GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T18:44:40Z,
for the dataset file:///shared/ckrider.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

  • Concord Kannapolis Area Transit (old)

Feed Info

Publisher Name:
Passio Technologies
Publisher URL:
https://passiotech.com
Feed Email:
N/A
Feed Language:
English

Files included

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

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 9
  • Shapes: 9
  • Stops: 278
  • Trips: 193

Specification Compliance report

657 notices reported (0 errors, 657 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 645

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.

Only the first 50 of 645 affected records are displayed below.

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.
156 "520119" "14051" 153.08138215258379 0.42522606153495496 6125 4 "25256" "Thunder Rd - Walmart" "17:47:00" 6126 5 "25257" "Thunder Rd & Pit Stop Ct" "17:47:10"
191 "520103" "10300" 168.33701274707016 0.467602813186306 7130 8 "25383" "Rt 73 & Rural Dr (Outbound)" "16:25:00" 7131 9 "25386" "International Dr & Global Ave (Outbound)" "16:25:10"
191 "520103" "10300" 161.67746251800847 0.44910406255002355 7147 25 "25132" "International Dr at Republic Ct" "17:00:00" 7148 26 "25225" "International Dr & Corporate Dr" "17:00:10"
191 "520103" "10300" 259.3325705765054 0.7203682516014038 7155 33 "25253" "Rt 73 & Gaither Pl (Inbound)" "17:05:00" 7156 34 "25254" "Rt 73 & Southampton Dr (Inbound)" "17:05:10"
122 "236912" "18147" 228.34637842533417 0.6342954956259282 5032 15 "25142" "Cabarrus Ave & White St (Outbound)" "10:45:00" 5033 16 "25139" "Cabarrus Ave & 4th St" "10:45:10"
158 "520121" "14051" 153.08138215258379 0.42522606153495496 6157 4 "25256" "Thunder Rd - Walmart" "19:47:00" 6158 5 "25257" "Thunder Rd & Pit Stop Ct" "19:47:10"
6 "132536" "10291" 181.97721352024837 0.5054922597784677 231 18 "25163" "N Main St & W 7th St" "09:51:00" 232 19 "25264" "N Main St & W 12th St" "09:51:10"
17 "132564" "10291" 181.97721352024837 0.5054922597784677 814 18 "25163" "N Main St & W 7th St" "09:51:00" 815 19 "25264" "N Main St & W 12th St" "09:51:10"
6 "132536" "10291" 212.43058787937017 0.5900849663315838 232 19 "25264" "N Main St & W 12th St" "09:51:10" 233 20 "25162" "N Main St & Oak Grove St" "09:51:20"
17 "132564" "10291" 212.43058787937017 0.5900849663315838 815 19 "25264" "N Main St & W 12th St" "09:51:10" 816 20 "25162" "N Main St & Oak Grove St" "09:51:20"
6 "132536" "10291" 161.3115988235555 0.4480877745098764 249 36 "25339" "Loop Rd & Village Park" "10:03:00" 250 37 "25340" "Loop Rd & Biotechnology Lane" "10:03:10"
17 "132564" "10291" 161.3115988235555 0.4480877745098764 832 36 "25339" "Loop Rd & Village Park" "10:03:00" 833 37 "25340" "Loop Rd & Biotechnology Lane" "10:03:10"
6 "132536" "10291" 283.0679744285125 0.7862999289680903 256 43 "25346" "Rt 29 & Nance St" "10:08:00" 257 44 "25347" "Rt 29 & Smith St (Inbound)" "10:08:10"
17 "132564" "10291" 283.0679744285125 0.7862999289680903 839 43 "25346" "Rt 29 & Nance St" "10:08:00" 840 44 "25347" "Rt 29 & Smith St (Inbound)" "10:08:10"
6 "132536" "10291" 152.46192512784714 0.4235053475773532 258 45 "25348" "Rt 29 & Fairview St - Aldi" "10:09:00" 259 46 "25349" "Rt 29 & Irene Ave" "10:09:10"
17 "132564" "10291" 152.46192512784714 0.4235053475773532 841 45 "25348" "Rt 29 & Fairview St - Aldi" "10:09:00" 842 46 "25349" "Rt 29 & Irene Ave" "10:09:10"
116 "460426" "35136" 160.13098804635533 0.4448083001287648 4737 12 "25204" "Church St & Marsh Ave" "16:30:00" 4738 13 "25205" "Church St & Killarney Ave" "16:30:10"
105 "460415" "35136" 160.13098804635533 0.4448083001287648 4154 12 "25204" "Church St & Marsh Ave" "16:30:00" 4155 13 "25205" "Church St & Killarney Ave" "16:30:10"
116 "460426" "35136" 228.44274803103048 0.6345631889750847 4749 24 "25157" "Lincoln St & Parkview Ave" "16:39:00" 4750 25 "25303" "Rutherford St & Amber Ct" "16:39:10"
105 "460415" "35136" 228.44274803103048 0.6345631889750847 4166 24 "25157" "Lincoln St & Parkview Ave" "16:39:00" 4167 25 "25303" "Rutherford St & Amber Ct" "16:39:10"
116 "460426" "35136" 202.08470107345082 0.5613463918706967 4753 28 "25191" "Wilshire Ave & Webb Rd" "16:42:00" 4754 29 "25192" "Wilshire Ave & Highland Ave" "16:42:10"
105 "460415" "35136" 202.08470107345082 0.5613463918706967 4170 28 "25191" "Wilshire Ave & Webb Rd" "16:42:00" 4171 29 "25192" "Wilshire Ave & Highland Ave" "16:42:10"
80 "520455" "18149" 261.11353712828014 0.7253153809118893 2910 5 "25220" "Executive Park Dr - Daymark" "16:24:00" 2911 6 "25362" "Penny Ln & Trotwood St" "16:24:10"
80 "520455" "18149" 191.22447573744978 0.5311790992706938 2915 10 "25296" "Copperfield Blvd At Gateway Ct - NE Imaging" "16:30:00" 2916 11 "25322" "Copperfield Blvd & Copperfield Commons" "16:30:10"
80 "520455" "18149" 272.18712093306783 0.7560753359251885 2917 12 "25285" "Copperfield Blvd & Dickens Place" "16:31:00" 2918 13 "25363" "Dale Earnhardt Blvd & Denwood St - Lowes" "16:31:10"
80 "520455" "18149" 219.25190533518654 0.6090330703755181 2926 21 "25364" "Dale Earnhardt Blvd & Centergrove Rd" "16:44:00" 2927 22 "25365" "S Little Texas Rd & Forest Park Dr" "16:44:10"
80 "520455" "18149" 153.02212561745762 0.4250614600484934 2929 24 "25176" "S Little Texas Rd & Summit Ridge Ln" "16:45:10" 2930 25 "25323" "S Little Texas Rd & MLK Jr Ave" "16:45:20"
80 "520455" "18149" 163.78700350896676 0.4549638986360188 2931 26 "25175" "S Little Texas Rd & El Paso St" "16:46:00" 2932 27 "25174" "S Little Texas Rd & Chipola St" "16:46:10"
80 "520455" "18149" 300.5267730285117 0.8347965917458658 2932 27 "25174" "S Little Texas Rd & Chipola St" "16:46:10" 2933 28 "25183" "Brantley Rd & Pearl Ave" "16:46:20"
80 "520455" "18149" 211.7539957564376 0.5882055437678823 2936 31 "25368" "Lane St & Bostian Ave" "16:50:00" 2937 32 "25369" "Brantley Rd & Carsil Way" "16:50:10"
80 "520455" "18149" 186.4692697577538 0.5179701937715384 2940 35 "25372" "Midlake Rd & Mallard Pointe" "16:52:10" 2941 36 "25373" "Centergrove Rd & Edinburg Dr" "16:52:20"
80 "520455" "18149" 232.13134314933845 0.6448092865259402 2944 39 "25376" "Centergrove Rd & Dale Earnhardt Blvd, Qt Stn" "16:56:00" 2945 40 "25286" "Oak Crest Apartments" "16:56:10"
80 "520455" "18149" 181.59699685508485 0.5044361023752357 2945 40 "25286" "Oak Crest Apartments" "16:56:10" 2946 41 "25146" "Concord Lake Rd & University Dr" "16:56:20"
76 "520451" "18149" 261.11353712828014 0.7253153809118893 2718 5 "25220" "Executive Park Dr - Daymark" "11:38:00" 2719 6 "25362" "Penny Ln & Trotwood St" "11:38:10"
76 "520451" "18149" 191.22447573744978 0.5311790992706938 2723 10 "25296" "Copperfield Blvd At Gateway Ct - NE Imaging" "11:43:00" 2724 11 "25322" "Copperfield Blvd & Copperfield Commons" "11:43:10"
76 "520451" "18149" 272.18712093306783 0.7560753359251885 2725 12 "25285" "Copperfield Blvd & Dickens Place" "11:44:00" 2726 13 "25363" "Dale Earnhardt Blvd & Denwood St - Lowes" "11:44:10"
76 "520451" "18149" 219.25190533518654 0.6090330703755181 2734 21 "25364" "Dale Earnhardt Blvd & Centergrove Rd" "11:55:00" 2735 22 "25365" "S Little Texas Rd & Forest Park Dr" "11:55:10"
76 "520451" "18149" 153.02212561745762 0.4250614600484934 2737 24 "25176" "S Little Texas Rd & Summit Ridge Ln" "11:56:10" 2738 25 "25323" "S Little Texas Rd & MLK Jr Ave" "11:56:20"
76 "520451" "18149" 163.78700350896676 0.4549638986360188 2739 26 "25175" "S Little Texas Rd & El Paso St" "11:57:00" 2740 27 "25174" "S Little Texas Rd & Chipola St" "11:57:10"
76 "520451" "18149" 300.5267730285117 0.8347965917458658 2740 27 "25174" "S Little Texas Rd & Chipola St" "11:57:10" 2741 28 "25183" "Brantley Rd & Pearl Ave" "11:57:20"
76 "520451" "18149" 163.3273605551857 0.4536871126532936 2743 30 "25367" "Lane St & Carolyn Ave" "11:59:00" 2744 31 "25368" "Lane St & Bostian Ave" "11:59:10"
76 "520451" "18149" 186.4692697577538 0.5179701937715384 2748 35 "25372" "Midlake Rd & Mallard Pointe" "12:02:10" 2749 36 "25373" "Centergrove Rd & Edinburg Dr" "12:02:20"
76 "520451" "18149" 232.13134314933845 0.6448092865259402 2752 39 "25376" "Centergrove Rd & Dale Earnhardt Blvd, Qt Stn" "12:06:00" 2753 40 "25286" "Oak Crest Apartments" "12:06:10"
76 "520451" "18149" 181.59699685508485 0.5044361023752357 2753 40 "25286" "Oak Crest Apartments" "12:06:10" 2754 41 "25146" "Concord Lake Rd & University Dr" "12:06:20"
76 "520451" "18149" 312.4759787475729 0.8679888298543692 2760 47 "25290" "Cloverleaf Pkwy & Cloverleaf Plaza - Salvation Army (Inbound)" "12:12:00" 2761 48 "25393" "Rider Transit Center (Green)" "12:12:10"
25 "132572" "10291" 181.97721352024837 0.5054922597784677 1238 18 "25163" "N Main St & W 7th St" "18:51:00" 1239 19 "25264" "N Main St & W 12th St" "18:51:10"
14 "132544" "10291" 181.97721352024837 0.5054922597784677 655 18 "25163" "N Main St & W 7th St" "18:51:00" 656 19 "25264" "N Main St & W 12th St" "18:51:10"
25 "132572" "10291" 212.43058787937017 0.5900849663315838 1239 19 "25264" "N Main St & W 12th St" "18:51:10" 1240 20 "25162" "N Main St & Oak Grove St" "18:51:20"
14 "132544" "10291" 212.43058787937017 0.5900849663315838 656 19 "25264" "N Main St & W 12th St" "18:51:10" 657 20 "25162" "N Main St & Oak Grove St" "18:51:20"
25 "132572" "10291" 161.3115988235555 0.4480877745098764 1256 36 "25339" "Loop Rd & Village Park" "19:03:00" 1257 37 "25340" "Loop Rd & Biotechnology Lane" "19:03:10"
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 3

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_start_date"
"feed_info.txt" 2 "feed_end_date"
"feed_info.txt" 2 "feed_version"
mixed_case_recommended_field WARNING 1

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.
"trips.txt" "trip_short_name" "OB AM" 52
route_long_name_contains_short_name WARNING 7

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`.
"10291" 2 "Blue" "Blue Route"
"24352" 3 "Brown" "Brown Route"
"18149" 6 "Green" "Green Route"
"35136" 7 "Orange" "Orange Route"
"18147" 8 "Purple" "Purple Route"
"14051" 9 "Red" "Red Route"
"10300" 10 "Yellow" "Yellow Route"