GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T15:34:58Z,
for the dataset file:///shared/export.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. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts

  • Agencies: 1
  • Blocks: 201
  • Routes: 16
  • Shapes: 140
  • Stops: 416
  • Trips: 656

Specification Compliance report

139 notices reported (0 errors, 139 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 1

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.
579 "1502" "15" 150.11829741959116 5.003943247319705 14015 6 "GEVLOTI2" "Gevry Lotissement" "07:45:00" 14016 7 "CHDFINA2" "Champdivers Rue du Finage" "07:46:00"
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 7

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" "rochefort sur nenon gros buisson" 27
"stops.txt" "stop_name" "amange abribus" 50
"stops.txt" "stop_name" "baverans grande rue" 55
"stops.txt" "stop_name" "11-nov" 198
"stops.txt" "stop_name" "11-nov" 199
"stops.txt" "stop_name" "champagney nilieu" 410
"agency.txt" "agency_name" "grandole-mobilités" 2
route_color_contrast WARNING 16

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.

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.
"1" 2 "#D82080" "#D82080"
"2" 3 "#008BC7" "#008BC7"
"3" 4 "#65B32E" "#65B32E"
"10" 5 "#009E3B" "#009E3B"
"11" 6 "#3FC0F0" "#3FC0F0"
"12" 7 "#8D9ED1" "#8D9ED1"
"13" 8 "#EE7AA2" "#EE7AA2"
"14" 9 "#B7382C" "#B7382C"
"15" 10 "#95817B" "#95817B"
"16" 11 "#00998B" "#00998B"
"17" 12 "#D8BE00" "#D8BE00"
"18" 13 "#A84191" "#A84191"
"20" 14 "#DEAA46" "#DEAA46"
"21" 15 "#814997" "#814997"
"22" 16 "#AFCB08" "#AFCB08"
"LZ" 17 "#EB9000" "#EB9000"
route_long_name_contains_short_name WARNING 16

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"1" 2 "1" "1"
"2" 3 "2" "2"
"3" 4 "3" "3"
"10" 5 "10" "10"
"11" 6 "11" "11"
"12" 7 "12" "12"
"13" 8 "13" "13"
"14" 9 "14" "14"
"15" 10 "15" "15"
"16" 11 "16" "16"
"17" 12 "17" "17"
"18" 13 "18" "18"
"20" 14 "20" "20"
"21" 15 "21" "21"
"22" 16 "22" "22"
"LZ" 17 "LZ" "LZ"
stop_without_stop_time WARNING 48

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.
27 "ROCGRBU2" "rochefort sur nenon gros buisson"
28 "FLXAGLO1" "Flexi agglo 1"
29 "FLXAGLO2" "Flexi agglo 2"
30 "FLXJOB1" "Flexi job 1"
36 "FLXJOB2" "Flexi job 2"
37 "FLXJPMR1" "Flexi pmr 1"
38 "FLXJPMR2" "Flexi pmr 2"
43 "FLXSENI1" "Flexi séniors 1"
44 "FLXSENI2" "Flexi séniors 2"
50 "AMAABRI1" "amange abribus"
52 "AMAECOL1" "AMANGE Ecole"
53 "ARCECOL1" "Archelange Ecole"
55 "BAVBAV1" "baverans grande rue"
60 "BAVPARC1" "Baverans lot.Parc"
62 "CHAECOL1" "Champvans Ecole"
70 "CHPECOL1" "Champdivers Ecole"
76 "DAMABBA1" "Damparis Park. Abbaye"
81 "DAMCASA1" "Damparis Casanova"
82 "DAMCOSA1" "Damparis Rue des Cosaques"
84 "DAMFLEU1" "Damparis Allée des Fleurs"
91 "DAMGABR1" "Damparis Rue Gabriel Péri"
106 "DAMHLMO1" "Damparis HLM Les Moules"
150 "DAMMOBE1" "Damparis Rue du Moulin (Carf Beauregard)"
171 "DAMMOPO1" "Damparis Rue du Moulin (Rd Point.)"
172 "DAMMOTE1" "Damparis Rue du Moulin (Cab tel.)"
206 "DAMPLAC1" "Damparis Place du 1er Mai (ecole primaire)"
226 "DAMROGE1" "Damparis Rue Roger Bride"
227 "DAMVIGN1" "Damparis Vignes"
250 "ARCEGLI1" "Archelange Eglise"
280 "ECOBEAU1" "Ecole Beauregard"
330 "ECOROCK1" "Ecole Rockfeller (sous-préfecture)"
348 "ECOWILS1" "Ecole Wilson (Bd Wilson)"
349 "GEVECOL1" "Gevry Ecole"
392 "GREECOL1" "Gredisans Ecole"
393 "JOUECOL1" "Jouhe Ecole"
394 "MOLECOL1" "Molay Ecole"
395 "MONECOL1" "Menotey Ecole Maternelle"
396 "ROCLOTI1" "Rochefort sur Nenon Lotissement"
397 "ROMECOL1" "Romange ECOLE"
398 "ROMECOL2" "Romange ECOLE"
399 "STAECOL1" "Saint-Aubin Ecoles (mat./prim.)"
400 "TAVJOLI1" "Tavaux Joliot"
401 "TAVPAST1" "Tavaux Pasteur"
402 "VALARRE1" "Val Fleury arrêt n 1"
403 "VALARRE2" "Val Fleury arrêt n 2"
404 "VALARRE3" "Val Fleury arrêt n 3"
405 "VALBAST1" "Bastié Val Fleury"
406 "VILECOL1" "Villette Les Dole Ecole"
unused_shape WARNING 50

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.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"4353" 15643
"4354" 15645
"4609" 15647
"4610" 15649
"4865" 15651
"4866" 15653
"5121" 15655
"5122" 15657
"5377" 16628
"5378" 16716
"5633" 16766
"5634" 16851
"5889" 16986
"5890" 17068
"5891" 17130
"6145" 17230
"6146" 17292
"6401" 17387
"6402" 17488
"6657" 17563
"6658" 17669
"6913" 17789
"6914" 17895
"6915" 18005
"6916" 18103
"7169" 18205
"7170" 18311
"7425" 18411
"7426" 18447
"7681" 18478
"7682" 18589
"7683" 18700
"7684" 18770
"7937" 19487
"7938" 19552
"8193" 19605
"8194" 19652
"8449" 19689
"8450" 19779
"8451" 19889
"8452" 19997
"8705" 20122
"8706" 20414
"8707" 20568
"8961" 20801
"8962" 20888
"9217" 20971
"9218" 21023
"9473" 21075
"9474" 21107