||Parking is often underpriced and expanding its capacity is expensive; universities
need a better way of reducing congestion outside of building costly parking garages.
Demand based pricing mechanisms, such as auctions, offer a possible solution to the
problem by promising to reduce parking at peak times. However, faculty, students,
and staff at universities have systematically different parking needs, leading to
different parking valuations. In this study, I determine the impact university affiliation
has on predicting bid values cast in three Dutch Auctions of on-campus parking permits
sold at Chapman University in Fall 2010. Using clustering techniques crosschecked
with university demographic information to detect affiliation groups, I ran a log-linear
regression, finding that university affiliation had a larger effect on bid amount
than on lot location and fraction of auction duration. Generally, faculty were predicted
to have higher bids whereas students were predicted to have lower bids.