The 20th and 21st joint COTA International Conference of Transportation Professionals (CICTP 2020-21)

In allusion to the option of travel mode and optimization of passenger transport structure in the passenger transportation corridor. Firstly, combined with the residual gray prediction model to predict the total demand of passenger transport market. Secondly, structural equation model (SEM) is applied to analyze the latent variables that affect the traffic mode choosing behaviors in the passenger transportation corridor; based on the maximum utility theory, the travel mode utility function of the original Logit model is improved, and the SEM-Logit integration model considering the latent variables is constructed to determine the share rate of different travel modes. Finally, analyzing the supply and demand of different transportation modes to judge saturation, acquiring supply and demand resources matching situation to propose a method of optimizing the structure of passenger transportation and transportation modes coordination. To achieve mutual coordination between the different modes of transport and form the benign competition of passenger transport system.

residual gray prediction model;SEM-Logit integration model;optimization of passenger transport structure;share rate