HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

An Incentive Mechanism for Private Parking-Sharing Programs in an Imperfect Information Setting

Abstract : This paper proposes a matching-and-pricing mechanism for a drivers’ demand-reporting problem in parking-sharing programs in which owners share their private parking slots with drivers. We generate a driver-slot matching solution by a centralized assignment procedure according to the demand and supply information reported by drivers and owners, respectively, and determine truth-telling pricing by the Vickrey-Clark-Grove mechanism. We show that under the assumption that drivers do not know with certainty whether other drivers will show up to compete for the parking slots, the mechanism proposed in this paper induces drivers to truthfully report their private information of the travel plans and guarantees three other desirable properties: participation of drivers and slot owners, optimal system efficiency, and balance of the system’s budget. We further extend these results to two dynamic situations. Finally, the results of the numerical experiments based on real-world data demonstrate the performance of the mechanism.
Document type :
Journal articles
Complete list of metadata

Contributor : Frédéric Davesne Connect in order to contact the contributor
Submitted on : Friday, April 15, 2022 - 7:35:15 PM
Last modification on : Saturday, April 16, 2022 - 12:24:55 PM



Pengyu Yan, Xiaoqiang Cai, Feng Chu, Debing Ni, Heng He. An Incentive Mechanism for Private Parking-Sharing Programs in an Imperfect Information Setting. Service Science, Informs, In press, ⟨10.1287/serv.2022.0303⟩. ⟨hal-03643535⟩



Record views