中国与海上丝绸之路的连通性分析

杨翠香, 宗康, 胡志华

doi:10.12066/j.issn.1007-2861.1891

上海大学学报(自然科学版) >

2018 , Vol. 24 >Issue 3: 495 - 502

DOI: https://doi.org/10.12066/j.issn.1007-2861.1891

研究论文

中国与海上丝绸之路的连通性分析

展开

上海海事大学物流科学与工程研究院, 上海 201306

收稿日期: 2016-12-05

网络出版日期: 2018-06-28

基金资助

国家自然科学基金资助项目(71471109);国家自然科学基金资助项目(71101088);上海市教委科研创新基金重点资助项目(14YZ100);上海市曙光计划项目(13SG48);交通部应用基础研究项目(2015329810260);教育部博士点基金项目(20113121120002)

收起

Analysis of connectivity between China and the Maritime Silk Road

Expand

Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China

Received date: 2016-12-05

Online published: 2018-06-28

Fold

摘要

海上交通是一个国家对外贸易的主要通道,"21世纪海上丝绸之路"战略的提出将形成中国全面对外开放的新格局.基于航运复杂网络, 研究了中国与海上丝绸之路的连通性,即从度分布、度中心性、接近中心性等指标来分析海上丝绸之路航运网络所具有的特征.通过计算机仿真,分别模拟计算了节点失效与边失效致使网络不连通情况的发生给网络带来的破坏性大小.

关键词： 航运网络; 复杂网络; 连通性; 边失效; 点失效

本文引用格式

杨翠香, 宗康, 胡志华 . 中国与海上丝绸之路的连通性分析[J]. 上海大学学报(自然科学版), 2018 , 24(3) : 495 -502 . DOI: 10.12066/j.issn.1007-2861.1891

Abstract

Interconnection of a shipping network is of great significance to the development of the shipping industry and the world trade. China is the advocator of the Maritime Silk Road, and is its origin. To analyze characteristics of the Maritime Silk Road shipping network, connectivity is studied between China and the Maritime Silk Road based on maritime complex networks, relating to the degree distribution, degree centrality, closeness centrality and other indicators. Damage caused by node failure and edge failure due to disconnection of the network is studied through computer simulation.

Key words： shipping network; complex network; connectivity; edge failure; node failure

参考文献

[1]	Liu J, Xiong Q, Shi W, et al. Evaluating the importance of nodes in complex networks[J]. Statistical Mechanics and Its Applications, 2016,452:209-219.
[2]	Jiang J, Lee L H, Chew E P, et al. Port connectivity study: an analysis framework from a global container liner shipping network perspective[J]. Transportation Research, 2015,73:47-64.
[3]	Tovar B, Hernádez R, Rodríuez-Déiz H. Container port competitiveness and connectivity: the Canary Islands main ports case[J]. Transport Policy, 2015,38:40-51.
[4]	Lam J S L, Yap W Y. Dynamics of liner shipping network and port connectivity in supply chain systems: analysis on East Asia[J]. Journal of Transport Geography, 2011,19:1272-1281.
[5]	Wang J S, Wu X P, Yan B, et al. Improved method of node importance evaluation based on node contraction in complex networks[J]. Procedia Engineering, 2011,15:1600-1604.
[6]	Agryzkov T, Oliver J L, Tortosa L, et al. A new betweenness centrality measure based on an algorithm for ranking the nodes of a network[J]. Applied Mathematics and Computation, 2014,244:467-478.
[7]	Ren Z M. Node importance measurement based on the degree and clustering coefficient information[J]. Acta Physica Sinca, 2013,62(12):505.
[8]	陈鑫. 我国海上运输通道脆弱性分析[D]. 大连: 大连海事大学, 2015.
[9]	牟向伟, 陈燕, 杨明, 等. 班轮航运网络拓扑特性[J]. 大连海事大学学报, 2009,35(2):34-37.
[10]	田炜, 邓贵仕, 武佩剑, 等. 世界航运网络复杂性分析[J]. 大连理工大学学报, 2007,47(4):605-609.
[11]	徐梦俏. 世界海运复杂网络中心性研究[D]. 大连: 大连海事大学, 2013.
[12]	彭燕妮. 基于复杂网络理论的集装箱班轮航运网络演化研究[D]. 大连: 大连海事大学, 2014.
[13]	曾庆成, 滕藤. 海上丝绸之路航线网络的复杂性分析[J]. 中国航海, 2015,38(2):122-125.
[14]	陈永盛. 电力系统震后连通性与可靠性研究[D]. 哈尔滨: 中国地震局工程力学研究所, 2010.

Options

文章导航

模态框（Modal）标题

摘要

本文引用格式

Abstract

参考文献