Abstract:This research paper is directed toward obtaining a better understanding of in vehicle congestion influence on choice of public transit mode. Considering the complexity of survey respondents, a revealed preference survey and stated preference survey combined survey method is provided. According to orthogonal test principle, composite design is carried out for variables and levels in SP survey. Based on a large scale survey for tourists in all urban rail transit lines of Shanghai, this paper advances the method to describe and classify congestion degree according to density of standing passengers, so as to establish the discrete choice model including time, cost and congestion, and analyze congestion influence on travellers’ desire for choice of traffic mode through elasticity analysis of congestion. The model calibration result shows that travellers are more sensitive to in vehicle time, and change of congestion will obviously influence travellers’ choice of travel mode. The analysis of elasticity show that travellers choosing conventional public transit are very sensitive to congestion degree, and after congestion decreases, travellers’ sensitivity to travel time and travel cost also decreases; and change of rapid transit service level will influence more on demand for conventional public transit.
