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Article: Beyond Repositioning: Crowd‐Sourcing and Geo‐Fencing for Shared‐Mobility Systems

TitleBeyond Repositioning: Crowd‐Sourcing and Geo‐Fencing for Shared‐Mobility Systems
Authors
Issue Date2021
PublisherWiley-Blackwell Publishing, Inc.. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1937-5956
Citation
Production and Operations Management, 2021, v. 30 n. 10, p. 3448-3466 How to Cite?
AbstractIn this study, we propose an integrated model of two-sided stochastic matching platforms to understand the design and operations of free-float shared-mobility systems. In particular, we address the joint design of incentives (via “crowd-sourcing”) and spatial capacity allocations (enabled by “geo-fencing”). From the platform's perspective, we formulate stylized models based on strategic double-ended queues. We optimize the design and operations of such systems in a case study using a data set from a leading free-float bicycle-sharing system, and solve it via mixed-integer second-order conic programs (SOCPs). Both stylized results and computational studies generate insights about fundamental trade-offs and triangular relationships among operational costs, capacity utilization rates and service levels. Interestingly, we identify the role of spatial capacity (parking) management to fine-tune the market thickness (transient service availability) in such a two-sided marketplace. We show that a “capacity-dependent approximation” can be very close to optimality, and outperforms policies ignoring capacity management. We also demonstrate that this framework can be operationalized in multiple directions, which generates insights concerning matching efficiency, performance comparison between crowd-sourcing and repositioning, strategic server behaviors and network externalities. Our insights guide the platform and the policy-maker to embrace “crowd-sourcing” and “geo-fencing” technologies for shared-mobility systems.
Persistent Identifierhttp://hdl.handle.net/10722/310082
ISSN
2023 Impact Factor: 4.8
2023 SCImago Journal Rankings: 3.035
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHe, QC-
dc.contributor.authorNie, T-
dc.contributor.authorYang, Y-
dc.contributor.authorShen, ZJ-
dc.date.accessioned2022-01-24T02:23:33Z-
dc.date.available2022-01-24T02:23:33Z-
dc.date.issued2021-
dc.identifier.citationProduction and Operations Management, 2021, v. 30 n. 10, p. 3448-3466-
dc.identifier.issn1059-1478-
dc.identifier.urihttp://hdl.handle.net/10722/310082-
dc.description.abstractIn this study, we propose an integrated model of two-sided stochastic matching platforms to understand the design and operations of free-float shared-mobility systems. In particular, we address the joint design of incentives (via “crowd-sourcing”) and spatial capacity allocations (enabled by “geo-fencing”). From the platform's perspective, we formulate stylized models based on strategic double-ended queues. We optimize the design and operations of such systems in a case study using a data set from a leading free-float bicycle-sharing system, and solve it via mixed-integer second-order conic programs (SOCPs). Both stylized results and computational studies generate insights about fundamental trade-offs and triangular relationships among operational costs, capacity utilization rates and service levels. Interestingly, we identify the role of spatial capacity (parking) management to fine-tune the market thickness (transient service availability) in such a two-sided marketplace. We show that a “capacity-dependent approximation” can be very close to optimality, and outperforms policies ignoring capacity management. We also demonstrate that this framework can be operationalized in multiple directions, which generates insights concerning matching efficiency, performance comparison between crowd-sourcing and repositioning, strategic server behaviors and network externalities. Our insights guide the platform and the policy-maker to embrace “crowd-sourcing” and “geo-fencing” technologies for shared-mobility systems.-
dc.languageeng-
dc.publisherWiley-Blackwell Publishing, Inc.. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1937-5956-
dc.relation.ispartofProduction and Operations Management-
dc.rightsSubmitted (preprint) Version This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Accepted (peer-reviewed) Version This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.-
dc.titleBeyond Repositioning: Crowd‐Sourcing and Geo‐Fencing for Shared‐Mobility Systems-
dc.typeArticle-
dc.identifier.emailShen, ZJ: maxshen@hku.hk-
dc.identifier.authorityShen, ZJ=rp02779-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/poms.13442-
dc.identifier.scopuseid_2-s2.0-85105855224-
dc.identifier.hkuros331474-
dc.identifier.volume30-
dc.identifier.issue10-
dc.identifier.spage3448-
dc.identifier.epage3466-
dc.identifier.isiWOS:000650648300001-
dc.publisher.placeUnited States-

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