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Conference Paper: User-based rebalancing approach for free-floating bike sharing systems

TitleUser-based rebalancing approach for free-floating bike sharing systems
Authors
Wang, YWang, J
Issue Date2018
Citation
The INFORMS 2018 Annual Meeting, Phoenix, USA, 4-7 November 2018 How to Cite?
AbstractThis work studies the rebalancing problem in FFBS, which aims at reconfiguring the spatial and temporal distribution of bikes so that supply matches demand. We propose the first model specially designed for FFBS. Based on our original Radiant Service Theory (RST), the model describes the real-time status of the system. Also, we develop the first user-based rebalancing approach for FFBS. A dynamic incentive mechanism that encourages users to change parking places to problematic locations is presented. Finally, simulation results show the effectiveness of the mechanism and suggest it best fits a system with modest bike amount, high unbalance degree, and users sensitive to incentives
DescriptionTuesday Poster Session
Persistent Identifierhttp://hdl.handle.net/10722/275287

 

DC FieldValueLanguage
dc.contributor.authorWang, Y-
dc.contributor.authorWang, J-
dc.date.accessioned2019-09-10T02:39:28Z-
dc.date.available2019-09-10T02:39:28Z-
dc.date.issued2018-
dc.identifier.citationThe INFORMS 2018 Annual Meeting, Phoenix, USA, 4-7 November 2018-
dc.identifier.urihttp://hdl.handle.net/10722/275287-
dc.descriptionTuesday Poster Session-
dc.description.abstractThis work studies the rebalancing problem in FFBS, which aims at reconfiguring the spatial and temporal distribution of bikes so that supply matches demand. We propose the first model specially designed for FFBS. Based on our original Radiant Service Theory (RST), the model describes the real-time status of the system. Also, we develop the first user-based rebalancing approach for FFBS. A dynamic incentive mechanism that encourages users to change parking places to problematic locations is presented. Finally, simulation results show the effectiveness of the mechanism and suggest it best fits a system with modest bike amount, high unbalance degree, and users sensitive to incentives-
dc.languageeng-
dc.relation.ispartofINFORMS Annual Meeting 2018-
dc.titleUser-based rebalancing approach for free-floating bike sharing systems-
dc.typeConference_Paper-
dc.identifier.emailWang, J: jwwang@hku.hk-
dc.identifier.authorityWang, J=rp01888-
dc.identifier.hkuros304842-

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