The Impact Of Built Environment On Residents’ Behavior From Perspective Of Multiple Geographic Scale

Rapid urbanization aggravates the continuous expansion of urban space,expands the distance of residents’ travel,and makes the mode of travel more and more mobile.This has led to a serious conflict between road network capacity and traffic flow,and the congested traffic network has greatly increased the time cost of residents’ travel,especially in the rush hour.Motorized travel is accompanied by a large amount of vehicle exhaust disorder,which has brought huge pollution to the urban environment.In addition,the unreasonable layout of urban occupational and residential space has also led to the increase of commuting distance and the reduction of commuting efficiency.In order to solve these problems,scholars in related fields have carried out a lot of research.Building environment impact ing and shaping residents’ spatial behavior has been widely recognized,but different research conclusions are different or even conflict with each other.An important reason for this phenomenon is that there is no distinction between spatial scales and no analysis of the multi-scale impact.By distinguishing different types of residential spatial behavior and their corresponding spatial scales,this study analyzed the characteristics of residential spatial behavior under the corresponding scales,explained the reasons for disputes in the existing research,and explored the significance of spatial scale selection.By studying the existing literature,this paper clarifies the elements,indicators and general research methods,lays a good theoretical foundation for the research.On this basis,this paper constructs its own index system,and combines with the travel survey data of Zhuhai to study residents’ spatial behavior through residents’ travel.Starting from three hypotheses,this study proposes a model framework and applies it to the research.The research divides the research space according to the geographical scale,constructs the corresponding scale model of the geographical level and the corresponding scale model of the model level respectively,and compares with the non-corresponding scale model,emphasizing the significance of the corresponding scale to the study.In addition,by comparing the models under complete scale mismatch and spatial autocorrelation models,this study verifies the influence of spatial autocorrelation between different scales built environment elements on the research.This paper applies the household trip survey data of Zhuhai in 2010 and multi-source urban built-up environment data to the model,and verifies the previous hypothesis.The corresponding spatial scale is of great significance to the study of different types of residents’ behavior,and the built environment factors under the corresponding scale can better explain the residents’ spatial behavior.Only when the geographic scale correspondence and the model scale correspondence are satisfied at the same time,the built environment factors can better explain the residents’ spatial behavior and improve the accuracy of the research.Spatial autocorrelation between built environments at different scales is the main reason that built environments at neighborhood scales can pseudo-influence residents’ commuting behavior.The results of this study explain the intrinsic relationship between the built environment and residents’ spatial behavior,and point out the root causes of current traffic problems and the effective direction of guiding residents’ green travel from the point of view of occupational and residential.The research results can provide effective decision support for urban planning and transportation planning.