Research On Configuration Of Bike-sharing Parking Facilities In Urban Rail Transit Stations

As more and more cities open rail transit,how to address the end-connection requirements has received wide attention.As an effective means of practice,in recent years,bike sharing systems such as docked bike sharing system and free-floating bike sharing system have developed rapidly,and to some extent,effectively solved the connection demand of the “last mile”,promoted the public transportation microcirculation system,and improved the quality of life of residents.However,the two modes of bike sharing systems are currently in their own fields,and it is difficult to achieve the overall linkage of planning and construction,the pace of integration with rail transit is slow,and the demand for citizens' connections is not properly met.Therefore,research on the configuration of bike sharing system parking facilities in urban rail transit stations is helpful to grasp the connection status and existing problems of bike sharing system under the background of rail transit network,quantitative analysis of the key factors affecting the demand for bike sharing sytems,and provides corresponding decision support for berth estimation,site selection and facility configuration of bike sharing system parking facilities in rail transit stations.First of all,this paper describes the characteristics of the connection requirements of rail transit stations and bike sharing systems.Taking Nanjing as a case study,relying on the data of bike sharing systems riding orders within the reasonable attraction of rail transit stations,combined with the indicators such as “ride time” and “ride distance”,the important role played by the bike sharing system in connecting the “last mile” of the urban rail transit stations is further verified.On the other hand,by analyzing the “tidal phenomenon” of bike sharing systems at the rail transit stations during the peak period,it is effectively identified that different types of rail transit stations affect the demand of bike sharing systems to a certain extent.The connection demand provides research ideas for cluster analysis of urban rail transit stations.Secondly,this paper studies the connection demand characteristics of different types of rail transit stations.Taking the borrowing demand of bike sharing systems as the clustering variable,the indicators of Gap Statistic and Silhouette Coefficient are selected to estimate the optimal cluster number,and then the K-means algorithm is used to cluster the rail transit stations.Combining the connection demand of bike sharing systems during the peak period,the clustering results of the rail transit station are explained in detail,and a set of rail transit station type classification methods that can be analyzed by quantitative indicators is proposed.Then,based on the cluster analysis,this paper constructs a prediction model for the bike sharing systems connection demand of rail transit stations.Combining the existing data conditions,select the bike sharing systems daily average lease amount,the maximum supply quantity as the dependent variables,the land use and built environment,the external connection attribute,the bicycle infrastructure and the type of rail transit station as the independent variables.Considering aspects such as prediction accuracy and interpretation ability,finally use the partial least squares(PLS)regression method which is more suitable for this research to construct the connection demand prediction model,which effectively avoids the adverse effects of multicollinearity on the research,and can more accurately predict the connection demand of the bike sharing systems at the rail transit stations.Finally,the bicycle parking facilities are configurated for rail transit stations.Based on the prediction of bike sharing systems connection demand,this paper proposes a set of technical methods of “macro demand estimation – meso location research – micro facilities configuration”,which not only accurately predicts the macro parking berth requirements of different types of rail transit stations,and starting from the meso and micro level,from the multi-angle of parking facilities,site selection research,berth allocation,layout mode selection,etc,the facility was configured for this research.In addition,according to the above technical methods,two typical rail transit stations are selected as research cases,and the configuration process of bike sharing systems parking facilities is discussed in detail.It has important guiding significance for the optimization and adjustment of existing parking facilities and the planning of new parking facilities.