Research on the Economic Hinterland Division of Port Sea-Rail Combined Transportation

Chong Ye, Shuai Chen
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Abstract

China's transportation and logistics industry is developing rapidly, but the degree of transportation logistics convergence is not enough, especially the problem of the sea- rail combined transportation is particularly prominent. As a multimodal transport mode in foreign trade activities, the combined transport of sea-rail has the advantages of high efficiency and low cost. With the frequent development of foreign trade activities in the hinterland of the port, the sea rail combined transportation has become an essential way of transportation for the port hinterland to develop international trade, especially for the expansion of the port economic hinterland. The economic hinterland is an important factor in determining the development of the port, and the competition between the ports is also increasingly shown as the contention between the economic hinterland. Based on the theme of dividing the economic hinterland of Xiamen port sea-rail combined transportation, the Kohonen neural network model is constructed to divide the economic hinterland into A, B, C and D classes. According to different types of economic hinterland, targeted management measures are put forward to make reasonable allocation of port resources, increase container throughput of Xiamen port, and enhance the competitiveness of Xiamen port sea rail combined transport.
港海铁联运经济腹地划分研究
中国交通物流业发展迅速,但交通物流衔接程度还不够,特别是海铁联运问题尤为突出。海铁联运作为对外贸易活动中的一种多式联运方式,具有效率高、成本低等优点。随着港口腹地对外贸易活动的频繁开展,海铁联运已成为港口腹地开展国际贸易,特别是扩大港口经济腹地必不可少的运输方式。经济腹地是决定港口发展的重要因素,港口之间的竞争也日益表现为经济腹地之间的争夺。以厦门港海铁联运经济腹地划分为主题,构建Kohonen神经网络模型,将厦门港海铁联运经济腹地划分为A、B、C、D四个等级。针对不同类型的经济腹地,提出有针对性的管理措施,合理配置港口资源,提高厦门港集装箱吞吐量,增强厦门港海铁联运竞争力。
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