We consider a ride-hailing platform that provides free information to taxi drivers. Upon receiving a rider's request, the platform broadcasts the rider's origin and destination to idle drivers, who accept or ignore the request depending on the profitability considerations. We show that providing...

With the popularization of ride-sharing services, drivers working as freelancers on ride-sourcing platforms can design their schedules flexibly. They make decisions regarding whether to participate in work, and if so, how many hours to work. Understanding flexible labor supply behaviour is...

This paper empirically studies a decentralized dynamic peer-to-peer matching market. We use data from a leading ride-sharing platform in China to estimate a continuous-time dynamic model of search and match between drivers and passengers. We assess the efficiency of the decentralized market by...

With the popularization of ride-sharing services, drivers working as freelancers on ride-sharing platforms can design their schedules flexibly. They make daily decisions regarding whether to participate in work, and if so, how many hours to work. Factors such as hourly income rate affect both...

We study matching over time with short- and long-lived players who are very sensitive to mismatch. To characterize the mismatch, we model players' preferences as uniformly distributed on a circle, so the mismatch between two players is characterized by the one-dimensional circular angle between...

At the end of 2017, the leading ride-hailing platform DiDi Express replaced the commonly used surge pricing mechanism with a queueing mechanism, called the virtual queueing mechanism, in a number of cities across China to mitigate public relations pressure. To explore the benefits of the virtual...

A buyer engages a procurement service provider (PSP) to short-list pre-screened suppliers for final selection. The PSP can exert costly effort to include promising candidates that have a higher probability to be deemed qualified by the buyer. The buyer optimizes two key decision variables in her...