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Understanding multi-homing and switching by platform drivers

Author(s)
Guo, Xiaotong; Haupt, Andreas; Wang, Hai; Qadri, Rida; Zhao, Jinhua
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Abstract
Freelance 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.
Date issued
2023-09
URI
https://hdl.handle.net/1721.1/156444
Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering; Massachusetts Institute of Technology. Institute for Data, Systems, and Society; Massachusetts Institute of Technology. Department of Urban Studies and Planning
Journal
Transportation Research Part C: Emerging Technologies
Publisher
Elsevier BV
Citation
Guo, 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.
Version: Author's final manuscript

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