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Construction And Evaluation For The Influence Factors Of Resilience Of The Complex Urban Public Spaces

Posted on:2021-01-01Degree:MasterType:Thesis
Country:ChinaCandidate:J C YueFull Text:PDF
GTID:2392330614458646Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
As a complex system,the city contains subsystems with different functions and structures.Among them,the city's complex public spaces(including integrated passenger transport hubs,rail transit stations,airport terminals,etc.)are indispensable spaces for human activities.The spatial characteristics and structure are similar to the urban system to a certain extent,and there are differences in function and size.Compared with the urban system,it is mainly reflected in the characteristics of multi-level spatial space,multifunctional classification and integration,and high density of people in the hierarchy.This article refers to urban subsystems with such characteristics as complex urban public spaces.With the rapid advancement of China's complex urban public space construction,while it is expanding,there are more and more risk challenges faced by complex urban public spaces,such as natural risks,management risks,and social risks.These risks are due to large risks.The scale or unreasonable human social activities,as well as the nature's own movement changes,and there are a series of uncertainties in the risk,including the possibility of future disasters,the possible degree of danger,etc.The normal operation of space has an impact.Therefore,in order to measure the degree of risk resistance of complex urban public space,this article introduces the concept of resilience,and conducts relevant research around the construction and evaluation of the influencing factor system of complex urban public space resilience,focusing on solving the importance of complex urban public space.Two scientific studies on the identification of influencing factors of resilience and the evaluation of spatial resilience.The overall idea of this article can be roughly divided into three processes.First,establish an indicator system for the influencing factors of resilience and resilience of complex urban public spaces.This paper mainly summarizes and summarizes the literature on cities and resilience through literature research,and combines the similarity between urban systems and complex urban public space systems,and proposes the concept of resilience in complex urban public spaces;through literature research,expert interviews and The field investigation method is used to establish an indicator system for the influencing factors of the resilience of complex urban public spaces.Second,identify and analyze important indicators of the established system of influencing factors of resilience.On the basis of the constructed index system,an Interpretative Structural Model(ISM)is used to establish a hierarchical structure diagram among the factors,and the weighted proportion of each level is analyzed in conjunction with the network analytic hierarchy process(ANP)to finally obtain the impact of each influencing factor on the overall system resilience The weight value indicates the degree of the influence of the factors.The results show that: the fundamental factor affecting the resilience of the complex urban public space is the geographical location;the important factors are economic development,physical structure,dense crowd flow characteristics and government management.This formulates strategies to enhance the resilience of the city's complex public spaces.And from the four key dimensions of economy,physical structure,government management,and transportation,analyze its impact on the resilience of complex urban public space.Third,the evaluation of the resilience of complex urban public spaces in specific cases.Based on the research on the influencing factors of complex urban public space resilience,the resilience evaluation in specific cases is carried out,combined with the Likert scale,to obtain the scores of various levels of indicators,and through the principal component analysis method,construct complex urban public space Resilience comprehensive score model,the scores of various levels of indicators are substituted into the comprehensive score model constructed in this paper,and finally the city complex public space resilience value is obtained,from which the resilience of the city complex public space in specific cases can be judged and analyzed With evaluation,it provides reference and reference for managers to make decisions.This paper first conducts research on the identification of important factors around the complex urban public space.The results show that: the fundamental factor affecting the resilience of the complex urban public space is the geographical location;the important factors are economic development,physical structure,dense crowd flow characteristics and government management;second,In the evaluation of the resilience of complex urban public spaces,based on the analysis of typical cases,combined with the selected method,a resilience calculation model is constructed.Based on the data support,the resilience values under the typical cases are obtained and analyzed.This article focuses on An evaluation study was conducted on the resilience of complex urban public spaces,and actual cases were used to verify the feasibility of the theoretical research inthis paper.The results show that Chongqing Lianglukou Subway Station(selected typical case)has a poor resilience.The research results of this paper are of great significance for urban disaster prevention and mitigation planning,emergency rescue,and post-disaster recovery.The evaluation of resilience and its influencing factors is conducive to improving the adaptability of complex urban public spaces in response to risk disturbances,reducing the losses suffered by itself,and has important scientific research value for the sustainable development of cities.
Keywords/Search Tags:Complex urban public space, Interpretive structural model, Network analytic hierarchy process, Factor evaluation, Resilience evaluation
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