中文摘要：

在分析通勤者出行时间与出行方式选择特征的基础上,建立出行时间—出行方式与出行方式—出行时间两个方向的Nested Logit模型.利用北京市第三次居民出行调查数据,借助BIOGEME软件对两个模型进行估计.首先通过包容系数对Nested Logit模型的结构关系进行辨识,结果显示,出行时间—出行方式选择模型比出行方式—出行时间选择模型合理,表明通勤者在选择出行时间后,在其约束下考虑合适的出行方式;在此基础上,对出行时间—出行方式选择模型的参数进行标定并分析标定结果,进一步揭示通勤者出行时间与出行方式的选择特征,从而为制定高峰时期相关管理政策提供理论依据.

英文摘要：

With analysis of the joint choice features of travel time and travel mode,the paper develops two nested Logit（NL） models on commuters＇ travel time and travel model choice behavior.The data from the 2005 Beijing household travel survey are used to estimate the two models by the BIOGEME.The structure of the NL model is identified by the inclusive value parameter,and the result reveals the travel time-travel mode model is more reasonable than the travel mode-travel time model,which indicates that the commuters always choose the travel time at first and then consider the travel mode under the time constrain.Moreover,the parameters of travel time-travel mode model are calibrated and analyzed.The joint choice features of travel time and travel mode are further discussed,which provides theory basis for relevant management policy making during peak time.