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 …

A ride-sharing platform with a price-setting power mechanism exists in practice. However, it
is unclear how supply chain transactions (ride price) and yields are affected due to a …

Consumer cancellation disrupts companies' normal operations and incurs significant costs.
This urges companies to understand the reasons for consumer cancellation. However …

Service platforms must determine rules for matching heterogeneous demand (customers)
and supply (workers) that arrive randomly over time and may be lost if forced to wait too long …

This paper proposes the use of heatmaps as a control lever to manage the probabilistic
repositioning of independent drivers in crowdsourced delivery platforms. The platform aims …

We develop a two-period, five-stage game model with sharing utility to analyze how a
manufacturer competes with a sharing economy platform that facilitates sharing of the …

Tele-driving refers to a novel concept by which drivers can remotely operate vehicles
(without being physically in the vehicle). By putting the human back in the loop, tele-driving …

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 …

It is critical for an on-demand platform to understand its users' strategic-decision behaviors
and thereby design a good policy to match the supply with the demand. Through behavioral …

Although many well-known algorithms can solve the bipartite matching problem instance
efficiently, it remains an open question how one could estimate the expected optimal …