摘要
利用2012年节假日出行行为调查的RP-SP融合数据,基于出行链复杂度与出行方式选择行为(Chain-Mode)建立信息条件下的Nested Logit模型,并利用包容系数和相异性参数对模型的有效性进行辨识.研究表明,在多方式交通信息的作用下,9%的出行者取消节假日中的出行,13%的出行者改变其交通方式.同时,出行费用、停车费用、小汽车拥有量、性别、信息需求度、出行时间和出行距离等是影响Chain-Mode选择的主导因素.停车费用越高,出行时间和出行距离越长,出行者更倾向于选择复杂链出行;同时,出行费用低且信息需求度高的出行方式被选择的概率大.
Based on the RP-SP fusion data obtained from the holiday travel behavior survey in 2012,the integrated multimodal travel information （IMTI） is taken as the research condition.It develops the Nested Logit model under IMTI,on the bases of trip chain complexity and trip mode choices （Chain-Mode）.The effectiveness of the model is identified by the inclusive value and dissimilarity parameter.The result shows that 9％ of the travelers will cancel their travel in holidays,and 13％ will change their trip modes under the influence of IMTI.At the meantime,travel cost,parking fee,car ownership,gender,information demand,travel time and trip distance are dominant factors that influence the Chain-Mode choices in holidays.Higher parking fee and longer travel time and trip distance will encourage people to choose a complex chain.Besides,the trip mode with low travel cost and high information demand have the high probability to be chosen.
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2014年第1期229-234,共6页
Journal of Transportation Systems Engineering and Information Technology
基金
国家重点基础研究发展计划资助课题(2012CB725403)
国家自然科学基金项目资助(51178032)
中央高校基本科研业务费专项资金资助(2014YJS068)
