Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94129
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Title: Unlock the sharing economy : the case of the parking sector for recurrent commuting trips
Authors: Liu, W 
Zhang, F
Wang, X
Shao, C 
Yang, H
Issue Date: Mar-2022
Source: Transportation science, Mar.-Apr. 2022, v. 56, no. 2, p. 338-357
Abstract: This study examines the pricing strategy of a parking sharing platform that rents the daytime-usage rights of private parking spaces from parking owners and sells them to parking users. In an urban area with both shared parking and curbside parking, a choice equilibrium model is proposed to predict the number of shared parking users under any given pricing strategy of the platform. We analytically analyze how the pricing strategy of the platform (price charged on users and rent paid to parking owners or sharers) would affect the parking choice equilibrium and several system efficiency metrics. It is shown that the platform is profitable when some parking owners have a relatively small inconvenience cost from sharing their spaces, but its profit is always negative at minimum social cost. Numerical studies are conducted to illustrate the analytical results and provide further understanding.
Keywords: Parking choice equilibrium
Revenue maximization
Shared parking
Social cost minimization
Two-sided market
Publisher: Institute for Operations Research and the Management Sciences
Journal: Transportation science 
ISSN: 0041-1655
DOI: 10.1287/trsc.2021.1103
Rights: © 2022 INFORMS
The following publication Liu, W., Zhang, F., Wang, X., Shao, C., & Yang, H. (2022). Unlock the Sharing Economy: The Case of the Parking Sector for Recurrent Commuting Trips. Transportation Science, 56(2), 338-357 is available at https://dx.doi.org/10.1287/trsc.2021.1103.
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