Vulnerability analysis of inland waterways network base on complex network theory. Issue 1 (2nd January 2020)

• Record Type: Journal Article
• Authors: Changhai, Huang; Shenping, Hu; Fancun, Kong; Shaoyong, Xuan
• Is Part Of: International journal of computers and applications. Volume 42:Issue 1(2020)
• Page Start: 67
• Page End: 75
• Publication Date: 2020-01-02
• Subjects: Complex network theory -- inland waterways network -- vulnerability study -- network characteristics -- random network; Computers -- Periodicals; Computer software -- Periodicals; Computer networks -- Periodicals; Multimedia systems -- Periodicals; Internet -- Periodicals; World Wide Web -- Periodicals; Minicomputers -- Periodicals; Microcomputers -- Periodicals; 004.05
• DOI: 10.1080/1206212X.2017.1397385
• Languages: English
• ISSNs: 1206-212X

Abstract

ABSTRACT: 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.