greater-portland — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-09-02T22:32:39Z,
for the dataset file:///shared/greater-portland_a31f56d9.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. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. transfers.txt
  9. trips.txt

Counts


  • Agencies: 1
  • Blocks: 56
  • Routes: 14
  • Shapes: 102
  • Stops: 1368
  • Trips: 2741

Specification Compliance report

2383 notices reported (0 errors, 2382 warnings, 1 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 191

equal_shape_distance_diff_coordinates_distance_below_threshold

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 0 but less than 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 small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 191 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.
"HSK_372_783" 8315 2213.0 214 8314 2213.0 213 0.8044157784080564
"HSK_372_783" 8318 2216.0 217 8317 2216.0 216 0.7963714871372028
"HSK_372_783" 8321 2219.0 220 8320 2219.0 219 0.8044155083863148
"HSK_372_783" 8324 2222.0 223 8323 2222.0 222 0.8044153764455921
"HSK_372_783" 8331 2229.0 230 8330 2229.0 229 0.8124596643298296
"HSK_372_783" 8334 2232.0 233 8333 2232.0 232 0.8044156433971977
"HSK_372_783" 9006 11635.0 905 9005 11635.0 904 0.8041978824224093
"2_372_750" 7752 559.0 34 7751 559.0 33 0.8044684325606395
"2_372_750" 7946 4639.0 228 7945 4639.0 227 0.8040792576554247
"4_251_484" 35106 2715.0 135 35105 2715.0 134 0.8124615589106567
"4_251_484" 35134 2744.0 163 35133 2744.0 162 0.8044153754221974
"4_251_817_1" 5057 2715.0 135 5056 2715.0 134 0.8124615589106567
"4_251_817_1" 5085 2744.0 163 5084 2744.0 162 0.8044153754221974
"HSK_111_783_1" 20402 3366.0 194 20401 3366.0 193 0.7963717534557518
"HSK_111_783_1" 20411 3375.0 203 20410 3375.0 202 0.8044155094097097
"HSK_111_783_1" 20413 3377.0 205 20412 3377.0 204 0.8044153764455921
"HSK_111_783_1" 20421 3385.0 213 20420 3385.0 212 0.7963713534661947
"HSK_111_783_1" 20424 3388.0 216 20423 3388.0 215 0.8044156433971977
"HSK_111_783_1" 20428 3392.0 220 20427 3392.0 219 0.7963717524323563
"HSK_111_783_1" 20620 9015.0 412 20619 9015.0 411 0.8042935696159551
"4_817_251_1" 38136 3349.0 181 38135 3349.0 180 0.8042214698227648
"4_817_251_1" 38501 10862.0 546 38500 10862.0 545 0.796374802296247
"4_817_251_1" 38506 10866.0 551 38505 10866.0 550 0.7963748033196464
"4_817_251_1" 38509 10869.0 554 38508 10869.0 553 0.804418858066158
"2_750_372" 4514 19.0 3 4513 19.0 2 0.5038288911347031
"24A_1144_1054" 31436 8142.0 397 31435 8142.0 396 0.5227115604399772
"4_817_372" 3438 3349.0 181 3437 3349.0 180 0.8042214698227648
"4_817_372" 3842 11839.0 585 3841 11839.0 584 0.804418189154813
"4_817_372" 3848 11846.0 591 3847 11846.0 590 0.7963745380256088
"4_817_372" 3857 11855.0 600 3856 11855.0 599 0.8044189930764328
"4_817_251" 38776 3349.0 181 38775 3349.0 180 0.8042214698227648
"4_817_251" 39190 11934.0 595 39189 11934.0 594 0.7963745380256088
"4_817_251" 39199 11943.0 604 39198 11943.0 603 0.8044189930764328
"1_393_491" 29918 4654.0 256 29917 4654.0 255 0.8045342116931433
"24A_1054_1144" 41715 4926.0 256 41714 4926.0 255 0.11119510090982554
"24A_1054_1144" 42369 18226.0 910 42368 18226.0 909 0.8048967682980475
"4_779_372" 24191 10930.0 532 24190 10930.0 531 0.8044189930764328
"4_779_372" 24196 10934.0 537 24195 10934.0 536 0.8044189930764328
"5_1112_372" 59323 8506.0 499 59322 8506.0 498 0.8125408562999809
"5_1112_251" 59922 8506.0 499 59921 8506.0 498 0.8125408562999809
"8_109_132" 25 207.0 23 24 207.0 22 0.13724348096594008
"4_817_372_1" 2770 3349.0 181 2769 3349.0 180 0.8042214698227648
"4_817_372_1" 3135 10862.0 546 3134 10862.0 545 0.796374802296247
"4_817_372_1" 3140 10866.0 551 3139 10866.0 550 0.7963748033196464
"4_817_372_1" 3143 10869.0 554 3142 10869.0 553 0.804418858066158
"24B_1054_1071_1" 65868 985.0 74 65867 985.0 73 0.7790509216576041
"24B_1054_1071_1" 65897 1304.0 103 65896 1304.0 102 0.5617662229375209
"24B_1054_1071_1" 66008 2655.0 214 66007 2655.0 213 0.561768329679609
"24B_1054_1071_1" 66103 3714.0 309 66102 3714.0 308 0.5741896013920703
"24B_1054_1071_1" 66216 5438.0 422 66215 5438.0 421 0.3335853034368008
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 2189

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.

Only the first 50 of 2189 affected records are displayed below.

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" "VERANDA&MARINE" 35
"stops.txt" "stop_name" "PREBLE EXT&MARG" 79
"stops.txt" "stop_name" "FOREST&RIVERSID" 86
"stops.txt" "stop_name" "EAST BR&CONSTIT" 91
"stops.txt" "stop_name" "BRIGHTON&416 BR" 96
"stops.txt" "stop_name" "FORE RIVER PARK" 106
"stops.txt" "stop_name" "DEERINGS CORNER" 119
"stops.txt" "stop_name" "BRIGHTON&460 BR" 124
"stops.txt" "stop_name" "WILLIAM CLARK&M" 145
"stops.txt" "stop_name" "WASHINGTON&PHEA" 170
"stops.txt" "stop_name" "JOHN ROBERTS&PH" 179
"stops.txt" "stop_name" "EAST BR&CONSTIT" 243
"stops.txt" "stop_name" "EAST BR&INDEPEN" 244
"stops.txt" "stop_name" "WILLIAM CLARK&S" 256
"stops.txt" "stop_name" "HIGHLAND & OPP" 311
"stops.txt" "stop_name" "WASHINGTON&SKYL" 330
"stops.txt" "stop_name" "WASHINGTON&DEER" 334
"stops.txt" "stop_name" "CONGRESS&INTERN" 356
"stops.txt" "stop_name" "WASHINGTON&PHEA" 360
"stops.txt" "stop_name" "WASHINGTON&EAST" 362
"stops.txt" "stop_name" "WASHINGTON&PRES" 364
"stops.txt" "stop_name" "WILLIAM CLARK&S" 384
"stops.txt" "stop_name" "RUNNING HILL&82" 405
"stops.txt" "stop_name" "WASH.&1364WASH." 499
"stops.txt" "stop_name" "CONGRESS&EMERSON" 501
"stops.txt" "stop_name" "WASHINGTON&PRES" 512
"stops.txt" "stop_name" "EAST BR&96 EAST" 517
"stops.txt" "stop_name" "PREBLE&MARGINAL" 541
"stops.txt" "stop_name" "WESTBROOK&BETH" 566
"stops.txt" "stop_name" "WESTERN & CREEK" 585
"stops.txt" "stop_name" "MECHANIC&WEST" 597
"stops.txt" "stop_name" "DEERINGS CORNER" 608
"stops.txt" "stop_name" "WASHINGTON&CUMB" 616
"stops.txt" "stop_name" "HIGHLAND&WHISPE" 628
"stops.txt" "stop_name" "CONGRESS & INDIA" 638
"stops.txt" "stop_name" "COMM&CHAND WHARF" 648
"stops.txt" "stop_name" "CASCO BAY LINES" 649
"stops.txt" "stop_name" "WASHINGTON&EAST" 656
"stops.txt" "stop_name" "HIGHLAND&WHISPE" 690
"stops.txt" "stop_name" "WASHINGTON&CUMB" 695
"stops.txt" "stop_name" "CONGRESS & INDIA" 703
"stops.txt" "stop_name" "COMM&CHAND WHARF" 715
"stops.txt" "stop_name" "CASCO BAY LINES" 716
"stops.txt" "stop_name" "WILLIAM CLARK&S" 741
"stops.txt" "stop_name" "EAST BR&96 EAST" 746
"stops.txt" "stop_name" "EAST BR&CONSTIT" 758
"stops.txt" "stop_name" "VERANDA&MARINE" 783
"stops.txt" "stop_name" "WASHINGTON&EAST" 795
"stops.txt" "stop_name" "DEERINGS CORNER" 800
"stops.txt" "stop_name" "BRIGHTON&460 BR" 811
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.
497 "0:114" "Garage"
unknown_column INFO 1

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"stops.txt" "vehicle_type" 10