报告时间：2023年12月27日（星期三）10:30

报告地点：三立苑324会议室

报 告 人：鲍月 教授

工作单位：北京交通大学

举办单位：汽车与交通工程学院

报告简介：

The recent emerge of third-party integrators of ride-sourcing platforms makes it possible for passengers to have access to service from several platforms at the same time. While passengers make platform choice by considering the average waiting time on each platform, a third-party integrator can assign platforms to passengers based on their actual waiting time, which is affected by factors like passengers’ and vacant vehicles’ exact locations. We propose to distinguish passengers’ actual waiting time and the average waiting time on a ride-sourcing platform, and model the order assignment in a ride-sourcing market with a third-party integrator. We show that under some mild conditions, a third-party integrator can always reduce passengers’ generalized trip cost, leading to higher passenger demand and larger social welfare. Furthermore, it is proved that if the average waiting time is directly determined by the pick-up distance, passengers are uniformly distributed and vacant vehicles’ location follows spatial Poisson process, the waiting time distribution with a third-party integrator is the same as that when all platforms are merged into a single one, and the resulting probability that a platform is assigned to serve a passengers is equal to the portion of its vacant vehicles in the whole integrated market. Passengers’ selection of platform options is further considered in the integrator’s platform assignment problem, and a variational inequality problem is given to depict this two-stage problem. It is demonstrated numerically that platforms with high trip fare can benefit more from the platform assignment case, while those with lower trip fare can benefit more from passengers’ selection of platform options.

报告人简介：

鲍月教授是国家高层次青年人才基金获得者，管理科学与工程学会理事、复杂系统管理青年工作委员会副主任委员。其致力于城市交通系统建模分析与优化管理的科学方法研究，围绕城市道路交通网络建模与优化、高峰期交通拥堵演化机理分析、交通需求管理政策研究等方面做出了一系列创新性研究成果。作为团队年轻骨干，以子课题负责人身份重点参与团队国家自然科学基金委基础科学中心项目、国家自然科学基金委专项基金等项目多项；主持国家自然科学基金委国际（地区）合作重点项目等项目多项。