Robustness Analysis of Urban Rail Transit Network

doi:10.23940/ijpe.19.10.p23.27622771

Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (10): 2762-2771.doi: 10.23940/ijpe.19.10.p23.27622771

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Robustness Analysis of Urban Rail Transit Network

Hui Xu^a^b^* and Yang Li^a

^aSchool of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
^bDepartment of Building, School of Design and Environment, National University of Singapore, 4 Architecture Drive, 117566, Singapore

Submitted on ; Revised on ; Accepted on
Contact: Xu Hui
About author:
* Corresponding author. E-mail address: xuhui@cqupt.edu.cn
Supported by:
This work was supported by research funds from the National Natural Science Foundation of China (No 71801026), MOE (Ministry of Education in China) Project of Humanities and Social Sciences (No 17YJC630189), and Chongqing Research Program of Basic Research and Frontier Technology (No cstc2017jcyjAX0359)

Abstract

Abstract:

The urban rail transit system is threatened by various kinds of risk events, so it is necessary to explore system robustness and guarantee safe operation. Considering the overall topological structures of urban rail transit network (URTN), the complex network theory is adopted. After calculating the topological parameters and robustness analysis parameters, the attack strategies for URTN are established. The proposed methodology is applied to the Singapore Mass Rapid Transit System. The results demonstrate that malicious attacks have more serious impacts on system robustness than random attacks. In addition, the nodes that link to different sections of the network, connect a cluster of nodes to the main network, or connect to more than one rail transit line are identified as important nodes of the network. The obtained results could supply valuable references for the safety management of URTN. The proposed methodology could also be used for other URTN robustness analyses.

Key words: robustness, urban rail transit network, complex network, system safety

Hui Xu and Yang Li. Robustness Analysis of Urban Rail Transit Network [J]. Int J Performability Eng, 2019, 15(10): 2762-2771.

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