Rethinking performance based parking pricing: A case study of SFpark

Tayo Fabusuyi and Robert C. Hampshire

Transportation Research Part A: Policy and Practice, 2018, vol. 115, issue C, 90-101

Abstract: In an effort to reduce circling and cruising in cities’ central business districts (CBDs), a number of cities have begun implementing pricing programs that modify parking rates based on observed occupancy levels. We improve on this pricing mechanism by developing a forward-looking policy instrument. The instrument employs a two-stage panel data regression and optimization model that influences demand for parking spaces by changing parking rates via computed price elasticities of parking demand measures. Coefficient estimates that include the elasticity measures from the panel data regression are used to fit a linear prediction model that is the primary input to the optimization model.

Keywords: Curb parking; Price elasticity; Panel data; Random effect; Policy scenarios (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (6)

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DOI: 10.1016/j.tra.2018.02.001

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