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机构地区:[1]南京航空航天大学,南京210000
出 处:《武汉理工大学学报(交通科学与工程版)》2015年第4期763-767,共5页Journal of Wuhan University of Technology(Transportation Science & Engineering)
基 金:国家自然科学基金项目(批准号:51208261);江苏省自然科学基金项目(批准号:BK20140821);中国博士后基金项目(批准号:2013M541667)资助
摘 要:基于机场旅客出行调查的SP/RP融合数据,分别构建了Nested Logit(NL)模型和Mixed Logit(MXL)模型,分析了在机场轨道交通建设后旅客出行方式选择行为特征,并以南京禄口机场为实例研究对象,对比分析了两类模型的估计结果.研究显示,MXL模型对于融合数据的整体拟合效果更高,出行时间、费用是影响旅客出行方式选择的主要因素,出行目的、托运行李数量会显著影响旅客是否选择轨道交通.弹性分析数据显示,缩短轨道交通车外运行时间,旅客将更愿意放弃使用个体交通方式;出租车以及机场巴士出行旅客最易受到出行费用影响,这两类旅客以后使用轨道交通通达机场的可能性最大.Using the stated preference (SP) and revealed preference (RP) data, we analyzed the pas- sengers' choice of airport access mode. Nested logit (NL) and mixed logit (MXL) model were respec- tively established to identify the preferences of airport passengers after the construction of airport rail taking Nanjing Lukou Airport as an example. Comparison results indicated that MXL model allowed the better estimate result for SP/RP combined data. Travel time and travel cost are the major factors affecting choice of airport access mode. Travel purpose and luggage quantity significantly affected the passengers' intention of selecting airport rail. Elasticity analysis results show that if the out-of-vehicle time of airport rail is shortened, more passengers will use public transport mode to airport. Passen- gers who use taxi or airport bus to airport are significantly affected by travel cost, and they show the strongest intention to use airport rail to airport.
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