Entropy maximising facility location model for port city intermodal terminals

被引：26
|
作者：
Teye, Collins [1 ]
Bell, Michael G. H. [1 ]
Bliemer, Michiel C. J. [1 ]
机构：
[1] Univ Sydney, Sch Business, Inst Transport & Logist ITLS, Sydney, NSW 2006, Australia
来源：
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2017年 / 100卷
关键词：
City logistics; Intermodal terminals; Entropy; Facility location; Lagrangian relaxation; INFORMATION-THEORY; NETWORKS; DESIGN; HUBS;
D O I：
10.1016/j.tre.2017.01.006
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This paper employs the principle of entropy maximisation to solve the multi-user inter modal terminal (IMT) location problem in a context where users have the option not to use an IMT. The proposed model is a non-linear mixed integer programming problem, which decomposes into an IMT location sub-problem and an IMT choice sub-problem linked in one direction by the choice of IMT location(s) and in the other by dual variables relating to cost sensitivity and IMT capacity. The principal features of the model are illustrated by a numerical example based on the state of NSW, Australia, where new IMTs are planned. (C) 2017 Elsevier Ltd. All rights reserved.
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页码：1 / 16
页数：16
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