GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T18:59:10Z,
for the dataset file:///shared/gallup-express.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. fare_attributes.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. trips.txt

Counts

  • Agencies: 1
  • Blocks: 317
  • Routes: 22
  • Shapes: 129
  • Stops: 1809
  • Trips: 4395

Specification Compliance report

103352 notices reported (18 errors, 103334 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 18

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.

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.
"16119" 30368 0.1137 3 30367 0.1137 2 112.93333479805335
"16126" 12900 0.08 3 12899 0.08 2 79.40503286015597
"16583" 26220 0.0206 3 26219 0.0206 2 20.754839494111977
"16586" 25775 0.0206 3 25774 0.0206 2 20.754839494111977
"16464" 4150 0.167 3 4149 0.167 2 165.12964199802448
"16584" 26050 0.0347 3 26049 0.0347 2 34.453952670009166
"16227" 25019 0.047 3 25018 0.047 2 46.494603323003155
"16431" 20286 0.08 3 20285 0.08 2 79.40503286015597
"16159" 16416 0.167 3 16415 0.167 2 165.12964199802448
"16561" 1252 13.0608 236 1251 13.0608 235 7.007762695019711
"16561" 1255 13.0748 239 1254 13.0748 238 7.007762695019711
"16136" 19285 0.0206 3 19284 0.0206 2 20.754839494111977
"16255" 7701 13.0608 236 7700 13.0608 235 7.007762695019711
"16255" 7704 13.0748 239 7703 13.0748 238 7.007762695019711
"16534" 22867 0.047 3 22866 0.047 2 46.494603323003155
"16137" 19540 0.0347 3 19539 0.0347 2 34.453952670009166
"16140" 10799 0.0206 3 10798 0.0206 2 20.754839494111977
"16423" 2713 0.1137 3 2712 0.1137 2 112.93333479805335
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 2875

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 2875 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.
"16231" 20915 7.0731 78 20914 7.0731 77 0.14371002079007708
"16231" 20917 7.1254 80 20916 7.1254 79 0.14370969235742323
"16471" 188 4.1914 35 187 4.1914 34 0.11119510090982554
"16471" 193 4.792 40 192 4.792 39 0.11119510020250134
"16471" 203 4.9662 50 202 4.9662 49 0.22239020181965108
"16471" 209 5.0443 56 208 5.0443 55 0.11119510090982554
"16471" 212 5.4215 59 211 5.4215 58 0.11119510090982554
"16471" 215 5.8525 62 214 5.8525 61 0.14371136692449607
"16471" 217 5.8808 64 216 5.8808 63 0.5850328146547141
"16471" 225 6.0976 72 224 6.0976 71 0.11119510090982554
"16471" 228 6.2706 75 227 6.2706 74 0.14371389668840706
"16471" 231 6.672 78 230 6.672 77 0.14371628025010966
"16471" 234 6.7135 81 233 6.7135 80 0.11119510090982554
"16471" 236 6.7302 83 235 6.7302 82 0.22239020181965108
"16471" 241 6.7959 88 240 6.7959 87 0.11119510090982554
"16471" 243 6.812 90 242 6.812 89 0.14371713341438513
"16471" 253 7.1804 100 252 7.1804 99 0.11119510090982554
"16471" 257 8.3864 104 256 8.3864 103 0.24031022814186012
"16471" 260 8.7294 107 259 8.7294 106 0.14372178646972006
"16471" 263 9.2595 110 262 9.2595 109 0.11119510090982554
"16471" 311 10.4247 158 310 10.4247 157 0.22239020181965108
"16470" 350 4.1914 35 349 4.1914 34 0.11119510090982554
"16470" 355 4.792 40 354 4.792 39 0.11119510020250134
"16470" 365 4.9662 50 364 4.9662 49 0.22239020181965108
"16470" 371 5.0443 56 370 5.0443 55 0.11119510090982554
"16470" 374 5.4215 59 373 5.4215 58 0.11119510090982554
"16470" 377 5.8525 62 376 5.8525 61 0.14371136692449607
"16470" 379 5.8808 64 378 5.8808 63 0.5850328146547141
"16470" 387 6.0976 72 386 6.0976 71 0.11119510090982554
"16234" 21451 0.1291 5 21450 0.1291 4 0.5559755066711003
"16232" 21390 6.5162 107 21389 6.5162 106 0.14370969235742323
"16232" 21392 6.5685 109 21391 6.5685 108 0.14371002079007708
"16519" 29193 14.6034 121 29192 14.6034 120 0.2402439571130301
"16119" 30371 0.3043 6 30370 0.3043 5 0.14363022483650154
"16119" 30373 0.3686 8 30372 0.3686 7 0.2402555246390894
"16119" 30376 0.5717 11 30375 0.5717 10 0.14363100092005154
"16119" 30381 0.8457 16 30380 0.8457 15 0.24025660854532524
"16119" 30384 0.9882 19 30383 0.9882 18 0.14363254416165133
"16119" 30386 1.0767 21 30385 1.0767 20 0.14363264742119822
"16119" 30389 1.1567 24 30388 1.1567 23 0.14363265803004088
"16119" 30391 1.3287 26 30390 1.3287 25 0.24025694661092772
"16119" 30394 1.4601 29 30393 1.4601 28 0.24025691067135527
"16119" 30397 1.6428 32 30396 1.6428 31 0.14363206235636886
"16119" 30400 1.8208 35 30399 1.8208 34 0.24025631043871018
"16119" 30402 1.9479 37 30401 1.9479 36 0.24025629714013208
"16119" 30405 2.2339 40 30404 2.2339 39 0.24025737830521215
"16119" 30408 2.324 43 30407 2.324 42 0.14363397491951324
"16119" 30411 2.527 46 30410 2.527 45 0.1436352585023701
"16119" 30413 2.619 48 30412 2.619 47 0.143635843201817
"16119" 30425 3.6611 60 30424 3.6611 59 0.14363868109844782
expired_calendar WARNING 8

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 "168.0.1"
3 "168.0.2"
4 "168.0.3"
5 "168.0.4"
6 "165.0.4"
7 "165.0.1"
8 "165.0.3"
9 "165.0.2"
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.
"fare_attributes.txt" 2 "agency_id"
"fare_attributes.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"
missing_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "586958" 1
3 "586958" 2
4 "586958" 3
5 "586958" 4
6 "586958" 5
7 "586958" 6
8 "586958" 7
9 "586958" 8
10 "586958" 9
11 "586958" 10
12 "586958" 11
13 "586958" 12
14 "586958" 13
15 "586958" 14
16 "586958" 15
17 "586958" 16
18 "586958" 17
19 "586958" 18
20 "586958" 19
21 "586958" 20
22 "586958" 21
23 "586958" 22
24 "586958" 23
25 "586958" 24
26 "586958" 25
27 "586958" 26
28 "586958" 27
29 "586958" 28
30 "586958" 29
31 "586958" 30
32 "586958" 31
33 "586958" 32
34 "586958" 33
35 "586958" 34
36 "586958" 35
37 "586958" 36
38 "586958" 37
39 "586958" 38
40 "586958" 39
41 "586958" 40
42 "586958" 41
43 "586958" 42
44 "586958" 43
45 "586958" 44
46 "586958" 45
47 "586958" 46
48 "586958" 47
49 "586958" 48
50 "587060" 1
51 "587060" 2
mixed_case_recommended_field WARNING 3

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.
"agency.txt" "agency_name" "ABQ RIDE" 2
"stops.txt" "stop_name" "98th @ 86th" 121
"stops.txt" "stop_name" "12th @ I-40" 622
stop_too_far_from_shape WARNING 4

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

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.
117 "16519" "586517" 4966 "704230186" "Wilshire @ La Cueva HS" [35.18152299999999,-106.555957] 109.07320773316212
1351 "16455" "586122" 66543 "3107" "Coors @ Rio Bravo" [35.027038,-106.71403700000002] 144.67998526570022
682 "16214" "580541" 33153 "704230186" "Wilshire @ La Cueva HS" [35.18152299999999,-106.555957] 109.07320773316212
1630 "16147" "579858" 80049 "3107" "Coors @ Rio Bravo" [35.027038,-106.71403700000002] 144.67998526570022
stop_too_far_from_shape_using_user_distance WARNING 210

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 210 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.
2451 "16470" "586421" 120764 "704230814" "118th @ Gayle" [35.03716027662719,-106.75431663927154] 628.458814232248
2451 "16470" "586421" 120765 "704230789" "Dennis Chavez @ 118th" [35.030183073772704,-106.7537680773258] 659.677860986319
2027 "16234" "581016" 99362 "5589" "8th @ Nuanes" [35.07497440876805,-106.65729567779675] 273.76998047285053
2027 "16234" "581016" 99363 "5591" "8th @ Bridge" [35.07302231971688,-106.65707078252737] 268.20888622306177
2027 "16234" "581016" 99364 "704230681" "Bridge @ 8th" [35.071680456272546,-106.65627621648197] 204.50337261946413
2027 "16234" "581016" 99365 "704230779" "Bridge @ La Vega" [35.069683014559075,-106.6600570535093] 282.13666093793523
2027 "16234" "581016" 99366 "5557" "Isleta @ Bridge" [35.06897297529509,-106.6647294333063] 260.3018483468476
2027 "16234" "581016" 99367 "5559" "Isleta @ Sunbeam" [35.06781086434199,-106.66651161844231] 276.8327042358268
2027 "16234" "581016" 99368 "704230680" "Isleta @ Bletcher" [35.064208047382856,-106.66753428442401] 276.33460988006493
2027 "16234" "581016" 99369 "5563" "Isleta @ Nashville" [35.061864061338575,-106.66770442926313] 270.681397734649
2027 "16234" "581016" 99370 "5565" "Isleta @ Lopez" [35.05737077986503,-106.66820993195658] 230.81904250458385
2027 "16234" "581016" 99371 "5567" "Isleta @ Gatewood" [35.05606707928048,-106.66870162198859] 271.0852639447996
2027 "16234" "581016" 99372 "5569" "Isleta @ Soliz Court" [35.05525522901306,-106.67260145802399] 271.0273580758188
2027 "16234" "581016" 99373 "5427" "Isleta @ Arenal" [35.05400592374344,-106.67520205900298] 258.390005376086
2027 "16234" "581016" 99374 "5429" "Isleta @ Valdora" [35.05196727398495,-106.67769937028913] 276.9614256105244
2027 "16234" "581016" 99375 "704230347" "Isleta @ Starustka" [35.048486021891385,-106.67830151419092] 275.9721391545757
2027 "16234" "581016" 99376 "5433" "Isleta @ Centro Familiar" [35.04721886469273,-106.67853238335798] 275.32173178095746
2027 "16234" "581016" 99377 "5437" "Isleta @ Valley" [35.04349687585934,-106.67935749052478] 275.71838325187355
2027 "16234" "581016" 99378 "5387" "Isleta @ Blake" [35.0403470671876,-106.6794858906371] 275.2032393524213
2027 "16234" "581016" 99379 "5389" "Isleta @ Val Verde" [35.03770688202246,-106.67949087865055] 277.4082392660681
2027 "16234" "581016" 99380 "704230343" "Isleta @ Shadyside" [35.035190037254935,-106.67947718626434] 275.902327341542
2027 "16234" "581016" 99381 "704230341" "Isleta @ Barcelona" [35.0328080903226,-106.67948892903007] 273.5766240464048
2027 "16234" "581016" 99382 "704230839" "Isleta @ Rio Bravo" [35.03030460692407,-106.67970900632486] 275.9955010121215
2027 "16234" "581016" 99383 "5453" "Isleta @ Del Sur" [35.027927678738145,-106.68018079318142] 276.06769090411706
2027 "16234" "581016" 99384 "5455" "Isleta @ Clinton" [35.02473297537934,-106.68091201406554] 276.3542629744031
2027 "16234" "581016" 99385 "5457" "Isleta @ Camino Del Valle" [35.02044184831561,-106.68277687493773] 276.5876081486699
2027 "16234" "581016" 99386 "5459" "Isleta @ Cottrell Lane" [35.01864612529795,-106.68359412418775] 276.3167125832371
2027 "16234" "581016" 99387 "5461" "Isleta @ Lakeview" [35.01691395132155,-106.684383488445] 276.5623852543927
2027 "16234" "581016" 99388 "5463" "Isleta @ Gunclub" [35.01383424930795,-106.68602731703493] 276.47821466790117
2027 "16234" "581016" 99389 "5465" "Isleta @ Sunshine" [35.00967015384822,-106.68800176925443] 275.7315599593752
2027 "16234" "581016" 99390 "5467" "Isleta @ Muniz" [35.00307809017115,-106.69057051644293] 275.2634578403511
2027 "16234" "581016" 99391 "5469" "Isleta @ Torres (CNM South Campus)" [34.99843982147198,-106.69214458957954] 277.1593121001842
2027 "16234" "581016" 99392 "704230414" "Isleta @ Mayflower" [34.99672619175742,-106.69321411936284] 276.05342468416416
2027 "16234" "581016" 99393 "5473" "Isleta @ Don Felipe" [34.99267793891968,-106.6945806270441] 273.7836922235062
2027 "16234" "581016" 99394 "5475" "Isleta @ Pajarito" [34.98941812963984,-106.69565877535956] 276.14206922881664
2027 "16234" "581016" 99395 "5477" "Isleta @ Margo" [34.985882084415685,-106.696630649392] 277.3712973538342
2027 "16234" "581016" 99396 "704230519" "Isleta @ Raymac" [34.979589997119454,-106.69672984291951] 273.459385115063
2027 "16234" "581016" 99397 "704230798" "Isleta @ Markham" [34.97622808196975,-106.69669789084585] 275.54541671679226
2027 "16234" "581016" 99398 "5483" "Isleta @ Taylor" [34.97478588365728,-106.69670482068474] 275.6264912738084
2027 "16234" "581016" 99399 "5485" "Isleta @ Cherry Tree" [34.97234503174643,-106.69622449577483] 275.65147391070417
2027 "16234" "581016" 99400 "5487" "Isleta @ Paul" [34.96681535097703,-106.69558664358651] 275.39676583029143
2027 "16234" "581016" 99401 "5489" "Isleta @ Luchetti" [34.96424411051682,-106.69548021038324] 276.76541835637994
2027 "16234" "581016" 99402 "704230679" "Isleta @ Celeste" [34.961887030363755,-106.69571902506063] 276.3967325440457
2027 "16234" "581016" 99403 "5491" "Isleta @ Los Padillas" [34.95965790000001,-106.69591795908347] 276.79717039695726
2027 "16234" "581016" 99404 "5493" "Isleta @ Rays Ct" [34.95589138700512,-106.69566368096088] 276.83839598032847
2027 "16234" "581016" 99405 "5495" "Isleta @ Malpais" [34.95383044906778,-106.69513059293156] 276.99177802994
117 "16519" "586517" 4925 "1090" "Wyoming @ Lomas" [35.085055379244764,-106.55047079429801] 298.76444211722634
117 "16519" "586517" 4926 "1091" "Wyoming @ Mountain" [35.08920464807721,-106.55063656061111] 298.28227729654697
117 "16519" "586517" 4927 "1092" "Wyoming @ Constitution" [35.091664850000335,-106.55070609997854] 297.3625095292841
117 "16519" "586517" 4928 "1093" "Wyoming @ Constitution" [35.09362511428573,-106.55071758573094] 297.9675335941091
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.
"20260123" "20240210" "20241018"
trip_distance_exceeds_shape_distance_below_threshold WARNING 230

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 230 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.
"587632" "16554" 22.4848 22.4745 4.170012235550806
"582218" "16249" 22.4848 22.4745 4.170012235550806
"582219" "16249" 22.4848 22.4745 4.170012235550806
"582212" "16249" 22.4848 22.4745 4.170012235550806
"582213" "16249" 22.4848 22.4745 4.170012235550806
"582211" "16249" 22.4848 22.4745 4.170012235550806
"582216" "16249" 22.4848 22.4745 4.170012235550806
"582217" "16249" 22.4848 22.4745 4.170012235550806
"582214" "16249" 22.4848 22.4745 4.170012235550806
"582215" "16249" 22.4848 22.4745 4.170012235550806
"587621" "16554" 22.4848 22.4745 4.170012235550806
"587547" "16554" 22.4848 22.4745 4.170012235550806
"587700" "16554" 22.4848 22.4745 4.170012235550806
"582234" "16249" 22.4848 22.4745 4.170012235550806
"582235" "16249" 22.4848 22.4745 4.170012235550806
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