基于既有场站的公铁联运转运枢纽选址多目标优化
Multi-Objective Optimization Method for Road-Rail Transshipment Hub Location Based on Existing Stations
为了充分利用既有设施资源,贯彻绿色发展理念,研究了基于铁路既有场站的公铁联运转运枢纽选址优化方法。基于备选站点既有设施能力、改建为公铁联运转运枢纽的估算成本和不同货物品类运输需求,建立了以既有设施能力利用率最大化、联运物流系统运作成本最小化为目标,以公铁联运枢纽选址和不同品类货物分配量为决策变量的非线性0-1混合整数多目标规划模型。对非线性模型作线性化处理后,采用Epsilon约束法求解帕累托最优解集。以H铁路通道区域为例,得到了改建公铁联运转运枢纽的必选、可选和不宜选的站点,并得出以下结论:选建更多数量的转运枢纽有利于充分利用既有场站设施资源,但是伴随着成本投入的迅速增加;对既有设施能力利用率要求较高时,选址模型应细化考虑货物品类,使得到的运量分配方案有利于契合既有设施能力的空间分布和降低成本。
In order to fully utilize existing facilities and achieve green development, this paper studied the optimization method for road-rail transshipment hub location based on existing stations. Based on the capacity of existing facilities at alternative stations, the estimated cost of rebuilding a transport hub, and the freight volume of different categories of goods, a nonlinear 0-1 mixed integer multi-objective programming model was established with the goal of maximizing the utilization of the existing facilities and minimizing the operating costs of the intermodal logistics system, and the decision variables of hub location and freight volume between the freight supply places and transport hubs. After linearizing the nonlinear model, the Pareto optimal solution set was solved using the Epsilon constraint method. In the case study of the H railway corridor, the necessary, optional, and inappropriate stations for rebuilding into transport hubs were obtained, and the following conclusions were drawn: choosing to build more transport hubs was an effective way to improve the utilization of existing facilities, but with the rapid increase in cost investment; when it requires higher utilization rate of existing facility, the location model should consider the categories of goods, of which the volume allocation scheme is conducive to matching the distribution of existing facility capacity at stations and reducing costs.
综合运输 / 转运枢纽选址 / 多目标 / 设施能力 / 货物品类 / Epsilon约束法
comprehensive transportation / transport hub location / multi-objective / facility capacity / goods category / Epsilon-constraint method
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