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 …

Ridesharing platforms match drivers and riders to trips, using dynamic prices to balance
supply and demand. A challenge is to set prices that are appropriately smooth in space and …

Two-sided platforms rely on their recommendation algorithms to help their visitors
successfully find a match. However, on platforms such as VolunteerMatch-which has …

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 focus …

Problem definition: Agents in online marketplaces (such as ridesharing and freelancing
platforms) are often strategic, and heterogeneous in their compatibility with different types of …

Ride-hailing platforms offer riders pooling services to share rides with other riders. The
introduction of shared rides mitigates the driver shortage and reduces rider wait times …

Ridesharing platforms match riders and drivers, using dynamic pricing to balance supply
and demand. The origin-based" surge pricing", however, does not take into consideration …

We study a market mechanism that sets edge prices to incentivize strategic agents to
organize trips that efficiently share limited network capacity. This market allows agents to …

We study a food delivery platform's joint pricing and staffing problem under the endogenous
participation of three sides—restaurants, customers, and deliverers—each with its own …

In ridesharing platforms such as Uber and Lyft, it is observed that drivers sometimes
collaboratively go offline when the price is low, and then return after the price has risen due …