2018/06/28 by Fulman, Nir, Benenson, Itzhak
#FOS: Physical sciences #Physics and Society (physics.soc-ph)
paper · doi:10.48550/arxiv.1806.10874
We propose a method for approximating the probability p(τ, n) of searching for on-street parking longer than time τ from the start of a parking search near a given destination n, based on high-resolution maps of parking demand and supply in a city. We verify the method by comparing its outcomes to the estimates obtained with an agent-based model of on-street parking search. As a practical example, we construct maps of cruising time for the Israeli city of Bat Yam, and demonstrate that despite the low overall demand-to-supply ratio of 0.65, excessive demand in the city center results in parking searches of longer than 10 minutes. We discuss the application of the proposed approach for urban planning.