{"title":"Research on the Economic Hinterland Division of Port Sea-Rail Combined Transportation","authors":"Chong Ye, Shuai Chen","doi":"10.1109/ICCSE.2018.8468700","DOIUrl":null,"url":null,"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.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 13th International Conference on Computer Science & Education (ICCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2018.8468700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.