Vulnerability analysis of inland waterways network base on complex network theory

被引:7
作者
Changhai H. [1 ]
Shenping H. [1 ]
Fancun K. [1 ]
Shaoyong X. [1 ]
机构
[1] Merchant Marine College, Shanghai Maritime University, Shanghai
基金
中国博士后科学基金;
关键词
Complex network theory; inland waterways network; network characteristics; random network; vulnerability study;
D O I
10.1080/1206212X.2017.1397385
中图分类号
学科分类号
摘要
Inland waterway transportation system has the advantages of low investment, large capacity, low cost, and low energy consumption, which is an important part of modern comprehensive transportation system. The research on the network characteristics of inland waterways is helpful to strengthen the pertinence of inland waterways network maintenance, improve the emergency response capability of inland waterway, and mitigate the adverse impact of emergencies on the waterways network caused by unexpected events. Complex network theory is an appropriate approach for understanding network dynamics, and it has been applied in studying some transportation networks. In this study, it is introduced into the study of the basic characteristics of inland waterways network and the evolution of the network under different attack scenarios. Taking the inland waterways network of Shanghai as an example, the models of inland waterways network are established based on Primal approach and Dual approach. The characteristics of the network models are analyzed and the network characteristics of the waterways network are obtained, and the evolution of network structure under different attack scenarios is simulated. The discoveries are of great reference significance to the management, planning, and emergency preparedness of the inland waterways network of Shanghai. © 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group.
引用
收藏
页码:67 / 75
页数:8
相关论文
共 14 条
[1]  
Wu L., Wen Y., Zhou C., Et al., Modeling the vulnerability of waterway networks, J Waterway Port Coast Ocean Eng, 140, 4, (2014)
[2]  
Pant R., Barker K., Landers T.L., Dynamic impacts of commodity flow disruptions in inland waterway networks, Comput Ind Eng, 89, C, pp. 137-149, (2014)
[3]  
Baroud H., Barker K., Ramirez-Marquez J.E., Et al., Importance measures for inland waterway network resilience, Transp Res E Logist Transp Rev, 62, 1, pp. 55-67, (2014)
[4]  
Desquesnes G., Nouasse H., Lozenguez G., Et al., A global approach for investigating resilience in inland navigation network dealing with climate change context, Procedia Eng, 154, pp. 718-725, (2016)
[5]  
Nouasse H., Rajaoarisoa L., Doniec A., Et al., Study of drought impact on inland navigation systems based on a flow network model, pp. 1-6, (2015)
[6]  
Klein B., Meissner D., Number G.A., Vulnerability of inland waterway transport and waterway management on hydro-meteorological extremes, (2016)
[7]  
Tanguy M., Napoli A., Modeling the dynamics of maritime territories to assess the vulnerability of the maritime network, (2015)
[8]  
Feng J., Li X., Mao B., Et al., Weighted complex network analysis of the Beijing subway system: train and passenger flows, Phys A, 474, pp. 213-223, (2017)
[9]  
Soh H., Lim S., Zhang T., Et al., Weighted complex network analysis of travel routes on the Singapore public transportation system, Phys A, 389, 24, pp. 5852-5863, (2010)
[10]  
Wang S., Zheng L., Yu D., The improved degree of urban road traffic network: a case study of Xiamen, China, Phys A, 469, pp. 256-264, (2017)