Modeling urban parking
The patterns of urban parking supply and demand are highly heterogeneous, in space and in time, and establishing parking policy that guarantees efficient use of urban parking space on the one hand and encourages the use of public transport on the other is not easy. However, every city requires adequate parking policy which goal is to determine parking prices and regulations. Parking policy should compromise between contradictory demands of individual (low parking prices, fast parking search, short walk to destination) and society (efficient use of urban space and social equality in regards to the use of collected fees and negative environmental externalities – air pollution, noise, congestion).
We study urban parking with the help of the agent-based simulation models that are based on the adequate representation of drivers’ parking search. We reveal this behavior in serious computer games and field studies. We aim at a series of systemic solutions that account for the local parking regulations and can be applied in any city.
Collaborators: Dr. Eran Ben-Elia, Ben Gurion University
Publications:
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I. Benenson, K. Martens and Birfir, S. 2008, "PARKAGENT: an agent-based model for parking in the city", Computers, Environment and Urban Systems, 32, 431–439
Funded by:
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Israeli Prime Minister Office, Innovation in Transportation Fund, Adaptive Dynamic Parking Pricing: From theory to Practical Implementation, 2016-2018
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Israeli Science Foundation, Tessellation of urban parking prices, 2018 – 2021