Exploring cruising using agent-based and analytical models of parking

Abstract

This article proposes two models to analyse parking search: an analytical modelcalled PARKANALYST and a geosimulation model, termed PARKAGENT,which explicitly accounts for street network and drivers’ parking-relateddecisions. We employ both models to analyse the impact of occupancy rate anddemand-to-supply ratio on cruising for parking and to compare the models’outcomes. We estimate the main characteristics of parking dynamics, and findthat the spatial effects influence system dynamics starting from an occupancy rateof 85% while become really important for analysing parking when the occupancyrate is above 92–93%.