Research On The Social Equity Evaluation Of Urban Park Green Space Based On Multi-source Big Data

Urban park green space is an important public green infrastructure and type of urban space.Under the background of vigorously promoting the equity of urban public infrastructure and the new spatial data environment of urban space,this research based on the urban spatial shape data,mobile phone signaling data,remote sensing image data,urban housing price data and population data to evaluate the social equity of urban park green space.The aim is to actively explore new method for the research on the equity of urban park green space.This article is divided into five chapters.The first chapter is the introduction,including research background and significance,research content and objectives,research methods and framework.The second chapter is the definition and research summary of the related concepts of urban park green space equity.Firstly,analyze the concept of urban park green space and social equity,then define the content of them.On this basis,from the theory and practice of the equity of park green space at home and abroad,summarize the existing research content and methods.In the third chapter,based on the fully understanding of the advantages and disadvantages and operability of the data,combined with the research and analysis methods in related fields,a social equity evaluation method of urban park green space based on multi-source big data is constructed,which consists of four parts:evaluation perspective and dimension,building multi-source data base,data processing and social equity evaluation.The fourth chapter is an empirical study based on theory.According to the factors such as population distribution,base station density,population activity,park grade and location,Xuanwu Lake Park in Nanjing was selected as the research sample.Analyze and evaluate the use status of park users with different economic strengths,different living environments and different ages from the three perspectives of quantity,time and space.The fifth chapter contains the main conclusions,innovation points and follow-up work directions.The full text has 58694 words,60 pictures and 12 forms.The purpose is to explore the big data of urban green space and provide research foundation for its optimization and improvement.