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Optimizing Courier Routes in Central Business Districts
Determination of efficient distribution routes in central city areas is a challenging task. This chapter describes a multi‐modal model developed for determining the optimal on‐street loading zones for trucks to use to minimize delivery costs taking into account both travel time and distance costs. The unique aspect of this model is that it incorporates a combination of modes (vehicular and active) that are required for central business district (CBD) distribution. Potential applications of the model include investigating the effects of changing the duration limits of loading zones as well as estimating the benefits of introducing charging or reservation systems for on‐street loading zones. The model is tested on a grid network as well as Sydney's CBD. The results produced by the model for the CBD area are compared with tracked delivery routes and costs, and show significant savings.
Optimizing Courier Routes in Central Business Districts
Determination of efficient distribution routes in central city areas is a challenging task. This chapter describes a multi‐modal model developed for determining the optimal on‐street loading zones for trucks to use to minimize delivery costs taking into account both travel time and distance costs. The unique aspect of this model is that it incorporates a combination of modes (vehicular and active) that are required for central business district (CBD) distribution. Potential applications of the model include investigating the effects of changing the duration limits of loading zones as well as estimating the benefits of introducing charging or reservation systems for on‐street loading zones. The model is tested on a grid network as well as Sydney's CBD. The results produced by the model for the CBD area are compared with tracked delivery routes and costs, and show significant savings.
Optimizing Courier Routes in Central Business Districts
Taniguchi, Eiichi (editor) / Thompson, Russell G. (editor)
City Logistics 1 ; 325-341
2018-05-30
17 pages
Article/Chapter (Book)
Electronic Resource
English