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讲座:The Logic of Matching in Ride Sharing Markets: Revenues, Service Ratings or Pick-Up Times?

发布者:运营系    发布时间:2018-07-11

运营管理系学术讲座

题 目:The Logic of Matching in Ride Sharing Markets: Revenues, Service Ratings or Pick-Up Times?

演讲人:Hai Wang, Assistant Professor, Singapore Management University

主持人:蒋炜 教授,上海交通大学运营管理系

时 间:2018年7月18日(周三)14:00—15:30
地 点:上海交通大学 徐汇校区新上院S310室

内容摘要:

We study a class of multi-period multi-objective online optimization problems, where a decision maker takes actions over time in an online fashion without being informed of future scenarios. To balance the trade-offs between different objectives, we develop an efficient online policy to derive the “compromise solution”, which minimizes the “p-distance” from the attained KPIs to the utopia target. We apply the online policy in ride sharing market settings, and provide an online matching policy that simultaneously incorporates driver service scores, pick-up distances and passenger revenues. Extensive numerical simulations based on real ride sharing records reveal the benefits of the policy: (1) drivers with higher service scores are dispatched with more orders; (2) passengers are more likely to be matched to drivers with higher service scores; (3) the platform obtains a higher revenue and better long-term brand reputation. Compared to legacy policies currently in use, such as the weighted average policy or the “closest distance” policy, we observe that all parties in the ride-sharing eco-system, from drivers, passengers, to the platform, are better off under our proposed online matching policy.

嘉宾简介:
Hai Wang is an Assistant Professor in the Area of Intelligent Systems &Optimization at Singapore Management University. He held Bachelor degree from Tsinghua University, Dual Master degrees in Operations Research and Transportation from MIT, and Doctoral degree from MIT’s Operations Research Center. His research has focused on Operations Research and its application sinurban, transportation and logistics systems. Particularly, he is interested in on-demand shared transportation systems. He also explores research in big data inference and healthcare analytics. He has papers published in “Transportation Science”, “American Economic Review Papers & Proceedings”, “Manufacturing & Service Operations Management”, and “Transportation Research Part B: Methodological”. He also served as the co-President of MIT Chinese Students& Scholars Association and Chair of MIT-China Innovation and Entrepreneurship Forum.


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