| The study of the impact of built environment factors on household travel frequency can provide theoretical support for urban planning and the formulation of traffic management policies,and is of great significance for solving urban traffic congestion and other problems.This paper takes household as the research Unit and considers the Modifiable Areal Unit Problem(MAUP).Based on the data of household travel survey in Beijing,this paper studies the influence of neighbor-size built environment on household travel frequency in different ways.The main research contents and conclusions are as follows:(1)Research design,data acquisition and processing.First,the research scale of the objective built environment was defined for the research problems,and the moderating effect of the MAUP scale effect on the relationship between the built environment and the household travel frequency was analyzed.Based on the research results of the existing literature,three research hypotheses were proposed based on the empirical perspective,which laid a theoretical foundation for the subsequent research on the impact of the built environment on the different modes of household travel frequency.Second,Beijing was used as a research area for the survey of household travel data,Revealed Preference was designed with questionnaire contents,revealed with stratified random sampling,and revealed basic data needed for the study.In addition,API interface and Arc GIS software were used to extract the built environment data around the residence,and the operable household travel data and built environment data at different spatial scales were obtained.(2)MAUP scale effect analysis and neighborhood scale measurement.A negative binomial regression model was constructed to analyze the effects of built environment at different spatial scales on household travel frequency.The results show that there is a significant MAUP scale effect on the relationship between the built environment and the household travel frequency,and the reduction of the spatial scale will lead to more built environment characteristic variables have a significant impact on the household travel frequency.Among them,the model with 400 m spatial scale has the best fitting effect.The variables of intersection density,road density,distance to bus station,distance to subway station and distance to CBD all show significant influence on the household travel frequency.3)Study on the effect of built environment considering MAUP scale on household travel frequency of different modes.Taking 400 m as the neighborhood measurement scale of the built environment and considering the correlation between different modes of household travel frequency,a seemingly uncorrelated regression model was established to model the relationship between the built environment and different modes of household travel frequency.The results show that the seemingly uncorrelated regression model considering the correlation between different household travel frequencies has a better fitting effect,and different characteristic variables of the built environment have different influences on the household travel frequencies of different modes.Therefore,it is necessary to conduct an overall analysis of the relationship between the built environment and the household travel frequencies of different modes.Among them,distance to bus stop and distance to CBD have a significant impact on the frequency of household car and public transport and walk/bicycle travel,bus density and road density have a significant impact on the frequency of household car and public transport travel,intersection density and land use mixing degree only have a significant relationship with the frequency of household walk/bicycle travel.The distance to the subway station and the distance to the district government only have a significant impact on the frequency of household public transport. |
