Travel behavior analysis of different-regional passengers for Public Transport Corridor in Shanghai

Abstract:

Through the passenger behavior survey of public transport corridor in Shanghai, this paper proposes a revealed preference/stated preference (RP/SP) combined Nested Logit model. Based upon the discrete choice theory, the proposed model analyzes qualitatively and quantitatively the travel behavior of differentregional passengers and some factors which influence their behavior. And then the paper researches the spatial transferability of this model. Finally, the model aims to simulate the travel behavior of differentregional passengers upon different policy scenarios. The results shows that in urban public transportation corridor, the factors which influence passenger travel behavior are different because they come from different regions. Secondly, for differentregional passengers, their preference of public mode may also be different. Thirdly, there are differences among the sensibilities of differentregional passengers to some factors which influence their travel behavior. Relying on data collection, modeling, parameter calibration and simulation, the paper provides a method of analyzing travel behavior for differentregional passengers, which may be a useful tool for function optimization and efficiency enhancement of urban public transport corridor.