Analyzing the Resilience of Traffic Network Based on Independent Path: A Case Study of High-speed Railway Network in the Yangtze River Delta Urban Agglomeration
ID:6 View Protection:ATTENDEE Updated Time:2021-12-20 15:43:09 Hits:416 Poster Presentation

Start Time:2021-12-17 08:23(Asia/Shanghai)

Duration:1min

Session:P2 Poster2021 » P2T4Track 4 Transportation Behavior, Safety and Security

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Abstract
The resilience of a traffic network is critical for emergency relief in a public emergency. This paper evaluates the resilience of the high-speed railway network in the Yangtze River Delta based on the independent path. The dominance and vulnerability of nodes and edges are analyzed by node blockage and edge disruption simulation. The results show that the resilience of a node is basically consistent with the number of independent paths. Hangzhou, Nanjing, and Shanghai are the most dominant nodes. Their blockage will reduce the resilience of the traffic network by 55.02%, 48.41% and 41.86%, respectively. Meanwhile, their blockage will obviously reduce the resilience of vulnerable nodes such as Lianyungang and Huzhou. The most dominant edge is from Shanghai to Hangzhou, its disruption will reduce the network resilience by 26.18%. Hangzhou and Hefei, as cities with high dominance and high vulnerability, need to formulate contingency plans to reduce their vulnerability.
 
Keywords
Resilience;Traffic Network;Independent Path;High-speed Railway;Urban Agglomeration;Yangtze River Delta
Speaker
Xinghua Liu
Ph.D. Candidate Tongji University

Xinghua Liu was born in Baiying, China. He received the bachelor degree from the Southwest Jiaotong University, Chengdu, China, in 2019. He is studying for his doctor's degree in Tongji University, Shanghai, China. His main research interests include shared mobility, transport data mining and modeling, on-demand service, transport resilience.
 

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