Analysis of Passenger Transportation Structure Optimization Based on Travel Mode Selection

This paper focuses on the optimization of the passenger transport structure in the passenger transportation corridor. Firstly, the authors use the residual gray prediction model to predict the total demand of the passenger transport market. Secondly, the 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, the authors analyze the supply and demand of different transportation modes to judge saturation, proposing a method of optimizing the structure of passenger transportation to achieve mutual coordination between the different modes of transport and form benign competition in the passenger transport system.


  • English

Media Info

  • Media Type: Web
  • Pagination: pp 4437-4448
  • Monograph Title: CICTP 2020: Transportation Evolution Impacting Future Mobility

Subject/Index Terms

Filing Info

  • Accession Number: 01768461
  • Record Type: Publication
  • ISBN: 9780784483053
  • Files: TRIS, ASCE
  • Created Date: Dec 9 2020 3:06PM