交通运输工程

亚洲区域海运网络的结构特性与演化模型

  • 方亮 ,
  • 王杰* ,
  • 梁金鹏 ,
  • 张咪妮
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  • (大连海事大学  交通运输管理学院, 辽宁  大连  116026)
方亮(1972-),男,博士生.

收稿日期: 2014-10-13

  修回日期: 2014-11-05

  网络出版日期: 2015-06-07

基金资助

中央高校基本科研业务费专项基金资助项目(3132014311);教育部哲学社会科学研究重大课题攻关项目(13JZD040).

Structural characteristics and evolution model of Intra-Asia shipping network

  • FANG Liang ,
  • WANG Jie* ,
  • LIANG Jin-peng ,
  • ZHANG Mi-ni
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  • (Transportation Management College,Dalian Maritime University,Dalian 116026,China)

Received date: 2014-10-13

  Revised date: 2014-11-05

  Online published: 2015-06-07

摘要

为深入刻画海运网络的结构特性与演化机制,利用亚洲区域前十大班轮公司的航线、船期及运力数据,构建亚洲区域加权海运网络模型,根据相关指标分析其拓扑结构和权重结构的特性,利用加权BBV模型模拟网络的演化情况.研究结果表明,网络拓扑结构具有较小的平均路径长度和较大的聚类系数,度分布服从正态分布,属于小世界网络;网络权重结构具有较小的聚类系数和较小的平均路径长度,点强度和边权分别服从幂律分布和长尾分布,属于无标度网络.利用BBV模型拟合的仿真网络,与实际海运网络基本一致,说明BBV模型可反映实际网络的演化机制.

本文引用格式

方亮 , 王杰* , 梁金鹏 , 张咪妮 . 亚洲区域海运网络的结构特性与演化模型[J]. 大连海事大学学报, 2015 , 41(2) : 57 -61 . DOI: 10.16411/j.cnki.issn1006-7736.2015.02.010

Abstract

To investigate the structural characteristics and evolution mechanism of shipping network, the weighted Asia shipping network was constructed. The topological and weighted structure were analyzed based on relative index, and BBV model was used to simulate the evolution of shipping network. It is shown that in the topological network the average path length is smaller, and the clustering coefficient is larger, the node degree appear normal distribution. Therefore, the topological structure is a small-world network. For the weighted network, the clustering coefficient and average path length are smaller, the node strength and edge weight appear respectively power-law and long-tail distribution, therefore, classified as scale-free network. Furthermore, the simulation network based on BBV is similar to the shipping network, thus BBV model can simulate the evolution of shipping network.

参考文献

[1]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.
TIAN Wei,DENG Gui-shi,WU Pei-jian,et al. Analysis of complexity in global shipping network [J]. Journal of Dalian University of Technology,2007,47(4):605-609.
[2]HU Yi-hong,ZHU Dao-li.Empirical analysis of the worldwide maritime transportation network [J]. Physica A: Statistical Mechanics and its Applications,2009,388(10):2061-2071.
[3]熊文海. 世界航运网络的结构特性及其动力学行为研究 [D]. 青岛大学,2009.
XIONG Wen-hai. Study of structural characteristics and dynamics of shipping complex network [D]. Qingdao University,2009.
[4]武佩剑. 集装箱班轮航运网络可靠性建模与仿真研究 [D]. 大连理工大学,2010.
WU Pei-jian. Research on reliability modeling and simulation for container liner shipping network [D]. Dalian University of Technology,2010.
[5]Fernando González,Maria Jesus,Freire Seoane et al. Maritime degree, centrality and vulnerability: port hierarchies and emerging areas in containerized transport (2008–2010)  [J]. Journal of Transport Geography,2012,24(3):33-44.
[6]César Ducruet,Céline Rozenblat,Faraz Zaidi. Ports in multi-level maritime networks: evidence from the Atlantic (1996–2006) [J]. Journal of Transport Geography,2010,18(4): 508-518.
[7]Alain Barrat,Marc Barthelemy,Pastor-Satorras et al. The architecture of complex weighted networks [J]. Proceedings of the National Academy of Sciences of the United States of America,2004,101(11):3747-3752.
[8]Lloyd's List Intelligence [DB/OL],[2014-02-14].  www.lloydslist.com.
[9]Alain Barrat,Marc Barthélemy,Alessandro Vespignani. Modeling the evolution of weighted networks [J]. Physical Review E,2004,70(6):132-149.
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