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On-demand meal delivery services: from modeling to management

2024-12-19  

报告题目:On-demand meal delivery services: from modeling to management

时间:2024年12月24日 上午10:00-11:30

会议地点:B312

报告人:Zhang Kenan

举办人:贺冬冬

报告人简介:

  Dr. Kenan Zhang is a  tenure-track Assistant Professor at the École Polytechnique Fédérale de Lausanne (EPFL) and leads the Laboratory for Human-Oriented Mobility Eco-system (HOMES). Her research centers at the mathematical modeling, optimization and operations management of urban transportation systems, with special focus on emerging mobility services and technologies. She received her PhD in Transportation Engineering from Northwestern University. Before joining EPFL, she was a postdoctoral research at ETH Zurich. She has published papers in transportation top journals, such as Transportation Science, Transportation Research Part A/B/C/E/.

报告内容和摘要:

      On-demand meal delivery service has experienced rapid growth in recent years. While it shares many similarities with on-demand mobility services (e.g., Uber and Didi), the meal delivery services (MDS) exhibit distinct characteristics. To maximize service capacity, meal-delivery platforms often group multiple orders into a bundle. This bundling process is more complex than ride-pooling, which typically produce trips shared by two riders. Besides, unlike on-demand mobility services that manage a two-sided market between riders and drivers, MDS is operated in a three-sided market comprising customers, couriers, and restaurants. In this talk, I will present our recent work on MDS, focusing on how we model these unique features and what managerial insights are generated from the model.

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