Title

Analysis of Advanced Management of Curbside Parking -- Winner of the 2016 TRB Ryuichi Kitamura Best Paper Award

Time

1:40 p.m. – 3:00 p.m.

Location

1605 Tilia, Room 1103, West Village

Abstract

This study analyzes drivers’ search behavior for parking in a stylized setting where an attraction (destination) is located on a long one-way street and on-street parking spaces are scattered around the destination; drivers are assumed to find a space to park to minimize their walking time to the destination. Analytical models are established to describe the search outcomes and compare the impacts of parking information and reservation services. An agent-based simulation experiment is then conducted to verify the results drawn from the analytical models. Results show that, compared with the status quo, the reservation service can improve the performance of the parking system, while providing information may not. The former is proved to be a better policy than the latter under the particular setting of parking competition and search behaviors considered in this study.

Biographical Sketch

Zhibin Chen received his bachelor’s degree in transportation engineering from Sun Yat-sen University, China, in 2012. Since 2013, he has started his Ph.D. study at University of Florida under the supervision of Dr. Yafeng Yin. Zhibin’s primary research interest is transportation network modeling and optimization, and so far, he has co-authored six papers and made six presentations at various conferences. During his doctoral study, Zhibin has won the Graduate School Fellowship Award from University of Florida, the Stella Dafermos Best Paper Award, and the Ryuichi Kitamura Best Paper Award at the 95th TRB Annual Meeting.