报告题目：From passenger-oriented to passenger-freight co-modal rail transit: Mitigating crowding and improving efficiency from network design to demand management

时间：2025年9月25日15:00-16:30

地点：中关村校区主楼422

腾讯会议号（如有）：无

报告人：Yahan Lu（卢亚菡）

报告人国籍：中国

报告人政治面貌：群众

报告人职务：无

报告人职称：博士后研究员

报告人工作单位：荷兰代尔夫特理工大学

报告人简介：

Yahan is a postdoctoral researcher at the Sustainable Urban Multimodal Mobility (SUM) Lab at Delft University of Technology. She obtained her PhD from Beijing Jiaotong University, where she also earned a Bachelor's degree. She is working on the Clean City Amsterdam project, where she develops methodologies to address the multi-modal on-demand waste collection problem. She was also involved in the EU-Rail Railway flagship project MOTIONAL, which features close collaboration with Netherlands Railways. Her interests span from strategic network design to operational scheduling, approached from both theoretical and practical perspectives. She applies cutting-edge operations research techniques to improve decision-making in transportation and logistics, with a focus on public transport. Her research has been published in journals such as Transportation Research Part B and Engineering, and recognized by IAROR through the best paper award in the 11th International Conference on Railway Operations Modelling and Analysis.

报告内容简介：

Urban rail systems face surging and increasingly heterogeneous demand, while large scale network expansion is often infeasible due to financial and time constraints. Operators must therefore use existing infrastructure more efficiently. This talk presents an integrated pipeline from strategic network redesign to demand side management for delivering high quality service on existing systems. First, we show that explicitly modeling crowding in line planning can substantially reduce crowding at only a small increase in passenger travel time. Second, when passenger-oriented systems need to accommodate both passenger and freight demand, redesigning the line plan from scratch on the existing infrastructure outperforms frequency adjustments or incremental expansions. Third, we demonstrate the value of coordinated demand management with timetabling, which reduces the required fleet size and passenger waiting times while ensuring fairness across stations. Finally, we discuss a reservation-based demand management strategy that further mitigates extreme unfairness and improves capacity alignment under time-varying demand.

（承办：管理科学与物流系、科研与学术交流中心）