Abstract

With the development of high-speed railways, the transportation service level of trains has been continuously improved, and the basic travel demand of passengers has been met to a certain extent. At the same time, the relationship between the transportation services provided by railways and the demand for passenger travel has begun to change, and passengers need to be safer. Comfortable, convenient, fast and economical transportation services, in order to better meet the needs of passengers, it is necessary to conduct statistical analysis of passengers' travel choices, so that railway enterprises can provide better services for passengers. In order to study the travel behavior of high-speed railway passengers, this paper analyzes the influencing factors of passengers' choice of passengers based on the non-aggregate discrete selection model theory, and combines the 2016 high-speed railway passenger travel questionnaire to set the characteristic variables that affect passengers' choice of passengers. Including passenger characteristics, travel characteristics, train service characteristics and corresponding value methods, establish a passenger ride plan selection model. We use SPSS to calibrate the model parameters and draw relevant conclusions.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call