Is the curb 80% full or 20% empty? Assessing the impacts of San Francisco's parking pricing experiment

Authored by Adam Millard-Ball, Rachel R. Weinberger, Robert C. Hampshire

Date Published: 2014-05

DOI: 10.1016/j.tra.2014.02.016

Sponsors: United States National Science Foundation (NSF)

Platforms: No platforms listed

Model Documentation: Other Narrative Mathematical description

Model Code URLs: Model code not found

Abstract

The city of San Francisco is undertaking a large-scale controlled parking pricing experiment. San Francisco has adopted a performance goal of 60-80% occupancy for its metered parking. The goal represents an heuristic performance measure intended to reduce double parking and cruising for parking, and improve the driver experience; it follows a wave of academic and policy literature that calls for adjusting on-street parking prices to achieve similar occupancy targets. In this paper, we evaluate the relationship between occupancy rules and metrics of direct policy interest, such as the probability of finding a parking space and the amount of cruising. We show how cruising and arrival rates can be simulated or estimated from hourly occupancy data. Further, we evaluate the impacts of the first two years of the San Francisco program, and conclude that rate changes have helped achieve the City's occupancy goal and reduced cruising by 50%. (C) 2014 Elsevier Ltd. All rights reserved.

Tags

Cruising Parking management Parking pricing Queuing theory SFpark parking search