Landslides-oriented urban disaster resilience assessment-A case study in ShenZhen, China

被引:60
|
作者
Zhang, Xiwen [1 ,2 ]
Song, Jing [3 ,4 ]
Peng, Jian [2 ]
Wu, Jiansheng [1 ,2 ]
机构
[1] Peking Univ, Sch Urban Planning & Design, Key Lab Urban Habitat Environm Sci & Technol, Shenzhen 518055, Peoples R China
[2] Peking Univ, Coll Urban & Environm Sci, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China
[3] Univ Hong Kong, Dept Urban Planning & Design, Hong Kong, Peoples R China
[4] Univ Hong Kong, Shenzhen Inst Res & Innovat, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Urban disaster resilience; Rainfall-induced landslides; Physical resilience; Social resilience; Support vector machines (SVM); Delphi-analytic hierarchy process (Delphi-AHP); SUPPORT VECTOR MACHINE; CLIMATE-CHANGE; VULNERABILITY; URBANIZATION; COMMUNITIES; FRAMEWORK; MODEL; ADAPTATION; RECOVERY; RAINFALL;
D O I
10.1016/j.scitotenv.2018.12.074
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the increasing expansion of cities associated with rapid urbanization, the ecological environment is being severely damaged, exposing cities to frequent extreme weather events. Urban ecological ecosystems are under great threat. Research on urban disaster resilience is conducive to a better understanding of disaster prevention and mitigation capacity, and provides valuable references for resilient city construction. In this study, a typical city under rapid urbanization in China - Shenzhen - was chosen as the research area, including the city's 57 sub-districts. Urban disaster resilience to rainfall-induced landslides was conceptually framed into the dimensions of physical resilience and social resilience. Support vector machine (SVM) was applied to evaluate the physical resilience and a Delphi-analytic hierarchy process (Delphi-AHP) model was used to assess social resilience on a sub-district scale in 2016. The results show that the physical resilience and social resilience of Shenzhen demonstrate obvious spatial concentration trends. Areas with low physical resilience were located in sub-districts of Dapeng New District with intense rainfall and complex topography, as well as those in Guangming New District with lateritic red earth derived from arenaceous shale. Areas with low social resilience were mainly located in eastern Shenzhen, including sub-districts in Longgang District and Dapeng New District, with undeveloped economy, inadequate infrastructures and many vulnerable people. All sub-districts in the three districts of Pingshan New District, Dapeng New District and Guangming New District need attention because of their low comprehensive resilience. Comparison of the physical resilience and social resilience indicated that the performance of physical resilience was significantly better than that of social resilience; only 26% of the sub-districts of Shenzhen had a higher level of social resilience than of physical resilience. Therefore, the government should strengthen urban management of social services and physical infrastructure provision to improve social resilience to cope with urban disasters. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:95 / 106
页数:12
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