GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T17:34:54Z,
for the dataset file:///shared/ridegrtc.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
GRTC
Publisher URL:
http://www.ridegrtc.com
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2025-10-19
Feed End Date:
2026-05-25

Files included


  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. fare_attributes.txt
  5. fare_rules.txt
  6. feed_info.txt
  7. frequencies.txt
  8. routes.txt
  9. shapes.txt
  10. stop_times.txt
  11. stops.txt
  12. transfers.txt
  13. trips.txt

Counts


  • Agencies: 1
  • Blocks: 208
  • Routes: 34
  • Shapes: 80
  • Stops: 1616
  • Trips: 4513

Specification Compliance report

5924 notices reported (0 errors, 5924 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 26

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.
1313 "3526070" "1A" 235.90002582604032 0.06552778495167787 140519 1 "3789" "Walmart Parking Lot" "05:50:00" 140520 2 "3794" "Walmart Parking Lot" "05:50:01"
1261 "2819020" "1A" 235.90002582604032 0.06552778495167787 113032 1 "3789" "Walmart Parking Lot" "07:50:00" 113033 2 "3794" "Walmart Parking Lot" "07:50:01"
1321 "2633020" "1A" 235.90002582604032 0.06552778495167787 105623 1 "3789" "Walmart Parking Lot" "08:20:00" 105624 2 "3794" "Walmart Parking Lot" "08:20:01"
1229 "1692010" "1A" 235.90002582604032 0.06552778495167787 67990 1 "3789" "Walmart Parking Lot" "10:00:00" 67991 2 "3794" "Walmart Parking Lot" "10:00:01"
1308 "483010" "1A" 235.90002582604032 0.06552778495167787 19733 1 "3789" "Walmart Parking Lot" "08:40:00" 19734 2 "3794" "Walmart Parking Lot" "08:40:01"
1223 "1016010" "1A" 235.90002582604032 0.06552778495167787 40773 1 "3789" "Walmart Parking Lot" "12:40:00" 40774 2 "3794" "Walmart Parking Lot" "12:40:01"
1324 "2873010" "1A" 235.90002582604032 0.06552778495167787 114995 1 "3789" "Walmart Parking Lot" "06:00:00" 114996 2 "3794" "Walmart Parking Lot" "06:00:01"
1259 "3068010" "1A" 235.90002582604032 0.06552778495167787 122389 1 "3789" "Walmart Parking Lot" "11:20:00" 122390 2 "3794" "Walmart Parking Lot" "11:20:01"
1312 "3641010" "1A" 235.90002582604032 0.06552778495167787 144750 1 "3789" "Walmart Parking Lot" "06:40:00" 144751 2 "3794" "Walmart Parking Lot" "06:40:01"
1281 "2280010" "1A" 235.90002582604032 0.06552778495167787 91346 1 "3789" "Walmart Parking Lot" "23:20:00" 91347 2 "3794" "Walmart Parking Lot" "23:20:01"
1279 "1391010" "1A" 235.90002582604032 0.06552778495167787 55894 1 "3789" "Walmart Parking Lot" "15:20:00" 55895 2 "3794" "Walmart Parking Lot" "15:20:01"
1244 "2131010" "1A" 235.90002582604032 0.06552778495167787 85407 1 "3789" "Walmart Parking Lot" "07:20:00" 85408 2 "3794" "Walmart Parking Lot" "07:20:01"
1248 "4471010" "1A" 235.90002582604032 0.06552778495167787 177206 1 "3789" "Walmart Parking Lot" "09:20:00" 177207 2 "3794" "Walmart Parking Lot" "09:20:01"
1284 "998010" "1A" 235.90002582604032 0.06552778495167787 40146 1 "3789" "Walmart Parking Lot" "22:00:00" 40147 2 "3794" "Walmart Parking Lot" "22:00:01"
1256 "4409020" "1A" 235.90002582604032 0.06552778495167787 174768 1 "3789" "Walmart Parking Lot" "05:50:00" 174769 2 "3794" "Walmart Parking Lot" "05:50:01"
1288 "1861010" "1A" 235.90002582604032 0.06552778495167787 74691 1 "3789" "Walmart Parking Lot" "22:40:00" 74692 2 "3794" "Walmart Parking Lot" "22:40:01"
1317 "388020" "1A" 235.90002582604032 0.06552778495167787 15930 1 "3789" "Walmart Parking Lot" "08:50:00" 15931 2 "3794" "Walmart Parking Lot" "08:50:01"
1237 "2720010" "1A" 235.90002582604032 0.06552778495167787 109119 1 "3789" "Walmart Parking Lot" "08:00:00" 109120 2 "3794" "Walmart Parking Lot" "08:00:01"
1224 "1958020" "1A" 235.90002582604032 0.06552778495167787 78390 1 "3789" "Walmart Parking Lot" "06:20:00" 78391 2 "3794" "Walmart Parking Lot" "06:20:01"
1257 "3057010" "1A" 235.90002582604032 0.06552778495167787 121919 1 "3789" "Walmart Parking Lot" "14:40:00" 121920 2 "3794" "Walmart Parking Lot" "14:40:01"
1240 "2498020" "1A" 235.90002582604032 0.06552778495167787 100095 1 "3789" "Walmart Parking Lot" "07:20:00" 100096 2 "3794" "Walmart Parking Lot" "07:20:01"
1299 "660020" "1A" 235.90002582604032 0.06552778495167787 26958 1 "3789" "Walmart Parking Lot" "06:50:00" 26959 2 "3794" "Walmart Parking Lot" "06:50:01"
1289 "1846010" "1A" 235.90002582604032 0.06552778495167787 74061 1 "3789" "Walmart Parking Lot" "14:00:00" 74062 2 "3794" "Walmart Parking Lot" "14:00:01"
1273 "1991010" "1A" 235.90002582604032 0.06552778495167787 79841 1 "3789" "Walmart Parking Lot" "12:00:00" 79842 2 "3794" "Walmart Parking Lot" "12:00:01"
1294 "2657010" "1A" 235.90002582604032 0.06552778495167787 106668 1 "3789" "Walmart Parking Lot" "10:40:00" 106669 2 "3794" "Walmart Parking Lot" "10:40:01"
1305 "470010" "1A" 235.90002582604032 0.06552778495167787 19212 1 "3789" "Walmart Parking Lot" "13:20:00" 19213 2 "3794" "Walmart Parking Lot" "13:20:01"
leading_or_trailing_whitespaces WARNING 133

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

Only the first 50 of 133 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" 7175 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 7176 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 7177 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 7178 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 7179 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 13432 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 13433 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 13434 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 13435 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 13436 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 62448 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62449 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62450 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62451 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62452 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62453 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62454 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62455 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62456 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62457 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62458 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62459 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62460 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62461 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62462 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62463 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62464 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62465 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62466 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62467 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 62468 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 63433 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 63434 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 63435 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 63436 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 63437 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 75383 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 75384 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 75385 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 75386 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 75387 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 85662 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 85663 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 85664 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 85665 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 85666 "stop_headsign" "29X DOWNTOWN RICHMOND "
"stop_times.txt" 119543 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 119544 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 119545 "stop_headsign" "64X DOWNTOWN RICHMOND "
"stop_times.txt" 119546 "stop_headsign" "64X DOWNTOWN RICHMOND "
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 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"
mixed_case_recommended_field WARNING 5762

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 5762 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" "CHAMBERLAYNE/DOWNTOWN" 2
"routes.txt" "route_long_name" "CHURCH HILL" 3
"routes.txt" "route_long_name" "HERMITAGE/EAST MAIN" 4
"routes.txt" "route_long_name" "HENRICO GOVERNMENT CENTER" 5
"routes.txt" "route_long_name" "WEST BROAD STREET" 6
"routes.txt" "route_long_name" "HULL/MIDLOTHIAN/ SOUTHSIDE PLAZA" 7
"routes.txt" "route_desc" "HULL/MIDLOTHIAN/ SOUTHSIDE PLA" 7
"routes.txt" "route_long_name" "HULL/WARWICK/SOUTHSIDE PLAZA" 8
"routes.txt" "route_long_name" "HULL/ELKHARDT/SOUTHSIDE PLAZA" 9
"routes.txt" "route_long_name" "x GASKINS EXPRESS" 11
"routes.txt" "route_long_name" "NORTH AVE/FOREST HILL" 12
"routes.txt" "route_long_name" "NORTH AVE/JAHNKE/MIDLOTHIAN" 13
"routes.txt" "route_long_name" "NORTH AVE/MIDLOTHIAN/BELT BLVD" 14
"routes.txt" "route_long_name" "HIGHLAND PARK/U.S. 1/HARWOOD" 15
"routes.txt" "route_long_name" "HIGHLAND PARK/U.S. 1/BRIGHTPOINT" 16
"routes.txt" "route_desc" "HIGHLAND PARK/U.S. 1/BRIGHTPOI" 16
"routes.txt" "route_long_name" "HIGHLAND PARK/HARWOOD/U.S. 1" 17
"routes.txt" "route_long_name" "CARY/MAIN/WHITCOMB" 20
"routes.txt" "route_long_name" "BROAD STREET" 21
"routes.txt" "route_long_name" "x STONY POINT EXPRESS" 22
"routes.txt" "route_long_name" "CARY/MAYMONT" 25
"routes.txt" "route_long_name" "PATTERSON/PARHAM" 26
"routes.txt" "route_long_name" "NINE MILE/AIRPORT" 27
"routes.txt" "route_long_name" "NINE MILE/LABURNUM/AIRPORT" 28
"routes.txt" "route_long_name" "x COMMONWEALTH 20 EXPRESS" 29
"routes.txt" "route_long_name" "BROAD ROCK/WALMSLEY" 30
"routes.txt" "route_long_name" "BELLEMEADE/HOPKINS" 31
"routes.txt" "route_long_name" "BELT/BELLS/RUFFIN" 32
"routes.txt" "route_long_name" "LABURNUM CONNECTOR" 33
"routes.txt" "route_long_name" "x RICHMOND/PETERSBURG EXPRESS" 34
"routes.txt" "route_long_name" "BRT PULSE" 35
"stops.txt" "stop_name" "THREE CHOPT + DRIVE TO D FREEMAN HIGH SCHOOL" 2
"stops.txt" "stop_name" "THREE CHOPT + CAMDEN" 3
"stops.txt" "stop_name" "THREE CHOPT + BEVERLY" 4
"stops.txt" "stop_name" "SANTA ROSA + THREE CHOPT" 5
"stops.txt" "stop_name" "SANTA ROSA + FRANKLIN FARMS" 6
"stops.txt" "stop_name" "ROLLING HILLS & DISCOVERY" 7
"stops.txt" "stop_name" "FOREST + HENRICO DOCTORS HOSPITAL" 8
"stops.txt" "stop_name" "SKIPWITH + SCHOOL BUILDING" 9
"stops.txt" "stop_name" "SKIPWITH + PARKLINE" 10
"stops.txt" "stop_name" "THREE CHOPT + SKIPWITH" 11
"stops.txt" "stop_name" "THREE CHOPT + PARK" 12
"stops.txt" "stop_name" "PATTERSON + THREE CHOPT" 13
"stops.txt" "stop_name" "PATTERSON + RIPLEY" 14
"stops.txt" "stop_name" "PATTERSON + HONAKER" 15
"stops.txt" "stop_name" "PATTERSON + CHANTECLER" 16
"stops.txt" "stop_name" "PATTERSON + PEPPER" 17
"stops.txt" "stop_name" "PATTERSON + ALGOMA" 18
"stops.txt" "stop_name" "PATTERSON + MAPLE" 19
"stops.txt" "stop_name" "PATTERSON + LIBBIE" 20
route_long_name_contains_short_name WARNING 1

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`.
"BRT" 35 "BRT" "BRT PULSE"