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

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  • Liu, Zhizhen
  • Chen, Hong
  • Liu, Enze
  • Hu, Wanyu

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.

Suggested Citation

  • Liu, Zhizhen & Chen, Hong & Liu, Enze & Hu, Wanyu, 2022. "Exploring the resilience assessment framework of urban road network for sustainable cities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    • Handle: RePEc:eee:phsmap:v:586:y:2022:i:c:s037843712100738x
    DOI: 10.1016/j.physa.2021.126465
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    Cited by:

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    3. Yangyang Meng & Xiaofei Zhao & Jianzhong Liu & Qingjie Qi, 2023. "Dynamic Influence Analysis of the Important Station Evolution on the Resilience of Complex Metro Network," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
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    5. Chen, Zhichao & Zheng, Changjiang & Tao, Tongtong & Wang, Yanyan, 2024. "Reliability analysis of urban road traffic network under targeted attack strategies considering traffic congestion diffusion," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    6. Jin, Kun & Wang, Wei & Li, Xinran & Hua, Xuedong & Qin, Shaoyang, 2022. "Exploring the robustness of public transportation system on augmented network: A case from Nanjing China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    7. Jie Liu & Jingrong Zhu & Di Lu & Donghui Yuan & Hossein Azadi, 2023. "The Effectiveness of Improvement Measures in Road Transport Network Resilience: A Systematic Review and Meta-Analysis," Sustainability, MDPI, vol. 15(13), pages 1-17, July.
    8. Wen, Huiying & Ye, Yichen & Zhang, Lin, 2024. "Optimizing road networks in underdeveloped regions for improving comprehensive efficiency integrated by accessibility, vulnerability and socioeconomic interaction," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    9. Jin, Kun & Wang, Wei & Li, Xinran & Hua, Xuedong & Chen, Siyuan & Qin, Shaoyang, 2022. "Identifying the critical road combination in urban roads network under multiple disruption scenarios," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).

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