A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Towards a Smart Urban Freight Plan
Technological advancements in the transportation industry are changing the way planners envision, plan, and manage transportation systems. In the domain of urban freight planning, recently available real-time vehicle data and new analytical tools have opened up new opportunities for planners to enhance understanding and embrace a smarter and more rigorous policy-making process. In late 2016, the New York City Department of Transportation (NYCDOT) started a SMART Truck Management Plan as a key initiative to address the challenges of freight management and achieve the freight goals identified in NYCDOT’s 2016 Strategic Plan. A notable feature of the plan is its keen commitment to the use of new data and tools throughout the development process. This paper provides a detailed description of this data-driven planning process. Specifically, it presents how planners leveraged truck activity data to (1) measure truck movement efficiency, (2) explore the environmental factors behind off-route driving behavior, and (3) identify and prioritize projects and strategies. Through these practices, the paper seeks to initiate a conversation on how today’s cities can capitalize on new data and models to expand the capacity of their freight management systems and adopt a more robust, informed, and integrated planning process.
Towards a Smart Urban Freight Plan
Technological advancements in the transportation industry are changing the way planners envision, plan, and manage transportation systems. In the domain of urban freight planning, recently available real-time vehicle data and new analytical tools have opened up new opportunities for planners to enhance understanding and embrace a smarter and more rigorous policy-making process. In late 2016, the New York City Department of Transportation (NYCDOT) started a SMART Truck Management Plan as a key initiative to address the challenges of freight management and achieve the freight goals identified in NYCDOT’s 2016 Strategic Plan. A notable feature of the plan is its keen commitment to the use of new data and tools throughout the development process. This paper provides a detailed description of this data-driven planning process. Specifically, it presents how planners leveraged truck activity data to (1) measure truck movement efficiency, (2) explore the environmental factors behind off-route driving behavior, and (3) identify and prioritize projects and strategies. Through these practices, the paper seeks to initiate a conversation on how today’s cities can capitalize on new data and models to expand the capacity of their freight management systems and adopt a more robust, informed, and integrated planning process.
Towards a Smart Urban Freight Plan
Dong, Maggie (author) / Singh, Varanesh (author) / Peters, Diniece (author) / Ukegbu, Charles C. N. (author) / Collars, Rosanna (author) / Dack, Joseph (author) / Duan, Lian (author)
International Conference on Transportation and Development 2019 ; 2019 ; Alexandria, Virginia
2019-08-28
Conference paper
Electronic Resource
English
Towards a Smart Urban Freight Plan
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