Sixth International Conference on Transportation Engineering
Vulnerable Stations Identification of Urban Rail Transit Network: A Case Study of the Shenzhen Metro
Publication: ICTE 2019
ABSTRACT
Rail transit in major cities in China has developed rapidly and become an essential part of urban transport. However, safety is a significant issue that cannot be ignored. Combined the network structure and passenger flow distribution, the vulnerability of urban rail transit network are analyzed, and the hub stations in the network by their vulnerability are identified. The characteristics of urban rail transit network structure are analyzed by complex network theory. From the perspective of operation, an urban rail transit network model is established considering the load factor. The damage to the station varies according to different emergencies. Attack strategies are classified into random attacks and deliberate attacks which include static and dynamic ones. The consequences of an attack are divided into two cases: full failure and semi-failure. The overall network efficiency loss is used to evaluate the vulnerability of urban rail transit network on the node attacked. Ultimately, the Shenzhen Metro is taken as an example to analyze and evaluate the vulnerability and identify the vulnerable stations, which provide scientific reference and basis for the safety management of urban rail transit networks.
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ACKNOWLEDGEMENT
This research was supported by the Open Research Fund for National Engineering Laboratory of Integrated Transportation Big Data Application Technology (NO. CTBDAT201910). The authors appreciate the data support from Shenzhen Urban Planning & Land Resource Research Center.
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Information & Authors
Information
Published In
ICTE 2019
Pages: 549 - 559
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Jan 13, 2020
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