Zhibin Chen, Ph.D. student, University of Florida
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.
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