TY - JOUR
T1 - A hybrid method for evaluating the resilience of urban road traffic network under flood disaster
T2 - An example of Nanjing, China
AU - Li, Dezhi
AU - Zhu, Xiongwei
AU - Huang, Guanying
AU - Feng, Haibo
AU - Zhu, Shiyao
AU - Li, Xin
N1 - Funding Information:
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).
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - 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. [Abstract copyright: © 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.]
AB - 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. [Abstract copyright: © 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.]
KW - 4R theory
KW - SWMM model
KW - Urban flood resilience
KW - Urban road traffic network (URTN)
UR - http://www.scopus.com/inward/record.url?scp=85124761272&partnerID=8YFLogxK
U2 - 10.1007/s11356-022-19142-w
DO - 10.1007/s11356-022-19142-w
M3 - Article
C2 - 35167027
SN - 0944-1344
VL - 29
SP - 46306
EP - 46324
JO - Environmental Science and Pollution Research
JF - Environmental Science and Pollution Research
ER -
