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lkp-lviv — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-27T22:22:55Z,
for the dataset file:///shared/lkp-lviv_2fc788f3.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Львівавтодор
Feed Email:
N/A
Feed Language:
Ukrainian
Feed Start Date:
2026-03-16
Feed End Date:
2027-03-16

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: 7
  • Blocks: 1414
  • Routes: 76
  • Shapes: 440
  • Stops: 1028
  • Trips: 16452

Specification Compliance report

457 notices reported (70 errors, 387 warnings, 0 infos)

Notice Code Severity Total
block_trips_with_overlapping_stop_times ERROR 70

block_trips_with_overlapping_stop_times

Trips with the same block id have overlapping stop times.

You can see more about this notice here.

Only the first 50 of 70 affected records are displayed below.

csvRowNumberA (?) The row number from `trips.txt` of the first faulty trip. tripIdA (?) The id of first faulty trip. serviceIdA (?) The service id of the first faulty trip. csvRowNumberB (?) The row number from `trips.txt` of the second faulty trip. tripIdB (?) The id of the other faulty trip. serviceIdB (?) The service id of the other faulty trip. blockId (?) The `trips.block_id` of the overlapping trip. intersection (?) The overlapping period.
9413 "30070_0_1" "31" 9412 "30070_0_0" "31" "30070" "20260316"
9415 "30070_1_1" "31" 9414 "30070_1_0" "31" "30070" "20260316"
9417 "30070_2_1" "31" 9416 "30070_2_0" "31" "30070" "20260316"
9419 "30070_3_1" "31" 9418 "30070_3_0" "31" "30070" "20260316"
9421 "30070_4_1" "31" 9420 "30070_4_0" "31" "30070" "20260316"
9423 "30070_5_1" "31" 9422 "30070_5_0" "31" "30070" "20260316"
9389 "30068_0_1" "31" 9388 "30068_0_0" "31" "30068" "20260316"
9391 "30068_1_1" "31" 9390 "30068_1_0" "31" "30068" "20260316"
9393 "30068_2_1" "31" 9392 "30068_2_0" "31" "30068" "20260316"
9395 "30068_3_1" "31" 9394 "30068_3_0" "31" "30068" "20260316"
9397 "30068_4_1" "31" 9396 "30068_4_0" "31" "30068" "20260316"
9399 "30068_5_1" "31" 9398 "30068_5_0" "31" "30068" "20260316"
9375 "30067_0_1" "31" 9374 "30067_0_0" "31" "30067" "20260316"
9377 "30067_1_1" "31" 9376 "30067_1_0" "31" "30067" "20260316"
9379 "30067_2_1" "31" 9378 "30067_2_0" "31" "30067" "20260316"
9381 "30067_3_1" "31" 9380 "30067_3_0" "31" "30067" "20260316"
9383 "30067_4_1" "31" 9382 "30067_4_0" "31" "30067" "20260316"
9385 "30067_5_1" "31" 9384 "30067_5_0" "31" "30067" "20260316"
9387 "30067_6_1" "31" 9386 "30067_6_0" "31" "30067" "20260316"
9401 "30069_0_1" "31" 9400 "30069_0_0" "31" "30069" "20260316"
9403 "30069_1_1" "31" 9402 "30069_1_0" "31" "30069" "20260316"
9405 "30069_2_1" "31" 9404 "30069_2_0" "31" "30069" "20260316"
9407 "30069_3_1" "31" 9406 "30069_3_0" "31" "30069" "20260316"
9409 "30069_4_1" "31" 9408 "30069_4_0" "31" "30069" "20260316"
9411 "30069_5_1" "31" 9410 "30069_5_0" "31" "30069" "20260316"
9361 "30066_0_1" "31" 9360 "30066_0_0" "31" "30066" "20260316"
9363 "30066_1_1" "31" 9362 "30066_1_0" "31" "30066" "20260316"
9365 "30066_2_1" "31" 9364 "30066_2_0" "31" "30066" "20260316"
9367 "30066_3_1" "31" 9366 "30066_3_0" "31" "30066" "20260316"
9369 "30066_4_1" "31" 9368 "30066_4_0" "31" "30066" "20260316"
9371 "30066_5_1" "31" 9370 "30066_5_0" "31" "30066" "20260316"
9373 "30066_6_1" "31" 9372 "30066_6_0" "31" "30066" "20260316"
9347 "30065_0_1" "31" 9346 "30065_0_0" "31" "30065" "20260316"
9349 "30065_1_1" "31" 9348 "30065_1_0" "31" "30065" "20260316"
9351 "30065_2_1" "31" 9350 "30065_2_0" "31" "30065" "20260316"
9353 "30065_3_1" "31" 9352 "30065_3_0" "31" "30065" "20260316"
9355 "30065_4_1" "31" 9354 "30065_4_0" "31" "30065" "20260316"
9357 "30065_5_1" "31" 9356 "30065_5_0" "31" "30065" "20260316"
9359 "30065_6_1" "31" 9358 "30065_6_0" "31" "30065" "20260316"
9441 "30130_0_1" "224" 9440 "30130_0_0" "224" "30130" "20260321"
9443 "30130_1_1" "224" 9442 "30130_1_0" "224" "30130" "20260321"
9445 "30130_2_1" "224" 9444 "30130_2_0" "224" "30130" "20260321"
9447 "30130_3_1" "224" 9446 "30130_3_0" "224" "30130" "20260321"
9449 "30130_4_1" "224" 9448 "30130_4_0" "224" "30130" "20260321"
9451 "30130_5_1" "224" 9450 "30130_5_0" "224" "30130" "20260321"
9453 "30130_6_1" "224" 9452 "30130_6_0" "224" "30130" "20260321"
9455 "30130_7_1" "224" 9454 "30130_7_0" "224" "30130" "20260321"
9473 "30132_0_1" "224" 9472 "30132_0_0" "224" "30132" "20260321"
9475 "30132_1_1" "224" 9474 "30132_1_0" "224" "30132" "20260321"
9477 "30132_2_1" "224" 9476 "30132_2_0" "224" "30132" "20260321"
equal_shape_distance_same_coordinates WARNING 28

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`.
"3896" 15118 6572.237504092076 67 15117 6572.237504092076 66
"6939" 49554 0.0 1 49553 0.0 0
"3425" 12215 4912.014549170823 60 12214 4912.014549170823 59
"6953" 52308 12177.052960229545 150 52307 12177.052960229545 149
"6971" 53881 0.0 1 53880 0.0 0
"6965" 53460 11619.84010556904 155 53459 11619.84010556904 154
"6726" 39759 18576.397681734277 157 39758 18576.397681734277 156
"3593" 13982 14888.09229860135 177 13981 14888.09229860135 176
"6992" 55642 6997.620456310855 96 55641 6997.620456310855 95
"3477" 13029 6206.462684917659 60 13028 6206.462684917659 59
"6988" 55038 11619.84010556904 155 55037 11619.84010556904 154
"7515" 62926 12177.052960229545 150 62925 12177.052960229545 149
"7550" 66532 2792.49758803852 41 66531 2792.49758803852 40
"105" 2022 0.0 1 2021 0.0 0
"16" 596 17210.06892764305 201 595 17210.06892764305 200
"17" 815 17210.06892764305 201 814 17210.06892764305 200
"6139" 30013 0.0 1 30012 0.0 0
"8214" 70930 3978.9690580682127 50 70929 3978.9690580682127 49
"7498" 61293 6456.042416770168 97 61292 6456.042416770168 96
"8218" 71118 4559.228844091576 53 71117 4559.228844091576 52
"8234" 72211 0.0 1 72210 0.0 0
"8237" 72903 0.0 1 72902 0.0 0
"6062" 23465 6502.807757819941 101 23464 6502.807757819941 100
"6062" 23466 6502.807757819941 102 23465 6502.807757819941 101
"6077" 24362 6502.807757819941 101 24361 6502.807757819941 100
"6077" 24363 6502.807757819941 102 24362 6502.807757819941 101
"1740" 5861 5490.560369228147 57 5860 5490.560369228147 56
"8155" 70592 4634.238722087851 72 70591 4634.238722087851 71
fast_travel_between_consecutive_stops WARNING 12

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
9294 "29938_2_1" "122" 174.46023768371563 8.723011884185782 210127 131 "2551825" "Малехів, Кобилянської (1211)" "15:36:00" 210128 132 "2551851" "Зашків, Млинівка (1236)" "15:38:00"
9286 "29937_3_1" "122" 174.46023768371563 8.723011884185782 209895 189 "2551825" "Малехів, Кобилянської (1211)" "15:36:00" 209896 190 "2551851" "Зашків, Млинівка (1236)" "15:38:00"
9275 "29936_1_1" "122" 174.46023768371563 8.723011884185782 209574 73 "2551825" "Малехів, Кобилянської (1211)" "09:16:00" 209575 74 "2551851" "Зашків, Млинівка (1236)" "09:18:00"
9273 "29936_0_1" "122" 174.46023768371563 8.723011884185782 209516 15 "2551825" "Малехів, Кобилянської (1211)" "07:21:00" 209517 16 "2551851" "Зашків, Млинівка (1236)" "07:23:00"
9279 "29936_3_1" "122" 174.46023768371563 8.723011884185782 209690 189 "2551825" "Малехів, Кобилянської (1211)" "17:01:00" 209691 190 "2551851" "Зашків, Млинівка (1236)" "17:03:00"
9288 "29937_4_1" "122" 174.46023768371563 8.723011884185782 209953 247 "2551825" "Малехів, Кобилянської (1211)" "18:36:00" 209954 248 "2551851" "Зашків, Млинівка (1236)" "18:38:00"
9277 "29936_2_1" "122" 174.46023768371563 8.723011884185782 209632 131 "2551825" "Малехів, Кобилянської (1211)" "14:26:00" 209633 132 "2551851" "Зашків, Млинівка (1236)" "14:28:00"
9292 "29938_1_1" "122" 174.46023768371563 8.723011884185782 210069 73 "2551825" "Малехів, Кобилянської (1211)" "11:16:00" 210070 74 "2551851" "Зашків, Млинівка (1236)" "11:18:00"
9284 "29937_2_1" "122" 174.46023768371563 8.723011884185782 209837 131 "2551825" "Малехів, Кобилянської (1211)" "11:16:00" 209838 132 "2551851" "Зашків, Млинівка (1236)" "11:18:00"
9280 "29937_0_1" "122" 174.46023768371563 8.723011884185782 209721 15 "2551825" "Малехів, Кобилянської (1211)" "06:41:00" 209722 16 "2551851" "Зашків, Млинівка (1236)" "06:43:00"
9290 "29938_0_1" "122" 174.46023768371563 8.723011884185782 210011 15 "2551825" "Малехів, Кобилянської (1211)" "08:36:00" 210012 16 "2551851" "Зашків, Млинівка (1236)" "08:38:00"
9282 "29937_1_1" "122" 174.46023768371563 8.723011884185782 209779 73 "2551825" "Малехів, Кобилянської (1211)" "08:36:00" 209780 74 "2551851" "Зашків, Млинівка (1236)" "08:38:00"
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
mixed_case_recommended_field WARNING 1

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" "ПЛ. СОБОРНА" 864
route_color_contrast WARNING 74

route_color_contrast

Insufficient route color contrast.

A route's color and route_text_color should be contrasting.

You can see more about this notice here.

Only the first 50 of 74 affected records are displayed below.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeColor (?) The faulty record's HTML route color. routeTextColor (?) The faulty record's HTML route text color.
"88" 2 "#556B2F" "#556B2F"
"90" 3 "#556B2F" "#556B2F"
"91" 4 "#556B2F" "#556B2F"
"92" 5 "#F003F0" "#F003F0"
"93" 6 "#556B2F" "#556B2F"
"94" 7 "#556B2F" "#556B2F"
"95" 8 "#556B2F" "#556B2F"
"96" 9 "#556B2F" "#556B2F"
"97" 10 "#556B2F" "#556B2F"
"98" 11 "#28FFFF" "#28FFFF"
"99" 12 "#FFFFFF" "#FFFFFF"
"101" 14 "#556B2F" "#556B2F"
"102" 15 "#556B2F" "#556B2F"
"103" 16 "#556B2F" "#556B2F"
"104" 17 "#556B2F" "#556B2F"
"105" 18 "#556B2F" "#556B2F"
"106" 19 "#556B2F" "#556B2F"
"107" 20 "#556B2F" "#556B2F"
"108" 21 "#556B2F" "#556B2F"
"109" 22 "#556B2F" "#556B2F"
"110" 23 "#556B2F" "#556B2F"
"112" 25 "#556B2F" "#556B2F"
"113" 26 "#556B2F" "#556B2F"
"114" 27 "#556B2F" "#556B2F"
"115" 28 "#556B2F" "#556B2F"
"117" 29 "#556B2F" "#556B2F"
"118" 30 "#556B2F" "#556B2F"
"119" 31 "#556B2F" "#556B2F"
"121" 32 "#FFFFFF" "#FFFFFF"
"122" 33 "#556B2F" "#556B2F"
"123" 34 "#556B2F" "#556B2F"
"124" 35 "#556B2F" "#556B2F"
"125" 36 "#FFFFFF" "#FFFFFF"
"126" 37 "#556B2F" "#556B2F"
"128" 38 "#000000" "#000000"
"131" 39 "#556B2F" "#556B2F"
"132" 40 "#FFFFFF" "#FFFFFF"
"133" 41 "#FFFFFF" "#FFFFFF"
"134" 42 "#FFFFFF" "#FFFFFF"
"135" 43 "#556B2F" "#556B2F"
"138" 44 "#556B2F" "#556B2F"
"141" 45 "#556B2F" "#556B2F"
"143" 46 "#556B2F" "#556B2F"
"146" 47 "#556B2F" "#556B2F"
"147" 48 "#FFFFFF" "#FFFFFF"
"176" 49 "#FFFFFF" "#FFFFFF"
"182" 50 "#AFCB1F" "#AFCB1F"
"878" 51 "#FFFFFF" "#FFFFFF"
"881" 52 "#FFFFFF" "#FFFFFF"
"903" 53 "#FFFFFF" "#FFFFFF"
stop_too_far_from_shape WARNING 9

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.
329 "6929" "25139_0_1" 6025 "4564" "Чигиринська (575)" [49.87199,24.05226] 269.45343199535705
42 "6922" "21575_0_1" 947 "42750" "Воля Гамулецька, Зелена (1327)" [49.92772999999999,23.99025] 140.7019280079147
44 "6924" "21575_1_1" 991 "2552150" "Воля Гамулецька, Центр (1326)" [49.92772999999999,23.99025] 140.55333306154515
44 "6924" "21575_1_1" 992 "42750" "Воля Гамулецька, Зелена (1327)" [49.92772999999999,23.99025] 140.7019280079147
9296 "6937" "29939_0_1" 210172 "2551815" "Зарудці, Церква (1276)" [49.972840000000005,23.989370000000005] 1093.994492735849
9296 "6937" "29939_0_1" 210175 "2551836" "Зашків, ЦНАП (1229)" [49.95478,24.008100000000002] 529.892146939916
9296 "6937" "29939_0_1" 210176 "2551838" "Зашків, Музей Коновальця (1233)" [49.95478,24.008100000000002] 1266.0689181512246
9296 "6937" "29939_0_1" 210177 "2551852" "Зашків, ЦНАП (1230)" [49.95478,24.008100000000002] 450.45793148979203
13479 "7643" "31076_0_0" 340613 "44075" "Пасічна (285)" [49.83522000000747,24.06787200036876] 116.64366196607186
stop_without_stop_time WARNING 7

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.
554 "2560925" "Гаврилишина (308)"
555 "2562712" "Пластова (345)"
556 "4942" "Польова (343)"
560 "2560964" "Новознесенська (271)"
566 "2560927" "Польова (344)"
567 "2562713" "Пластова (346)"
568 "2560926" "Гаврилишина (309)"
stops_match_shape_out_of_order WARNING 1

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

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. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
6639 "7951" "29359_0_1" 145985 "2560991" "Монгольська (732)" [49.850660040060845,24.079409359033548] 145984 "4922" "Богданівська (213)" [49.83997117052266,24.08394387169499]
unused_shape WARNING 254

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.

Only the first 50 of 254 affected records are displayed below.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"5" 2
"16" 395
"22" 854
"30" 1075
"36" 1086
"43" 1192
"46" 1350
"47" 1409
"88" 1441
"92" 1602
"101" 1648
"102" 1861
"105" 2021
"107" 2238
"110" 2417
"111" 2552
"114" 2715
"119" 2934
"120" 2956
"122" 3046
"123" 3092
"135" 3123
"140" 3241
"141" 3288
"153" 3356
"157" 3453
"164" 3539
"171" 3756
"172" 3868
"173" 3974
"174" 4205
"1605" 4432
"1646" 4443
"1647" 4464
"1709" 4494
"1712" 4676
"1713" 4887
"1718" 5109
"1719" 5290
"1739" 5566
"1740" 5804
"1741" 6034
"1773" 6273
"1774" 6641
"1803" 7190
"1804" 7344
"1904" 7757
"2014" 7848
"2015" 7976
"2026" 8113