The Influence Of Built Environment On Ridership And Connection Modes Of Subway Stations

Urban rail transit has many advantages such as large capacity,reliable operation,safety and environment,etc.It is the best choice for megacities and large cities to alleviate urban congestion,improve transit service levels,and realize TOD development.Nevertheless,it’s hard to optimize the distribution of passenger flow,foster passenger flow for new line,and promote land development around the subway stations in the context of rapid rail construction.Rail transit is a typical multi-modal combination travel.It includes two major processes,access and egress,which make the analysis of the rail transit problems facing with various difficulties and challenges.The attraction and generation of passenger flow,and travellers’ choice of rail connection methods,always relate to urban built environment factors such as land use,block design,transit facilities.The impact of urban built environment on transportation is fundamental and profound.Different development densities,different spatial forms,different land allocations,different facilities and organizations affect the individual’s travel choices,determine the regional rail transit characteristics.The influence of built environment on rail passenger flow and connection mode selection has important significance for mastering the passenger flow rule of rail transit,urban land development or old city renew,and improving the integration of urban and rail transit development.This paper relies on the National Key Research and Development Project(2018YFB1601304,2018YFB1600905)and the National Natural Science Foundation of China(71771049).It started with data acquisition and integration,such as AFC,built environment and rail transit chain,through web crawling and survey.Based on the deep mining of data,the spatio-temporal distribution characteristics of subway stations were analyzed,and the cluster analysis of the stations was carried out in combination with the peak passenger flow characteristics of the weekday.Combined with the concept of the station catchment area,the characteristics of urban land development were analyzed and targeted to the station catchment area,and the clustering analysis of the stations were carried out.The traveler’s personal and family attributes,rail transit behavior and travel perception characteristics of the survey samples were analyzed.Based on the qualitative analysis of rail transit and built environment,and the experience of previous research,the data set of built environment factors was established from three aspects: land use factors,accessibility factors and station attributes.Based on built environment factors,the multiple linear regression model was used to analyze the influence of the built environment factors on the weekday’s full-day and peak-time passenger flow.On the other hand,the multinominal logit model was used to judge the relevance of built environment factors and the mode to choose in rail transit connnection.Finally,taking Nanjing Metro as an example,this study analyzed the typical characteristics of the current passenger flow.Then it proposed the optimization and improvement strategy.At the same time,according to the results of the model,the suggestions for optimization and improvement of connection facilities were proposed.Compared to previous study,this study fully exploits the advantages of network geographic information data in the acquisition of built environment data in order to integrate the built environment data comprehensively and scientifically,and establishes a valid data set of built environment factors.Then this study analyzes how these factors influence the peak passenger flow and the access mode of subway stations.The results of this research provide policy basis for the optimization of the built environment around the subway stations,optimization of the distribution of passenger flow in the rail,and optimization of the structure of the rail connection.