交通运输系统工程与信息

交通运输系统工程与信息 ›› 2019, Vol. 19 ›› Issue (6): 231-236.

• 案例分析 • 上一篇    下一篇

世界集装箱海运网络社团结构研究

戈佳威1a, 2，王学锋*1b，万征1b，黄天荣3   

  1. 1. 上海海事大学a. 物流科学与工程研究院，b. 交通运输学院，上海 201306； 2. 塔斯马尼亚大学澳洲海事学院，TAS 7248，澳大利亚； 3. 上海城建职业学院土木与交通工程学院，上海 200438
  • 收稿日期:2019-08-12 修回日期:2019-10-13 出版日期:2019-12-25 发布日期:2019-12-25
  • 作者简介:戈佳威(1993-)，男，上海人，博士生.
  • 基金资助:

    国家留学基金/China Scholarship Council(201908310090)；上海海事大学研究生拔尖创新人才培养计划/Innovative Talent Program for Graduate Student of Shanghai Maritime University(2019YBR003).

Community Structure of World Container Shipping Network

GE Jia-wei1a, 2,WANG Xue-feng1b,WAN Zheng1b, HUANG Tian-rong3   

  1. 1a. Institute of Logistics Science & Engineering, 1b. College of Transport & Communications, Shanghai Maritime University, Shanghai 201306, China; 2. Australian Maritime College, University of Tasmania, TAS 7248, Australia; 3. Institute of Civil and Transport Engineering, Shanghai Urban Construction Vocational College, Shanghai 200438, China
  • Received:2019-08-12 Revised:2019-10-13 Online:2019-12-25 Published:2019-12-25

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摘要：

从复杂网络的角度，探讨世界集装箱海运网络的结构特性，并提出了海运区块划分的新视角. 根据最新数据，验证海运网络的小世界和无标度特征. 基于模块度理论及分辨率理念，将网络进一步细分形成特征各异的三大海运区域和八大区块. 研究结论为：世界集装箱海运网络度分布符合幂为-8.96 的幂律分布；海运网络分布受海峡、运河等自然地理空间限制，具有显著的地理特征；各海运区块活跃程度不一，可以用航线密度为基础的加权平均度变化衡量；海运区块同样具有小世界和无标度特性，且不受网络规模影响；区域枢纽港的聚类系数普遍趋近0.2，为识别大型中转枢纽港提供依据.

关键词: 水路运输, 社团结构, 模块度, 集装箱海运网络, 复杂网络

Abstract:

Based on the complex network theory, this paper discusses the structural characteristics of the world container shipping network and provides a new perspective on the division of maritime regions. The up- to- date data verified the small world and scale- free characteristics of the shipping network. According to the concept of modularity and its resolution, the network is further subdivided into three major maritime regions and eight blocks. The main research findings are: Network distribution is in accordance with the power law distribution (power: - 8.96); Layout of maritime blocks have obvious spatial characteristics restricted by natural geography like straits and canals; Maritime blocks are different in vitality which can be measured by the change of average weighted route density; Maritime blocks also have small worlds and scale-free characteristics in spite of the block scale; The clustering coefficient of regional hub ports generally approaches 0.2, providing a basis for identifying large transit hub ports.

Key words: waterway transportation, community structure, modularity, container shipping network, complex network

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