GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 5.0.1 at 2024-06-08T04:00:27Z,
for the dataset file:///tmp/1_in.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


  • STAR

Feed Info


Publisher Name:
Keolis Rennes
Publisher URL:
https://data.explore.star.fr
Feed Language:
French
Feed Start Date:
2024-05-15
Feed End Date:
2024-07-07

Files included


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

Counts


  • Agencies: 1
  • Blocks: 13511
  • Routes: 155
  • Shapes: 527
  • Stops: 1700
  • Trips: 79393

GTFS Features included (?) GTFS features provide a standardized vocabulary to define and describe features that are officially adopted in GTFS.


Fares V1ShapesFeed InformationRoute ColorsHeadsignsWheelchair AccessibilityLocation Types

Specification Compliance report

8477 notices reported (0 errors, 8477 warnings, 0 infos)

Notice Code Severity Total
expired_calendar WARNING 37

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.
66 "23910000049"
2 "23910000001"
110 "23910000089"
56 "23910000004"
45 "23910000003"
78 "23910000006"
100 "23910000008"
89 "23910000007"
95 "23910000075"
97 "23910000077"
96 "23910000076"
17 "23910000112"
16 "23910000111"
98 "23910000078"
18 "23910000113"
21 "23910000116"
23 "23910000118"
12 "23910000108"
79 "23910000060"
81 "23910000062"
80 "23910000061"
83 "23910000064"
82 "23910000063"
85 "23910000066"
84 "23910000065"
86 "23910000067"
11 "23910000107"
69 "23910000051"
68 "23910000050"
71 "23910000053"
70 "23910000052"
73 "23910000055"
72 "23910000054"
75 "23910000057"
74 "23910000056"
77 "23910000059"
76 "23910000058"
feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

Dataset should cover at least the next 30 days of service.

At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally for as long as the operator is confident that the schedule will continue to be operated.

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 "20240608" "20240707" "20240708"
leading_or_trailing_whitespaces WARNING 8379

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.

Only the first 50 of 8379 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"trips.txt" 619 "trip_headsign" " Grand Quartier"
"trips.txt" 620 "trip_headsign" " Grand Quartier"
"trips.txt" 621 "trip_headsign" " Grand Quartier"
"trips.txt" 622 "trip_headsign" " Grand Quartier"
"trips.txt" 623 "trip_headsign" " Grand Quartier"
"trips.txt" 624 "trip_headsign" " Grand Quartier"
"trips.txt" 625 "trip_headsign" " Grand Quartier"
"trips.txt" 627 "trip_headsign" " Grand Quartier"
"trips.txt" 628 "trip_headsign" " Grand Quartier"
"trips.txt" 629 "trip_headsign" " Grand Quartier"
"trips.txt" 630 "trip_headsign" " Grand Quartier"
"trips.txt" 631 "trip_headsign" " Grand Quartier"
"trips.txt" 632 "trip_headsign" " Grand Quartier"
"trips.txt" 633 "trip_headsign" " Grand Quartier"
"trips.txt" 634 "trip_headsign" " Grand Quartier"
"trips.txt" 635 "trip_headsign" " Grand Quartier"
"trips.txt" 636 "trip_headsign" " Grand Quartier"
"trips.txt" 638 "trip_headsign" " Grand Quartier"
"trips.txt" 639 "trip_headsign" " Grand Quartier"
"trips.txt" 640 "trip_headsign" " Grand Quartier"
"trips.txt" 641 "trip_headsign" " Grand Quartier"
"trips.txt" 642 "trip_headsign" " Grand Quartier"
"trips.txt" 643 "trip_headsign" " Grand Quartier"
"trips.txt" 644 "trip_headsign" " Grand Quartier"
"trips.txt" 645 "trip_headsign" " Grand Quartier"
"trips.txt" 646 "trip_headsign" " Grand Quartier"
"trips.txt" 647 "trip_headsign" " Grand Quartier"
"trips.txt" 649 "trip_headsign" " Grand Quartier"
"trips.txt" 650 "trip_headsign" " Grand Quartier"
"trips.txt" 651 "trip_headsign" " Grand Quartier"
"trips.txt" 652 "trip_headsign" " Grand Quartier"
"trips.txt" 653 "trip_headsign" " Grand Quartier"
"trips.txt" 654 "trip_headsign" " Grand Quartier"
"trips.txt" 655 "trip_headsign" " Grand Quartier"
"trips.txt" 656 "trip_headsign" " Grand Quartier"
"trips.txt" 657 "trip_headsign" " Grand Quartier"
"trips.txt" 658 "trip_headsign" " Grand Quartier"
"trips.txt" 660 "trip_headsign" " Grand Quartier"
"trips.txt" 661 "trip_headsign" " Grand Quartier"
"trips.txt" 662 "trip_headsign" " Grand Quartier"
"trips.txt" 663 "trip_headsign" " Grand Quartier"
"trips.txt" 664 "trip_headsign" " Grand Quartier"
"trips.txt" 665 "trip_headsign" " Grand Quartier"
"trips.txt" 666 "trip_headsign" " Grand Quartier"
"trips.txt" 667 "trip_headsign" " Grand Quartier"
"trips.txt" 668 "trip_headsign" " Grand Quartier"
"trips.txt" 669 "trip_headsign" " Grand Quartier"
"trips.txt" 672 "trip_headsign" " Grand Quartier"
"trips.txt" 673 "trip_headsign" " Grand Quartier"
"trips.txt" 674 "trip_headsign" " Grand Quartier"
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_column WARNING 1

missing_recommended_column

A recommended column is missing in the input file.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the missing column.
"stop_times.txt" "timepoint"
mixed_case_recommended_field WARNING 16

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.
"routes.txt" "route_short_name" "152ex" 53
"routes.txt" "route_short_name" "153ex" 54
"routes.txt" "route_short_name" "154ex" 55
"routes.txt" "route_short_name" "155ex" 56
"routes.txt" "route_short_name" "156ex" 57
"routes.txt" "route_short_name" "159ex" 58
"routes.txt" "route_short_name" "161ex" 59
"routes.txt" "route_short_name" "164ex" 60
"routes.txt" "route_short_name" "165ex" 61
"routes.txt" "route_short_name" "167ex" 62
"routes.txt" "route_short_name" "168ex" 63
"routes.txt" "route_short_name" "172ex" 64
"routes.txt" "route_short_name" "173ex" 65
"routes.txt" "route_short_name" "175ex" 66
"routes.txt" "route_short_name" "178ex" 67
"stops.txt" "stop_name" "DGA-MI" 795
stop_too_far_from_shape WARNING 42

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.
23915 "0011-B-1230-1242" "23910031699" 682340 "1230" "Jardin Moderne" [48.102234,-1.726123] 179.88636580316145
23915 "0011-B-1230-1242" "23910031699" 682344 "1508" "Berthault" [48.10695237969294,-1.7238614164085786] 392.0311897261598
7135 "0007-A-2377-2361" "23910016418" 197639 "2361" "Bruz Centre" [48.023471,-1.7438609999999999] 126.85493149156282
76546 "0201-B-1614-3301-1429" "23910079553" 1590302 "1614" "Assomption" [48.127742000000005,-1.6509479999999999] 766.7877183749628
29357 "0240-A-3717-2502" "23910036597" 747578 "4322" "L'Hermitage Centre" [48.13060953674556,-1.8169272990373684] 583.8628174927496
29357 "0240-A-3717-2502" "23910036597" 747579 "4305" "Village" [48.123154,-1.8056119999999998] 469.99343925149526
78872 "0064-A-2101-2140" "23910009528" 1637058 "2044" "Belle Fontaine" [48.127615,-1.621002] 247.1262241717429
78872 "0064-A-2101-2140" "23910009528" 1637059 "2045" "Atalante" [48.127815,-1.6210359999999997] 544.6359855254859
78872 "0064-A-2101-2140" "23910009528" 1637060 "2003" "Cesson Hôpital Privé" [48.13001850802855,-1.6210238589452286] 519.7057699202398
56460 "0466-B-2534-3736" "23910006099" 1221841 "4323" "Verdais" [48.12997300000001,-1.828346] 405.01620709084744
56460 "0466-B-2534-3736" "23910006099" 1221842 "4263" "Pont Harel" [48.129825586961914,-1.8283798448625679] 1229.3047292725391
56460 "0466-B-2534-3736" "23910006099" 1221843 "4271" "Champ Rouget" [48.129777,-1.828391] 1559.27109264855
56460 "0466-B-2534-3736" "23910006099" 1221844 "4259" "Cherterie" [48.12997300000001,-1.828346] 2067.093386535848
56460 "0466-B-2534-3736" "23910006099" 1221845 "3735" "Pierre Blanche" [48.149054,-1.8389100000000003] 2577.549557765022
56460 "0466-B-2534-3736" "23910006099" 1221846 "3736" "Pierre Blanche" [48.149768,-1.8394659999999996] 2656.8103288971215
31921 "0052-A-4069-1497" "23910038904" 769880 "4051" "Bersandières" [48.17872968163667,-1.729690191789731] 297.31727568812744
76665 "0201-B-1614-3301-1710" "23910079660" 1591945 "1614" "Assomption" [48.127742000000005,-1.6509479999999999] 766.7877183749628
76665 "0201-B-1614-3301-1710" "23910079660" 1591949 "1710" "Joliot-Curie - Chateaubriand" [48.127742000000005,-1.6509479999999999] 354.4714808190548
2220 "0004-B-1168-1630" "23910011995" 69945 "1313" "Beaulieu - Université" [48.119211,-1.6352330000000002] 402.9956113078307
26918 "0202-B-1614-2401" "23910034400" 721815 "1614" "Assomption" [48.12134699999999,-1.6549610000000001] 267.0099556681646
26918 "0202-B-1614-2401" "23910034400" 721822 "1710" "Joliot-Curie - Chateaubriand" [48.124843224658306,-1.6530868688923217] 121.04227530867914
23331 "0011-A-1208-3751" "23910031156" 664271 "1702" "TNB" [48.107519,-1.674528] 130.2602945902344
23331 "0011-A-1208-3751" "23910031156" 664259 "1728" "Berthault" [48.106148302279806,-1.7237726273999252] 414.5808905762374
13396 "0011-B-1234-1746" "23910022052" 417331 "1703" "TNB" [48.10740070185688,-1.6747712080560777] 146.0705958627546
22387 "0007-B-2361-2376" "23910030306" 647539 "2361" "Bruz Centre" [48.023471,-1.7438609999999999] 126.85493149156282
76550 "0201-B-1710-3301" "23910079557" 1590352 "1710" "Joliot-Curie - Chateaubriand" [48.127742000000005,-1.6509479999999999] 354.4714808190548
29444 "0240-A-3732-2502" "23910036675" 748466 "4322" "L'Hermitage Centre" [48.13060953674556,-1.8169272990373684] 583.8628174927496
29444 "0240-A-3732-2502" "23910036675" 748467 "4305" "Village" [48.123154,-1.8056119999999998] 469.99343925149526
12829 "0011-A-1746-1222" "23910021542" 397860 "1702" "TNB" [48.107519,-1.674528] 130.2602945902344
24162 "0122-A-1090-1065-1743" "23910031920" 690332 "1467" "Le Blosne" [48.087112038782266,-1.6508009999999997] 222.09218697698
33679 "0054-B-2502-1567" "23910040486" 819478 "2548" "Clos Joury" [48.099289387833295,-1.8022067749970732] 131.44853254035485
33679 "0054-B-2502-1567" "23910040486" 819480 "2545" "Trémelière" [48.10025734681377,-1.8050827582004263] 386.5416973360085
33679 "0054-B-2502-1567" "23910040486" 819481 "2546" "Platanes" [48.10179796483656,-1.795805560115868] 234.62915949471272
34511 "0054-A-1567-2519" "23910041234" 838180 "2543" "Platanes" [48.101855,-1.795749] 237.92776308068238
34511 "0054-A-1567-2519" "23910041234" 838181 "2544" "Trémelière" [48.10032124887555,-1.8052858433178935] 400.3204082333429
34511 "0054-A-1567-2519" "23910041234" 838182 "2547" "Clos Joury" [48.09933748673428,-1.8023496538388035] 123.84014834547773
76539 "0201-A-3305-1007" "23910079547" 1590205 "1005" "Mirabeau" [48.128034686100214,-1.6492005413645676] 573.1984842367018
76539 "0201-A-3305-1007" "23910079547" 1590206 "1006" "Turmel" [48.127742000000005,-1.6509479999999999] 606.4284785212387
76539 "0201-A-3305-1007" "23910079547" 1590207 "1007" "Assomption" [48.127742000000005,-1.6509479999999999] 763.0117421925738
76089 "0226-A-3502-3162" "23910079141" 1583094 "3502" "Pierre Texier" [48.155748,-1.71661] 297.19353704927477
29342 "0240-A-3705-2502" "23910036583" 747472 "4322" "L'Hermitage Centre" [48.13060953674556,-1.8169272990373684] 583.8628174927496
29342 "0240-A-3705-2502" "23910036583" 747473 "4305" "Village" [48.123154,-1.8056119999999998] 469.99343925149526