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Research On The Evaluation Of Urban Resilience In The Post-epidemic Perio

Posted on:2022-12-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y R ChengFull Text:PDF
GTID:2512306770466554Subject:Industrial design engineering
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Along with the rapid development of China’s urbanization level,the vulnerability of cities as a multi-factor closely linked integrated system is increasingly highlighted,and the issue of urban resilience is receiving more and more attention.In particular,the outbreak of COVID-19 in late 2019 has put forward a new test to enhance the resilience of cities in the face of public health emergencies.And a scientific evaluation of urban resilience is a key step to improve urban resilience.In addition,a review of related domestic and international literatures shows that the evaluation of urban resilience mainly focuses on natural disasters such as floods,fires and earthquakes,but few studies have been conducted to evaluate urban resilience under public health emergencies.In view of the above realistic background and theoretical research needs,this study evaluates urban resilience in the post-epidemic period as a research perspective in order to make up for the shortcomings of existing studies.The main research content and process of this study are roughly divided into three parts:(1)The theoretical framework of urban resilience evaluation was determined on the basis of combing the three spatial theories of urban resilience and urban resilience evaluation theory,which consists of four levels(target level-criterion level-detection level-indicator level),and appropriate indicators were selected from the set of influencing factors based on the principles of indicator selection and the four urban resilience characteristics of the detection level to build the urban resilience evaluation system in the post-epidemic period.(2)Based on the principle of minimum discriminative information,a combined G1 and entropy weighting model was constructed for index assignment calculation,and the calculated combined weights were applied to the evaluation model of gray correlation-TOPSIS to form a combined weighting-grey correlation TOPSIS comprehensive evaluation model for urban resilience in the post-epidemic period.(3)27 cities in the Yangtze River Delta city cluster were selected as the target area,and the spatial distribution characteristics of urban resilience,temporal changes of urban resilience and key influencing factors of urban resilience in the target area were empirically analyzed and studied by Matlab2015 b,Arc GIS10.2 and Eviews9.0 software.The research results show that:(1)there are significant spatial distribution differences in urban resilience,The higher,high and medium resilient cities are mostly located in the eastern coast of the Yangtze River Delta in Jiangsu and Zhejiang Province,while the low and low resilient cities are mainly located in the inland area of Anhui Province.In addition,the distribution of the number of urban resilience in the three spatial domains is roughly in the "olive-shaped" structure of small at both ends and large in the middle.(2)For the seven selected representative cities from 2012 to 2020,the change trend of urban resilience time difference is in the shape of "M",while the difference between each other is decreasing year by year,and the change of urban resilience level of each city from 2012 to 2020 is generally fluctuating upward trend.(3)Through the identification of key factors influencing urban resilience,it is found that the resilience of economic conditions for cities has the most significant impact on the overall resilience level of cities.Thus,based on the above evaluation results,countermeasures are proposed in three aspects: promoting regional exchange and cooperation to narrow the spatial and temporal differences in urban resilience,making up for the shortcomings of urban resilience based on urban weaknesses,and taking key factors as a grip to improve the overall urban resilience.It provides a reference for promoting urban resilience construction of the Yangtze River Delta city cluster in the post-epidemic period.
Keywords/Search Tags:post-epidemic period, urban resilience, combination weighting, gray correlation, TOPSIS, Yangtze River Delta urban agglomeration
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