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
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报告开始:2021年12月17日 08:23(Asia/Shanghai)

报告时间:1min

所在会场:[P2] Poster2021 [P2T4] Track 4 Transportation Behavior, Safety and Security

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摘要
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.
 
关键词
Resilience;Traffic Network;Independent Path;High-speed Railway;Urban Agglomeration;Yangtze River Delta
报告人
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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重要日期
  • 会议日期

    12月17日

    2021

    12月20日

    2021

  • 12月16日 2021

    报告提交截止日期

  • 12月24日 2021

    注册截止日期

主办单位
Chinese Overseas Transportation Association
Chang'an University
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