  For drivers in ride-hailing companies, allocation within the city is
paramount to get matched with rides. This decision depends on many factors,
where some of them (such as demand and allocation of others) are unknown for
the drivers, but are available for the company. In this work, we investigate
whether it is beneficial or not for the ride-hailing company to share this
information with their drivers. To do so, we study the problem through the lens
of Stackelberg games, and we propose a new indicator called the Expected Value
of Shared Information. We present a simplified model to conduct a
proof-of-concept study: we provide explicit single-level reformulations of the
bilevel programming problems derived from the model, and perform several
simulations with randomly generated data. Our preliminary results suggest that
sharing information could be beneficial and deserves to be further studied.
