Study On The Urban Living Streets Based On Multi-source Data Quantitative Evaluation And Optimization Of Space Quality

Urban living street space is an important public space that carries the daily life of residents.Under the background of livable city construction and street space stock optimization,how to meet people’s needs for high-quality living environment and how to improve the quality of urban living street space are current research.Important issues.Existing researches on the improvement of urban living street space quality mostly focus on qualitative perspectives,and there is generally a lack of scientific and objective quantitative research perspectives.The above is an important opportunity for relevant research in this article.This article cuts in from the perspective of comprehensive quantitative analysis and summarizes the development process,relevant qualitative and quantitative research on the improvement of the quality of domestic and international living streets at home and abroad.Based on the literature,theories and typical cases as reference,construct a quantitative evaluation model of the quality of living street objective environment elements and user subjective environment adaptation elements in two overall dimensions.The model includes the living street external environmental conditions,the street’s own material composition,32 practical multi-dimensional comprehensive quality evaluation factors under 4 levels of user activity,perception and cognition.Starting from the quantitative evaluation model,Arc GIS is used as the basic geographic information processing platform for the quantitative evaluation of the quality,comprehensively using multi-source open data such as new street scene pictures,POI,Baidu heat maps and spatial syntax axis model data,and taking the living streets of the main urban area of Lanzhou as For example,objective and precise quantitative evaluation of quality multi-dimensional influence factors.Through descriptive quantitative analysis of the characteristics of the quality impact factors of the living street objective environment and the adaptability of the street users’ environment,integrating the quality evaluation results and conducting a comparative analysis of the impact factors,we obtained the subjective and objective dimensions of the living street quality status in the main urban area of Lanzhou The coordination of evaluation elements is poor,and there are still differences between the two.Using Pearson correlation coefficient analysis method of SPSS 22.0 software,based on the single factor linear regression model,further analyze the root cause of the above differences.Based on the correlation analysis of 19 features of objective physical environment dimensions and 6 features of subjective environment adaptation dimensions of street users in 70 complete living streets,and combined with the scatter plot,the features of street physical environment that significantly affect the subjective environment adaptation of living street users are identified.Finally,based on the overall quantitative evaluation results and the matrix correlation analysis of the factors affecting the quality of the user’s environmental adaptation dimension,the paper proposes the overall quality improvement strategies,as well as the optimization of the objective environment of the living street,the construction of the active activity parking place,the enhancement of the classification optimization and control quality of the coupling subjective and objective elements under the new perspective of street identification and street face color,and street portrait 5 targeted strategies for improving the quality of living street space.Based on the multi-source data,this paper enriches the existing research on the quality of living street space from the content,method and demonstration,in order to provide a new idea for the quantitative evaluation and optimization of the quality of living street space in Lanzhou and other cities.