The
city of Doral was
incorporated along with Miami Gardens back in 2003, and its name derives from
the owners of the famous golf resort located within its borders. Doris and
Alfred Kaskel combined their first names to coin the city’s unique moniker.
Thirteen
miles west of downtown Miami and just one mile from Miami International Airport,
approximately 46,000 people live in Doral and many of them own Doral real
estate. In addition, more than 100,000 people work within the city limits in over
700 businesses representing 60 industries, most prominently those featuring aerospace
and logistics.
This
volume of commuter activity along with a rapid population growth and increase
in the sale of Doral real estate, have created significant challenges to the
flow of traffic throughout the city. To ease the congestion for both Doral employees
and residents, the Doral
City Trolley was born in early 2008.
The
trolley is free and operates within the city of Doral under the auspices of the
Miami Dade County Transport between the hours of 7AM to 7PM, with numerous
stops and the route is repeated every hour on the hour. Initially, there was one
trolley servicing only one route. Today there are five trolleys that travel
along three routes and on Friday evenings from 8 to 11 pm, the Doral Trolley
offers a free Social Fridays in Doral
service with stops near local hotels, cultural and entertainment venues.
The
Doral
trolley is unique in that it lets riders see and track the actual status of
the trolley, so they know when their ride is really coming. This eliminates
annoying waiting time that could better be utilized seeing the sights, checking
out Doral real estate or running other errands. Travelers dial a phone number,
enter the STOP NUMBER located on the trolley stop sign and are informed of approximate
arrival time.
As if this isn’t cool enough, in 2011, this tracking
feature became part of a mobile application that is now available at no charge to
the public. The new Doral trolley-tracker displays a map of the city with the locations
of all the trolleys and can calculate the expected arrival time to each stop.
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