Study on the influence of metor time-based pricing measures on different types of passengers'travel choice behaviors
The issue of peak hour congestion of urban rail transit represents a critical concern for the daily lives of citizens,demanding immediate attention.Implementing time-based pricing strategies for metro services is emerging as an effective demand management approach to alleviate the rush hour congestion of urban rail transit.This study investigates passengers'travel choice behavior under diverse time-based pricing schemes for metros,aiming to inform the development of well-founded time-based pricing measures that can effectively mitigate peak-hour congestion in urban rail transit.Initial data collection utilizes SP and RP questionnaires.Subsequently,a second-order clustering method categorizes passengers into three groups,and their characteristics are analyzed.Finally,a multiple logistics regression model is employed to delve into the travel patterns of various passenger types,with a specific emphasis on their travel choice behavior under various time-based pricing measures.Passengers characterized as type 2 and 3 exhibit sensitivity towards time-based pricing measures,often choosing to travel during off-peak hours or opting for alternative transportation methods.
万方数据
维普
