| The number of extreme commuters grows rapidly with urbanization,and studying the mechanism of land use on extreme commuting behavior can effectively balance the traffic development of big cities and relieve the pressure of urban commuting.Analyzing the spatial distribution pattern and influencing factors of the extreme commuting phenomenon and exploring the interaction between extreme commuting and land use and their potential mechanisms can provide a scientific basis and theoretical support for urban planning and transportation planning,thus promoting sustainable urban development.In order to explore the relationship between extreme commuting behavior and land use of metro passengers in big cities,the paper conducts an in-depth study in three aspects: the construction of a system of land use influence factors,the construction of an analysis model of the influence of extreme commuting trips,and the analysis of land use factors on extreme commuting trips.The main research contents of this paper are as follows:(1)Definition of extreme commuting behavior.Due to the transformation of the existing work style and industrial structure,residents’ commuting time can no longer be limited to the morning and evening rush hours in the traditional sense,and the criteria for defining extremes present obvious differences in the face of different geographical backgrounds and urban structures.To address this phenomenon,this study develops rules for determining extreme commuting trips in cities applicable to different development states,adopts a method based on metro travel chain analysis and extreme threshold identification to screen out commuting behaviors,and introduces extreme conditions with a 95% confidence level on the basis of commuting behaviors for a more refined screening of extreme commuting behavior data.(2)Land use influences system construction and feature identification.The combination of an800-meter range radius and the Tyson polygon principle was used to determine the influence range of the metro station area,and land use-related data such as POI data within the influence range of metro station points was obtained and processed.and the extreme commuting influence factor system was comprehensively constructed from different dimensions,containing 13 land use characteristic influence factors in total,which passed the covariance test and spatial pattern analysis of influence factor indexes.(3)Model construction of the relationship between the extreme commuting behavior of metro passengers and land use in large cities.Considering the spatial effects of metro passenger flow and land use,the ordinary least squares regression model(OLS),spatial lag model(SLM),geographically weighted regression model(GWR),and geographically weighted Poisson regression model(GWPR)are finally used for comparative analysis to deeply investigate the spatial dependence of the occurrence,attraction,and land use-related variables of extreme commuters,and the estimation of the GWPR model results in The effect is better,and its explanatory power reaches 89.5%,which can better portray the spatial heterogeneity of the dependence relationship between extreme commuter ridership and land use-related factors.(4)Analyze the relationship between extreme commuting behavior and land use of metro passengers in large cities.By constructing the GWPR model and combining it with the planning of regional industrial layout development,the relationship between extreme commuting behavior and land use of metro passengers in large cities is partially analyzed,and the influence mechanism of various land use types on the spatial characteristics of extreme commuting passenger flow in metro stations is explored in depth.It provides a quantitative analysis basis for further improving metro operation and management,improving the connection planning of metro stations and surrounding land development and utilization. |