regional-transportation-district — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-19T18:47:40Z,
for the dataset file:///shared/regional-transportation-district_c2bbf668.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Regional Transportation District
- website: http://rtd-denver.com
- phone number:
- email: Not provided

Feed Info

Publisher Name:
RTD: Publisher URL:
http://rtd-denver.com: Feed Email:
N/A: Feed Language:
English: Feed Start Date:
2026-06-07: Feed End Date:
2026-09-26: Service Window:
2026-06-07 to 2026-09-26 (?) The range of service dates covered by the feed, based on trips with an associated service_id in calendar.txt and/or calendar_dates.txt

Files included

agency.txt
calendar.txt
calendar_dates.txt
feed_info.txt
routes.txt
shapes.txt
stop_times.txt
stops.txt
trips.txt

Counts

Agencies: 1
Blocks: 851
Routes: 125
Shapes: 464
Stops: 7570
Trips: 21501

GTFS Features included (?) GTFS features provide a standardized vocabulary to define and describe features that are officially adopted in GTFS.

ShapesFeed InformationRoute ColorsHeadsignsStops Wheelchair AccessibilityLocation Types

Specification Compliance report

116 notices reported (0 errors, 68 warnings, 48 infos)

Notice Code Severity Total

fast_travel_between_consecutive_stops WARNING 58

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 58 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.
14422	"115887431"	"46"	580.063861007413	0.16112885027983695	460894	38	"26132"	"Yale Station Gate A"	"18:43:00"	460895	39	"17315"	"Yale Ave & S Forest St"	"18:43:01"
14494	"115887503"	"46"	580.063861007413	0.16112885027983695	460894	38	"26132"	"Yale Station Gate A"	"18:43:00"	460895	39	"17315"	"Yale Ave & S Forest St"	"18:43:01"
14414	"115887423"	"46"	580.063861007413	0.16112885027983695	460430	38	"26132"	"Yale Station Gate A"	"12:43:00"	460431	39	"17315"	"Yale Ave & S Forest St"	"12:43:01"
14502	"115887511"	"46"	580.063861007413	0.16112885027983695	460430	38	"26132"	"Yale Station Gate A"	"12:43:00"	460431	39	"17315"	"Yale Ave & S Forest St"	"12:43:01"
14429	"115887438"	"46"	580.063861007413	0.16112885027983695	461300	38	"26132"	"Yale Station Gate A"	"16:13:00"	461301	39	"17315"	"Yale Ave & S Forest St"	"16:13:01"
14484	"115887493"	"46"	580.063861007413	0.16112885027983695	461300	38	"26132"	"Yale Station Gate A"	"16:13:00"	461301	39	"17315"	"Yale Ave & S Forest St"	"16:13:01"
14434	"115887443"	"46"	580.063861007413	0.16112885027983695	461590	38	"26132"	"Yale Station Gate A"	"13:43:00"	461591	39	"17315"	"Yale Ave & S Forest St"	"13:43:01"
14504	"115887513"	"46"	580.063861007413	0.16112885027983695	461590	38	"26132"	"Yale Station Gate A"	"13:43:00"	461591	39	"17315"	"Yale Ave & S Forest St"	"13:43:01"
14428	"115887437"	"46"	580.063861007413	0.16112885027983695	461242	38	"26132"	"Yale Station Gate A"	"16:43:00"	461243	39	"17315"	"Yale Ave & S Forest St"	"16:43:01"
14485	"115887494"	"46"	580.063861007413	0.16112885027983695	461242	38	"26132"	"Yale Station Gate A"	"16:43:00"	461243	39	"17315"	"Yale Ave & S Forest St"	"16:43:01"
14417	"115887426"	"46"	580.063861007413	0.16112885027983695	460604	38	"26132"	"Yale Station Gate A"	"10:43:00"	460605	39	"17315"	"Yale Ave & S Forest St"	"10:43:01"
14499	"115887508"	"46"	580.063861007413	0.16112885027983695	460604	38	"26132"	"Yale Station Gate A"	"10:43:00"	460605	39	"17315"	"Yale Ave & S Forest St"	"10:43:01"
14450	"115887459"	"46"	580.063861007413	0.16112885027983695	462468	38	"26132"	"Yale Station Gate A"	"11:44:00"	462469	39	"17315"	"Yale Ave & S Forest St"	"11:44:01"
14421	"115887430"	"46"	580.063861007413	0.16112885027983695	460836	38	"26132"	"Yale Station Gate A"	"08:43:00"	460837	39	"17315"	"Yale Ave & S Forest St"	"08:43:01"
14495	"115887504"	"46"	580.063861007413	0.16112885027983695	460836	38	"26132"	"Yale Station Gate A"	"08:43:00"	460837	39	"17315"	"Yale Ave & S Forest St"	"08:43:01"
14435	"115887444"	"46"	580.063861007413	0.16112885027983695	461648	38	"26132"	"Yale Station Gate A"	"13:13:00"	461649	39	"17315"	"Yale Ave & S Forest St"	"13:13:01"
14503	"115887512"	"46"	580.063861007413	0.16112885027983695	461648	38	"26132"	"Yale Station Gate A"	"13:13:00"	461649	39	"17315"	"Yale Ave & S Forest St"	"13:13:01"
14416	"115887425"	"46"	580.063861007413	0.16112885027983695	460546	38	"26132"	"Yale Station Gate A"	"11:43:00"	460547	39	"17315"	"Yale Ave & S Forest St"	"11:43:01"
14500	"115887509"	"46"	580.063861007413	0.16112885027983695	460546	38	"26132"	"Yale Station Gate A"	"11:43:00"	460547	39	"17315"	"Yale Ave & S Forest St"	"11:43:01"
14448	"115887457"	"46"	580.063861007413	0.16112885027983695	462352	38	"26132"	"Yale Station Gate A"	"13:44:00"	462353	39	"17315"	"Yale Ave & S Forest St"	"13:44:01"
14433	"115887442"	"46"	580.063861007413	0.16112885027983695	461532	38	"26132"	"Yale Station Gate A"	"14:13:00"	461533	39	"17315"	"Yale Ave & S Forest St"	"14:13:01"
14505	"115887514"	"46"	580.063861007413	0.16112885027983695	461532	38	"26132"	"Yale Station Gate A"	"14:13:00"	461533	39	"17315"	"Yale Ave & S Forest St"	"14:13:01"
14420	"115887429"	"46"	580.063861007413	0.16112885027983695	460778	38	"26132"	"Yale Station Gate A"	"09:13:00"	460779	39	"17315"	"Yale Ave & S Forest St"	"09:13:01"
14496	"115887505"	"46"	580.063861007413	0.16112885027983695	460778	38	"26132"	"Yale Station Gate A"	"09:13:00"	460779	39	"17315"	"Yale Ave & S Forest St"	"09:13:01"
14427	"115887436"	"46"	580.063861007413	0.16112885027983695	461184	38	"26132"	"Yale Station Gate A"	"17:13:00"	461185	39	"17315"	"Yale Ave & S Forest St"	"17:13:01"
14486	"115887495"	"46"	580.063861007413	0.16112885027983695	461184	38	"26132"	"Yale Station Gate A"	"17:13:00"	461185	39	"17315"	"Yale Ave & S Forest St"	"17:13:01"
14426	"115887435"	"46"	580.063861007413	0.16112885027983695	461126	38	"26132"	"Yale Station Gate A"	"17:43:00"	461127	39	"17315"	"Yale Ave & S Forest St"	"17:43:01"
14487	"115887496"	"46"	580.063861007413	0.16112885027983695	461126	38	"26132"	"Yale Station Gate A"	"17:43:00"	461127	39	"17315"	"Yale Ave & S Forest St"	"17:43:01"
14447	"115887456"	"46"	580.063861007413	0.16112885027983695	462294	38	"26132"	"Yale Station Gate A"	"14:44:00"	462295	39	"17315"	"Yale Ave & S Forest St"	"14:44:01"
14491	"115887500"	"46"	580.063861007413	0.16112885027983695	464726	38	"26132"	"Yale Station Gate A"	"07:43:00"	464727	39	"17315"	"Yale Ave & S Forest St"	"07:43:01"
14454	"115887463"	"46"	580.063861007413	0.16112885027983695	462700	38	"26132"	"Yale Station Gate A"	"18:44:00"	462701	39	"17315"	"Yale Ave & S Forest St"	"18:44:01"
14418	"115887427"	"46"	580.063861007413	0.16112885027983695	460662	38	"26132"	"Yale Station Gate A"	"10:13:00"	460663	39	"17315"	"Yale Ave & S Forest St"	"10:13:01"
14498	"115887507"	"46"	580.063861007413	0.16112885027983695	460662	38	"26132"	"Yale Station Gate A"	"10:13:00"	460663	39	"17315"	"Yale Ave & S Forest St"	"10:13:01"
14453	"115887462"	"46"	580.063861007413	0.16112885027983695	462642	38	"26132"	"Yale Station Gate A"	"08:44:00"	462643	39	"17315"	"Yale Ave & S Forest St"	"08:44:01"
14452	"115887461"	"46"	580.063861007413	0.16112885027983695	462584	38	"26132"	"Yale Station Gate A"	"09:44:00"	462585	39	"17315"	"Yale Ave & S Forest St"	"09:44:01"
14415	"115887424"	"46"	580.063861007413	0.16112885027983695	460488	38	"26132"	"Yale Station Gate A"	"12:13:00"	460489	39	"17315"	"Yale Ave & S Forest St"	"12:13:01"
14501	"115887510"	"46"	580.063861007413	0.16112885027983695	460488	38	"26132"	"Yale Station Gate A"	"12:13:00"	460489	39	"17315"	"Yale Ave & S Forest St"	"12:13:01"
14446	"115887455"	"46"	580.063861007413	0.16112885027983695	462236	38	"26132"	"Yale Station Gate A"	"15:44:00"	462237	39	"17315"	"Yale Ave & S Forest St"	"15:44:01"
14424	"115887433"	"46"	580.063861007413	0.16112885027983695	461010	38	"26132"	"Yale Station Gate A"	"18:13:00"	461011	39	"17315"	"Yale Ave & S Forest St"	"18:13:01"
14489	"115887498"	"46"	580.063861007413	0.16112885027983695	461010	38	"26132"	"Yale Station Gate A"	"18:13:00"	461011	39	"17315"	"Yale Ave & S Forest St"	"18:13:01"
14455	"115887464"	"46"	580.063861007413	0.16112885027983695	462758	38	"26132"	"Yale Station Gate A"	"17:44:00"	462759	39	"17315"	"Yale Ave & S Forest St"	"17:44:01"
14425	"115887434"	"46"	580.063861007413	0.16112885027983695	461068	38	"26132"	"Yale Station Gate A"	"08:13:00"	461069	39	"17315"	"Yale Ave & S Forest St"	"08:13:01"
14488	"115887497"	"46"	580.063861007413	0.16112885027983695	461068	38	"26132"	"Yale Station Gate A"	"08:13:00"	461069	39	"17315"	"Yale Ave & S Forest St"	"08:13:01"
14430	"115887439"	"46"	580.063861007413	0.16112885027983695	461358	38	"26132"	"Yale Station Gate A"	"15:43:00"	461359	39	"17315"	"Yale Ave & S Forest St"	"15:43:01"
14483	"115887492"	"46"	580.063861007413	0.16112885027983695	461358	38	"26132"	"Yale Station Gate A"	"15:43:00"	461359	39	"17315"	"Yale Ave & S Forest St"	"15:43:01"
14431	"115887440"	"46"	580.063861007413	0.16112885027983695	461416	38	"26132"	"Yale Station Gate A"	"15:13:00"	461417	39	"17315"	"Yale Ave & S Forest St"	"15:13:01"
14482	"115887491"	"46"	580.063861007413	0.16112885027983695	461416	38	"26132"	"Yale Station Gate A"	"15:13:00"	461417	39	"17315"	"Yale Ave & S Forest St"	"15:13:01"
14492	"115887501"	"46"	580.063861007413	0.16112885027983695	464784	38	"26132"	"Yale Station Gate A"	"07:13:00"	464785	39	"17315"	"Yale Ave & S Forest St"	"07:13:01"
14449	"115887458"	"46"	580.063861007413	0.16112885027983695	462410	38	"26132"	"Yale Station Gate A"	"12:44:00"	462411	39	"17315"	"Yale Ave & S Forest St"	"12:44:01"
14493	"115887502"	"46"	580.063861007413	0.16112885027983695	464842	38	"26132"	"Yale Station Gate A"	"06:43:00"	464843	39	"17315"	"Yale Ave & S Forest St"	"06:43:01"

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

mixed_case_recommended_field WARNING 6

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 287 & CO 52"	1048
"stops.txt"	"stop_name"	"CO 93 & CO 72"	2952
"stops.txt"	"stop_name"	"CO 93 & CO 128"	4084
"stops.txt"	"stop_name"	"CO 93 & CO 72"	4925
"stops.txt"	"stop_name"	"CO 93 & CO 128"	5034
"stops.txt"	"stop_name"	"US 287 & CO 52"	6127

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`.
"ART"	104	"ART"	"Art District Connector"

stop_without_stop_time WARNING 1

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record.	stopId (?) The id of the faulty stop.	stopName (?) The name of the faulty stop.
1614	"22924"	"Den Commercial Vehicle Holding Area"

unused_shape WARNING 1

unused_shape

Shape is not used in GTFS file trips.txt.

All records defined by GTFS shapes.txt should be used in trips.txt.

You can see more about this notice here.

shapeId (?) The faulty record's id.	csvRowNumber (?) The row number of the faulty record.
"1334008"	91826

platform_without_parent_station INFO 5

platform_without_parent_station

A platform has no parent_station field set.

This is different from location_without_parent_station since it is less severe.

You can see more about this notice here.

csvRowNumber (?) Row number of the faulty record.	stopId (?) The id of the faulty record.	stopName (?) The stop name of the faulty record.
893	"21279"	"Decatur / Federal Station Gate G"
1646	"35576"	"Oak Station Gate E"
1864	"20424"	"W Alamo Ave & S Prince St Gate G"
4680	"35580"	"Clear Creek Crossing Transfer Center Gate C"
6603	"10224"	"Decatur / Federal Station Gate H"

trip_headsign_matches_intermediate_stop INFO 43

trip_headsign_matches_intermediate_stop

Trip headsign matches the name of an intermediate stop, not the last stop.

The trip_headsign matches the stop_name of a stop that is not the last stop of the trip. This may confuse passengers boarding after that stop, since the headsign suggests the vehicle is heading to a stop it has already passed.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record in `trips.txt`.	tripId (?) The id of the trip with the problematic headsign.	tripHeadsign (?) The headsign value that matches an intermediate stop name.	stopId1 (?) The id of the intermediate stop whose name matches the headsign.	stopSequence (?) The stop_sequence value of the intermediate stop that matches the headsign.	stopId2 (?) The id of the actual last stop of the trip.
13212	"115886267"	"Park Meadows Mall"	"25905"	44	"33373"
13213	"115886268"	"Park Meadows Mall"	"25905"	44	"33373"
13214	"115886269"	"Park Meadows Mall"	"25905"	44	"33373"
13215	"115886270"	"Park Meadows Mall"	"25905"	44	"33373"
13216	"115886271"	"Park Meadows Mall"	"25905"	44	"33373"
13217	"115886272"	"Park Meadows Mall"	"25905"	44	"33373"
13218	"115886273"	"Park Meadows Mall"	"25905"	44	"33373"
13219	"115886274"	"Park Meadows Mall"	"25905"	44	"33373"
13220	"115886275"	"Park Meadows Mall"	"25905"	44	"33373"
13221	"115886276"	"Park Meadows Mall"	"25905"	44	"33373"
13222	"115886277"	"Park Meadows Mall"	"25905"	44	"33373"
13223	"115886278"	"Park Meadows Mall"	"25905"	44	"33373"
13224	"115886279"	"Park Meadows Mall"	"25905"	44	"33373"
13225	"115886280"	"Park Meadows Mall"	"25905"	44	"33373"
13226	"115886281"	"Park Meadows Mall"	"25905"	44	"33373"
13227	"115886282"	"Park Meadows Mall"	"25905"	44	"33373"
13245	"115886300"	"Park Meadows Mall"	"25905"	44	"33373"
13246	"115886301"	"Park Meadows Mall"	"25905"	44	"33373"
13247	"115886302"	"Park Meadows Mall"	"25905"	44	"33373"
13248	"115886303"	"Park Meadows Mall"	"25905"	44	"33373"
13249	"115886304"	"Park Meadows Mall"	"25905"	44	"33373"
13250	"115886305"	"Park Meadows Mall"	"25905"	44	"33373"
13251	"115886306"	"Park Meadows Mall"	"25905"	44	"33373"
13252	"115886307"	"Park Meadows Mall"	"25905"	44	"33373"
13253	"115886308"	"Park Meadows Mall"	"25905"	44	"33373"
13254	"115886309"	"Park Meadows Mall"	"25905"	44	"33373"
13255	"115886310"	"Park Meadows Mall"	"25905"	44	"33373"
13267	"115886322"	"Park Meadows Mall"	"25905"	44	"33373"
13268	"115886323"	"Park Meadows Mall"	"25905"	44	"33373"
13269	"115886324"	"Park Meadows Mall"	"25905"	44	"33373"
13270	"115886325"	"Park Meadows Mall"	"25905"	44	"33373"
13271	"115886326"	"Park Meadows Mall"	"25905"	44	"33373"
13272	"115886327"	"Park Meadows Mall"	"25905"	44	"33373"
13273	"115886328"	"Park Meadows Mall"	"25905"	44	"33373"
13274	"115886329"	"Park Meadows Mall"	"25905"	44	"33373"
13275	"115886330"	"Park Meadows Mall"	"25905"	44	"33373"
13276	"115886331"	"Park Meadows Mall"	"25905"	44	"33373"
13277	"115886332"	"Park Meadows Mall"	"25905"	44	"33373"
13278	"115886333"	"Park Meadows Mall"	"25905"	44	"33373"
13279	"115886334"	"Park Meadows Mall"	"25905"	44	"33373"
13280	"115886335"	"Park Meadows Mall"	"25905"	44	"33373"
13281	"115886336"	"Park Meadows Mall"	"25905"	44	"33373"
13282	"115886337"	"Park Meadows Mall"	"25905"	44	"33373"