@article{56eb1c2493ad4d5b99b6a3e56def6deb,
title = "On integrating carsharing and parking sharing services",
abstract = "To improve the appeal of carsharing, we propose an integrated operation scheme of carsharing and parking-sharing services, where a carsharing operator rents parking spaces from private owners to provide convenient parking options to carsharing users. We examine how the operator's profit and social welfare differ under the existing carsharing-only service scheme and a bundled carsharing and parking-sharing service scheme. In particular, multiple groups of decision makers, i.e., suppliers of shared parking spaces, platform operators, carsharing users and private vehicle users, and interactions among them are modeled in the context of an integrated sharing platform. The properties of carsharing user and private-vehicle traveler choice equilibrium are discussed. The profit-maximizing and social-optimal platform pricing and supply strategies are explored. Numerical examples illustrate that the bundled carsharing and parking-sharing service scheme holds the potential to improve the operator's profit and social welfare.",
keywords = "Bundled service, Carsharing, Parking-sharing, Profit maximization, Social optimum",
author = "Sisi Jian and Wei Liu and Xiaolei Wang and Hai Yang and Waller, {S. Travis}",
note = "Funding Information: We would like to thank the anonymous reviewers for their very thoughtful and helpful comments, which have helped improve both the technical quality and exposition of this paper. We also gratefully acknowledge Gershom Tse at the Hong Kong University of Science and Technology for language improvement, which has helped improve the presentation of this paper. This research was partly supported by grants from the Research Grants Council of Hong Kong ( HKUST16206317 ), Australian Research Council ( DE200101793 ), and the UNSW Digital Grid Futures Institute, UNSW, Sydney, under a cross-disciplinary fund scheme. The third author is supported by grants from the National Natural Science Foundation of China under Project No. 72022013 , No. 71974146 and No. 71890973 . Funding Information: We would like to thank the anonymous reviewers for their very thoughtful and helpful comments, which have helped improve both the technical quality and exposition of this paper. We also gratefully acknowledge Gershom Tse at the Hong Kong University of Science and Technology for language improvement, which has helped improve the presentation of this paper. This research was partly supported by grants from the Research Grants Council of Hong Kong (HKUST16206317), Australian Research Council (DE200101793), and the UNSW Digital Grid Futures Institute, UNSW, Sydney, under a cross-disciplinary fund scheme. The third author is supported by grants from the National Natural Science Foundation of China under Project No. 72022013, No. 71974146 and No. 71890973. Publisher Copyright: {\textcopyright} 2020 Elsevier Ltd",
year = "2020",
month = dec,
doi = "10.1016/j.trb.2020.09.013",
language = "English",
volume = "142",
pages = "19--44",
journal = "Transportation Research Part B: Methodological",
issn = "0191-2615",
publisher = "Elsevier Ltd",
}