The Influence of Urban Multiple Supply on Population Cross-region Flow in China
The supply imbalance between cities drives population movement to other cities to meet their needs.In the early stages of China's reform and opening-up,the primary supply-demand relationship between population and cities was centered on the population's demand for economic development and the supply of urban labor markets.Once individual labor income meets the production,investment,basic consumption,and basic security needs of individuals or families,the population's demands begin to diversify.Consequently,the supply capacities of cities in terms of consumption,entertainment,landscapes,and transportation start to exert push-pull forces on population flow.This paper leverages Tencent's location big data to construct a population cross-region flow network.It uses the QAP regression model to analyze various supply factors influencing population flow in the process of population movement,and explores the hierarchical and temporal heterogeneity of population flow.The study reveals the following findings:1)Railway transportation,catering and entertainment,and economic supply are the main factors affecting inter-city population flow,with landscape supply showing sensitivity to time choices.2)Mobile populations have different demands for cities at different levels,with financial elements showing a diminishing marginal effect by level.However,the supply of catering,entertainment,and railway transportation does not exhibit significant hierarchical heterogeneity.3)Population flow shows temporal heterogeneity.During holidays,landscape supply shows a significantly positive effect on the population flow,while the significance level for economic supply noticeably decreases.
multiple supplypopulation flowtrafficheterogeneous characteristicshierarchical structurebig data
万方数据
维普
