Over the past few decades, the activity-based approach has received extensive attention in travel behaviour modelling in order to understand the underlying motivation of trip making. In this study, we optimize the transit network and activity location plan with explicit consideration of the correlations between passengers’ activity choices and travel choices by using the activity-based approach. Considering the conflicting interests of three stakeholders (i.e., the government, the transit company and the passengers) involved in transit network design and activity location planning, a bi-level programming model is formulated to depict the three-party game, and multi-objective optimization is proposed. A Pareto genetic algorithm is adopted to solve the model, and a numerical example is provided to illustrate the application of the proposed model and solution algorithm. The results show that under different transit network designs and activity location plans, passengers’ activity and travel choices, as well as the system-wide indicators including space-time accessibility of activity locations, social welfare and subsidy expenses vary significantly.

在过去的几十年里，基于活动的方法在旅行行为建模中受到广泛关注，以了解旅行的潜在动机。在本研究中，我们通过使用基于活动的方法，在明确考虑乘客活动选择与出行选择之间的相关性的情况下优化公交网络和活动地点计划。考虑到公交网络设计和活动选址规划中涉及的三个利益相关者（即政府、公交公司和乘客）的利益冲突，制定了一个双层规划模型来描述三方博弈，多目标建议优化。采用帕累托遗传算法求解模型，并给出了一个数值例子来说明所提出的模型和求解算法的应用。结果表明，在不同的公交网络设计和活动地点规划下，乘客的活动和出行选择，以及活动地点时空可达性、社会福利和补贴支出等全系统指标存在显着差异。