mi-kpd — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-24T03:29:35Z,
for the dataset file:///shared/mi-kpd_068b6107.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


  • PKP Szybka Kolej Miejska w Trójmieście Sp. z o.o.

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. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 1418
  • Shapes: 1418
  • Stops: 81
  • Trips: 1418

Specification Compliance report

3471 notices reported (0 errors, 3471 warnings, 0 infos)

Notice Code Severity Total
duplicate_route_name WARNING 1417

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

Only the first 50 of 1417 affected records are displayed below.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
2 "253994" 3 "253995" "SKM" "" 2 ""
2 "253994" 4 "253996" "SKM" "" 2 ""
2 "253994" 5 "253997" "SKM" "" 2 ""
2 "253994" 6 "253998" "SKM" "" 2 ""
2 "253994" 7 "254000" "SKM" "" 2 ""
2 "253994" 8 "254001" "SKM" "" 2 ""
2 "253994" 9 "254002" "SKM" "" 2 ""
2 "253994" 10 "254003" "SKM" "" 2 ""
2 "253994" 11 "254004" "SKM" "" 2 ""
2 "253994" 12 "254005" "SKM" "" 2 ""
2 "253994" 13 "254006" "SKM" "" 2 ""
2 "253994" 14 "254007" "SKM" "" 2 ""
2 "253994" 15 "254008" "SKM" "" 2 ""
2 "253994" 16 "254009" "SKM" "" 2 ""
2 "253994" 17 "254010" "SKM" "" 2 ""
2 "253994" 18 "254011" "SKM" "" 2 ""
2 "253994" 19 "254012" "SKM" "" 2 ""
2 "253994" 20 "254013" "SKM" "" 2 ""
2 "253994" 21 "254014" "SKM" "" 2 ""
2 "253994" 22 "254015" "SKM" "" 2 ""
2 "253994" 23 "254016" "SKM" "" 2 ""
2 "253994" 24 "254017" "SKM" "" 2 ""
2 "253994" 25 "254018" "SKM" "" 2 ""
2 "253994" 26 "254019" "SKM" "" 2 ""
2 "253994" 27 "254020" "SKM" "" 2 ""
2 "253994" 28 "254021" "SKM" "" 2 ""
2 "253994" 29 "254022" "SKM" "" 2 ""
2 "253994" 30 "254023" "SKM" "" 2 ""
2 "253994" 31 "254024" "SKM" "" 2 ""
2 "253994" 32 "254025" "SKM" "" 2 ""
2 "253994" 33 "254026" "SKM" "" 2 ""
2 "253994" 34 "254027" "SKM" "" 2 ""
2 "253994" 35 "254028" "SKM" "" 2 ""
2 "253994" 36 "254029" "SKM" "" 2 ""
2 "253994" 37 "254030" "SKM" "" 2 ""
2 "253994" 38 "254032" "SKM" "" 2 ""
2 "253994" 39 "254033" "SKM" "" 2 ""
2 "253994" 40 "254034" "SKM" "" 2 ""
2 "253994" 41 "254035" "SKM" "" 2 ""
2 "253994" 42 "254036" "SKM" "" 2 ""
2 "253994" 43 "254037" "SKM" "" 2 ""
2 "253994" 44 "254038" "SKM" "" 2 ""
2 "253994" 45 "254039" "SKM" "" 2 ""
2 "253994" 46 "254040" "SKM" "" 2 ""
2 "253994" 47 "254041" "SKM" "" 2 ""
2 "253994" 48 "254043" "SKM" "" 2 ""
2 "253994" 49 "254044" "SKM" "" 2 ""
2 "253994" 50 "254045" "SKM" "" 2 ""
2 "253994" 51 "254046" "SKM" "" 2 ""
2 "253994" 52 "254047" "SKM" "" 2 ""
expired_calendar WARNING 444

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.

Only the first 50 of 444 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "253994"
3 "253995"
4 "253996"
5 "253997"
6 "253998"
7 "254000"
8 "254001"
9 "254002"
10 "254003"
11 "254004"
12 "254005"
13 "254006"
14 "254007"
15 "254008"
16 "254009"
17 "254010"
18 "254011"
19 "254012"
20 "254013"
21 "254014"
22 "254015"
23 "254016"
24 "254017"
25 "254018"
26 "254019"
27 "254020"
28 "254021"
29 "254022"
30 "254023"
31 "254024"
32 "254025"
33 "254026"
34 "254027"
35 "254028"
36 "254029"
37 "254030"
38 "254032"
39 "254033"
40 "254034"
41 "254035"
42 "254036"
43 "254037"
44 "254038"
45 "254039"
46 "254040"
47 "254041"
48 "254043"
49 "254044"
50 "254045"
51 "254046"
missing_recommended_field WARNING 1418

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.

Only the first 50 of 1418 affected records are displayed below.

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"
"routes.txt" 4 "agency_id"
"routes.txt" 5 "agency_id"
"routes.txt" 6 "agency_id"
"routes.txt" 7 "agency_id"
"routes.txt" 8 "agency_id"
"routes.txt" 9 "agency_id"
"routes.txt" 10 "agency_id"
"routes.txt" 11 "agency_id"
"routes.txt" 12 "agency_id"
"routes.txt" 13 "agency_id"
"routes.txt" 14 "agency_id"
"routes.txt" 15 "agency_id"
"routes.txt" 16 "agency_id"
"routes.txt" 17 "agency_id"
"routes.txt" 18 "agency_id"
"routes.txt" 19 "agency_id"
"routes.txt" 20 "agency_id"
"routes.txt" 21 "agency_id"
"routes.txt" 22 "agency_id"
"routes.txt" 23 "agency_id"
"routes.txt" 24 "agency_id"
"routes.txt" 25 "agency_id"
"routes.txt" 26 "agency_id"
"routes.txt" 27 "agency_id"
"routes.txt" 28 "agency_id"
"routes.txt" 29 "agency_id"
"routes.txt" 30 "agency_id"
"routes.txt" 31 "agency_id"
"routes.txt" 32 "agency_id"
"routes.txt" 33 "agency_id"
"routes.txt" 34 "agency_id"
"routes.txt" 35 "agency_id"
"routes.txt" 36 "agency_id"
"routes.txt" 37 "agency_id"
"routes.txt" 38 "agency_id"
"routes.txt" 39 "agency_id"
"routes.txt" 40 "agency_id"
"routes.txt" 41 "agency_id"
"routes.txt" 42 "agency_id"
"routes.txt" 43 "agency_id"
"routes.txt" 44 "agency_id"
"routes.txt" 45 "agency_id"
"routes.txt" 46 "agency_id"
"routes.txt" 47 "agency_id"
"routes.txt" 48 "agency_id"
"routes.txt" 49 "agency_id"
"routes.txt" 50 "agency_id"
"routes.txt" 51 "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"
mixed_case_recommended_field WARNING 145

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 145 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" "GDYNIA GŁÓWNA" 15
"stops.txt" "stop_name" "GDYNIA CHYLONIA" 22
"stops.txt" "stop_name" "GDAŃSK OSOWA" 30
"stops.txt" "stop_name" "GDAŃSK GŁÓWNY" 45
"stops.txt" "stop_name" "GDAŃSK WRZESZCZ" 48
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 8
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 25
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 26
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 68
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 69
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 70
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 71
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 72
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 73
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 135
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 136
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 137
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 172
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 191
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 230
"trips.txt" "trip_headsign" "GDYNIA GŁÓWNA" 232
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 258
"trips.txt" "trip_headsign" "GDYNIA GŁÓWNA" 276
"trips.txt" "trip_headsign" "GDYNIA GŁÓWNA" 277
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 299
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 313
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 314
"trips.txt" "trip_headsign" "GDYNIA GŁÓWNA" 315
"trips.txt" "trip_headsign" "GDYNIA GŁÓWNA" 316
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 339
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 470
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 471
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 517
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 518
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 519
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 575
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 576
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 603
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 605
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 607
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 608
"trips.txt" "trip_headsign" "GDAŃSK GŁÓWNY" 659
"trips.txt" "trip_headsign" "GDYNIA GŁÓWNA" 713
"trips.txt" "trip_headsign" "GDYNIA GŁÓWNA" 714
"trips.txt" "trip_headsign" "GDYNIA GŁÓWNA" 715
"trips.txt" "trip_headsign" "GDYNIA GŁÓWNA" 716
"trips.txt" "trip_headsign" "GDYNIA GŁÓWNA" 717
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 758
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 759
"trips.txt" "trip_headsign" "GDYNIA CHYLONIA" 760
stop_without_stop_time WARNING 46

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.
2 "4705" "SŁUPSK"
3 "4887" "Jezierzyce Słupskie"
4 "4895" "Damnica"
5 "4911" "Strzyżyno Słupskie"
6 "4929" "Głuszyno Pomorskie"
7 "4937" "Potęgowo"
9 "5363" "Pogorzelice"
10 "5371" "Leśnice"
30 "6122" "GDAŃSK OSOWA"
31 "6130" "Gdynia Wielki Kack"
36 "7062" "Różyny"
37 "7070" "Skowarcz"
38 "7088" "Pszczółki"
39 "7096" "Miłobądz"
40 "7112" "TCZEW"
41 "7245" "Gdańsk Lipce"
42 "7252" "Gdańsk Orunia"
43 "7302" "Pruszcz Gdański"
44 "7328" "Cieplewo"
52 "17509" "KOŚCIERZYNA"
53 "17731" "Skorzewo"
54 "17749" "Gołubie Kaszubskie"
55 "17756" "Krzeszna"
56 "17764" "Wieżyca"
57 "17772" "Sławki"
58 "17780" "Somonino"
59 "17798" "Kiełpino Kartuskie"
60 "17822" "Babi Dół"
61 "17848" "Borkowo"
62 "17855" "Żukowo Wschodnie"
63 "17863" "Pępowo Kartuskie"
64 "17871" "Rębiechowo"
65 "18002" "KARTUZY"
66 "117168" "Dzierżążno"
70 "257521" "Gdańsk Rębiechowo"
71 "257530" "Gdańsk Port Lotniczy"
72 "257531" "Gdańsk Matarnia"
73 "257532" "Gdańsk Jasień"
74 "257533" "Gdańsk Brętowo"
75 "257534" "Gdańsk Niedźwiednik"
76 "257535" "Gdańsk Strzyża"
77 "257540" "Gdańsk Firoga"
78 "257542" "Gdańsk Kiełpinek"
79 "257551" "Żukowo"
81 "260710" "Gdynia Stadion"
82 "260711" "Gdynia Karwiny"