大连海事大学学报 >
2017 , Vol. 43 >Issue 1: 85 - 90
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2017.01.014
基于复杂网络的B2C出口跨境电商关键港口识别
收稿日期: 2016-06-20
修回日期: 2016-07-28
网络出版日期: 2016-07-28
基金资助
交通运输部科技项目（2015328810160）；上海市科委科研计划项目（14DZ2280200；14511107402）；上海海关学院科研创新团队“口岸管理与口岸物流发展”研究成果.
Key ports identification of B2C export cross-border E-commerce based on complex network
Received date: 2016-06-20
Revised date: 2016-07-28
Online published: 2016-07-28
郑丹丹 , 宗康 , 杨斌 , 朱小林 . 基于复杂网络的B2C出口跨境电商关键港口识别[J]. 大连海事大学学报, 2017 , 43(1) : 85 -90 . DOI: 10.16411/j.cnki.issn1006-7736.2017.01.014
In order to effectively identify the key port of B2C export cross-border E-commerce, Firstly, the basic logistics process of B2C export cross-border E-commerce was investigated, then, the ports of export cross-border E-commerce were used as nodes to build the complex network, and the key nodes were identified by using node deletion method combined with AHP algorithm, which were the key ports of B2C export cross-border E-commerce. Finally, domestic top ten ports led by Shanghai port and foreign top ten ports led by Almeria port in Spain were selected according to the importance degree. The identification of key ports has an important reference value for overseas warehouse location and delivery routes of B2C export cross-border E-commerce.
Key words： B2C; export cross-border E-commerce; complex network; key ports
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