Search
  1. Home
  2. United States Feeds
  3. stark-county-rural-transit
  4. Enhanced Validation Report

stark-county-rural-transit — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-23T21:13:29Z,
for the dataset file:///shared/stark-county-rural-transit_4e1693bf.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Language:
English
Feed Start Date:
2026-02-08
Feed End Date:
2026-05-09

Files included

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

Counts

  • Agencies: 1
  • Blocks: 58
  • Routes: 24
  • Shapes: 53
  • Stops: 1369
  • Trips: 1680

Specification Compliance report

36 notices reported (0 errors, 36 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 30

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.

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.
1582 "101717-35238" "101717-171" 892.6307146136018 0.24795297628155605 49415 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "16:53:15" 49416 25 "101717-6175" "1ST ST AND Federal AVE Nw" "16:53:16"
742 "101717-35208" "101717-171" 892.6307146136018 0.24795297628155605 22835 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "16:53:15" 22836 25 "101717-6175" "1ST ST AND Federal AVE Nw" "16:53:16"
1576 "101717-35232" "101717-171" 446.3153573068009 0.24795297628155605 49247 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "10:51:54" 49248 25 "101717-6175" "1ST ST AND Federal AVE Nw" "10:51:56"
736 "101717-35202" "101717-171" 446.3153573068009 0.24795297628155605 22667 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "10:51:54" 22668 25 "101717-6175" "1ST ST AND Federal AVE Nw" "10:51:56"
1581 "101717-35237" "101717-171" 892.6307146136018 0.24795297628155605 49387 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "15:53:15" 49388 25 "101717-6175" "1ST ST AND Federal AVE Nw" "15:53:16"
741 "101717-35207" "101717-171" 892.6307146136018 0.24795297628155605 22807 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "15:53:15" 22808 25 "101717-6175" "1ST ST AND Federal AVE Nw" "15:53:16"
1577 "101717-35233" "101717-171" 892.6307146136018 0.24795297628155605 49275 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "11:53:15" 49276 25 "101717-6175" "1ST ST AND Federal AVE Nw" "11:53:16"
737 "101717-35203" "101717-171" 892.6307146136018 0.24795297628155605 22695 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "11:53:15" 22696 25 "101717-6175" "1ST ST AND Federal AVE Nw" "11:53:16"
1572 "101717-35228" "101717-171" 892.6307146136018 0.24795297628155605 49135 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "06:53:15" 49136 25 "101717-6175" "1ST ST AND Federal AVE Nw" "06:53:16"
732 "101717-35198" "101717-171" 892.6307146136018 0.24795297628155605 22555 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "06:53:15" 22556 25 "101717-6175" "1ST ST AND Federal AVE Nw" "06:53:16"
1586 "101717-35242" "101717-171" 446.3153573068009 0.24795297628155605 49527 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "20:51:54" 49528 25 "101717-6175" "1ST ST AND Federal AVE Nw" "20:51:56"
746 "101717-35212" "101717-171" 446.3153573068009 0.24795297628155605 22947 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "20:51:54" 22948 25 "101717-6175" "1ST ST AND Federal AVE Nw" "20:51:56"
1579 "101717-35235" "101717-171" 446.3153573068009 0.24795297628155605 49331 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "13:51:54" 49332 25 "101717-6175" "1ST ST AND Federal AVE Nw" "13:51:56"
739 "101717-35205" "101717-171" 446.3153573068009 0.24795297628155605 22751 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "13:51:54" 22752 25 "101717-6175" "1ST ST AND Federal AVE Nw" "13:51:56"
1585 "101717-35241" "101717-171" 892.6307146136018 0.24795297628155605 49499 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "19:53:15" 49500 25 "101717-6175" "1ST ST AND Federal AVE Nw" "19:53:16"
745 "101717-35211" "101717-171" 892.6307146136018 0.24795297628155605 22919 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "19:53:15" 22920 25 "101717-6175" "1ST ST AND Federal AVE Nw" "19:53:16"
1574 "101717-35230" "101717-171" 446.3153573068009 0.24795297628155605 49191 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "08:51:54" 49192 25 "101717-6175" "1ST ST AND Federal AVE Nw" "08:51:56"
734 "101717-35200" "101717-171" 446.3153573068009 0.24795297628155605 22611 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "08:51:54" 22612 25 "101717-6175" "1ST ST AND Federal AVE Nw" "08:51:56"
1580 "101717-35236" "101717-171" 892.6307146136018 0.24795297628155605 49359 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "14:53:15" 49360 25 "101717-6175" "1ST ST AND Federal AVE Nw" "14:53:16"
1584 "101717-35240" "101717-171" 892.6307146136018 0.24795297628155605 49471 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "18:53:15" 49472 25 "101717-6175" "1ST ST AND Federal AVE Nw" "18:53:16"
744 "101717-35210" "101717-171" 892.6307146136018 0.24795297628155605 22891 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "18:53:15" 22892 25 "101717-6175" "1ST ST AND Federal AVE Nw" "18:53:16"
1575 "101717-35231" "101717-171" 446.3153573068009 0.24795297628155605 49219 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "09:51:54" 49220 25 "101717-6175" "1ST ST AND Federal AVE Nw" "09:51:56"
735 "101717-35201" "101717-171" 446.3153573068009 0.24795297628155605 22639 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "09:51:54" 22640 25 "101717-6175" "1ST ST AND Federal AVE Nw" "09:51:56"
1578 "101717-35234" "101717-171" 446.3153573068009 0.24795297628155605 49303 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "12:51:54" 49304 25 "101717-6175" "1ST ST AND Federal AVE Nw" "12:51:56"
738 "101717-35204" "101717-171" 446.3153573068009 0.24795297628155605 22723 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "12:51:54" 22724 25 "101717-6175" "1ST ST AND Federal AVE Nw" "12:51:56"
1583 "101717-35239" "101717-171" 446.3153573068009 0.24795297628155605 49443 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "17:51:54" 49444 25 "101717-6175" "1ST ST AND Federal AVE Nw" "17:51:56"
743 "101717-35209" "101717-171" 446.3153573068009 0.24795297628155605 22863 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "17:51:54" 22864 25 "101717-6175" "1ST ST AND Federal AVE Nw" "17:51:56"
1573 "101717-35229" "101717-171" 892.6307146136018 0.24795297628155605 49163 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "07:53:15" 49164 25 "101717-6175" "1ST ST AND Federal AVE Nw" "07:53:16"
733 "101717-35199" "101717-171" 892.6307146136018 0.24795297628155605 22583 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "07:53:15" 22584 25 "101717-6175" "1ST ST AND Federal AVE Nw" "07:53:16"
740 "101717-35206" "101717-171" 446.3153573068009 0.24795297628155605 22779 24 "101717-6749" "Erie ST S AND Charles AVE Sw" "14:51:54" 22780 25 "101717-6175" "1ST ST AND Federal AVE Nw" "14:51:56"
feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

Dataset should cover at least the next 30 days of service.

At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally for as long as the operator is confident that the schedule will continue to be operated.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20260423" "20260509" "20260523"
missing_recommended_field WARNING 1

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.
"fare_attributes.txt" 2 "agency_id"
stop_too_far_from_shape WARNING 4

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
33 "101717-1533" "101717-33580" 1071 "101717-5011" "Metro Transit Center Akron Ohio" [41.069645480204265,-81.52281789024606] 109.30403968542048
34 "101717-1532" "101717-33588" 1082 "101717-5011" "Metro Transit Center Akron Ohio" [41.069645480204265,-81.52281789024606] 109.30403968542048
779 "101717-1582" "101717-35042" 23940 "101717-6313" "WAL-Mart Alliance" [40.90046000000001,-81.15701] 191.70868256020998
415 "101717-1555" "101717-34314" 12903 "101717-6757" "Amazon" [40.84561800000001,-81.31189] 151.22525064177086