Study On The Interactive Relationship Between The Job-housing Spatial Distribution And The Commuter Traffic In The Era Of Big Data

With the rapid development of China's economy and the accelerating process of urbanization,urban traffic problems are becoming increasingly serious,especially the problem of traffic congestion caused by commuter traffic.The separation between residents' living space and their working space is the cause of commuter traffic.Inquiring the interactive relationship between the commuter traffic and the job-housing spatial distribution,has great significance to alleviate the urban traffic congestion and to the sustainable development of the city.This paper takes Chongqing metropolitan area as the research object,with the method of combining the big data and the traditional data,through the interactive relationship of big data research form,to analyze the internal Influence caused by the interactive relationship through the traditional data,to analyze the interactive relationship between the commuter traffic and the job-housing spatial distribution through the statistical regression analysis method.Firstly,we refer to the domestic and foreign research literature on the interactive relationship between the commuter traffic and the job-housing spatial distribution,and make a summary,to provide a theoretical basis for the study of the paper.Secondly,we research on the interaction mechanism and influencing factors of the interactive relationship between the commuter traffic and the job-housing spatial distribution from the macro level and micro level,to comb train of thought for later statistical regression analysis.Thirdly,with the method of big data and through the data mining of the Internet and mobile Internet terminal data,we analyze present situation of the job-housing spatial distribution and the commuter traffic of Chongqing metropolitan area,to measure each group's ratio of job-housing spatial distribution,and to analyze the relationship between each other briefly.Fourthly,we build three indexes to measure the degree of the job-housing balance,based on the analysis of the relationship among the job-housing balance index,the average commute time,population density,income level,public transport travel sharing ratio,the density of cultural facilities,the share rate of land use intensity,the density of the school,and walking and bicycle sharing ratio,with the average commuting time as the dependent variable,other factors as independent variables,to analyze impact of the job-housing spatial distribution on the commuter traffic through a stepwise multiple regression.Fifthly,we study the impact of the commuter traffic on the job-housing spatial distribution through the review of the literatures,the data investigation and the theoretical analysis.This study analyze the interactive relationship between the job-housing spatial distribution and the commuter traffic deeply based on the analysis of urban spatial structure and spatial distribution of urban population and the method of big data to measure the ratio of job-housing spatial distribution.This study has important theoretical and practical guiding significance to promote coordinated development of urban traffic system and land use,and alleviate the urban traffic congestion problem.