Research On The Access Mode Selection And Passenger Flow Attracting Range Of Urban Rail Transit

Urban rail transit is the shaft of the traffic system of city, arterial traffic of big city that is moving to rapid rail transit as the main part with multi-level development of comprehensive passenger transport system has already been the inevitable trend. In order to realize arterial transport function of urban rail transit, rail transit connection problems must be fully considerated. However, passenger flow source is different from different rail stations, and the composition of access mode is also different, which need to be classificated, so rail transit station should be classified first. This paper attempts to build urban rail transit access mode selection model and passenger flow attracting range model, in order to study the sharing rate of different access mode and passenger flow attracting range based on attraction of central business district. For this aim, the paper has carried out the following work.Firstly, by the analysis of common rail transit station classification method, cluster analysis method to classfy rail transit station is proposed combined with characteristics of station and station area. This chapter categories and quantifies the classification parameters, then taking Harbin subway line 1 as example, 18 rail transit stations of which are clustered.Secondly, based on results of station cluster analysis, together with passenger flow source of rail transit, the station is divided into three categories: central business district station, transfer hub station, and marginal area station. Then carrying on RP and SP survey of access mode, data processing and data statistical analysis, which support for the establishment of model.Thirdly, in comparing the characteristics of disctete choice model, 2 level of Nested Logit model has been chosen to study access mode selection of central business district station, including the lower access mode selection model and the upper travel mode selection model. By introducing the fusion parameter, the lower access mode selection model is established based on data fusion of arrival access mode and departure access mode of rail transit. Then using the model to analyze the case.Finally, by introducing the cost of traffic comfort to generalized trip costs, and comparing generalized trip costs of rail transit and public traffic, urban rail transit passenger flow attracting range model is established based on attraction of urban central district. Taking Harbin subway line 1 as example, rail and public transport travel utility fuction is calibrated by the Logit model, then theoretical value of passenger flow attracting range is calibrated.