报告内容摘要：

The fast-growing carsharing and ridesharing businesses are generating economic benefits and societal impacts in the modern society. However, they possess limitations to cover diverse populations and areas. In this paper, we consider an integrated car-and-ride sharing system and optimize its operations to improve the mobility of underserved populations under transportation scarcity. We consider two types of demands: Type 1 drivers who rent shared cars and Type 2 users who need rides from Type 1 drivers. We propose a two-phase model to maximize demand coverage. In Phase I, we match Type 1 drivers and Type 2 users based on a spatial-temporal network; in Phase II, we optimize pick-up and delivery routes and schedules for matched Type 1 and Type 2 users under random driving time via solving a two-stage stochastic mixed-integer programming model. We minimize the total travel cost plus expected penalty cost of users' waiting time and system overtime, and develop a decomposition algorithm for improving computational efficiency. We conduct computational studies on various instances using census data of underserved populations in Washtenaw County, Michigan. Our results show high demand fulfillment rates and effective matching and scheduling with low risk of waiting and overtime. The integrated system also achieves better performance if we allow vehicle relocation.

报告人简介：

Siqian Shen is an Associate Professor of Industrial and Operations Engineering at the University of Michigan and also serves as an Associate Director in the Michigan Institute for Computational Discovery & Engineering (MICDE). She obtained a B.S. Degree
from Tsinghua University in 2007 and Ph.D. from the University of Florida in 2011. Her theoretical research interests are in integer programming, stochastic/robust optimization, and network optimization. Applications include optimization and risk analysis of energy, healthcare, cloud-computing, and transportation systems. Her work has been supported by the National Science Foundation, Army Research Office, Department of Energy, DiDi ChuXing, IBM, and P&G. She has received INFORMS Computing Society Best Student Paper award (runner-up), IIE Pritsker Doctoral Dissertation Award (1st Place), IBM Smarter Planet Innovation Faculty Award, and Department of Energy (DoE) Early Career Award.  

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