In the last decade, new technologies have led to a boom in real-time pricing. I study the most
salient example, surge pricing in ride hailing. Using data from Uber, I develop an empirical …

This paper studies the optimal spatial pricing for a ride-sourcing platform subject to a
congestion charge. The platform determines the ride prices over the transportation network …

This paper studies platform competition in the app-based transportation industry. I present a
model of competing platforms in transport equilibrium, characterizing analytically the profit …

Using staggered entry of two dockless bike‐sharing firms, we study whether the entrant
expands or steals the market from the incumbent in 59 cities. Compared with 23 cities …

We explore efficiency and optimal policy in decentralized transport markets, such as taxis,
trucks, and bulk shipping. We show that in these markets, search frictions distort the …

Market thickness, which measures the number of participants in a market, is a critical driver
for platforms to grow and thrive. In food delivery platforms, market thickness entails the …

In this paper we explore efficiency and optimal policy in decentralized transportation markets
that suffer from search frictions, such as taxicabs, trucks and bulk shipping. We illustrate the …

We study the optimization of large-scale, real-time ridesharing systems and propose a
modular design methodology, Component Algorithms for Ridesharing (CAR). We evaluate a …

With the rapid growth of food delivery platforms, understanding their operational implications
for partnered restaurants is crucial. This paper compares three main externalities induced by …

The premise that autonomous vehicles will address older adults' immobility is not a given. As
argued in the Public Policy Institute's publication Universal Mobility-as-a-Service, public-and …