Influence Mechanism Of Urban Built Environment On The Using Of Dockless Bike Sharing

In the era of "carbon neutral,carbon peak" goal,shared bikes with low carbon,environmental protection,convenient and healthy characteristics,has become the priority choice of short-and medium-range travel mode of transportation and an important part of China’s slow traffic,accurate grasp of its characteristics is helpful to promote the development of slow traffic in China.However,existing studies on shared bikes ignore the consideration of plasticity area unit,and lack comparative analysis on the starting point of shared bikes,the end point of shared bikes and different cities.Based on this,based on the multi-source data available at home and abroad,combined with the quantitative evaluation factors of the urban built environment involved in the research of quantitative evaluation of the urban built environment at home and abroad,this study constructed an urban built environment evaluation index system covering POI correlation,construction intensity,transportation accessibility,social economy and urban population according to the meaning of data sources and evaluation factors.And according to the research scope of Shenzhen City and Xiamen City,the corresponding urban built environment data set is established.Secondly,based on the large-scale GPS data of urban shared bikes,the spatial and temporal characteristics of shared bikes are analyzed through python programming.The travel characteristics analysis of shared bikes includes the distribution characteristics of cycling distance,cycling time,cycling frequency,and the identification of cycling peak hours.Besides,the kernel density analysis method is used to identify the cycling hot spots of shared bikes in the morning and evening peak hours of working days and weekends by the distribution of actual cycling orders.Thirdly,the plasticity area unit is analyzed,including:Multi-scale fishing nets and traffic zones were used to construct different research spatial unit division methods,and the density of borrowing points and returning points were respectively used as dependent variables in different peak cycling periods in Shenzhen and Xiamen,and the mean value of regression coefficients was used as the goodness of fit evaluation criteria for the regression model.Therefore,the spatial unit division method with better goodness of fit for the research scope of Xiamen City and Shenzhen City was selected,and the descriptive statistics of variables were carried out.Finally,the multi-scale geographically weighted regression model was used to analyze and compare the spatial scale differences and spatial heterogeneity of the impacts of urban built environment factors at different peak cycling hours on shared bike travel,and the analysis results of different research areas in Xiamen City and Shenzhen City were compared and discussed.Based on the analysis results,strategies and suggestions to improve urban shared bike travel are proposed in terms of urban shared bike scheduling and urban planning.Strategies to promote the development of shared bikes are proposed respectively from the level of shared bike operators,as well as macro policies,meso planning and micro design strategies at the level of urban planning.In order to provide reference for urban planning,urban governance and bike-sharing operators.