We apply NetLogo to construct agent-based simulation models to verify the predictions and insights drawn from the proposed theoretical tools considering different parking management services, such as parking information, reservation, as well as status quo.
Specifically, we consider a long one-way street where the destination is located and on-street parking spaces are scattered around the destination. Drivers who go to the destination need to select one of the available spaces to park. They are assumed to make this selection in a way that minimizes their walking time to the destination. Further, because the street is one-way and very long, once a driver has passed a parking space, she would not be able to come back for it.
Status quo: since drivers have no access to parking information or reservation services, we assume that they will start cruising for parking at different spaces based on their different risk-taking attitudes. For example, risk-averse dirvers prefer to start cruising for parking at spaces far from their destination, while risk-seeking drivers may drive very close to the destination and start from there.
Information: although drivers have access to an information service, it may not be wise for drivers to simply drive to the best currently available space, because another driver before them may take the space and other occupied spaces may soon become vacant. Therefore, we assume that drivers will start cruising for parking at a particular space and then take the first vacant space and walk to the final destination.
Reservation: since drivers are allowed to reserve parking spaces, they are assumed to reserve the vacant one closest to the destination when they enter the street.