基于无水港的内陆省参与海上丝绸之路的可持续物流网络

Dry-Port-Based Sustainable Logistics Network for Inland Provinces in Maritime Silk Road

“一带一路”倡议下无水港成为内陆地区构建外向型可持续物流网络的关键节点。本文重点考虑海港与无水港合作关系机制、拥堵与碳排放等环境因素,研究内陆地区利用无水港参与到海上丝绸之路的物流网络布局与货流配置问题。首先,根据海港与无水港合作关系特征,设计了基于OWA的海港-无水港合作成本折扣评价模型,以物流总成本和碳排放量最低为目标,建立了一个腹地-无水港-海港物流网络布局与配置的双目标混合整数规划模型,并通过多目标遗传算法求得pareto最优解的方式进行了模型求解,最后以安徽省为例进行了验证与说明。本文的模型与解决方案为决策者以区域整体视角系统性规划无水港,并利用无水港构建可持续的外向型物流网络提供了决策依据。

Under the background of "the Belt and the Road" initiative, dry ports have become the key nodes in inland regions to build export-oriented sustainable logistics network. This paper focuses on the cooperation mechanism between seaports and dry ports, environmental factors such as congestion and carbon emissions, and studies the logistics network location and allocation problem of inland regions using dry ports to participate in the maritime Silk Road. Firstly, according to the characteristics of cooperation relationship between seaports and dry ports, a logistics cost discount evaluation model between seaports and dry ports based on OWA is designed. On this basis, aiming at the lowest total logistics cost and carbon emissions, a bi-objective mixed integer programming model for location and allocation of logistics network between hinterlands, dry ports and seaports is established, and Pareto optimal solution is obtained by multi-objective genetic algorithm. At last, the model is validated and illustrated by taking Anhui Province as an example. It provides decision-making basis for decision-makers to systematically plan dry ports from a regional perspective and build a sustainable export-oriented logistics network based on dry ports.