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Study On Spatial Characteristics Of Living Streets Based On Emotional Maps

Posted on:2021-02-25Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZouFull Text:PDF
GTID:2392330632952175Subject:Architecture
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Living street is an important living space for residents,and it is also the street type with the largest number in the city.However,the rapid urbanization process in recent years has made the living street atmosphere become indifferent,and the planning method that pursues efficiency makes the street space lack of care for people.Pedestrian space is crowded by vehicles,and the buildings along the street are too high and too dense.At present,the research on humanization of living active streets is mainly qualitative,and there are few quantitative research and suggestion indicators.It is difficult to implement the humanistic concept in the actual construction of streets,so the quantitative research on humanization of living streets is imperative.In the perspective of street space perception experience,this article from the humanistic perspective,based on the theory of streets and emotional space theory research results,using the objective data opposite the sentiment active street space characteristics emotions influence and correlation study,living activity by means of quantitative qualitative street humanized try to quantitative research,streets and living activity of humanized design optimization Suggestions.This paper is mainly divided into three parts to discuss the research content:The first part is the introduction.This part discusses the current situation of bioactive streets,the background of times and technologies,and the current situation of relevant researches.It makes clear the significance and possibility of quantitative research on emotional perception experience of living streets,and determines the research object,research purpose and research method framework.The second part is the theoretical research part.This part summarizes the research on emotional space theory and living street space.The mechanism of emotion generation,classification and measurement of emotion,visualization of emotion space and other research contents are mainly discussed.In the part of living street space related research,the current research status is sorted out from the two aspects of spatial form and emotional perception,and the existing research features of living street space are obtained.In this chapter,based on the existing theoretical basis,a scaled research system of "emotional perception-spatial characteristics" was established in this paper,and 23 spatial features were selected according to the four dimensions of perception,so as to lay a good research foundation for the following research and analysis.The third part is the empirical research on the correlation between emotional perception experience and street spatial characteristics,which is the core part of this paper.Through the combination of big data analysis and real state research,the research tracks and analyzes residents' emotional data from the macro-media-micro-scale.Study first to shenyang residents to crawl and the emotion weibo data analysis,macro mood maps to find residents' mood distribution characteristics of macro trends,in the emotional characteristics of a typical area for solid state medium scale research and street fine-grained emotion perception data measure,build medium emotions map out characteristics of the typical street.A total of 46 typical streets in 8 typical areas were selected as the objects of the quantitative study of micro-scale correlation.In this study,real spatial feature data were collected for typical streets,correlation empirical analysis and single-factor binary logistic regression analysis were carried out in combination with emotional perception features,and finally 6 regression equations with high reliability of spatial features were established.Based on the research conclusion,this paper finally puts forward the corresponding humanized design optimization strategy of living street.
Keywords/Search Tags:Living Streets, Emotional Maps, Big Data Technology, Spatial Characteristics, Emotional Perception
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