kentkart-kocaeli — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-08T01:19:59Z,
for the dataset file:///shared/kentkart-kocaeli_b7c26c07.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. routes.txt
  4. shapes.txt
  5. stop_times.txt
  6. stops.txt
  7. trips.txt

Counts


  • Agencies: 34
  • Blocks: 0
  • Routes: 416
  • Shapes: 787
  • Stops: 0
  • Trips: 47138

Specification Compliance report

161612 notices reported (105614 errors, 55998 warnings, 0 infos)

Notice Code Severity Total
invalid_character ERROR 4

invalid_character

This field contains invalid characters, such as the replacement character ("�").

Check that text was properly encoded in UTF-8 as required by GTFS.

You can see more about this notice here.

filename (?) The name of the file containing the invalid characters. csvRowNumber (?) The row number in the CSV file where the invalid characters were found. fieldName (?) The name of the field containing the invalid characters. fieldValue (?) The value of the field containing the invalid characters.
"stops.txt" 3334 "stop_name" "YE��İLIRMAK CADDESİ 1"
"stops.txt" 3924 "stop_name" "TİCARET ODASI VAKFI MESLEKİ VE TEKNİK ANADOLU LİSES�� 1"
"stops.txt" 7572 "stop_name" "KİRAZO��LU KÜLTÜR EVİ"
"stops.txt" 7701 "stop_name" "TOYLAR CAM�� 2"
invalid_time ERROR 5610

invalid_time

A field cannot be parsed as time.

Time must be in the H:MM:SS, HH:MM:SS or HHH:MM:SS format.

Example: 14:30:00 for 2:30PM or 25:35:00 for 1:35AM on the next day.

You can see more about this notice here.

Only the first 50 of 5610 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.
"stop_times.txt" 884379 "arrival_time" "-11:12:13"
"stop_times.txt" 884379 "departure_time" "-11:12:13"
"stop_times.txt" 884380 "arrival_time" "-11:26:57"
"stop_times.txt" 884380 "departure_time" "-11:26:57"
"stop_times.txt" 884381 "arrival_time" "-11:41:44"
"stop_times.txt" 884381 "departure_time" "-11:41:44"
"stop_times.txt" 884382 "arrival_time" "-11:56:37"
"stop_times.txt" 884382 "departure_time" "-11:56:37"
"stop_times.txt" 884383 "arrival_time" "-10:11:37"
"stop_times.txt" 884383 "departure_time" "-10:11:37"
"stop_times.txt" 884384 "arrival_time" "-10:26:15"
"stop_times.txt" 884384 "departure_time" "-10:26:15"
"stop_times.txt" 884385 "arrival_time" "-10:40:35"
"stop_times.txt" 884385 "departure_time" "-10:40:35"
"stop_times.txt" 884386 "arrival_time" "-10:54:40"
"stop_times.txt" 884386 "departure_time" "-10:54:40"
"stop_times.txt" 884387 "arrival_time" "-9:08:38"
"stop_times.txt" 884387 "departure_time" "-9:08:38"
"stop_times.txt" 884388 "arrival_time" "-9:22:21"
"stop_times.txt" 884388 "departure_time" "-9:22:21"
"stop_times.txt" 884389 "arrival_time" "-9:35:57"
"stop_times.txt" 884389 "departure_time" "-9:35:57"
"stop_times.txt" 884390 "arrival_time" "-9:49:25"
"stop_times.txt" 884390 "departure_time" "-9:49:25"
"stop_times.txt" 884391 "arrival_time" "-8:02:38"
"stop_times.txt" 884391 "departure_time" "-8:02:38"
"stop_times.txt" 884392 "arrival_time" "-8:15:41"
"stop_times.txt" 884392 "departure_time" "-8:15:41"
"stop_times.txt" 884393 "arrival_time" "-8:28:37"
"stop_times.txt" 884393 "departure_time" "-8:28:37"
"stop_times.txt" 884460 "arrival_time" "-11:32:13"
"stop_times.txt" 884460 "departure_time" "-11:32:13"
"stop_times.txt" 884461 "arrival_time" "-11:46:57"
"stop_times.txt" 884461 "departure_time" "-11:46:57"
"stop_times.txt" 884462 "arrival_time" "-10:01:44"
"stop_times.txt" 884462 "departure_time" "-10:01:44"
"stop_times.txt" 884463 "arrival_time" "-10:16:37"
"stop_times.txt" 884463 "departure_time" "-10:16:37"
"stop_times.txt" 884464 "arrival_time" "-10:31:37"
"stop_times.txt" 884464 "departure_time" "-10:31:37"
"stop_times.txt" 884465 "arrival_time" "-10:46:15"
"stop_times.txt" 884465 "departure_time" "-10:46:15"
"stop_times.txt" 884466 "arrival_time" "-9:00:35"
"stop_times.txt" 884466 "departure_time" "-9:00:35"
"stop_times.txt" 884467 "arrival_time" "-9:14:40"
"stop_times.txt" 884467 "departure_time" "-9:14:40"
"stop_times.txt" 884468 "arrival_time" "-9:28:38"
"stop_times.txt" 884468 "departure_time" "-9:28:38"
"stop_times.txt" 884469 "arrival_time" "-9:42:21"
"stop_times.txt" 884469 "departure_time" "-9:42:21"
start_and_end_range_out_of_order ERROR 100000

start_and_end_range_out_of_order

Two date or time fields are out of order.

Date or time fields have been found out of order in calendar.txt, feed_info.txt and stop_times.txt.

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row number of the faulty record. startFieldName (?) The start value's field name. startValue (?) The start value. endFieldName (?) The end value's field name. endValue (?) The end value.
"stop_times.txt" 112853 "arrival_time" "07:51:42" "departure_time" "07:51:34"
"stop_times.txt" 112854 "arrival_time" "07:52:36" "departure_time" "07:52:25"
"stop_times.txt" 112856 "arrival_time" "07:56:12" "departure_time" "07:56:03"
"stop_times.txt" 112858 "arrival_time" "07:57:14" "departure_time" "07:57:04"
"stop_times.txt" 112860 "arrival_time" "07:59:28" "departure_time" "07:59:18"
"stop_times.txt" 112865 "arrival_time" "08:03:24" "departure_time" "08:03:19"
"stop_times.txt" 112868 "arrival_time" "08:05:58" "departure_time" "08:05:51"
"stop_times.txt" 112869 "arrival_time" "08:06:23" "departure_time" "08:06:19"
"stop_times.txt" 112870 "arrival_time" "08:06:57" "departure_time" "08:06:49"
"stop_times.txt" 112874 "arrival_time" "08:09:59" "departure_time" "08:09:47"
"stop_times.txt" 112879 "arrival_time" "08:13:06" "departure_time" "08:13:04"
"stop_times.txt" 112880 "arrival_time" "08:13:49" "departure_time" "08:13:41"
"stop_times.txt" 112882 "arrival_time" "08:14:56" "departure_time" "08:14:48"
"stop_times.txt" 112890 "arrival_time" "08:26:16" "departure_time" "08:26:00"
"stop_times.txt" 112891 "arrival_time" "08:27:39" "departure_time" "08:27:23"
"stop_times.txt" 112899 "arrival_time" "08:21:42" "departure_time" "08:21:34"
"stop_times.txt" 112900 "arrival_time" "08:22:36" "departure_time" "08:22:25"
"stop_times.txt" 112902 "arrival_time" "08:26:12" "departure_time" "08:26:03"
"stop_times.txt" 112904 "arrival_time" "08:27:14" "departure_time" "08:27:04"
"stop_times.txt" 112906 "arrival_time" "08:29:28" "departure_time" "08:29:18"
"stop_times.txt" 112911 "arrival_time" "08:33:24" "departure_time" "08:33:19"
"stop_times.txt" 112914 "arrival_time" "08:35:58" "departure_time" "08:35:51"
"stop_times.txt" 112915 "arrival_time" "08:36:23" "departure_time" "08:36:19"
"stop_times.txt" 112916 "arrival_time" "08:36:57" "departure_time" "08:36:49"
"stop_times.txt" 112920 "arrival_time" "08:39:59" "departure_time" "08:39:47"
"stop_times.txt" 112925 "arrival_time" "08:43:06" "departure_time" "08:43:04"
"stop_times.txt" 112926 "arrival_time" "08:43:49" "departure_time" "08:43:41"
"stop_times.txt" 112928 "arrival_time" "08:44:56" "departure_time" "08:44:48"
"stop_times.txt" 112936 "arrival_time" "08:56:16" "departure_time" "08:56:00"
"stop_times.txt" 112937 "arrival_time" "08:57:39" "departure_time" "08:57:23"
"stop_times.txt" 112945 "arrival_time" "09:36:42" "departure_time" "09:36:34"
"stop_times.txt" 112946 "arrival_time" "09:37:36" "departure_time" "09:37:25"
"stop_times.txt" 112948 "arrival_time" "09:41:12" "departure_time" "09:41:03"
"stop_times.txt" 112950 "arrival_time" "09:42:14" "departure_time" "09:42:04"
"stop_times.txt" 112952 "arrival_time" "09:44:28" "departure_time" "09:44:18"
"stop_times.txt" 112957 "arrival_time" "09:48:24" "departure_time" "09:48:19"
"stop_times.txt" 112960 "arrival_time" "09:50:58" "departure_time" "09:50:51"
"stop_times.txt" 112961 "arrival_time" "09:51:23" "departure_time" "09:51:19"
"stop_times.txt" 112962 "arrival_time" "09:51:57" "departure_time" "09:51:49"
"stop_times.txt" 112966 "arrival_time" "09:54:59" "departure_time" "09:54:47"
"stop_times.txt" 112971 "arrival_time" "09:58:06" "departure_time" "09:58:04"
"stop_times.txt" 112972 "arrival_time" "09:58:49" "departure_time" "09:58:41"
"stop_times.txt" 112974 "arrival_time" "09:59:56" "departure_time" "09:59:48"
"stop_times.txt" 112982 "arrival_time" "10:11:16" "departure_time" "10:11:00"
"stop_times.txt" 112983 "arrival_time" "10:12:39" "departure_time" "10:12:23"
"stop_times.txt" 112991 "arrival_time" "10:06:42" "departure_time" "10:06:34"
"stop_times.txt" 112992 "arrival_time" "10:07:36" "departure_time" "10:07:25"
"stop_times.txt" 112994 "arrival_time" "10:11:12" "departure_time" "10:11:03"
"stop_times.txt" 112996 "arrival_time" "10:12:14" "departure_time" "10:12:04"
"stop_times.txt" 112998 "arrival_time" "10:14:28" "departure_time" "10:14:18"
missing_bike_allowance WARNING 294

missing_bike_allowance

Ferry trips should include bike allowance information.

All ferry trips should have a valid value in the bikes_allowed field in trips.txt.

You can see more about this notice here.

Only the first 50 of 294 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
42343 "22203" "3022014-1"
42344 "22203" "3022013-1"
42345 "22203" "3022015-1"
42346 "22203" "3022017-1"
42347 "22203" "3022016-1"
42348 "22203" "3022018-1"
42349 "22203" "3022019-1"
42350 "22203" "3022020-1"
42351 "22203" "3022021-1"
42352 "22203" "3022022-1"
42353 "22203" "3022023-1"
42354 "22203" "3022024-1"
42355 "22203" "3022026-1"
42356 "22203" "3022025-1"
42357 "22203" "3022027-1"
42358 "22203" "3022028-1"
42359 "22203" "3022029-1"
42360 "22203" "3022030-1"
42361 "22203" "3022031-1"
42362 "22203" "3022032-1"
42363 "22203" "3022033-1"
42364 "22203" "3022034-1"
42365 "22203" "3042985-2"
42366 "22203" "3042986-2"
42367 "22203" "3042987-2"
42368 "22203" "3042988-2"
42369 "22203" "3042989-2"
42370 "22203" "3042990-2"
42371 "22203" "3042991-2"
42372 "22203" "3042992-2"
42373 "22203" "3042993-2"
42374 "22203" "3042995-2"
42375 "22203" "3042994-2"
42376 "22203" "3042996-2"
42377 "22203" "3042997-2"
42378 "22203" "3042998-2"
42379 "22203" "3042999-2"
42380 "22203" "3043000-2"
42381 "22203" "3043001-2"
42382 "22203" "3043002-2"
42383 "22203" "3043022-3"
42384 "22203" "3043023-3"
42385 "22203" "3043024-3"
42386 "22203" "3043025-3"
42387 "22203" "3043026-3"
42388 "22203" "3043027-3"
42389 "22203" "3043028-3"
42390 "22203" "3043029-3"
42391 "22203" "3043030-3"
42392 "22203" "3043032-3"
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 55652

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 55652 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" "ULAŞIM PARK A.Ş." 2
"agency.txt" "agency_name" "SS. 195 NOLU DİLOVASI OTO. ve MİN. KARA. YOLCU TAŞ. KOOP." 12
"agency.txt" "agency_name" "SS. 167 NOLU GEBZE MİN. MOT. TAŞ. KOOP." 14
"agency.txt" "agency_name" "SS. ÖZ DARICA MİNİBÜSÇÜLER ve Ö.HALK OTO. TOPLU TAŞ. MOT. TAŞ. KOOP." 16
"agency.txt" "agency_name" "SS. 164 NOLU GEBZE ÇAYIROVA HALK OTO. ve MİN. KOOP." 17
"stops.txt" "stop_name" "ÇINARLI KENT 1" 2
"stops.txt" "stop_name" "ARPALIK CADDESİ" 3
"stops.txt" "stop_name" "SERBEST BÖLGE" 4
"stops.txt" "stop_name" "SEBAHATTİN YAKUT CADDESİ" 6
"stops.txt" "stop_name" "ARPALIK CADDESİ 1" 7
"stops.txt" "stop_name" "MAKİNE KİMYA" 8
"stops.txt" "stop_name" "KARŞIYAKA MUHTARLIĞI" 9
"stops.txt" "stop_name" "YENİKÖY GÖZDEM SİTESİ" 10
"stops.txt" "stop_name" "YAZLIK SAPAĞI 2" 11
"stops.txt" "stop_name" "CEBECİ PEMBE KAYALAR" 12
"stops.txt" "stop_name" "YENİKÖY AİLE SAĞLIĞI MERKEZİ" 13
"stops.txt" "stop_name" "KOCAÇEŞME CADDESİ" 14
"stops.txt" "stop_name" "HACI MAHMUT CADDESİ 2" 15
"stops.txt" "stop_name" "YENİKÖY ATAKENT 9" 16
"stops.txt" "stop_name" "YENİKÖY ATAKENT 8" 17
"stops.txt" "stop_name" "YENİKÖY ATAKENT 7" 18
"stops.txt" "stop_name" "YENİKÖY ATAKENT 6" 19
"stops.txt" "stop_name" "YENİKÖY ATAKENT 5" 20
"stops.txt" "stop_name" "DENİZDİBİ İLKOKULU 1" 21
"stops.txt" "stop_name" "DENİZDİBİ İLKOKULU" 22
"stops.txt" "stop_name" "YENİKÖY ATAKENT 3" 23
"stops.txt" "stop_name" "BAŞİSKELE KÜLTÜR MERKEZİ" 24
"stops.txt" "stop_name" "HÜRRİYET CADDESİ 2" 25
"stops.txt" "stop_name" "HÜRRİYET CADDESİ 3" 26
"stops.txt" "stop_name" "TOPALLAR SAPAĞI" 27
"stops.txt" "stop_name" "ERBAY CAMİ 1" 28
"stops.txt" "stop_name" "KOMUTAN SOKAK" 29
"stops.txt" "stop_name" "YENİKÖY YURT 1" 30
"stops.txt" "stop_name" "MİLLİ EGEMENLİK CADDESİ 1" 31
"stops.txt" "stop_name" "İHSAN PEKER SOKAK 1" 32
"stops.txt" "stop_name" "YENİKÖY ÜÇYOL 1" 33
"stops.txt" "stop_name" "602. SOKAK 1" 34
"stops.txt" "stop_name" "YENİKÖY MEZARLIĞI 1" 35
"stops.txt" "stop_name" "SEYMEN CAMİ" 36
"stops.txt" "stop_name" "SEYMEN CAMİ 1" 37
"stops.txt" "stop_name" "SEYMEN ÜSTÜ 1" 38
"stops.txt" "stop_name" "CEYHAN CADDESİ" 39
"stops.txt" "stop_name" "BAHÇECİK FIRIN" 40
"stops.txt" "stop_name" "BAHÇECİK FIRIN 1" 41
"stops.txt" "stop_name" "YENİ MAHALLE ÜST DURAK" 42
"stops.txt" "stop_name" "SEYMEN AİLE SAĞLIĞI MERKEZİ" 43
"stops.txt" "stop_name" "YENİKÖY SAPAĞI 2" 44
"stops.txt" "stop_name" "KOÇOĞLU CADDESİ 1" 45
"stops.txt" "stop_name" "HACI ASLAN CADDESİ" 46
"stops.txt" "stop_name" "DAMLAR SAPAĞI" 47
route_color_contrast WARNING 6

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.
"42015" 6 "#006633" "#000000"
"42150" 69 "#006633" "#000000"
"42750" 261 "#006633" "#000000"
"42001" 409 "#DEDC00" "#FFFFFF"
"42003" 410 "#DEDC00" "#FFFFFF"
"42004" 411 "#DEDC00" "#FFFFFF"
route_long_name_contains_short_name WARNING 24

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`.
"22203" 286 "D.DERE" "D.DERE-İSKELE HATLARI"
"22225" 288 "DARICA" "DARICA-ADALAR"
"22207" 294 "HEREKE" "HEREKE-İSKELE HATLARI"
"22226" 295 "IZMIT" "IZMIT-ADALAR"
"22228" 366 "MEHTAP" "MEHTAP-TURU"
"70014" 371 "PS-G1" "PS-G1-PS-G1"
"70015" 372 "PS-G2" "PS-G2-PS-G2"
"70016" 373 "PS-G3" "PS-G3-PS-G3"
"70017" 374 "PS-G4" "PS-G4-PS-G4"
"70009" 375 "PS-K1" "PS-K1-PS-K1"
"70010" 376 "PS-K2" "PS-K2-PS-K2"
"70011" 377 "PS-K3" "PS-K3-PS-K3"
"70012" 378 "PS-K4" "PS-K4-PS-K4"
"70013" 379 "PS-K5" "PS-K5-PS-K5"
"70001" 380 "PS-P1" "PS-P1-PS-P1"
"70019" 381 "PS-P10" "PS-P10-PS-P10"
"70002" 382 "PS-P2" "PS-P2-PS-P2"
"70003" 383 "PS-P3" "PS-P3-PS-P3"
"70004" 384 "PS-P4" "PS-P4-PS-P4"
"70005" 385 "PS-P5" "PS-P5-PS-P5"
"70006" 386 "PS-P6" "PS-P6-PS-P6"
"70007" 387 "PS-P7" "PS-P7-PS-P7"
"70008" 388 "PS-P8" "PS-P8-PS-P8"
"70018" 389 "PS-P9" "PS-P9-PS-P9"
unused_shape WARNING 21

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.
"412891" 45310
"415201" 87975
"416371" 110249
"417030" 122429
"417031" 122613
"417040" 122818
"417041" 123097
"437500" 130812
"437501" 131310
"417961" 138682
"440010" 144926
"222250" 145024
"222251" 145026
"222260" 145651
"510101" 154201
"222280" 207186
"222281" 207190
"700190" 213178
"700180" 216354
"420050" 235277
"420051" 235279