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

被引:26
作者
Li, Dezhi [1 ]
Zhu, Xiongwei [1 ]
Huang, Guanying [1 ]
Feng, Haibo [2 ]
Zhu, Shiyao [3 ]
Li, Xin [1 ]
机构
[1] Southeast Univ, Sch Civil Engn, Dept Construct & Real Estate, Nanjing 210018, Peoples R China
[2] Northumbria Univ, Dept Mech & Construct Engn, Newcastle Upon Tyne, Tyne & Wear, England
[3] Nantong Univ, Sch Transportat & Civil Engn, Nanjing 226007, Peoples R China
关键词
Urban road traffic network (URTN); Urban flood resilience; 4R theory; SWMM model; INDICATOR; CONTEXT; DRAINAGE;
D O I
10.1007/s11356-022-19142-w
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:46306 / 46324
页数:19
相关论文
共 76 条
  • [11] Urban flood resilience - A multi-criteria index to integrate flood resilience into urban planning
    Bertilsson, Louise
    Wiklund, Karin
    Tebaldi, Isadora de Moura
    Rezende, Osvaldo Moura
    Verol, Aline Pires
    Miguez, Marcelo Gomes
    [J]. JOURNAL OF HYDROLOGY, 2019, 573 : 970 - 982
  • [12] Modeling on the spatial vulnerability of lightning disaster in Bangladesh using GIS and IDW techniques
    Biswas, Rathindra Nath
    Islam, Md. Nazrul
    Mia, Md. Juel
    Islam, M. Nazrul
    [J]. SPATIAL INFORMATION RESEARCH, 2020, 28 (05) : 507 - 521
  • [13] From practice to theory: emerging lessons from Asia for building urban climate change resilience
    Brown, Anna
    Dayal, Ashvin
    del Rio, Cristina Rumbaitis
    [J]. ENVIRONMENT AND URBANIZATION, 2012, 24 (02) : 531 - 556
  • [14] On some formulas for the Horn functions G1(a,b,b′;w,z) and Γ2(b,b′;w,z)
    Brychkov, Yu. A.
    Savischenko, N. V.
    [J]. INTEGRAL TRANSFORMS AND SPECIAL FUNCTIONS, 2020, 31 (10) : 804 - 819
  • [15] A Conceptual Time-Varying Flood Resilience Index for Urban Areas: Munich City
    Chen, Kai-Feng
    Leandro, Jorge
    [J]. WATER, 2019, 11 (04)
  • [16] Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport
    Chen, Lichun
    Miller-Hooks, Elise
    [J]. TRANSPORTATION SCIENCE, 2012, 46 (01) : 109 - 123
  • [17] Case Study of a Retrieval Method of 3D Proxy Reflectivity from FY-4A Lightning Data and Its Impact on the Assimilation and Forecasting for Severe Rainfall Storms
    Chen, Yaodeng
    Yu, Zheng
    Han, Wei
    He, Jing
    Chen, Min
    [J]. REMOTE SENSING, 2020, 12 (07)
  • [18] Flood Resilience of Urban River Restoration Projects: Case Studies in Hong Kong
    Chia, Bernadette
    Wang, Yuhong
    Chen, Yang
    [J]. JOURNAL OF MANAGEMENT IN ENGINEERING, 2020, 36 (05)
  • [19] Cimellaro, 2007, ENG MECH, V10, P123
  • [20] A SNA-based methodology for measuring the community resilience from the perspective of social capitals: Take Nanjing, China as an example
    Cui, Peng
    Li, Dezhi
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2020, 53