.5254	5.466455262873849
"1043031"	"2"	13.9405	13.5254	5.466455262873849
"1043039"	"2"	13.9405	13.5254	5.466455262873849
"1043047"	"2"	13.9405	13.5254	5.466455262873849
"1043026"	"2"	13.9405	13.5254	5.466455262873849
"1043033"	"2"	13.9405	13.5254	5.466455262873849
"1043045"	"2"	13.9405	13.5254	5.466455262873849
"1043035"	"2"	13.9405	13.5254	5.466455262873849
"1043042"	"2"	13.9405	13.5254	5.466455262873849
"1043028"	"2"	13.9405	13.5254	5.466455262873849
"1043043"	"2"	13.9405	13.5254	5.466455262873849
"1703036"	"20"	13.4414	12.9943	5.249219636370934
"1704036"	"21"	14.2236	12.7583	10.680052424128483
"1704033"	"21"	14.2236	12.7583	10.680052424128483
"1043034"	"2"	13.9405	13.5254	5.466455262873849
"1043041"	"2"	13.9405	13.5254	5.466455262873849
"1043048"	"2"	13.9405	13.5254	5.466455262873849
"1411001"	"23"	5.1742	5.0744	10.680052424128483
"1043052"	"2"	13.9405	13.5254	5.466455262873849
"1411004"	"23"	5.1742	5.0744	10.680052424128483
"1703035"	"20"	13.4414	12.9943	5.249219636370934
"1704035"	"21"	14.2236	12.7583	10.680052424128483
"1043044"	"2"	13.9405	13.5254	5.466455262873849
"1043050"	"2"	13.9405	13.5254	5.466455262873849
"1411002"	"23"	5.1742	5.0744	10.680052424128483
"1043053"	"2"	13.9405	13.5254	5.466455262873849
"1043040"	"2"	13.9405	13.5254	5.466455262873849
"1043046"	"2"	13.9405	13.5254	5.466455262873849
"1043051"	"2"	13.9405	13.5254	5.466455262873849
"1411003"	"23"	5.1742	5.0744	10.680052424128483
"1043054"	"2"	13.9405	13.5254	5.466455262873849
"1432004"	"27"	9.0122	9.0099	5.466455262873849
"1022006"	"30"	12.5664	11.1766	4.786747638755951
"1021007"	"31"	12.0539	11.1399	4.317624588404139