Publication Type
Journal Article
Version
acceptedVersion
Publication Date
9-2023
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.
Keywords
Data availability, Labor supply, Mobility platform, Multi-homing, Network company, Platform drivers, Shared mobility, Switching, Transportation network, Transportation network company
Discipline
Databases and Information Systems | Operations Research, Systems Engineering and Industrial Engineering | Transportation
Research Areas
Intelligent Systems and Optimization
Publication
Transportation Research Part C: Emerging Technologies
Volume
154
First Page
1
Last Page
20
ISSN
0968-090X
Identifier
10.1016/j.trc.2023.104233
Publisher
Elsevier
Citation
GUO, Xiaotong; HAUPT, Andreas; WANG, Hai; QADRI, Rida; and ZHAO, Jinhua.
Understanding multi-homing and switching by platform drivers. (2023). Transportation Research Part C: Emerging Technologies. 154, 1-20.
Available at: https://ink.library.smu.edu.sg/sis_research/8457
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.trc.2023.104233
Included in
Databases and Information Systems Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Transportation Commons