Evaluation of Urban Resilience Based on Entropy Weight Cloud Model—31 Provinces in China

Jiali Deng (), Liudan Jiao (), Yinghan Zhu, Yu Zhang and Xiangnan Song ()
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Jiali Deng: Chongqing Jiaotong University
Liudan Jiao: Chongqing Jiaotong University
Yinghan Zhu: Chongqing Jiaotong University
Yu Zhang: Chongqing Jiaotong University
Xiangnan Song: Guangzhou University

A chapter in Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 1477-1489 from Springer

Abstract: Abstract In recent years, the frequent occurrence of extreme weather, urban overpopulation, resulting in excessive use of resources, serious environmental pollution, traffic congestion and other issues have become increasingly significant, has seriously affected the stability and order of the city, and gradually exposed the vulnerability of the urban system. In order to understand the level of urban resilience in China and strengthen the construction of resilient cities in China, a resilience index system including 16 secondary indicators from four dimensions of economic level, social development, ecological environment and infrastructure was proposed. Entropy Weight Method and Cloud Model were used to evaluate 31 provinces and cities. It was concluded that the urban resilience of Beijing was at a high level, while Hainan and Guizhou were at a low level, Shanghai and Jiangsu are at a higher level, Tianjin and Hebei are at a lower level, and Zhejiang and Shandong are at a medium level. This paper analyzes the calculation results and puts forward corresponding suggestions in order to promote the sustainable development of cities in China.

Keywords: Entropy weight method; Cloud model; Urban resilience (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-3587-8_101

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DOI: 10.1007/978-981-16-3587-8_101

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