Model of travel mode choice for hub arrival passengers considering psychological preferences
WENG Jiancheng
MA Jingyuan
PAN Xiaofang
SUN Yuxing
CHAI Jiaolong
Abstract：To understand the travel mode choice characteristics of passengers arriving at transportation hubs and address the optimization and efficiency improvement of transport capacity allocation,data from high-speed rail hub travel questionnaires are analyzed. Latent variables including the attributes of previous connections,the subjective importance of connection modes,hub service satisfaction,and travel choice tendencies are introduced. A Structural Equation Model (SEM) that considers psychologi-cal tendencies is constructed and integrated with a Multinomial Logit (MNL) model,creating a com-bined SEM-MNL model. This model quantitatively calculates the utility functions for different travel mode choices of arriving passengers,predicts the probability of choosing various modes of travel at dif-ferent times,and compares the hit rate of the SEM-MNL model with that of the MNL model. The re-sults show that incorporating psychological tendency variables improves the overall hit rate of the model by 4.6％. Passengers with higher satisfaction with hub services,greater importance placed on connection services,shorter travel time and distance in their previous trip,and those using public transport are more likely to choose public transport modes. Predicting travel mode demand using the mode choice model and ensuring transport capacity coordination at passenger hubs is crucial for balanc-ing supply and demand between passenger flow and capacity resources,thereby improving service quality.
Keywords：urban transportationtravel mode choicestructural equation modelingcontinuous transportationurban passenger hubs
Publication Date：2024-08-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：11( 32-42 )