Departure Mode Choice Behavior Considering Differences in Railway Passenger Preferences
To explore the differences in passenger preferences and the cause of railway passengers' prefer-ences for the service level factors of departure mode,such as travel cost,in transit time,waiting time,and cabin congestion,a mixed Logit model and a latent class conditional Logit model were used to carry out the research at the individual and group levels.Firstly,based on the travel characteristics of railway passengers and the service level of departure modes,a willingness survey questionnaire was created using orthogonal design method with the number of passengers traveling,luggage load,travel cost,in transit time,waiting time,and cabin congestion as scenario variables.Then online and offline surveys were conducted.Fi-nally,the model parameters were calibrated using maximum likelihood estimation.The results indi-cate that travel cost,in transit time,waiting time,and cabin congestion are key factors affecting the choice of departure mode.The calibration results of the mixed Logit model show that passengers have individual preference differences for travel costs and in transit time that are different from the sample mean.The latent class conditional Logit model divides passengers into three categories.Passengers of category 1 are most sensitive to in transit time,waiting time,and cabin congestion,while passengers of category 3 have the lowest sensitivity to these three service characteristics.The two models have confirmed from different perspectives the differences in passenger preferences for departure modes of transportation and the impact on departure mode selection,providing references for the configuration and service level optimization of connecting transportation modes in railway passenger hubs.
国家科技期刊平台
NSTL
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