Abstract
This study investigates a multimodal green logistics network design problem of urban agglomeration with stochastic demand, in which different logistics authorities among the different cities jointly optimize the logistics node configurations and uniform carbon taxes over logistics transport modes to maximize the total social welfare of urban agglomeration and consider logistics users’ choice behaviors. The users’ choice behaviors are captured by a logit-based stochastic equilibrium model. To describe the game behaviors of logistics authorities in urban agglomeration, the problem is formulated as two nonlinear bilevel programming models, namely, independent and centralized decision models. Next, a quantum-behaved particle swarm optimization (QPSO) embedded with a Method of Successive Averages (MSA) is presented to solve the proposed models. Simulation results show that to achieve the overall optimization layout of the green logistics network in urban agglomeration the logistics authorities should adopt centralized decisions, construct a multimode logistics network, and make a reasonable carbon tax.
Highlights
The logistics network design problem (LNDP) has been widely studied [1,2,3]
To characterize different decision-making behaviors among multiple local authorities, the multimodal logistics network design problem is formulated as two nonlinear bilevel programming models
We propose a centralized decision model in which logistics authorities cooperate with each other to maximize the total social welfare in urban agglomeration
Summary
The logistics network design problem (LNDP) has been widely studied [1,2,3]. With the development of society and the improvement of people’s living standards, traffic congestion and transportation-related environmental issues have become the focus of attention for scholars and governments [4,5,6]. Against this unsettling backdrop, the traditional single mode of transport does not meet the needs of modern cities. How to design a multimodal logistics network with high efficiency, safety, and environmental friendliness is an important issue to be solved urgently in the development of urban agglomeration logistics
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