Resilience evaluation model of urban road network based on betweenness centrality

Gang Li; Shunying Zhu; Hong Wang; Qiucheng Chen; Jingan Wu

doi:10.1117/12.3054644

20 December 2024 Resilience evaluation model of urban road network based on betweenness centrality

Gang Li, Shunying Zhu, Hong Wang, Qiucheng Chen, Jingan Wu

Author Affiliations +

Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 134214B (2024) https://doi.org/10.1117/12.3054644
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China

Abstract

The resilience of urban road networks is a crucial manifestation of a city's ability to respond to various emergencies. Therefore, studying and evaluating the resilience of urban road networks is essential for guiding urban planning and management. In order to quantitatively assess the resilience of urban road networks, a evaluation model based on betweenness centrality was constructed. This model creates a resilience index to quantitatively evaluate the resilience intensity of urban road networks through the betweenness centrality distribution characteristics of road segments in the urban road network. To understand the resilience performance of urban road networks against different types of shocks, two interruption simulation strategies were designed: random attacks and ordered attacks, representing normalized shocks and incidental shocks, respectively. Taking Wuhan, Chongqing, and Nanjing, three typical cities in the Yangtze River Economic Belt, as examples, under normal circumstances, the resilience indices of these three cities are 53.77, 101.45, and 112.82, respectively. This indicates that the road network structure of Nanjing is relatively more reasonable, while that of Wuhan is relatively poor. In the scenario of traffic shocks, we observed that the performance of these three cities facing random attacks was superior to that of facing ordered attacks. Specifically, Nanjing performed relatively strong in response to ordered attacks, Chongqing performed notably well in response to random attacks, while Wuhan's ability to respond was relatively weak under both types of attacks. These findings provide important references for urban planning and management, helping to optimize urban road network structures and enhance the overall resilience level of cities.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Gang Li, Shunying Zhu, Hong Wang, Qiucheng Chen, and Jingan Wu "Resilience evaluation model of urban road network based on betweenness centrality", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 134214B (20 December 2024); https://doi.org/10.1117/12.3054644

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KEYWORDS

Roads

Transportation

Reflection

Natural disasters

Systems modeling

Data acquisition

Emergency preparedness

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