Analysis Of The Influence Of Built Environment On Passenger Flow Of Orbital Station In Beijing And Its Updating Strategy

The development of rail transit has provided great help to facilitate residents’ travel,alleviate traffic congestion and reduce environmental pollution.However,urban construction and rail transit system construction are not synchronized,and the coordination degree between the "plug-in" rail station and the surrounding built environment is poor,resulting in problems such as intensive instantaneous passenger flow,uneven distribution of passenger flow,and long commuting time.Taking Beijing as an example,this paper combined the "7D" dimension of the built environment,added the influencing factors of parking fee standard,determined the index system of the influencing factors of the built environment,built a regression model of the working day peak passenger flow of rail stations with standardized variables,and obtained the optimal built environment analysis range by comparing the goodness of fit of the regression model under the analysis range of the built environment around 11 orbital stations.The spatial heterogeneity and spatial scale characteristics of built environment factors in the optimal built environment analysis range were discussed.The existing problems are summarized and the renewal strategies are put forward according to the impact coefficient of built environment.The results show that:(1)The "pendulum" commuting pattern in Beijing is obvious,and the spatial distribution characteristics of morning peak departures and evening peak arrivals are similar,as are the spatial distribution characteristics of morning peak arrivals and evening peak departures.(2)Compared with the least square method and the geographical weighted regression model,the multi-scale geographical weighted regression model has the best fitting effect for the model exploring the relationship between built environment and station passenger flow.For the passenger flow in the morning peak and the evening peak,the model interpretation power is better by using the circular buffer zone of 1100 m radius around the station and the intersection area of Tyson polygon to delimit the research area of the built environment of the railway station.For morning peak outbound passenger flow and evening peak inbound passenger flow,the better range obtained in the model interpretation is 1000 m radius.(3)The density of residential facilities,floor area ratio,number of parking lots,density of rail lines,density of bus lines and whether they are interchange stations have a positive impact on weekday peak commuter flow,while the density of scenic facilities,science,education and culture facilities,sports and leisure facilities,and medical service facilities have a negative impact on weekday peak commuter flow.The density of office facilities affects the site although time and travel purpose change regularly.The diversity of facilities,the density of roads,the number of entrances and exits,the average parking fee and the population density have different trends for the passenger flow of stations in different regions.(4)From the three aspects of adjusting the distribution of passenger flow,adjusting the functional layout of the built environment,and improving the traffic connection system,the corresponding update strategy is proposed according to the results of the significant factors affecting the built environment.In this study,the relationship between built environment and commuter flow of rail stations was explored through multi-scale geographical weighted regression model,problem stations were found through current analysis and update strategies were proposed,aiming to improve model accuracy and optimize built environment system,providing certain theoretical basis for public transport-oriented urban planning,station and city integrated development and fine urban management.