DOI: 10.3724/SP.J.1249.2017.05544

Journal of Shenzhen University Science and Engineering (深圳大学学报理工版) 2017/34:5 PP.544-550

Port connectivity model based on complex network and its application

In order to identify the port connectivity status, we select six complex network topological features as the port connectivity indicators and construct the port connectivity model based on the principal component analysis. By collecting and using the service schedule data for six shipping capacity top-ranking liner companies, we build a real shipping network for verifying the feasibility and effectiveness of the port connectivity model. The model is used in evaluating the connectivity of the Fujian ports in the context of the Maritime Silk Road Strategy. The results show that Xiamen port has the strongest connectivity among the three major ports in Fujian, followed by Fuzhou Port and Quanzhou Port. The degree centrality, eigenvector centrality, and the shortest path length have the significant impacts on port connectivity. We put forward several development strategies for ports in Fujian.

Key words:transport system engineering,port connectivity,complex network,principal component analysis,shipping network,Maritime Silk Road

ReleaseDate:2017-10-20 02:07:32

[1] Wilmsmeier G, Hoffmann J, Sanchez R J. The impact of port characteristics on international maritime transport costs[J]. Research in Transportation Economics, 2006, 16(1):117-140.

[2] Reggiani A, Nijkamp P, Lanzi D. Transport resilience and vulnerability:the role of connectivity[J]. Transportation Research Part A:Policy and Practice, 2015, 81:4-15.

[3] Cullinane K, Wang Yuhong. A capacity-based measure of container port accessibility[J]. International Journal of Logistics Research and Applications, 2009, 12(2):103-117.

[4] 李振福,李贺,徐梦俏,等.世界海运网络可达性对比研究[J].大连海事大学学报,2014,40(1):101-104. Li Zhenfu, Li He, Xu Mengqiao, et al. Comparison research on reachability of the global shipping network[J]. Journal of Dalian Maritime University, 2014, 40(1):101-104.(in Chinese)

[5] Hoffmann J. Liner shipping connectivity[J]. UNCTAD Transport Newsletter, 2005, 27(1):4-12.

[6] Tang L C, Low J M W, Lam S W. Understanding port choice behavior:a network perspective[J]. Networks and Spatial Economics, 2011, 11(1):65-82.

[7] Lam J S L, Wei Y Y. Dynamics of liner shipping network and port connectivity in supply chain systems:analysis on East Asia[J]. Journal of Transport Geography, 2011, 19(6):1272-1281.

[8] Tovar B, Hernández R, Rodríguez-Déniz H. Container port competitiveness and connectivity:the Canary Islands main ports case[J]. Transport Policy, 2015, 38(C):40-51.

[9] Jiang Jianlin, 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 Part E:Logistics and Transportation Review, 2015, 73:47-64.

[10] Wang G W Y, Zeng Qingcheng, Li K, et al. Port connectivity in a logistic network:the case of Bohai Bay, China[J]. Transportation Research Part E:Logistics and Transportation Review, 2016, 95:341-354.

[11] 李娜,丰建文,赵毅.具有马氏跳拓扑复杂网络的有限时间同步[J].深圳大学学报理工版,2016,33(4):359-366. Li Na, Feng Jianwen, Zhao Yi. Finite-time synchronization of Markovian jump complex networks[J].Journal of Shenzhen University Science and Engineering, 2016, 33(4):359-366.(in Chinese)

[12] 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 Guishi, Wu Peijian, et al. Analysis of complexity in global shipping network[J]. Journal of Dalian University of Technology, 2007, 47(4):605-609.(in Chinese)

[13] Hu Yihong, Zhu Daoli. Empirical analysis of the worldwide maritime transportation network[J]. Physica A:Statistical Mechanics and its Applications, 2009, 388(10):2061-2071.

[14] Ducruet C, Zaidi F. Maritime constellations:a complex network approach to shipping and ports[J]. Maritime Policy & Management, 2012, 39(2):151-168.

[15] 孙玺菁,司守奎.复杂网络算法与应用[M].北京:国防工业出版社,2015. Sun Xijing, Si Shoukui. Complex network algorithms and applications[M]. Beijing:National Defense Industry Press, 2015.(in Chinese)

[16] 李序颖.应用统计分析方法[M].上海:上海浦江教育出版社,2012. Li Xuying. Applied statistical analysis method[M]. Shanghai:Shanghai Pujiang Education Press, 2012.(in Chinese)

[17] Wang Tingsong, Meng Qiang, Wang Shuaian, et al. Risk management in liner ship fleet deployment:a joint chance constrained programming model[J]. Transportation Research Part E:Logistics and Transportation Review, 2013, 60(4):1-12.

[18] Alphaliner. Top 100 operated fleets[EB/OL]. (2017-02-15).