How Are Uber/Lyft Shaping Municipal On-Street Parking Revenue?
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Date
2020-11-02
Authors
Clark, Benjamin Y.
Brown, Anne
Journal Title
Journal ISSN
Volume Title
Publisher
Social Science Research Network
Abstract
Autonomous Vehicles (AVs) will impose challenges on cities that are currently difficult to fully
envision yet critical to begin addressing. This research makes an incremental step toward
quantifying the impacts that AVs by examining current associations between transportation
network company (TNC) trips—often viewed as a harbinger of AVs—and parking revenue in
Seattle. Using Uber and Lyft trip data combined with parking revenue and built environment
data, this research models projected parking revenue in Seattle. Results demonstrate that total
revenue generated in each census tract will continue to increase at current rates of TNC tripmaking;
parking revenue will, however, start to decline if or when trips levels are about 4.7 times
higher than the average 2016 level. The results also indicate that per-space parking revenue is
likely to increase by about 2.2 percent for each 1,000 additional TNC trips taken if no policy
changes are taken. The effects on revenue will vary quite widely by neighborhood, suggesting
that a one-size-fits-all policy may not be the best path forward for cities. Instead, flexible and
adaptable policies that can more quickly respond (or better yet, be proactive) to changing AV
demand will be better suited at managing the changes that will affect parking revenue.
Description
33 pages
Keywords
ride-hailing, transportation network companies, autonomous vehicles, parking, public finance and budgeting
Citation
Clark, Benjamin Y. and Brown, Anne, How Are Uber/Lyft Shaping Municipal On-Street Parking Revenue? (February 11, 2020). Available at SSRN: https://ssrn.com/abstract=3591268 or http://dx.doi.org/10.2139/ssrn.3591268