GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-22T14:05:57Z,
for the dataset file:///shared/centre-littoral.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
  9. trips_extensions.txt

Counts


  • Agencies: 0
  • Blocks: 0
  • Routes: 2
  • Shapes: 187
  • Stops: 127
  • Trips: 187

Specification Compliance report

11660 notices reported (4539 errors, 7119 warnings, 2 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 4538

equal_shape_distance_diff_coordinates

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than the 1.11m.

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 different coordinates indicate an error.

You can see more about this notice here.

Only the first 50 of 4538 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"24b9f294-bf22-49c2-8a84-63a40a41e152" 326 0.0 2 325 0.0 1 371.6537876702894
"24b9f294-bf22-49c2-8a84-63a40a41e152" 327 0.0 3 326 0.0 2 661.2171083145735
"24b9f294-bf22-49c2-8a84-63a40a41e152" 328 0.0 4 327 0.0 3 645.8206743625072
"24b9f294-bf22-49c2-8a84-63a40a41e152" 329 0.0 5 328 0.0 4 322.26126364773415
"24b9f294-bf22-49c2-8a84-63a40a41e152" 330 0.0 6 329 0.0 5 322.07538256097456
"24b9f294-bf22-49c2-8a84-63a40a41e152" 331 0.0 7 330 0.0 6 2128.447845201813
"24b9f294-bf22-49c2-8a84-63a40a41e152" 332 0.0 8 331 0.0 7 837.2985056547253
"24b9f294-bf22-49c2-8a84-63a40a41e152" 333 0.0 9 332 0.0 8 541.1844066909134
"24b9f294-bf22-49c2-8a84-63a40a41e152" 334 0.0 10 333 0.0 9 515.5814469138991
"24b9f294-bf22-49c2-8a84-63a40a41e152" 335 0.0 11 334 0.0 10 878.8123429752985
"24b9f294-bf22-49c2-8a84-63a40a41e152" 336 0.0 12 335 0.0 11 3735.662743778738
"24b9f294-bf22-49c2-8a84-63a40a41e152" 337 0.0 13 336 0.0 12 590.0514847314632
"24b9f294-bf22-49c2-8a84-63a40a41e152" 338 0.0 14 337 0.0 13 455.3997825695105
"24b9f294-bf22-49c2-8a84-63a40a41e152" 339 0.0 15 338 0.0 14 263.67291945143006
"24b9f294-bf22-49c2-8a84-63a40a41e152" 340 0.0 16 339 0.0 15 203.27965127088788
"24b9f294-bf22-49c2-8a84-63a40a41e152" 341 0.0 17 340 0.0 16 297.76173550910977
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 666 0.0 2 665 0.0 1 371.6537876702894
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 667 0.0 3 666 0.0 2 661.2171083145735
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 668 0.0 4 667 0.0 3 645.8206743625072
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 669 0.0 5 668 0.0 4 322.26126364773415
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 670 0.0 6 669 0.0 5 322.07538256097456
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 671 0.0 7 670 0.0 6 2128.447845201813
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 672 0.0 8 671 0.0 7 837.2985056547253
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 673 0.0 9 672 0.0 8 541.1844066909134
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 674 0.0 10 673 0.0 9 515.5814469138991
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 675 0.0 11 674 0.0 10 878.8123429752985
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 676 0.0 12 675 0.0 11 3735.662743778738
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 677 0.0 13 676 0.0 12 590.0514847314632
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 678 0.0 14 677 0.0 13 455.3997825695105
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 679 0.0 15 678 0.0 14 263.67291945143006
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 680 0.0 16 679 0.0 15 203.27965127088788
"8137d61e-e6c2-4821-ad1a-6e464b039b4b" 681 0.0 17 680 0.0 16 297.76173550910977
"1de67daf-786c-4549-97f9-fa81342d919a" 547 0.0 2 546 0.0 1 371.6537876702894
"1de67daf-786c-4549-97f9-fa81342d919a" 548 0.0 3 547 0.0 2 661.2171083145735
"1de67daf-786c-4549-97f9-fa81342d919a" 549 0.0 4 548 0.0 3 645.8206743625072
"1de67daf-786c-4549-97f9-fa81342d919a" 550 0.0 5 549 0.0 4 322.26126364773415
"1de67daf-786c-4549-97f9-fa81342d919a" 551 0.0 6 550 0.0 5 322.07538256097456
"1de67daf-786c-4549-97f9-fa81342d919a" 552 0.0 7 551 0.0 6 2128.447845201813
"1de67daf-786c-4549-97f9-fa81342d919a" 553 0.0 8 552 0.0 7 837.2985056547253
"1de67daf-786c-4549-97f9-fa81342d919a" 554 0.0 9 553 0.0 8 541.1844066909134
"1de67daf-786c-4549-97f9-fa81342d919a" 555 0.0 10 554 0.0 9 515.5814469138991
"1de67daf-786c-4549-97f9-fa81342d919a" 556 0.0 11 555 0.0 10 878.8123429752985
"1de67daf-786c-4549-97f9-fa81342d919a" 557 0.0 12 556 0.0 11 3735.662743778738
"1de67daf-786c-4549-97f9-fa81342d919a" 558 0.0 13 557 0.0 12 590.0514847314632
"1de67daf-786c-4549-97f9-fa81342d919a" 559 0.0 14 558 0.0 13 455.3997825695105
"1de67daf-786c-4549-97f9-fa81342d919a" 560 0.0 15 559 0.0 14 263.67291945143006
"1de67daf-786c-4549-97f9-fa81342d919a" 561 0.0 16 560 0.0 15 203.27965127088788
"1de67daf-786c-4549-97f9-fa81342d919a" 562 0.0 17 561 0.0 16 297.76173550910977
"6b6bbd42-c591-478b-b8b4-42b4c0208195" 105 0.0 2 104 0.0 1 371.6537876702894
"6b6bbd42-c591-478b-b8b4-42b4c0208195" 106 0.0 3 105 0.0 2 661.2171083145735
missing_required_field ERROR 1

missing_required_field

A required field is missing.

The given field has no value in some input row, even though values are required.

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.
"agency.txt" 2 "agency_url"
leading_or_trailing_whitespaces WARNING 99

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 99 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.
"stops.txt" 3 "stop_name" " Aéroport Félix Éboué"
"stops.txt" 42 "stop_name" " Aéroport F. Éboué"
"trips.txt" 87 "trip_short_name" " 07 SCO 78B"
"trips.txt" 88 "trip_short_name" " 07 SCO 76E"
"trips.txt" 89 "trip_short_name" " 07 SCO 74A EXPRESS"
"trips.txt" 90 "trip_short_name" " 07 SCO 72C"
"trips.txt" 91 "trip_short_name" " 07 SCO 70G"
"trips.txt" 92 "trip_short_name" " 07 SCO 68F"
"trips.txt" 93 "trip_short_name" " 07 SCO 66D"
"trips.txt" 94 "trip_short_name" " 07 SCO 64B"
"trips.txt" 95 "trip_short_name" " 07 SCO 22B"
"trips.txt" 96 "trip_short_name" " 07 SCO 20E"
"trips.txt" 97 "trip_short_name" " 07 SCO 18C"
"trips.txt" 98 "trip_short_name" " 07 SCO 16A EXPRESS"
"trips.txt" 99 "trip_short_name" " 07 SCO 14G"
"trips.txt" 100 "trip_short_name" " 07 SCO 12F"
"trips.txt" 101 "trip_short_name" " 07 SCO 10D"
"trips.txt" 102 "trip_short_name" " 07 SCO 08B"
"trips.txt" 103 "trip_short_name" " 07 SCO 06E"
"trips.txt" 104 "trip_short_name" " 07 SCO 04C"
"trips.txt" 105 "trip_short_name" " 07 SCO 02A EXPRESS"
"trips.txt" 106 "trip_short_name" " 07 SCO 75F"
"trips.txt" 107 "trip_short_name" " 07 SCO 73D"
"trips.txt" 108 "trip_short_name" " 07 SCO 71B"
"trips.txt" 109 "trip_short_name" " 07 SCO 69E"
"trips.txt" 111 "trip_short_name" " 07 SCO 65C"
"trips.txt" 112 "trip_short_name" " 07 SCO 63G"
"trips.txt" 113 "trip_short_name" " 07 SCO 61F"
"trips.txt" 114 "trip_short_name" " 07 SCO 59D"
"trips.txt" 115 "trip_short_name" " 07 SCO 57B"
"trips.txt" 117 "trip_short_name" " 07 SCO 53E"
"trips.txt" 118 "trip_short_name" " 07 SCO 51C"
"trips.txt" 119 "trip_short_name" " 07 SCO 62A EXPRESS"
"trips.txt" 120 "trip_short_name" " 07 SCO 60E"
"trips.txt" 121 "trip_short_name" " 07 SCO 58C"
"trips.txt" 122 "trip_short_name" " 07 SCO 56G"
"trips.txt" 123 "trip_short_name" " 07 SCO 54F"
"trips.txt" 124 "trip_short_name" " 07 SCO 52D"
"trips.txt" 125 "trip_short_name" " 07 VAC 41A"
"trips.txt" 126 "trip_short_name" " 07 VAC 39C"
"trips.txt" 127 "trip_short_name" " 07 VAC 37B"
"trips.txt" 128 "trip_short_name" " 07 VAC 35D"
"trips.txt" 129 "trip_short_name" " 07 VAC 33A"
"trips.txt" 130 "trip_short_name" " 07 VAC 31C"
"trips.txt" 131 "trip_short_name" " 07 VAC 29B"
"trips.txt" 132 "trip_short_name" " 07 VAC 27D"
"trips.txt" 133 "trip_short_name" " 07 VAC 25A"
"trips.txt" 134 "trip_short_name" " 07 VAC 23C"
"trips.txt" 135 "trip_short_name" " 07 VAC 21B"
"trips.txt" 136 "trip_short_name" " 07 VAC 19D"
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"
missing_timepoint_value WARNING 4799

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 4799 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`.
2 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 1
3 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 2
4 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 3
5 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 4
6 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 5
7 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 6
8 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 7
9 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 8
10 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 9
11 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 10
12 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 11
13 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 12
14 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 13
15 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 14
16 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 15
17 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 16
18 "06173fdc-b3b7-4d57-9604-a357d2ba31f1" 17
19 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 1
20 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 2
21 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 3
22 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 4
23 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 5
24 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 6
25 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 7
26 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 8
27 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 9
28 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 10
29 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 11
30 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 12
31 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 13
32 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 14
33 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 15
34 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 16
35 "a1f3037c-ae69-460d-b7bd-ef5c66717394" 17
36 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 1
37 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 2
38 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 3
39 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 4
40 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 5
41 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 6
42 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 7
43 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 8
44 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 9
45 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 10
46 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 11
47 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 12
48 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 13
49 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 14
50 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 15
51 "d26a4812-9f68-42b2-9c5c-80505c41bc71" 16
mixed_case_recommended_field WARNING 422

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 422 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" "CONCORDE LABRANCHE" 5
"stops.txt" "stop_name" "CONCORDE LABRANCHE" 6
"stops.txt" "stop_name" "CENTRE DE TRI EKOTRI" 7
"stops.txt" "stop_name" "CENTRE DE TRI EKOTRI" 8
"stops.txt" "stop_name" "LOT. FUSHIA" 9
"stops.txt" "stop_name" "LOT. FUSHIA" 10
"stops.txt" "stop_name" "CITE CONCORDE" 12
"stops.txt" "stop_name" "CITE CONCORDE" 13
"stops.txt" "stop_name" "CONCORDE GR SCOL" 14
"stops.txt" "stop_name" "CONCORDE GR SCOL" 15
"stops.txt" "stop_name" "LYCEE LEON GONTRAN DAMAS" 16
"stops.txt" "stop_name" "CHEMIN MORTIUM 1" 19
"stops.txt" "stop_name" "CHEMIN MORTIUM 1" 20
"stops.txt" "stop_name" "CHEMIN MORTIUM 2" 21
"stops.txt" "stop_name" "CHEMIN MORTIUM 2" 22
"stops.txt" "stop_name" "CHEMIN MORTIUM 3" 23
"stops.txt" "stop_name" "CHEMIN MORTIUM 3" 24
"stops.txt" "stop_name" "CENTRE PENITENTIAIRE1" 25
"stops.txt" "stop_name" "CENTRE PENITENTIAIRE2" 26
"stops.txt" "stop_name" "CENTRE PENITENTIAIRE3" 27
"stops.txt" "stop_name" "LE RANCH MATOURIENNE" 28
"stops.txt" "stop_name" "LE RANCH MATOURIENNE" 29
"stops.txt" "stop_name" "LA RHUMERIE" 30
"stops.txt" "stop_name" "LA RHUMERIE" 31
"stops.txt" "stop_name" "STADE MUNICIPAL DE MATOURY" 35
"stops.txt" "stop_name" "STADE MUNICIPAL DE MATOURY" 36
"stops.txt" "stop_name" "STADE EDMARD LAMA" 37
"stops.txt" "stop_name" "STADE EDMARD LAMA" 38
"stops.txt" "stop_name" "ECOLE ST MICHEL" 39
"stops.txt" "stop_name" "ECOLE ST MICHEL" 40
"stops.txt" "stop_name" "CONCORDE LABRANCHE" 44
"stops.txt" "stop_name" "CONCORDE LABRANCHE" 45
"stops.txt" "stop_name" "CENTRE DE TRI EKOTRI" 46
"stops.txt" "stop_name" "CENTRE DE TRI EKOTRI" 47
"stops.txt" "stop_name" "LOT. FUSHIA" 48
"stops.txt" "stop_name" "LOT. FUSHIA" 49
"stops.txt" "stop_name" "CONCORDE ZAC" 53
"stops.txt" "stop_name" "CONCORDE ZAC" 54
"stops.txt" "stop_name" "LYCEE LEON GONTRAN DAMAS" 55
"stops.txt" "stop_name" "CHEMIN MORTIUM 1" 58
"stops.txt" "stop_name" "CHEMIN MORTIUM 1" 59
"stops.txt" "stop_name" "CHEMIN MORTIUM 2" 60
"stops.txt" "stop_name" "CHEMIN MORTIUM 2" 61
"stops.txt" "stop_name" "CHEMIN MORTIUM 3" 62
"stops.txt" "stop_name" "CHEMIN MORTIUM 3" 63
"stops.txt" "stop_name" "CENTRE PENITENTIAIRE2" 65
"stops.txt" "stop_name" "STADE EDMARD LAMA" 75
"stops.txt" "stop_name" "STADE EDMARD LAMA" 76
"trips.txt" "trip_headsign" "10 SCO 38A" 2
"trips.txt" "trip_short_name" "10 SCO 38A" 2
non_ascii_or_non_printable_char WARNING 1792

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

Only the first 50 of 1792 affected records are displayed below.

filename (?) Name of the faulty file. csvRowNumber (?) Row number of the faulty record. columnName (?) Name of the column where the error occurred. fieldValue (?) Faulty value.
"calendar_dates.txt" 2 "service_id" "Période scolaire"
"calendar_dates.txt" 3 "service_id" "Période scolaire"
"calendar_dates.txt" 4 "service_id" "Période scolaire"
"calendar_dates.txt" 5 "service_id" "Période scolaire"
"calendar_dates.txt" 6 "service_id" "Période scolaire"
"calendar_dates.txt" 7 "service_id" "Période scolaire"
"calendar_dates.txt" 8 "service_id" "Période scolaire"
"calendar_dates.txt" 9 "service_id" "Période scolaire"
"calendar_dates.txt" 10 "service_id" "Période scolaire"
"calendar_dates.txt" 11 "service_id" "Période scolaire"
"calendar_dates.txt" 12 "service_id" "Période scolaire"
"calendar_dates.txt" 13 "service_id" "Période scolaire"
"calendar_dates.txt" 14 "service_id" "Période scolaire"
"calendar_dates.txt" 15 "service_id" "Période scolaire"
"calendar_dates.txt" 16 "service_id" "Période scolaire"
"calendar_dates.txt" 17 "service_id" "Période scolaire"
"calendar_dates.txt" 18 "service_id" "Période scolaire"
"calendar_dates.txt" 19 "service_id" "Période scolaire"
"calendar_dates.txt" 20 "service_id" "Période scolaire"
"calendar_dates.txt" 21 "service_id" "Période scolaire"
"calendar_dates.txt" 22 "service_id" "Période scolaire"
"calendar_dates.txt" 23 "service_id" "Période scolaire"
"calendar_dates.txt" 24 "service_id" "Période scolaire"
"calendar_dates.txt" 25 "service_id" "Période scolaire"
"calendar_dates.txt" 26 "service_id" "Période scolaire"
"calendar_dates.txt" 27 "service_id" "Période scolaire"
"calendar_dates.txt" 28 "service_id" "Période scolaire"
"calendar_dates.txt" 29 "service_id" "Période scolaire"
"calendar_dates.txt" 30 "service_id" "Période scolaire"
"calendar_dates.txt" 31 "service_id" "Période scolaire"
"calendar_dates.txt" 32 "service_id" "Période scolaire"
"calendar_dates.txt" 33 "service_id" "Période scolaire"
"calendar_dates.txt" 34 "service_id" "Période scolaire"
"calendar_dates.txt" 35 "service_id" "Période scolaire"
"calendar_dates.txt" 36 "service_id" "Période scolaire"
"calendar_dates.txt" 37 "service_id" "Période scolaire"
"calendar_dates.txt" 38 "service_id" "Période scolaire"
"calendar_dates.txt" 39 "service_id" "Période scolaire"
"calendar_dates.txt" 40 "service_id" "Période scolaire"
"calendar_dates.txt" 41 "service_id" "Période scolaire"
"calendar_dates.txt" 42 "service_id" "Période scolaire"
"calendar_dates.txt" 43 "service_id" "Période scolaire"
"calendar_dates.txt" 44 "service_id" "Période scolaire"
"calendar_dates.txt" 45 "service_id" "Période scolaire"
"calendar_dates.txt" 46 "service_id" "Période scolaire"
"calendar_dates.txt" 47 "service_id" "Période scolaire"
"calendar_dates.txt" 48 "service_id" "Période scolaire"
"calendar_dates.txt" 49 "service_id" "Période scolaire"
"calendar_dates.txt" 50 "service_id" "Période scolaire"
"calendar_dates.txt" 51 "service_id" "Période scolaire"
route_long_name_contains_short_name WARNING 2

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`.
"LIGNE-10" 2 "Ligne 10" "Ligne 10"
"1" 3 "Ligne 7" "Ligne 7"
stop_without_stop_time WARNING 4

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 "ESM1" "Ecole Saint Michel"
41 "STDM1" "Stade de Matoury"
114 "82" "PROGT"
116 "84" "Ranch"
unknown_file INFO 1

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"trips_extensions.txt"
unused_station INFO 1

unused_station

Unused station.

A stop has location_type STATION (1) but does not appear in any stop's parent_station.

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.
32 "STA-STP-SERV1" "SERVAIR"