Research On Passengers’ Choice Preference Of High-speed Rail And Expressway Passenger Cars Under Short Travel

Analyzing passenger travel preferences is an important basis for transportation control and organization.At this stage,the scope of extension of the high-speed rail and expressway network continues to expand,the demand for diversified passenger travel is increasing,and the problem of passenger flow competition between expressways and parallel high-speed rail lines continues to exist.Significant changes have taken place in the collaborative function of traditional public and railway trunk line passenger transportation.Therefore,aiming at the new pattern of passenger car competition between high-speed rail and expressway,this paper conducts research on the intercity travel choice preference of passengers under short-distance travel.Based on the toll collection data(TCD)of expressway networking,the travel distance distribution curve of expressway passenger cars is fitted,and the spatial distribution characteristics of expressway passenger car flow and passenger travel volume are drawn,and the attraction of high-speed rail and expressway passenger cars to passengers is analyzed.The influencing factors of high-speed rail and highway passenger car selection under the short itinerary of passengers were sorted out,and indicators such as whether they owned passenger cars,whether they carried luggage,and the number of family vehicles were introduced to construct a travel choice index system.RP questionnaire was designed,and descriptive statistical analysis methods were used to reveal the structure characteristics of questionnaire data by using STATA software.The generalized cost model indicators were quantified by using variables such as time,rate,and passenger fatigue recovery time,and the quantitative method was reasonably optimized according to the relationship between distance and speed.According to the generalized cost function and maximum utility principle,the sharing ratio model of high-speed rail and highway passenger cars under different travel distances is established to define the relative competition intensity.According to the set model parameter values,MATLAB software is used to plot the high-speed rail and highway passenger car sharing curve and the relative competitive strength curve.The Pearson correlation coefficient method was used to screen the influencing factors of passengers’ travel mode selection under short trips,and based on the questionnaire survey data of Xicheng Railway,a travel mode preference model of passengers in different distance ranges was constructed,and the model was solved and verified the effect and adaptability of the model,the accuracy of the model was tested,and the sensitivity of the influencing factors was analyzed by marginal effect according to the model calibration results.The results show that the goodness ratio coefficients of the introduction of travel features and travel feature models are 0.127 and 0.706,respectively.Gender,ownership of a passenger car,monthly income,number of accompanying persons,baggage and total itinerary are all significant factors.Traveling within 300 km had the highest age sensitivity among individual characteristics,with a parameter estimate of-2.73 and a marginal utility of 0.635,and the lowest sensitivity for occupation,with a parameter estimate of-0.57 and a marginal utility of-0.041.Among the travel characteristics,the sensitivity of business trips was relatively high,with parameter estimates of-2.77 and marginal utility of-0.172,while the sensitivity of travel expenses was the lowest,with parameter estimates of 0.03 and marginal utility of 0.002.This model can provide a reference for research on other modes of travel.