In urban rail transit (URT) systems, fare incentives are emerging as a method to manage peak hour congestion. In this study, we propose a practical framework to model the departure time and route choice of URT passengers during peak hours. First, various attributes that influence the departure choice of passengers are investigated, and the willingness of passengers to shift their departure time or routes is evaluated based on a questionnaire survey of passengers of the Shanghai metro. Then, a discrete choice model is used to identify the interrelationships between fare incentives and the choice behaviors of passengers. We propose the following two fare incentive strategies: a time-based fare incentive strategy (TBFIS); and a route-based fare incentive strategy (RBFIS). These strategies consider changes in both time and space. Finally, the effectiveness of the two different fare incentive strategies is evaluated using the Shanghai URT network simulation system.

在城市轨道交通 (URT) 系统中，票价激励措施正在成为管理高峰时段拥堵的一种方法。在这项研究中，我们提出了一个实用的框架来模拟高峰时段 URT 乘客的出发时间和路线选择。首先，调查影响乘客出发选择的各种属性，通过对上海地铁乘客的问卷调查，评估乘客改变出发时间或路线的意愿。然后，使用离散选择模型来识别票价激励与乘客选择行为之间的相互关系。我们提出以下两种票价激励策略：基于时间的票价激励策略（TBFIS）；以及基于路线的票价激励策略 (RBFIS)。这些策略考虑了时间和空间的变化。最后，