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Study On The Influencing Factors Of Job-housing Balance In Beijing Based On Multi-source Data

Posted on:2023-07-14Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhangFull Text:PDF
GTID:2569306845491844Subject:Applied statistics
Abstract/Summary:
With the continuous progress of urbanization in China,the spatial structure of cities,population residence and economic employment structure have undergone drastic changes,and the spatial separation between residence and employment has been intensified.Under the background of promoting the balance between jobs and housing and building a livable city,the serious separation of jobs and housing in Beijing has attracted widespread attention.Academia for post live balance research is mainly focused on the influential factors of questionnaire survey from the microcosmic individual attributes factors,and in accordance with the appropriate space scale,from the macroscopic regional perspective to study the position of living balance is relatively small,the influence factor of literature and existing in the study,research different spatial scales,the conclusion also exist certain differences,It is necessary to select a more appropriate spatial scale for further analysis.Therefore,based on the multi-source integrated job-housing spatial data set,this paper conducts a quantitative study on the influencing factors of job-housing balance in Beijing from the sub-district and township level.On the basis of theoretical analysis,this paper uses data processing methods such as Python crawler and Arc GIS spatial analysis to sort out the data set of vocational and residential research.The degree of job-housing deviation is the basis for the calculation of the explained variables,which include housing,employment,transportation system,public service and land use.Firstly,OLS regression and quantile regression analysis were performed on the whole sample,and then Logit regression was classified according to different types of job-housing space reflected by job-housing deviation degree.Finally,the following conclusions are drawn :(1)in general,the increase of housing supply has a moderating effect on the degree of job-housing deviation,and the increase of average housing price hinders the realization of job-housing balance,and the influence gradually increases with the increase of job-housing deviation.The influence direction of housing supply and average housing price is different under different job-housing space types.The increase of residence-oriented housing supply and the decrease of average housing price will further strengthen the residential function attribute of the region,which is not conducive to the work-housing balance.But in the employment-dominated areas,the opposite is true;(2)The increase in the number of enterprises and the density of financial and insurance services representing the operating environment of enterprises generally increases the possibility of excessive employment agglomeration and intensifies job-housing deviation,which also shows a different effect under different job-housing space types;(3)The construction and development of public transport significantly aggravated the degree of job-housing deviation,and the residential-oriented public transport had a more significant impact on the degree of job-housing deviation,while private transport did not have a significant impact on the degree of job-housing deviation on the whole,and only had a negative impact on the degree of job-housing deviation at a lower degree.(4)The improvement of land mix degree and the diversification of functional utilization can help reduce the degree of job-housing deviation and promote the realization of the goal of job-housing balance.Among different types of public services,medical care service and shopping service have a significant negative moderating effect on the degree of job-housing deviation.Under the background of aging and having fewer children,the increase of these two public services is more conducive to promoting job-housing balance.The main innovations of this paper are as follows :(1)the measuring spatial scale of job-housing balance.Previous studies generally focused on the macro-administrative or micro-rail transit station area at the spatial scale.In this paper,the job-housing deviation index was compared and analyzed at multiple scales to deeply analyze the job-housing spatial matching in Beijing.(2)Research perspective of factors influencing work-housing balance.At present,most studies on the work-housing balance are based on the micro individual perspective.This paper,from the macro regional perspective,combined with the measurement results of the work-housing balance level at different spatial scales,selected the sub-district and township scales to construct the impact factor index system for empirical study.
Keywords/Search Tags:Beijing, Job-Housing Balance, Multi-Source Data, Influencing Factors, GIS Spatial Analysis Method
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