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Spatial Perception Measurement And Optimization Of Streets And Alleys In Qingdao Historic District Based On Street View Images

Posted on:2024-01-23Degree:MasterType:Thesis
Country:ChinaCandidate:M ZhangFull Text:PDF
GTID:2542307160951789Subject:Architecture
Abstract/Summary:PDF Full Text Request
The street space of historic districts is an important part of urban public space,reflecting the local regional characteristics and landscape appearance,and is an important carrier of urban image and spiritual connotation.However,there are currently problems of insufficient originality,environmental homogenization,and excessive commercialization in historic districts,which can affect people’s perception of the quality of the neighborhood space.Although the current research and practice of historic district conservation have established a better framework for the preservation of physical space,the research on the interaction between human and historic space is not sufficient.Traditional research methods have difficulties in making high-precision measurements of large-scale or large-scale perceptions of historic space due to limitations such as high costs and small sample sizes,and more precise and comprehensive research methods and frameworks need to be sought to better understand human-historic space interactions.Therefore,it is necessary to use spatio-temporal big data such as streetscape images for spatial perception measurement and optimization research of historic districts.This study takes the street space of Qingdao’s historic district as the research object,and uses methods such as machine learning and artificial audit platform to quantitatively analyze the spatial perception of 3682 streetscape sampling points with multiple indicators in both subjective and objective dimensions.At the same time,the SHAP method is used to explore the mechanism of the influence of objective environmental elements on subjective perception,and then to identify the key indicators in objective environmental perception and the intensity and form of their influence,so as to propose corresponding strategies and suggestions for improving people’s perception in the historic district.This study provides technical references and ideas for the renewal and renovation of historic districts,and its main contributions include.(1)After a systematic review and analysis of existing spatial perception theories and related literature,a measurement framework for spatial perception of streets and alleys in historic districts is established,focusing on the usage functions and psychological needs of historic streets and alleys that are different from other streets in cities.At the same time,the framework explores basic issues such as the meaning and methods of spatial perception of historic streets and alleys,so as to facilitate the systematic measurement of the perceived quality of street space in historic districts.(2)An empirical study of Qingdao’s historical and cultural districts is conducted,and its perceptions and problems in both subjective and objective dimensions are summarized.In terms of objective perception measurement,12 indicators were selected from five measures: perceived walkability of historic streets,perceived enclosure of historic streets,perceived visibility of distinctive landscape,perceived cultural atmosphere and perceived distinctive functions,and the overall characteristics of the objective environment of street space were summarized.In terms of subjective perception,an artificial audit platform and ANN neural network were used to quantify the subjective perception scores on a large scale,so as to obtain the distribution and characteristics of the subjective perception of Qingdao’s historical and cultural districts.The research results can provide a certain reference basis for the renewal and renovation of Qingdao’s historic districts.(3)By applying the SHAP method,this study summarizes the influence mechanism of spatial perception of streets and alleys in Qingdao’s historic districts and proposes corresponding optimization strategies.The SHAP method was used to identify the relative importance of each index in the spatial perception of the historic district,which provides a scientific basis for the renewal and renovation of the district.On this basis,a series of optimization strategies and suggestions are proposed for the problems in the spatial perception of streets and alleys in Qingdao’s historic districts,in order to provide useful references and support for the further development and improvement of the districts.
Keywords/Search Tags:subjective perception, big data, historic districts, streetscape images, interpretable machine learning
PDF Full Text Request
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