GIS-based method for assessing city parking patterns
Authored by Itzhak Benenson, Nadav Levy
Date Published: 2015
DOI: 10.1016/j.jtrangeo.2015.06.015
Sponsors:
Israeli National Science Foundation
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Abstract
Every car trip ends with a parking search and parking. However, current
transportation research still lacks practical tools and methodologies to
analyze parking needs and dynamics, which cannot be adequately performed
at an aggregate level. This paper presents PARKFIT, a novel algorithm
for estimating city parking patterns that is based on a spatially
explicit high-resolution view of the inherently heterogeneous urban
parking demand and supply. Using high-resolution data obtainable from
most municipal GIS, we apply PARKFIT to evaluate the fit between
overnight parking demand and parking capacity in the city of Bat Yam, both currently and within the framework of the Bat Yam 2030
transportation master plan. We then analyze PARKFIT's capabilities and
limitations, and supply PARKFIT as a free ArcGIS-based software. (C)
2015 Elsevier Ltd. All rights reserved.
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Agent-based model
On-street parking
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