Ride‐hailing platforms such as Uber, Lyft, and DiDi have achieved explosive growth and
reshaped urban transportation. The theory and technologies behind these platforms have …

Abstract Problem Definition: Motivated by ride-hailing platforms such as Uber, Lyft and Didi,
we study the problem of matching riders with self-interested drivers over a spatial network …

Optimizing shared vehicle systems (bike-/scooter-/car-/ride-sharing) are more challenging
compared with traditional resource allocation settings because of the presence of complex …

Pre-disaster planning and post-disaster scheduling are common strategies to increase the
resilience of critical infrastructure. In this paper, we propose a new two-stage stochastic …

Problem definition: Motivated by the debate around workers' welfare in the gig economy, we
propose a framework to evaluate current practices and possible alternatives. We study a …

Abstract Service systems often feature multiple classes of customers with different service
needs and multiple pools of servers with different skillsets. How to efficiently match …

We consider a fundamental pricing model in which a fixed number of units of a reusable
resource are used to serve customers. Customers arrive to the system according to a …