GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-10T03:29:01Z,
for the dataset file:///shared/pascocountypublictransit-us_fa7c48f9.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included

Feed Info

Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Email:
alex@busmaps.com
Feed Language:
English
Feed Start Date:
2026-05-01
Feed End Date:
2027-05-10

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: 24
  • Routes: 14
  • Shapes: 37
  • Stops: 942
  • Trips: 492

Specification Compliance report

43 notices reported (34 errors, 9 warnings, 0 infos)

Notice Code Severity Total
block_trips_with_overlapping_stop_times ERROR 34

block_trips_with_overlapping_stop_times

Trips with the same block id have overlapping stop times.

You can see more about this notice here.

csvRowNumberA (?) The row number from `trips.txt` of the first faulty trip. tripIdA (?) The id of first faulty trip. serviceIdA (?) The service id of the first faulty trip. csvRowNumberB (?) The row number from `trips.txt` of the second faulty trip. tripIdB (?) The id of the other faulty trip. serviceIdB (?) The service id of the other faulty trip. blockId (?) The `trips.block_id` of the overlapping trip. intersection (?) The overlapping period.
124 "105194-t2BC-bBF-sl4" "105194-merged_cedf215b50ac6215fbc5" 180 "105194-t2BC-bBF-sl5" "105194-5" "191" "20260502"
132 "105194-t384-bBF-sl4" "105194-merged_cedf215b50ac6215fbc5" 184 "105194-t384-bBF-sl5" "105194-5" "191" "20260502"
140 "105194-t44C-bBF-sl4" "105194-merged_cedf215b50ac6215fbc5" 188 "105194-t44C-bBF-sl5" "105194-5" "191" "20260502"
148 "105194-t514-bBF-sl4" "105194-merged_cedf215b50ac6215fbc5" 192 "105194-t514-bBF-sl5" "105194-5" "191" "20260502"
196 "105194-t5DC-bBF-sl5" "105194-5" 156 "105194-t5DC-bBF-sl4" "105194-merged_cedf215b50ac6215fbc5" "191" "20260502"
126 "105194-t2DA-bC0-sl4" "105194-merged_cedf215b50ac6215fbc5" 181 "105194-t2DA-bC0-sl5" "105194-5" "192" "20260502"
134 "105194-t3A2-bC0-sl4" "105194-merged_cedf215b50ac6215fbc5" 185 "105194-t3A2-bC0-sl5" "105194-5" "192" "20260502"
142 "105194-t46A-bC0-sl4" "105194-merged_cedf215b50ac6215fbc5" 189 "105194-t46A-bC0-sl5" "105194-5" "192" "20260502"
150 "105194-t532-bC0-sl4" "105194-merged_cedf215b50ac6215fbc5" 193 "105194-t532-bC0-sl5" "105194-5" "192" "20260502"
197 "105194-t5FA-bC0-sl5" "105194-5" 158 "105194-t5FA-bC0-sl4" "105194-merged_cedf215b50ac6215fbc5" "192" "20260502"
129 "105194-t320-bC1-sl4" "105194-merged_cedf215b50ac6215fbc5" 182 "105194-t320-bC1-sl5" "105194-5" "193" "20260502"
137 "105194-t3E8-bC1-sl4" "105194-merged_cedf215b50ac6215fbc5" 186 "105194-t3E8-bC1-sl5" "105194-5" "193" "20260502"
145 "105194-t4B0-bC1-sl4" "105194-merged_cedf215b50ac6215fbc5" 190 "105194-t4B0-bC1-sl5" "105194-5" "193" "20260502"
153 "105194-t578-bC1-sl4" "105194-merged_cedf215b50ac6215fbc5" 194 "105194-t578-bC1-sl5" "105194-5" "193" "20260502"
198 "105194-t640-bC1-sl5" "105194-5" 161 "105194-t640-bC1-sl4" "105194-merged_cedf215b50ac6215fbc5" "193" "20260502"
80 "105194-t258-bA1-sl5" "105194-5" 52 "105194-t258-bA1-sl4" "105194-merged_cedf215b50ac6215fbc5" "161" "20260502"
82 "105194-t320-bA1-sl5" "105194-5" 56 "105194-t320-bA1-sl4" "105194-merged_cedf215b50ac6215fbc5" "161" "20260502"
131 "105194-t33E-bC2-sl4" "105194-merged_cedf215b50ac6215fbc5" 183 "105194-t33E-bC2-sl5" "105194-5" "194" "20260502"
139 "105194-t406-bC2-sl4" "105194-merged_cedf215b50ac6215fbc5" 187 "105194-t406-bC2-sl5" "105194-5" "194" "20260502"
147 "105194-t4CE-bC2-sl4" "105194-merged_cedf215b50ac6215fbc5" 191 "105194-t4CE-bC2-sl5" "105194-5" "194" "20260502"
195 "105194-t596-bC2-sl5" "105194-5" 155 "105194-t596-bC2-sl4" "105194-merged_cedf215b50ac6215fbc5" "194" "20260502"
199 "105194-t65E-bC2-sl5" "105194-5" 163 "105194-t65E-bC2-sl4" "105194-merged_cedf215b50ac6215fbc5" "194" "20260502"
81 "105194-t2BC-bA2-sl5" "105194-5" 55 "105194-t2BC-bA2-sl4" "105194-merged_cedf215b50ac6215fbc5" "162" "20260502"
448 "105194-t4B0-b21D-sl4" "105194-merged_cedf215b50ac6215fbc5" 464 "105194-t514-b21D-sl5" "105194-5" "541" "20260502"
464 "105194-t514-b21D-sl5" "105194-5" 451 "105194-t53C-b21D-sl4" "105194-merged_cedf215b50ac6215fbc5" "541" "20260502"
444 "105194-t3E8-b21E-sl4" "105194-merged_cedf215b50ac6215fbc5" 463 "105194-t44C-b21E-sl5" "105194-5" "542" "20260502"
463 "105194-t44C-b21E-sl5" "105194-5" 447 "105194-t474-b21E-sl4" "105194-merged_cedf215b50ac6215fbc5" "542" "20260502"
456 "105194-t640-b21E-sl4" "105194-merged_cedf215b50ac6215fbc5" 467 "105194-t6A4-b21E-sl5" "105194-5" "542" "20260502"
467 "105194-t6A4-b21E-sl5" "105194-5" 459 "105194-t6CC-b21E-sl4" "105194-merged_cedf215b50ac6215fbc5" "542" "20260502"
440 "105194-t320-b21F-sl4" "105194-merged_cedf215b50ac6215fbc5" 462 "105194-t384-b21F-sl5" "105194-5" "543" "20260502"
462 "105194-t384-b21F-sl5" "105194-5" 443 "105194-t3AC-b21F-sl4" "105194-merged_cedf215b50ac6215fbc5" "543" "20260502"
452 "105194-t578-b21F-sl4" "105194-merged_cedf215b50ac6215fbc5" 465 "105194-t5DC-b21F-sl5" "105194-5" "543" "20260502"
465 "105194-t5DC-b21F-sl5" "105194-5" 455 "105194-t604-b21F-sl4" "105194-merged_cedf215b50ac6215fbc5" "543" "20260502"
455 "105194-t604-b21F-sl4" "105194-merged_cedf215b50ac6215fbc5" 466 "105194-t668-b21F-sl5" "105194-5" "543" "20260502"
mixed_case_recommended_field WARNING 9

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" "US 19 & SR 54" 208
"stops.txt" "stop_name" "US 19 & SR 52" 238
"stops.txt" "stop_name" "US 19 & SR 54" 269
"stops.txt" "stop_name" "US 19 & SR 54" 270
"stops.txt" "stop_name" "US 19 & SR 52" 323
"stops.txt" "stop_name" "US 301 & CR 54" 533
"stops.txt" "stop_name" "US 98 & US 301" 579
"stops.txt" "stop_name" "SR 54 & US 41" 710
"stops.txt" "stop_name" "SR 54 & US 41" 769