Exploring the resilience assessment framework of urban road network for sustainable cities

Zhizhen Liu, Hong Chen, Enze Liu and Wanyu Hu

Physica A: Statistical Mechanics and its Applications, 2022, vol. 586, issue C

Abstract: Urban space for new transportation facilities cannot meet the increasing traffic demand. Afterward, scholars gradually increased attention to the resilience evaluation of urban road networks. Therefore, we proposed a resilience assessment framework of the urban road networks, including the resilience performance index, the robustness index, and the recovery index. Then we simulated the cascading failure based on a nonlinear load-capacity model with two capacity control parameters: α and β. Results show that the intersection-based attack has the most significant impact on resilience, and resilience is positively correlated with the node degree of the attacked intersection. The increase of α and β could enhance the resilience, and the urban road network achieves the best resilience performance when α=0.3,β=0.5. Compared with the deliberate attack strategy, the resilience performance under the random attack strategy is more robust. This research can provide the foundation for optimizing urban road networks and multi-mode urban public transit networks.

Keywords: Resilience; Urban road network; Cascading failure; Load-capacity model; Deliberate attack; Random attack (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:586:y:2022:i:c:s037843712100738x

DOI: 10.1016/j.physa.2021.126465

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