Show simple item record

dc.contributor.authorGuo, Xiaotong
dc.contributor.authorHaupt, Andreas
dc.contributor.authorWang, Hai
dc.contributor.authorQadri, Rida
dc.contributor.authorZhao, Jinhua
dc.date.accessioned2024-08-29T14:50:57Z
dc.date.available2024-08-29T14:50:57Z
dc.date.issued2023-09
dc.identifier.urihttps://hdl.handle.net/1721.1/156444
dc.description.abstractFreelance drivers in the shared mobility market frequently switch or work for multiple platforms, affecting driver labor supply. Due to the importance of driver labor supply for the shared mobility market, understanding drivers’ switching and multi-homing behavior is vital to managing service quality on – and effective regulation of – mobility platforms. However, a lack of individual-level data on driver behavior has thus far impeded a deeper understanding. This paper taxonomizes and estimates perceived switching and multi-homing frictions on mobility platforms. Based on a structural model of driver labor supply, we estimate switching and multi-homing costs in a platform duopoly using public and limited high-level survey data. Estimated costs are sizeable, and reductions in multi-homing and switching costs significantly affect platform market shares and driver welfare. Driver labor supply elasticity with respect to platform wage is also discussed considering both multi-homing and switching frictions.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/j.trc.2023.104233en_US
dc.rightsCreative Commons Attribution-Noncommercial-ShareAlikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceAuthoren_US
dc.titleUnderstanding multi-homing and switching by platform driversen_US
dc.typeArticleen_US
dc.identifier.citationGuo, Xiaotong, Haupt, Andreas, Wang, Hai, Qadri, Rida and Zhao, Jinhua. 2023. "Understanding multi-homing and switching by platform drivers." Transportation Research Part C: Emerging Technologies, 154.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planning
dc.relation.journalTransportation Research Part C: Emerging Technologiesen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-08-29T14:47:34Z
dspace.orderedauthorsGuo, X; Haupt, A; Wang, H; Qadri, R; Zhao, Jen_US
dspace.date.submission2024-08-29T14:47:36Z
mit.journal.volume154en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record