Analytical Method Of Subway Station Passenger Volume Based On Smart Card Data

In recent years,with the rapid development of Massive Rapid Transit(MRT)in China and the wide application of Automatic Fare Collection(AFC)system,smart card data have provided chances for studying the travel and mobility of MRT passengers.At the same time,official index indicating MRT operation in China is still segement passenger volume.However,few studies on MRT operation has been conducted at the site level.Therefore,this paper attempts to use smart card data to analyze the passenger volume at subway station level.Firstly,based on the inter-station OD pattern and segement passenger volume,this paper proposed the concept of MRT station passenger volume.Selecting Nanjing Metro as an example,this paper demonstrated step by step procedure of how to use the original MRT smart card data to construct inter-station OD matrix.Further,referring to the graph theory,the final MRT station passenger volume were calculated.The results of the upstream and downstream MRT passenger volumnes were calculated and the visualization was performed by ArcGIS.Numerical analysis was also carried out.This paper introduced the Point of Information(POI)data as the independent variables to obtain each land use data for stepwise general linear regression.After that,the basis of geographically weighted regression and Moran's I were introduced and the results of general linear regression and GWR results were compared.A "individual and total" contradiction and some detail results was found after numerical analysis,and the positive and negative contributions of each variable were confirmed in both two regression methods.Finally,based on the results of the above analyzes,some suggestions based on the analysis result are given.