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south-east-usa — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-22T02:40:40Z,
for the dataset file:///shared/south-east-usa_3cd8eece.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
South East Area Transit
Feed Email:
ridewithus@seatbus.org
Feed Language:
English
Feed Start Date:
2024-12-01
Feed End Date:
2026-12-31

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: 0
  • Routes: 2
  • Shapes: 2
  • Stops: 45
  • Trips: 46

Specification Compliance report

43 notices reported (0 errors, 43 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 40

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

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 the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"South_outbound" 649 1101.212229 44 648 1101.212229 43
"South_outbound" 678 2267.508582 73 677 2267.508582 72
"South_outbound" 713 3551.810454 108 712 3551.810454 107
"South_outbound" 722 3647.529784 117 721 3647.529784 116
"South_outbound" 730 3789.179304 125 729 3789.179304 124
"South_outbound" 744 4107.106723 139 743 4107.106723 138
"South_outbound" 755 4890.351316 150 754 4890.351316 149
"South_outbound" 829 7641.773188 224 828 7641.773188 223
"South_outbound" 842 7799.564659 237 841 7799.564659 236
"South_outbound" 881 9095.693971 276 880 9095.693971 275
"South_outbound" 994 13350.59412 389 993 13350.59412 388
"South_outbound" 1013 13681.59826 408 1012 13681.59826 407
"South_outbound" 1039 15099.96742 434 1038 15099.96742 433
"South_outbound" 1056 15725.22073 451 1055 15725.22073 450
"South_outbound" 1069 16299.16587 464 1068 16299.16587 463
"South_outbound" 1107 17693.16503 502 1106 17693.16503 501
"South_outbound" 1174 20373.96454 569 1173 20373.96454 568
"South_outbound" 1191 20626.32238 586 1190 20626.32238 585
"North_outbound" 37 1521.706946 35 36 1521.706946 34
"North_outbound" 83 3728.637753 81 82 3728.637753 80
"North_outbound" 115 4709.696861 113 114 4709.696861 112
"North_outbound" 179 6727.720496 177 178 6727.720496 176
"North_outbound" 244 8617.955766 242 243 8617.955766 241
"North_outbound" 262 8898.388221 260 261 8898.388221 259
"North_outbound" 353 11229.22742 351 352 11229.22742 350
"North_outbound" 357 11349.25876 355 356 11349.25876 354
"North_outbound" 368 11526.76346 366 367 11526.76346 365
"North_outbound" 381 11903.70958 379 380 11903.70958 378
"North_outbound" 383 11966.05633 381 382 11966.05633 380
"North_outbound" 385 12036.6812 383 384 12036.6812 382
"North_outbound" 387 12086.99994 385 386 12086.99994 384
"North_outbound" 389 12117.72605 387 388 12117.72605 386
"North_outbound" 411 12929.98927 409 410 12929.98927 408
"North_outbound" 425 13282.13635 423 424 13282.13635 422
"North_outbound" 439 13760.33845 437 438 13760.33845 436
"North_outbound" 498 15888.16677 496 497 15888.16677 495
"North_outbound" 509 16094.01869 507 508 16094.01869 506
"North_outbound" 527 16933.95292 525 526 16933.95292 524
"North_outbound" 545 18273.66491 543 544 18273.66491 542
"North_outbound" 550 18588.54407 548 549 18588.54407 547
missing_recommended_field WARNING 1

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"
route_long_name_contains_short_name WARNING 2

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

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`. routeLongName (?) The faulty record's `route_long_name`.
"North" 2 "North" "North Maple"
"South" 3 "South" "South Putnam"