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The sharing economy and the job market: the case of ride-hailing drivers in Chile

Author

Listed:
  • Andrés Fielbaum

    (TU Delft)

  • Alejandro Tirachini

    (Universidad de Chile
    Instituto Sistemas Complejos de Ingeniería)

Abstract

Ride-hailing (ridesourcing) companies such as Uber, Lyft, and Didi Chuxing have been a disruptive force in the urban mobility landscape around the world during the past decade. In this paper, we analyse the working conditions, earnings, and job satisfaction of ride-hailing drivers. We begin by discussing the regulatory, labour, financial, and urban mobility effects of ride-hailing companies. Then, we present the results of a self-administered survey to ride-hailing drivers in Chile, which is complemented with the use of online tools for the estimation of driving earnings. Our findings show that the flexibility to choose work times is the most appreciated attribute of this job, even though most drivers follow a somewhat fixed routine each week. By contrast, the level of transparency with which ride-hailing apps determine driver pay is the attribute with the lowest satisfaction score. A large number of respondents drive for long daily and weekly periods, which is a health and safety hazard. Current drivers are not concerned about the future deployment of driverless vehicles for on-demand mobility services. Ordered probit models for job satisfaction show that ride-hailing was better evaluated by drivers who use it as a complement to another part-time job, by those who earn more money per week, and by those who have not experienced undesirable situations while working, such as harassment or traffic crashes.

Suggested Citation

  • Andrés Fielbaum & Alejandro Tirachini, 2021. "The sharing economy and the job market: the case of ride-hailing drivers in Chile," Transportation, Springer, vol. 48(5), pages 2235-2261, October.
    • Handle: RePEc:kap:transp:v:48:y:2021:i:5:d:10.1007_s11116-020-10127-7
    DOI: 10.1007/s11116-020-10127-7
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    References listed on IDEAS

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    Cited by:

    1. Shi, Junxin & Li, Xiangyong & Aneja, Y.P. & Li, Xiaonan, 2023. "Ride-matching for the ride-hailing platform with heterogeneous drivers," Transport Policy, Elsevier, vol. 136(C), pages 169-192.
    2. Francisca GUTIÉRREZ CROCCO & Maurizio ATZENI, 2022. "The effects of the pandemic on gig economy couriers in Argentina and Chile: Precarity, algorithmic control and mobilization," International Labour Review, International Labour Organization, vol. 161(3), pages 441-461, September.
    3. Li, Xue & Tan, Alexander Jun Hao & Wang, Xueqin & Yuen, Kum Fai, 2023. "Investigating gig workers’ commitment to crowdsourced logistics platforms: Fair employment and social exchange perspectives," Technology in Society, Elsevier, vol. 74(C).
    4. Di, Yining & Xu, Meng & Zhu, Zheng & Yang, Hai & Chen, Xiqun, 2022. "Analysis of ride-sourcing drivers' working Pattern(s) via spatiotemporal work slices: A case study in Hangzhou," Transport Policy, Elsevier, vol. 125(C), pages 336-351.
    5. Do Giang Nguyen & Minh-Tri Ha, 2022. "What Makes Users Continue to Want to Use the Digital Platform? Evidence From the Ride-Hailing Service Platform in Vietnam," SAGE Open, , vol. 12(1), pages 21582440211, January.

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