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区域集装箱港口网络布局规划优化模型
引用本文:赵旭,杨赞,靳志宏,计明军.区域集装箱港口网络布局规划优化模型[J].交通运输工程学报,2007,7(3):44-49.
作者姓名:赵旭  杨赞  靳志宏  计明军
作者单位:大连海事大学,交通工程与物流学院,辽宁,大连,116026
基金项目:交通类专业教师在职攻读博士学位基金
摘    要:为了避免运输网络内港口重复建设,实现港口资源的优化配置,综合考虑港口规划者与港口使用者之间的相互作用及决策均衡,以Stackelberg模型为基础,建立了区域内集装箱港口网络布局规划优化模型。为了有效地反映港口使用者个体的特殊性,采用非集计理论,从其自身属性出发,分析了微观货主的选择行为。以各港口的泊位数和相应航线班期密度组成的矩阵作为染色体的一个基因串,考虑模型约束的特殊性,设计了模型求解的遗传算法。模拟实例计算结果表明:在某运输网络内,模拟得到的港口网络布局规划的近似最优解符合实际分析结果,能表明货物运输主体的行为特性和影响因素,利用该模型有利于实现港口网络内资源的优化配置。

关 键 词:交通规划  集装箱港口网络  Stackelberg模型  遗传算法  非集计理论
文章编号:1671-1637(2007)03-0044-06
修稿时间:2006-11-10

Optimization model of network distribution planning on regional container ports
Zhao Xu,Yang Zan,Jin Zhi-hong,Ji Ming-jun.Optimization model of network distribution planning on regional container ports[J].Journal of Traffic and Transportation Engineering,2007,7(3):44-49.
Authors:Zhao Xu  Yang Zan  Jin Zhi-hong  Ji Ming-jun
Institution:School of Traffic Engineering and Logistics, Dalian Maritime University, Dalian 116026, Liaoning, China
Abstract:In order to avoid the repetitive construction of container ports in transportation network,and realize the optimization distribution of ports,the general interaction and decision equilibrium between container port planner and user according to Stackelberg model were considered,and an optimization model of network distribution planning on regional container ports was established.In order to effectively reflect the individual properties of port users,the choice behaviors of micro-shippers were analyzed by using disaggregation theory according to their attributes.A genetic algorithm was designed to solve the model,its initial chromosome was generated by the matrix composed with the numbers of berths and corresponding voyage densities of different container ports,and the particularity of the model restrictions was considered.Example simulation result shows that the model is feasible,the approximative optimization port network planning of example computation accords with real analysis situation,the behaviors and influence factors of shippers can be reflected,and port optimization distribution can be realized.2 tabs,1 fig,16 refs.
Keywords:traffic planning  container port network  Stackelberg model  genetic algorithm  disaggregation theory
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