With the maturity of vehicle sharing systems including carsharing, bike-sharing, and scooter
sharing systems, the imbalance of vehicle distribution across the service area has become a …

Crowdsourcing is a computing paradigm where humans are actively involved in a
computing task, especially for tasks that are intrinsically easier for humans than for …

Revenue management (RM) is the application of analytical methodologies and tools that
predict consumer behavior and optimize product availability and prices to maximize a firm's …

We explore spatial price discrimination in the context of a ride-sharing platform that serves a
network of locations. Riders are heterogeneous in terms of their destination preferences and …

The sharing economy, a term we use to refer to business models built around on-demand
access to products and services mediated by online platforms that match many small …

In a ride-sharing system, arriving customers must be matched with available drivers. These
decisions affect the overall number of customers matched, because they impact whether …

This paper considers a closed queueing network model of ridesharing systems, such as Didi
Chuxing, Lyft, and Uber. We focus on empty-car routing, a mechanism by which we control …

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 …

We examine the effect of the introduction of ridehailing in US cities on fatal traffic accidents.
The arrival of ridehailing is associated with an approximately 3% increase in the number of …

Bipartite-matching markets pair agents on one side of a market with agents, items, or
contracts on the opposing side. Prior work addresses online bipartite-matching markets …