Research Projects
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- "Loading and unloading zones and infrastructure"
Zones and space restricted to loading and unloading activity.
Start Date: April 2024
Funding: U.S. Department of Transportation (USDOT) SMART (Strengthening Mobility and Revolutionizing Transportation) Grants Program, Cityfi (prime contractor)
Project Budget: $43,800
Principal Investigator(s): Dr. Anne Goodchild
Partner(s): Cityfi, Urban Health Partnerships, Automotus, Blue Systems, INRIX, Miami Parking Authority
Summary:
The Urban Freight Lab is a key technical and research partner on the Miami-Dade County SMART Curbs Program, part of a multi-city effort funded by the U.S. Department of Transportation to improve curb management, bike lane safety, and zero-emission last-mile delivery.
The Urban Freight Lab is a key technical and research partner on the Miami-Dade County SMART Curbs Program, part of a multi-city effort funded by the U.S. Department of Transportation to improve curb management, bike lane safety, and zero-emission last-mile delivery.
Start Date: February 2018
Funding: City of Seattle Department of Transportation (SDOT), Pacific Northwest Transportation Consortium (PacTrans)
Project Budget: $310,000
Summary:
The Urban Freight Lab conducted an alley inventory and truck load/unload occupancy study for the City of Seattle. Researchers collected data identifying the locations and infrastructure characteristics of alleys within Seattle's One Center City planning area, which includes the downtown, uptown, South Lake Union, Capitol Hill, and First Hill urban centers. The resulting alley database includes GIS coordinates for both ends of each alley, geometric and traffic attributes, and photos.
The Urban Freight Lab conducted an alley inventory and truck load/unload occupancy study for the City of Seattle. Researchers collected data identifying the locations and infrastructure characteristics of alleys within Seattle's One Center City planning area, which includes the downtown, uptown, South Lake Union, Capitol Hill, and First Hill urban centers. The resulting alley database includes GIS coordinates for both ends of each alley, geometric and traffic attributes, and photos.