北航经管学院“工程管理论坛”系列讲座
（2025年第9期，总第62期）
讲座题目：Fairness Meets Efficiency: Implementing Soft-Stable Matching for Appointment-Based Metro Access
讲座时间：2025.11.04（周二）15:00-16:30
讲座地点：新主楼A1148
讲座嘉宾：阴佳腾 教授，北京交通大学
主持人：刘天亮 教授
讲座嘉宾 简介
阴佳腾，北京交通大学系统科学学院教授，大数据与智能计算中心系主任，国家“优青”、中国科协“青托”获得者，国家级平台“轨道交通控制与安全国际联合中心”副主任，曾获北京交通大学青年五四奖章、优秀共产党员“标兵”等荣誉。主要研究方向是轨道交通运营优化与管理、大模型与智能计算等。分别于2012年、2018年在北京交通大学获得学士、博士学位，于2015年、2023年、2024-2025年在美国威斯康星大学麦迪逊分校、麻省理工学院、新加坡国立大学访问学习。
主持和参与国家自然科学基金重大/重点/优青、国家科技部重点研发课题、北京市自然科学基金、中国工程院重大咨询项目等国家级/省部级项目30余项。在TR-B/C/E、JOC、EJOR、NRL、RESS等期刊上发表论文50余篇，论文引用次数4000余次，6篇论文入选ESI高被引和热点论文，连续多年入选全球前2%顶尖科学家。目前，担任领域权威刊物Transportation Research Part C客座编辑和编委、INFORMS年会联席主席、《都市快轨交通》青年编委，中国运筹学会智能计算分会常务理事等，获教育部自然科学二等奖（2025）、北京市自然科学二等奖（2023）、中国城市轨道交通协会科技进步一等奖（2022）、中国自动化学会科技进步一等奖（2019）、中国自动化学会自然科学二等奖（2021）等科技奖励。
讲座概要
Public transit systems are essential for ensuring equitable urban mobility, yet rising congestion and limited accessibility continue to marginalize vulnerable groups such as seniors, pregnant women, and individuals with disabilities. Addressing this societal challenge requires a mechanism that balances fairness in access with system-wide efficiency. We introduce a novel Appoint-to-Go (AG) service that enables passengers to pre-book entry slots at metro stations, thereby alleviating crowding while ensuring equitable access for priority users. We formulate the appointment allocation as a soft-stable matching problem integrated with network flow constraints. We introduce the concept of soft stability—defined as the convex hull of all stable allocations—which relaxes strict fairness to enhance efficiency while preserving aggregate equity. Polyhedral analysis yields a compact linear formulation that bridges fairness-driven matching theory with large-scale optimization.
Using field implementation data from the Nanchang Metro system, we evaluate the system’s real-world impact. For priority passengers such as seniors, pregnant women, and individuals with disabilities, the introduction of the AG mechanism substantially improved accessibility satisfaction and reshaped travel behavior, encouraging more flexible time-slot choices under capacity pressure. For regular passengers, reallocating one of six gates to the AG system did not increase congestion; regression analysis even suggests a slight improvement in overall flow efficiency. While the appointment mechanism did not significantly alter slot-level inequality, the negative coefficients indicate a modest smoothing effect as some passengers shifted toward less congested intervals. Overall, the AG mechanism operates effectively in real-world metro environments, fosters behavioral adaptation, and delivers tangible social benefits—enhancing both fairness and efficiency in large-scale urban transit management.
