Detours in shared rides

Quem: 

Ilan Lobel (NYU)

Onde: 

Via Zoom

Quando: 

29 de Outubro de 2020, às 16h

Detours are considered key for the efficient operation of a shared rides service, but are also the major pain point for consumers of such services. This paper studies the relationship between the value generated by shared rides and the detours they create for riders. We establish a fundamental limit on the sum of value and detour, and prove this leads to a tight bound on the Pareto frontier of values and detours in a general setting with an arbitrary number of requests. We explicitly compute the Pareto frontier for one family of city topologies, and construct it via simulation for several more networks, including one based on ridesharing data from commute hours in Manhattan. We find that average detours are surprisingly small even in low demand density settings. We also find that by carefully choosing the match objective, detours can be significantly reduced with little impact on value, and that the density of ride requests is far more important than detours for the effective operations of a shared rides service. In response to these findings, we propose that platforms implement a two-product version of a shared rides service. Joint work with Sebastien Martin (Kellogg).

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*Texto informado pelo autor. 

Palestrante: 

Ilan Lobel is an Associate Professor of Technology, Operations and Statistics and the Robert L. & Dale Atkins Rosen Faculty Fellow at New York University's Stern School of Business. He received his B.S. in Electrical Engineering from PUC-Rio in 2004 and his Ph.D. in Operations Research from MIT in 2009. Before joining NYU Stern, he was a post-doctoral researcher at the Microsoft Research New England Lab. His research focuses on issues related to operations and new technologies, including issues such as pricing, learning and contract design in dynamic and networked markets. His work has been recognized by the 2018 MSOM Young Scholar Prize and the 2014 INFORMS Revenue Management and Pricing Section Prize. He currently serves as an associate editor for Management Science and Operations Research and as a senior editor for Production and Operations Management.