Research On Access Mode Of Beijing Rail Transit Using Trip Chain Theory

Urban traffic congestion caused by Motorization is serious, with dramatically developing economics and rapidly increasing population. Rail transit, as a high-capacity and high-efficiency mode of transport, can alleviate traffic congestion problems effectively. It is an inevitable trend to establish an integrated transportation system, which is formed by rail transit as the main body and other modes of transport as supplements. In order to deliver its transport-artery function of rail transit, it is necessary to comprehensively consider transit issue between railway station and other-transport-mode station. Research on the transit issue is able to forecast transit behavior of passengers, transit ridership from rail transit to other modes. Based on forecasting results, we can plan and deploy accessing facilities which are useful to increase ridership of rail transit.This paper reviews relative research on the basis of trip chain theory. It defines the term of trip chain for rail transit, which means that trip chain is mainly generated by rail transit and involve multimodal trips. Furthermore, it establishes three levels of rail-transit trip chain model based on different choice characteristics of rail passengers who are differences in time and cost optimization; we explore share rates by rail-transit trip chain. Finally, a case study calculates numbers of accessing passengers on a real rail station in Beijing, and proposes reasonable measures to address problems of current accessing facilities near the station. The paper proceeds as follows:(1) By reviewing relative research in the world, this paper formulates research content, purpose and methodology.(2) Clarify the definition of rail-transit trip chain: This paper defines the term of rail-transit trip chain based on trip chain theory and previous research. Therefore, the definition is the trip chain consist of rail transit as main travelling mode and multimodal trips. The trip chain is divided into three parts: from origin to rail station, travelling in rail transit system and rail station to destination.(3) Research on behavior choice characteristics of rail transit: With 2010 Household Travel Survey data in Beijing, we analyze characteristics of rail-transit passengers and rail-transit trip chain. By carrying out RP and SP investigation on three typical rail stations in Beijing, we discovered trip characteristics of rail-transit passengers and preference characteristics of transfer modes.(4) Study on rail-transit trip chain model: With utility maximization theory as precondition, based on Logit model, we establish three levels of rail-transit trip chain model and work out parameter calibration in the model by SPSS software. As a result, we acquire share rates of rail transit chain for different stations and lines.(5) Case study(Taoranting Station in Beijing): With 2010 Household Travel Survey data and the framework of rail-transit trip chain model, we capture trip chain percentages of different rail lines which pass by Taoranting Station. In addition, by analyzing IC card data, we obtain travel demand data for accessing facilities near rail station, and summarize reasonable proposals to current transferring facilities problems.