GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-23T19:27:02Z,
for the dataset file:///shared/falls-ride_3ff6b237.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. fare_attributes.txt
  5. fare_rules.txt
  6. frequencies.txt
  7. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. transfers.txt
  12. trips.txt

Counts

  • Agencies: 0
  • Blocks: 28
  • Routes: 12
  • Shapes: 12
  • Stops: 325
  • Trips: 31

Specification Compliance report

319 notices reported (1 errors, 318 warnings, 0 infos)

Notice Code Severity Total
invalid_url ERROR 1

invalid_url

A field contains a malformed URL.

Definitions for valid URLs are quite vague. We perform strict validation using the Apache Commons UrlValidator.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"agency.txt" 2 "agency_url" "fallsride.transloc.com"
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 317

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 317 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.
"routes.txt" "route_long_name" "ROUTE 1 1 1 - EAST SIDE" 2
"routes.txt" "route_long_name" "ROUTE 2 1 1 - CENTRAL" 3
"routes.txt" "route_long_name" "ROUTE 3 1 1 - SOUTHEAST" 4
"routes.txt" "route_long_name" "ROUTE 4 1 1 - NORTH" 5
"routes.txt" "route_long_name" "ROUTE 5 1 1 - SOUTH WEST" 6
"routes.txt" "route_long_name" "ROUTE 7 1 1 - CONNECTOR" 7
"routes.txt" "route_long_name" "ROUTE 8 1 1 MUSTANG" 8
"routes.txt" "route_long_name" "GROCERY CART" 9
"routes.txt" "route_long_name" "ROUTE 6 1 1 - SHEPPARD EXPRESS" 11
"routes.txt" "route_long_name" "NIGHT CRAWLER" 12
"routes.txt" "route_long_name" "ON DEMAND" 13
"stops.txt" "stop_name" "THIRD AND BROAD" 2
"stops.txt" "stop_name" "MIDTOWN MANOR STOP ON BURNETT STREET" 3
"stops.txt" "stop_name" "SEVENTH AND SCOTT" 4
"stops.txt" "stop_name" "WICHITA FALLS PUBLIC LIBRARY ON 10TH STREET" 5
"stops.txt" "stop_name" "TWELFTH AND INDIANA" 7
"stops.txt" "stop_name" "MARTIN LUTHER KING AND MARCONI" 8
"stops.txt" "stop_name" "MARTIN LUTHER KING AND BONNER" 9
"stops.txt" "stop_name" "MARTIN LUTHER KING AND SIXTH" 10
"stops.txt" "stop_name" "MARTIN LUTHER KING AND THIRD" 11
"stops.txt" "stop_name" "WICHITA AND MARTIN LUTHER KING" 12
"stops.txt" "stop_name" "WICHITA AND BEN DONNELL" 13
"stops.txt" "stop_name" "CLAY AND LINCOLN" 14
"stops.txt" "stop_name" "CAROLINA AND CALHOUN" 15
"stops.txt" "stop_name" "MARTIN LUTHER KING AND SECOND" 16
"stops.txt" "stop_name" "THIRD AND FARRIS" 17
"stops.txt" "stop_name" "DUNCAN AND NORTH MILL" 18
"stops.txt" "stop_name" "DUNCAN AND SMITH" 19
"stops.txt" "stop_name" "DUNCAN AND GLADIOLUS" 20
"stops.txt" "stop_name" "NORTH ROSEWOOD AND ROOSEVELT" 21
"stops.txt" "stop_name" "NORTH ROSEWOOD AND FLOOD" 22
"stops.txt" "stop_name" "FLOOD AND REDWOOD" 23
"stops.txt" "stop_name" "HARDING AND NEFF" 24
"stops.txt" "stop_name" "HARDING AND OTIS POLK" 25
"stops.txt" "stop_name" "HARDING AND THOMPSON" 26
"stops.txt" "stop_name" "THOMPSON AND TROUT" 27
"stops.txt" "stop_name" "MARTIN LUTHER KING AND THOMPSON" 28
"stops.txt" "stop_name" "MARTIN LUTHER KING AND WHITFIELD" 29
"stops.txt" "stop_name" "MARTIN LUTHER KING AND ORIOLE" 30
"stops.txt" "stop_name" "NORTH ROSEWOOD AND HUMPHREYS" 31
"stops.txt" "stop_name" "NORTH ROSEWOOD AND WELCH" 32
"stops.txt" "stop_name" "HARDING AND CLEVELAND" 33
"stops.txt" "stop_name" "JALONIC AND KENTUCKY" 34
"stops.txt" "stop_name" "SOUTH ROSEWOOD AND FORT WORTH" 35
"stops.txt" "stop_name" "EAST SCOTT AND PERIGO" 36
"stops.txt" "stop_name" "EAST SCOTT AND WINDTHORST" 37
"stops.txt" "stop_name" "WINDTHORST AND SHARON" 38
"stops.txt" "stop_name" "WINDTHORST AND IRELAND" 39
"stops.txt" "stop_name" "WINDTHORST AND SUNNYSIDE" 40
"stops.txt" "stop_name" "WINDTHORST AND TWO EIGHTY SEVEN" 41