mayor-and-city-council-town-ocean-city — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-15T08:01:28Z,
for the dataset file:///shared/mayor-and-city-council-town-ocean-city_39162e06.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. routes.txt
  4. shapes.txt
  5. stop_times.txt
  6. stops.txt
  7. trips.txt

Counts


  • Agencies: 1
  • Blocks: 10
  • Routes: 2
  • Shapes: 13
  • Stops: 126
  • Trips: 516

Specification Compliance report

678 notices reported (143 errors, 19 warnings, 516 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 143

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 143 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.
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 154 0.0 2 309 0.0 1 29.709113428125136
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 110 0.0 3 154 0.0 2 28.126266032927788
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 271 0.0 4 110 0.0 3 448.21631825866433
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 273 0.0 5 271 0.0 4 416.47223359964846
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 150 0.0 6 273 0.0 5 370.664942159019
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 103 0.0 7 150 0.0 6 518.3483221100541
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 194 0.0 8 103 0.0 7 279.71489609862755
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 69 0.0 9 194 0.0 8 536.1746583725992
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 126 0.0 10 69 0.0 9 175.27912680453204
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 160 0.0 11 126 0.0 10 350.1108401460122
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 191 0.0 12 160 0.0 11 393.1240360059007
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 32 0.0 13 191 0.0 12 311.442099358024
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 189 0.0 14 32 0.0 13 387.3364558364412
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 246 0.0 15 189 0.0 14 426.75032561150124
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 262 0.0 16 246 0.0 15 295.2128700332081
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 177 0.0 17 262 0.0 16 570.0459265347158
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 269 0.0 18 177 0.0 17 390.03766424913726
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 112 0.0 19 269 0.0 18 245.49496672393133
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 268 0.0 20 112 0.0 19 359.69775423229356
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 98 0.0 21 268 0.0 20 691.2765123774096
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 144 0.0 22 98 0.0 21 499.89029696508914
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 173 0.0 23 144 0.0 22 503.58463244557214
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 124 0.0 24 173 0.0 23 451.2436678194269
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 294 0.0 25 124 0.0 24 380.406238510686
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 67 0.0 26 294 0.0 25 353.30631789155575
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 172 0.0 27 67 0.0 26 250.9061186238306
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 167 0.0 28 172 0.0 27 212.07315802873458
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 234 0.0 29 167 0.0 28 226.46939363496782
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 308 0.0 30 234 0.0 29 336.0618227636822
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 57 0.0 31 308 0.0 30 446.12127266771427
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 131 0.0 32 57 0.0 31 273.3864743779608
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 227 0.0 33 131 0.0 32 424.8615439536716
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 155 0.0 34 227 0.0 33 393.13648683518636
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 108 0.0 35 155 0.0 34 498.36064681391935
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 132 0.0 36 108 0.0 35 280.14333684157066
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 250 0.0 37 132 0.0 36 402.5302407169102
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 4 0.0 38 250 0.0 37 187.13856971816105
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 12 0.0 39 4 0.0 38 93.09574836292443
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 170 0.0 40 12 0.0 39 92.97286044928084
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 211 0.0 41 170 0.0 40 117.18924490859672
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 219 0.0 42 211 0.0 41 81.59720271289555
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 298 0.0 43 219 0.0 42 72.61636000335741
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 163 0.0 44 298 0.0 43 129.8738654847772
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 52 0.0 45 163 0.0 44 97.61674858129642
"d6dc7d4f-3a3e-486f-a5aa-4cb71735f3f7" 257 0.0 46 52 0.0 45 83.51965684265822
"8dbfc286-919a-46d9-9147-5de2a506aeb2" 26 0.0 2 133 0.0 1 32.42827664563065
"8dbfc286-919a-46d9-9147-5de2a506aeb2" 94 0.0 3 26 0.0 2 46.056339889675186
"8dbfc286-919a-46d9-9147-5de2a506aeb2" 302 0.0 4 94 0.0 3 327.6799105092511
"8dbfc286-919a-46d9-9147-5de2a506aeb2" 259 0.0 5 302 0.0 4 416.54400945679794
"8dbfc286-919a-46d9-9147-5de2a506aeb2" 186 0.0 6 259 0.0 5 593.9448073377404
expired_calendar WARNING 4

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.
2 "Spring2025"
3 "Summer2024"
4 "Winter2024-2025"
5 "Fall2024"
leading_or_trailing_whitespaces WARNING 1

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

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.
"routes.txt" 3 "route_desc" "West OC "
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.
"routes.txt" 2 "agency_id"
"routes.txt" 3 "agency_id"
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"
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.
103 "S133" "S133- Coastal Hwy at 133rd Street"
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.
"20260815" "20240524" "20240915"
unused_shape WARNING 9

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.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"8dbfc286-919a-46d9-9147-5de2a506aeb2" 5
"eba41e19-d40d-4901-8ea7-4dcdf6daed0b" 10
"3b87d654-1fcf-4c42-854f-84c277e146c6" 11
"4d6efc76-4804-495a-b83d-1300e02df5aa" 17
"4c3dfdd0-8035-4179-84c7-a91336aa5799" 23
"6090b941-2066-4fd7-a3bb-44538b37b387" 28
"a67df4ec-5fde-4d36-9100-8e39dde750a5" 48
"4023e6f6-6c47-40d6-a5c1-65cfbf743429" 58
"036fe9c7-aee4-42a3-94f0-d07bef28cd8d" 59
unsorted_stop_times INFO 516

unsorted_stop_times

Stop times are not sorted by trip_id and stop_sequence.

'stop_times.txt' entries for a given trip are not sorted by stop_sequence, or are not contiguous in the file.

You can see more about this notice here.

Only the first 50 of 516 affected records are displayed below.

tripId (?) The faulty record's trip_id. startCsvRowNumber (?) CSV row number of the first stop_times entry for this trip. endCsvRowNumber (?) CSV row number of the last stop_times entry for this trip.
"KuBCqQ" 7137 13987
"d3f565e4-00c1-4bd4-8bcb-98bfd2999d97" 462 25295
"n5gmkr" 10989 23968
"siNbpi" 2503 20781
"NiDaIz" 402 25313
"bf528f46-dc93-437c-a721-400f52ad7bc3" 553 26059
"34dd5252-7b48-4074-b8bc-4e02273f2759" 23 25469
"IiKrKW" 25 25485
"752c36dc-fdc7-4818-a592-d66c9d46f73a" 121 26070
"377199c5-2080-4afd-abdf-0d02cf07c358" 786 26057
"LjgOt3" 421 17238
"3e5a2f91-136e-4baf-b2f8-8dfb343378a0" 701 25917
"Hb3SMa" 535 25888
"kpN3Ls" 14893 23964
"roYDG7" 628 26002
"5e195a8b-895b-46bc-9ca3-381ad072dc1b" 574 25956
"d70a56e5-c67a-48e8-ade0-90bf6157b7e4" 1025 26165
"lTjDhl" 2196 21168
"b50f6625-32b3-4c60-9627-d83fc7c98a8a" 539 26113
"5ecab1a5-609f-4d07-99a7-8c4a09bd5152" 563 25929
"75ca9f2a-c715-4402-8e65-82f970b81bb6" 207 25979
"628df27f-ec91-4a6c-babc-da6d326a3af5" 158 25925
"J3xKwF" 3085 26093
"IwLVQL" 57 26026
"f0059f5f-d02d-49ce-8e45-ee75a03f7a0b" 312 26084
"SDnwcO" 233 25933
"J0gYVG" 3304 7860
"I75vwi" 576 18860
"YObte9" 28 25574
"i8spnm" 93 25620
"7b325533-daa7-404c-a85e-a5d1318eddf4" 351 26043
"642bfaeb-84b7-45b8-94cc-1db39dd2598a" 378 25900
"U0JOWd" 9 25932
"1JwDuV" 3167 22632
"l8mdfU" 43 25794
"2dEUf9" 6785 11502
"7NfsHa" 142 26120
"03545f2e-3cae-40de-b726-31ee3b781c99" 380 26047
"6d87c9cf-cc3c-4a59-aa93-b17261a0fac8" 478 25590
"98b7ba87-d486-494f-839a-65308580aa04" 695 26078
"c7a287e7-a7eb-4f50-92d4-85aa5839302f" 998 25409
"RE9lAs" 24560 24883
"c7adc126-08fa-41a8-a775-ecadcb22d2c2" 272 25968
"8HatKd" 3185 12496
"aePGGw" 879 25875
"d330a269-b3cd-4045-bf16-931f118b96e0" 1204 25905
"VaT8nk" 281 25490
"7ff66c5f-071b-41a2-ab79-64570a81a4ee" 518 26071
"46d956a9-f0dc-4529-8f7f-dbb9d4cc1be2" 147 26050
"8d9b8faa-8c24-4749-9ae9-e371f1c8963b" 1998 25217