Study Of Traveler Mode Shifts Behavior In Rail Transportation Corridor

This paper uses discrete choice model to analyze mode shifts behavior of urbantransportation corridor and intercity travel corridor. For urban transportation corridor, we usetransformational binary logit model to analyze stated preference data associated with themetro line1and2corridors in Xi’an and examine mode choice behavior for shifts to metroservice for auto, taxi, bus, electric bicycle and bicycle users. Significant factors includegender, profession, income levels, spatial factors, trip distance, in-vehicle travel time savings,out of vehicle time savings and trip cost reduction. For intercity travel corridor, we usemultinomial and nested logit methods to analyze revealed preference data provided bytravelers along the Yong-Tai-Wen corridor in Zhejiang to examine mode choice behavior.Significant factors that influence mode choice include income level, trip distance, travel time,and trip costs for individual travelers.For urban railway corridor, auto users located in undeveloped regions with lower incomelevel, female taxi users for longer distance trips, bus users with higher income in all regions,electric bicycle users located in developed regions and for longer distance work trips andbicycle users located in urban regions with higher income level prefer to shift to urban railtransport. Relative to non-work purpose, trips for work purpose are more willing to selectmetro mode. The passengers attracted by metro are not only along corridor, and most trips arefrom out of corridor and transfer by other modes.For intercity railway corridor, income level is found to be positively correlated withmode share increases for high speed rail, expressway-based bus and auto modes, while traveltime and trip costs are negatively correlated with modal shifts. Longer trips will trigger modalshifts to high speed rail services. The magnitude of elasticity for travel time is greater thantrip costs for business trips and smaller for personal/recreational trips. Specially, travel timeand trip costs are inelastic in affecting modal shifts concerning Class II highway based automode for business or personal trips. At last, the nested logit model by facility type is found tobe more effective for this multimodal and shorter corridor.