busitalia-veneto — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-09-02T18:00:06Z,
for the dataset file:///shared/busitalia-veneto_c37ffd2c.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
AMTS Catania S.p.A
Feed Email:
N/A
Feed Language:
Italian
Feed Start Date:
2026-08-06
Feed End Date:
2026-09-04

Files included


  1. agency.txt
  2. calendar_dates.txt
  3. feed_info.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts


  • Agencies: 2
  • Blocks: 0
  • Routes: 78
  • Shapes: 455
  • Stops: 5970
  • Trips: 10807

Specification Compliance report

41214 notices reported (0 errors, 32104 warnings, 9110 infos)

Notice Code Severity Total
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.
1938 "570287" "267" 157.03459297992075 0.21810360136100101 212018 30 "9897" "U01113" "19:50:25" 212019 31 "9898" "U01114" "19:50:30"
1938 "570287" "267" 158.51448906015403 0.2641908151002567 212019 31 "9898" "U01114" "19:50:30" 212020 32 "11356" "U01115" "19:50:36"
8478 "570291" "267" 157.03459297992075 0.21810360136100101 211967 30 "9897" "U01113" "16:00:25" 211968 31 "9898" "U01114" "16:00:30"
8478 "570291" "267" 158.51448906015403 0.2641908151002567 211968 31 "9898" "U01114" "16:00:30" 211969 32 "11356" "U01115" "16:00:36"
5744 "570338" "267" 157.03459297992075 0.21810360136100101 235138 30 "9897" "U01113" "14:30:25" 235139 31 "9898" "U01114" "14:30:30"
5744 "570338" "267" 158.51448906015403 0.2641908151002567 235139 31 "9898" "U01114" "14:30:30" 235140 32 "11356" "U01115" "14:30:36"
4091 "568518" "180" 152.6387819598976 1.144790864699232 38976 7 "8746" "E0704r" "06:32:36" 38977 8 "6675" "E0703r" "06:33:03"
3649 "567188" "180" 152.6387819598976 1.144790864699232 38976 7 "8746" "E0704r" "06:32:36" 38977 8 "6675" "E0703r" "06:33:03"
1931 "570311" "267" 157.03459297992075 0.21810360136100101 14082 30 "9897" "U01113" "15:35:25" 14083 31 "9898" "U01114" "15:35:30"
1931 "570311" "267" 158.51448906015403 0.2641908151002567 14083 31 "9898" "U01114" "15:35:30" 14084 32 "11356" "U01115" "15:35:36"
6557 "570267" "267" 157.03459297992075 0.21810360136100101 133570 30 "9897" "U01113" "20:35:25" 133571 31 "9898" "U01114" "20:35:30"
6557 "570267" "267" 158.51448906015403 0.2641908151002567 133571 31 "9898" "U01114" "20:35:30" 133572 32 "11356" "U01115" "20:35:36"
feed_expiration_date7_days WARNING 1

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20260902" "20260904" "20260909"
leading_or_trailing_whitespaces WARNING 1

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"stops.txt" 3563 "stop_desc" "I.T.I.S. F. VIOLA "
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
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"
missing_timepoint_value WARNING 25351

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 25351 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`.
271812 "TPD_36813" 1
271813 "TPD_36813" 5
271814 "TPD_36813" 10
271815 "TPD_36813" 14
271816 "TPD_36813" 18
271817 "TPD_36813" 21
271818 "TPD_36813" 23
271819 "TPD_36813" 25
271820 "TPD_36813" 27
271821 "TPD_36813" 29
271822 "TPD_36813" 32
271823 "TPD_36813" 34
271824 "TPD_36813" 37
271825 "TPD_36813" 42
271826 "TPD_36813" 48
271827 "TPD_36813" 51
271828 "TPD_36813" 53
271829 "TPD_36813" 55
271830 "TPD_36813" 58
271831 "TPD_36813" 60
271832 "TPD_36813" 64
271833 "TPD_36813" 66
271834 "TPD_36813" 69
271835 "TPD_36813" 70
271836 "TPD_36813" 72
271837 "TPD_36814" 1
271838 "TPD_36814" 2
271839 "TPD_36814" 5
271840 "TPD_36814" 7
271841 "TPD_36814" 11
271842 "TPD_36814" 13
271843 "TPD_36814" 16
271844 "TPD_36814" 18
271845 "TPD_36814" 20
271846 "TPD_36814" 23
271847 "TPD_36814" 29
271848 "TPD_36814" 34
271849 "TPD_36814" 37
271850 "TPD_36814" 39
271851 "TPD_36814" 42
271852 "TPD_36814" 44
271853 "TPD_36814" 46
271854 "TPD_36814" 48
271855 "TPD_36814" 50
271856 "TPD_36814" 53
271857 "TPD_36814" 57
271858 "TPD_36814" 59
271859 "TPD_36814" 64
271860 "TPD_36814" 68
271861 "TPD_36814" 70
mixed_case_recommended_field WARNING 3946

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 3946 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.
"agency.txt" "agency_name" "BUSITALIA VENETO spa" 2
"routes.txt" "route_long_name" "PADOVA-MONTEORTONE" 2
"routes.txt" "route_long_name" "PADOVA-ABANO-TORREGLIA" 3
"routes.txt" "route_long_name" "PADOVA-ABANO-TORREGLIA-LUVIGLIANO" 4
"routes.txt" "route_long_name" "CAVARZERE-PADOVA" 5
"routes.txt" "route_long_name" "CANTARANA-PADOVA" 6
"routes.txt" "route_long_name" "PIOVE DI SACCO-CAMPAGNOLA-PADOVA" 7
"routes.txt" "route_long_name" "AGRIPOLIS-PADOVA" 8
"routes.txt" "route_long_name" "CA'BIANCA-PADOVA" 9
"routes.txt" "route_long_name" "SOTTOMARINA-PIOVE DI SACCO" 10
"routes.txt" "route_long_name" "PIOVE DI SACCO-PADOVA" 11
"routes.txt" "route_long_name" "ESTE-ARQUA'PETRARCA-TORREGLIA-PADOVA" 12
"routes.txt" "route_long_name" "POZZONOVO-PADOVA" 13
"routes.txt" "route_long_name" "BADIA POLESINE-ESTE" 14
"routes.txt" "route_long_name" "BADIA POLESINE-CASTELBALDO-ESTE" 15
"routes.txt" "route_long_name" "LENDINARA-ESTE" 16
"routes.txt" "route_long_name" "VIGHIZZOLO-ESTE" 17
"routes.txt" "route_long_name" "ESTE-PADOVA" 18
"routes.txt" "route_long_name" "MONTAGNANA-ESTE" 19
"routes.txt" "route_long_name" "VENEZIA-TESSERA" 20
"routes.txt" "route_long_name" "PADOVA-VENEZIA" 21
"routes.txt" "route_long_name" "PADOVA-MONSELICE-ROVIGO" 22
"routes.txt" "route_long_name" "NOVENTA VICENTINA-VO'-PADOVA" 23
"routes.txt" "route_long_name" "VALBONA-PADOVA" 24
"routes.txt" "route_long_name" "BARBARANO VICENTINO-PADOVA" 25
"routes.txt" "route_long_name" "CERVARESE-MONTEMERLO-PADOVA" 26
"routes.txt" "route_long_name" "PADOVA-CITTADELLA-BASSANO" 27
"routes.txt" "route_long_name" "CERVARESE-MONTEGALDELLA-PADOVA" 28
"routes.txt" "route_long_name" "CITTADELLA-VILLA DEL CONTE-PADOVA" 29
"routes.txt" "route_long_name" "CAMISANO-VILLAGUATTERA-PADOVA" 30
"routes.txt" "route_long_name" "AGNA-CONSELVE-POZZONOVO-ESTE" 31
"routes.txt" "route_long_name" "AGNA-CONSELVE-PERNUMIA-ESTE" 32
"routes.txt" "route_long_name" "AGNA-CANDIANA-PADOVA" 33
"routes.txt" "route_long_name" "TREBASELEGHE-BORGORICCO-PADOVA" 34
"routes.txt" "route_long_name" "SAN PIETRO IN GU'-CAMISANO-PADOVA" 35
"routes.txt" "route_long_name" "ZEMINIANA-BORGORICCO-PADOVA" 36
"routes.txt" "route_long_name" "CERVARESE-BASTIA-VO'-ESTE" 37
"routes.txt" "route_long_name" "PADOVA-NOALE" 38
"routes.txt" "route_long_name" "NOALE-TREVISO" 39
"routes.txt" "route_long_name" "PADOVA-TESSERA" 40
"routes.txt" "route_long_name" "TESSERA-JESOLO" 41
"routes.txt" "route_long_name" "AGNA-BAGNOLI-PADOVA" 42
"routes.txt" "route_long_name" "DUE CARRARE-PADOVA" 43
"routes.txt" "route_long_name" "CAVARZERE-PONTELONGO-ZONA INDUSTRIALE-PADOVA-066" 44
"routes.txt" "route_long_name" "LOVA-BOJON-PADOVA" 45
"routes.txt" "route_long_name" "STRA-NOVENTA PADOVANA-PADOVA" 46
"routes.txt" "route_long_name" "CITTADELLA-CARMIGNANO-PADOVA" 47
"routes.txt" "route_long_name" "ROSARA-PIOVE DI SACCO" 48
"routes.txt" "route_long_name" "PADOVA-VICENZA" 49
"routes.txt" "route_long_name" "NOALE-CAMPOSAMPIERO" 50
stop_too_far_from_shape WARNING 2

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.
562 "116439" "561544" 179436 "6461" "E1081r" [45.28608400000001,11.824562999999998] 132.13463439247013
9126 "TPD_CapsSCro" "TPD_38450" 287570 "TPD_26" "CAVALLETTO" [45.395472000000005,11.872975000000004] 254.66412794616923
stop_without_stop_time WARNING 2762

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.

Only the first 50 of 2762 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
3 "5846" "R0234r"
4 "5847" "R0237r"
5 "5848" "R0238r"
6 "5849" "R0252r"
7 "5850" "R0257r"
8 "5851" "R0268r"
9 "5852" "R0278r"
10 "5853" "R0289r"
11 "5854" "R0304r"
12 "5855" "R0309r"
13 "5856" "R0313r"
14 "5857" "R0314r"
15 "5858" "R0325r"
16 "5859" "R0341r"
17 "5860" "R0349r"
18 "5861" "R0366r"
19 "5862" "R0383r"
20 "5863" "R0384r"
21 "5864" "R0395r"
22 "5865" "R0396r"
23 "5866" "R0436r"
24 "5867" "R0472r"
25 "5868" "R0478r"
26 "5869" "R0482r"
27 "5870" "R0492r"
31 "5874" "E00721"
32 "5875" "E00722"
33 "5876" "E00723"
34 "5877" "E00735"
53 "5896" "R11275"
54 "5897" "R11276"
55 "5898" "R1127r"
56 "5899" "R11319"
57 "5900" "R11325"
58 "5901" "R11334"
59 "5902" "R11356"
60 "5903" "R11360"
61 "5904" "R11368"
62 "5905" "R11385"
63 "5906" "R11386"
64 "5907" "R1139r"
65 "5908" "R11405"
66 "5909" "R11411"
67 "5910" "R1143r"
68 "5911" "R1161r"
69 "5912" "R1172r"
70 "5913" "R1176r"
71 "5914" "R1179r"
72 "5915" "R1195r"
73 "5916" "R12013"
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.
"20260902" "20260806" "20260904"
unusable_trip WARNING 13

unusable_trip

Trips must have more than one stop to be usable.

A trip must visit more than one stop in stop_times.txt to be usable by passengers for boarding and alighting.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's id.
9222 "TPD_39104"
9389 "TPD_38708"
9479 "TPD_37916"
9654 "TPD_37511"
9672 "TPD_38205"
9681 "TPD_37152"
9815 "TPD_38274"
9915 "TPD_39005"
9916 "TPD_38803"
9933 "TPD_37456"
9939 "TPD_37320"
10438 "TPD_38657"
10602 "TPD_38342"
unused_trip WARNING 13

unused_trip

Trip is not be used in stop_times.txt

Trips should be referred to at least once in stop_times.txt.

You can see more about this notice here.

tripId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"TPD_39104" 9222
"TPD_38708" 9389
"TPD_37916" 9479
"TPD_37511" 9654
"TPD_38205" 9672
"TPD_37152" 9681
"TPD_38274" 9815
"TPD_39005" 9915
"TPD_38803" 9916
"TPD_37456" 9933
"TPD_37320" 9939
"TPD_38657" 10438
"TPD_38342" 10602
service_window_outside_feed_period INFO 2

service_window_outside_feed_period

A service window is not covered by the feed's validity period.

You can see more about this notice here.

serviceId (?) The service_id whose active window extends outside the feed validity period. serviceWindowStartDate (?) The first active date of the service window. serviceWindowEndDate (?) The last active date of the service window. daysBeforeFeedStart (?) Number of days the service window extends before feed_start_date (0 if none). daysAfterFeedEnd (?) Number of days the service window extends after feed_end_date (0 if none).
"TPD_2" "2026-09-06" "2026-09-27" 0 23
"TPD_1" "2026-09-01" "2026-10-01" 0 27
trip_with_shape_dist_traveled_but_no_shape_distances INFO 9108

trip_with_shape_dist_traveled_but_no_shape_distances

A trip has shape_dist_traveled values in stop_times.txt but the shape referenced by the trip's shape_id does not have shape_dist_traveled values on all of its points in shapes.txt.

When stop times define distance values but the shape does not carry matching distances on every point, consumers cannot use those distances to align stops to the shape geometry reliably. This inconsistency may cause incorrect routing or display behaviour.

Note: Only the first stop time carrying a shape_dist_traveled value is referenced in the notice; this is a representative row rather than an exhaustive list.

You can see more about this notice here.

Only the first 50 of 9108 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record in trips.txt. tripId (?) The trip_id of the faulty trip. shapeId (?) The shape_id referenced by the trip. stopTimeCsvRowNumber (?) The row number of the first stop_times.txt record for this trip that contains a shape_dist_traveled value. Provided as a representative location; other stop times for the same trip may also carry distance values.
8618 "562730" "116284" 109196
753 "561400" "116278" 22521
3241 "561401" "116293" 22389
8938 "562731" "116285" 109149
7662 "562734" "116387" 223260
5011 "561403" "116197" 22419
3558 "561404" "116196" 22385
5971 "562736" "116389" 223135
6806 "562735" "116388" 223217
6416 "562737" "116390" 223262
6915 "562739" "116332" 223206
8838 "562740" "116333" 223247
7022 "562743" "116217" 223112
72 "562742" "116218" 223154
6211 "562745" "116392" 223258
899 "562744" "116391" 223177
7843 "562749" "116314" 57666
8707 "562748" "116313" 57538
596 "561419" "116313" 213476
7293 "562752" "116357" 57717
4340 "561420" "116485" 213568
3446 "562751" "116313" 57486
5570 "561421" "116486" 213528
3877 "562754" "116358" 57590
677 "561423" "116314" 213607
8296 "562755" "116314" 57615
2998 "562758" "116297" 137987
7466 "562759" "116292" 138136
7969 "562761" "116368" 138031
7627 "562760" "116367" 137960
7712 "560100" "116202" 99457
8881 "562763" "116361" 138057
7683 "560101" "116199" 99313
7467 "560102" "116200" 99501
4732 "562765" "116289" 137989
8482 "560103" "116203" 99415
5360 "562764" "116363" 138097
8194 "560105" "116394" 99282
2986 "560106" "116397" 99391
6113 "560107" "116398" 99369
6583 "560108" "116395" 99251
4552 "559120" "116557" 91847
6360 "559121" "116569" 91674
5115 "559128" "116557" 91777
3095 "559129" "116569" 91606
4403 "559126" "116566" 91432
7501 "559127" "116568" 91261
7082 "559124" "116557" 91812
2497 "559125" "116569" 91640
228 "559122" "116566" 91467