城市轨道交通网络乘客换乘路径选择行为模型

为定量分析成网运行条件下乘客在轨道交通系统内的换乘路径选择行为,在梳理乘客换乘路径选择直接与间接影响因素的基础上,引入开销系数用于描述由于列车过度拥挤导致乘客心理感受运行时间的额外增加值.提出含有惩罚系数的乘客换乘时间函数,基于乘客心理感知构建以乘车时间和换乘时间为广义费用的路径选择行为模型,并设计模型的求解算法.最后,将模型运用于重庆轨道交通网络实例分析中,结果表明:乘客倾向于选择换乘次数更少的路径3,较传统模型选择概率提高1.44%;同时,换乘惩罚系数对路径选择结果的影响灵敏度高于运行时间开销系数.

Choice Behavior of Passenger Transfer Route for Urban Rail Transit Network

In order to quantitatively analyze the transfer route selection behavior of passengers in the rail transit system, based of combing the direct and indirect factors of passenger transfer route selection, the overhead coefficient is quoted to describe the additional value added to the passenger's psychological experience due to overcrowding of trains. This paper presents a passenger transfer time function with penalty coefficient, and constructs a route selection behavior model with the solving algorithm, which taking the travel time and transfer time as the generalized cost based on the psychological perception of passengers. Finally, the model is applied to the case analysis of Chongqing rail transit network. The results show that the passengers tended to choose the route 3 with fewer transfers, which is 1.44% higher than the traditional model selection probability, and the effect of transfer penalty coefficient on the route selection result is higher than run-time overhead coefficient.