Analysis of advanced management of curbside parking

Abstract

This paper 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 parking space that minimizes their walking time to the destination. Analytical models were established to describe the search outcomes and compare the impacts of parking information and reservation services. An agent-based simulation experiment was 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 for the parking competition setting and search behaviors considered in this paper.