带有多重能力等级选择的内陆港选址问题研究

为促进资源的合理利用,减少内陆港的重复建设,以系统总成本,包括建设成本和运输成本最小为目标函数,并考虑内陆港的通过能力限制,构建了两阶段的带有多重能力等级选择的内陆港选址模型,同时设计遗传算法求解.东北地区的实例分析结果表明,从系统最优角度出发,还应增设通过能力分别为5万TEU和15万TEU的齐齐哈尔内陆港、佳木斯内陆港,并形成由近、中、远距离内陆港群构成的区域内陆运输节点布局.结果同时表明,在选址决策中加入对通过能力的选择,可以使内陆港的布局与内陆地区的运输需求分布更加趋于均衡,减少不必要投资,提高资源使用效率.

Inland Port Location Problem with Multiple Capacity Level Choices

With the aim of utilizing resources reasonably and decreasing repeated construction, a two-stage inland port location model with multiple capacity level choices is proposed. The model takes capacity constraint into consideration. Its objective is to minimize total cost, which includes fix-up cost and transportation cost. Genetic algorithm is applied as the solving technique. A case study of Northeast China is presented and shows two more optimal inland ports, namely Qiqihar and Jiamusi are selected considering systematic optimum, and the corresponding capacity are 50 and 150 thousand TEU. With respect to the result, a regional inland transportation nodes layout consists of dense, middle range and distant inland ports clusters is formed. Meanwhile, the result also indicates the choice of capacity in inland port’s location decision making is crucial to balance the layout of inland ports and the distribution of inland transportation demands, reduce unnecessary investment and increase utilization efficiency of resources.