Research on spatio-temporal cascade failure model of urban road network

Sudden natural disasters such as rainstorms and geological disasters will have a significant impact on the road network. The failure of road networks caused by disasters has spatiotemporal characteristics, and in-depth research on the spatiotemporal cascading failure model of road networks under disaster conditions is of great significance for ensuring road network traffic and improving management. This article uses the L-space method to abstract the road network, and combines complex network indicators such as node degree, node betweenness, and degree indicators to analyze the spatiotemporal distribution characteristics of different nodes. The coupled image grid method is used to analyse the cascading failure phenomena of key nodes in urban road networks under different external disturbances and road topology coupling strengths. Finally, taking the urban road network in Xi'an as an example, the correctness of the proposed method is demonstrated by comparing the simulation experiment results with the actual road network failure results.

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Publication Details

Journal
IET conference proceedings.
Published
2025-03-01
DOI
https://doi.org/10.1049/icp.2025.0369
Primary Topic
Evaluation and Optimization Models
Type
article
Field-Weighted Citation Impact
0.00
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Research on spatio-temporal cascade failure model of urban road network

Ai Jia, Meng Hui, Kang Li, Qun Ma et al.
IET conference proceedings.
Evaluation and Optimization Models
article

Research on spatio-temporal cascade failure model of urban road network

Ai Jia, Meng Hui, Kang Li, Qun Ma, Hao Zhang, Shenghao Pan
article en

Abstract

Sudden natural disasters such as rainstorms and geological disasters will have a significant impact on the road network. The failure of road networks caused by disasters has spatiotemporal characteristics, and in-depth research on the spatiotemporal cascading failure model of road networks under disaster conditions is of great significance for ensuring road network traffic and improving management. This article uses the L-space method to abstract the road network, and combines complex network indicators such as node degree, node betweenness, and degree indicators to analyze the spatiotemporal distribution characteristics of different nodes. The coupled image grid method is used to analyse the cascading failure phenomena of key nodes in urban road networks under different external disturbances and road topology coupling strengths. Finally, taking the urban road network in Xi'an as an example, the correctness of the proposed method is demonstrated by comparing the simulation experiment results with the actual road network failure results.

IET conference proceedings.Vol. 2024(35)
Chang'an University (CN)
Sustainable cities and communities
Openalex Percentile: Top 94%
Evaluation and Optimization Models
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