China's strategies for promoting differentiated urban resilience measurement from the social ecosystem perspective

被引:9
作者
Luo, Xixi [1 ]
Liu, Quanlong [1 ]
Song, Xuefeng [1 ]
机构
[1] China Univ Min & Technol, Sch Management, Xuzhou 221116, Jiangsu, Peoples R China
关键词
China; cloud model; entropy weight method; social-ecological system (SES); urban resilience; FRAMEWORK; SUSTAINABILITY; COMMUNITY;
D O I
10.1002/sres.2832
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Building resilient cities has become a hot topic in urban planning and risk management. Adopting the perspective of the social-ecological system (SES), this paper incorporated economy-ecology-society-infrastructure into an integrated research framework and established a system for assessing the urban resilience development level. The entropy weight method was combined with a cloud model to systematically calculate and classify the resilience of 31 provinces (cities) in China. The evaluation results show that (1) the overall level of urban resilience in China was relatively low; the regional analysis showed that (2) the urban resilience of the eastern region was higher than the national average and that of the central and western regions, and from the perspective of the four subsystems, (3) the comprehensive development of each subsystem was the key to improving urban resilience. Finally, five improvement strategies were proposed to provide ideas for enhancing urban SES ability.
引用
收藏
页码:235 / 249
页数:15
相关论文
共 52 条
  • [51] Comprehensive evaluation of national electric power development based on cloud model and entropy method and TOPSIS: A case study in 11 countries
    Zhao, Defu
    Li, Cunbin
    Wang, Qiqing
    Yuan, Jiahai
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 277
  • [52] Safety assessment method for storage tank farm based on the combination of structure entropy weight method and cloud model
    Zhao, Junru
    Tian, Jundong
    Meng, Fanxiang
    Zhang, Meiling
    Wu, Qing
    [J]. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2022, 75