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A hybrid method for evaluating the resilience of urban road traffic network under flood disaster: An example of Nanjing, China

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Abstract

Urban road traffic network (URTN) plays an important role in city operation, while it is also suffered a lot from the urban flood disasters which caused negative impacts frequently, like traffic congestion, and road collapse. The function loss of URTN not only destroy normal urban life and work order, but also pose a serious threat to people’s lives and properties. Therefore, it is urgent to quantitatively explore the flood resilience of URTN. The concept of resilience puts forward new ideas to help solve the problem of urban flooding disasters from a holistic view. Exploring the flood resilience of urban traffic network may help to mitigate urban flooding and improve the urban resilience. This paper developed a flood resilience evaluation model of URTN, which contains 26 indicators based on the 4R theory. A case study was conducted in southern China to validate the model with real data. It evaluated the urban flood resilience of road traffic network with a comparison of before and after reconstruction of the pipeline. The results demonstrated that the flood resilience of URTN is at a relatively low level in the study area, and the limitation of single traditional engineering measure to the flood resilience of URTN. Suggestions such as strengthening the citizen participation and enhancing the complementary capability of multiple engineering measures are proposed to further promote the flood resilience of the URTN.

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Funding

This work was financially supported by the National Social Science Fund of China (No. 19BGL281) and the National Key R&D Program of China (No. 2018YFD1100202).

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Authors and Affiliations

  1. Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing, 210018, China

    Dezhi Li, Xiongwei Zhu, Guanying Huang & Xin Li

  2. Department of Mechanical and Construction Engineering, Northumbria University, Newcastle, UK

    Haibo Feng

  3. School of Transportation and Civil Engineering, Nantong University, Nanjing, 226007, China

    Shiyao Zhu

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  1. Dezhi Li
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  2. Xiongwei Zhu
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  3. Guanying Huang
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  4. Haibo Feng
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  5. Shiyao Zhu
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  6. Xin Li
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Contributions

Xiongwei Zhu: conceptualization; methodology; writing—original draft. Dezhi Li: supervision; funding acquisition; writing—original draft; supervision. Guanying Huang: investigation, data curation. Haibo Feng: writing—review and editing; Supervision. Shiyao Zhu: writing-review & editing; supervision. Xin Li: investigation, data curation.

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Correspondence to Dezhi Li.

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Li, D., Zhu, X., Huang, G. et al. A hybrid method for evaluating the resilience of urban road traffic network under flood disaster: An example of Nanjing, China. Environ Sci Pollut Res 29, 46306–46324 (2022). https://doi.org/10.1007/s11356-022-19142-w

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