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The Governance of Risks in Ridesharing: A Revelatory Case from Singapore

Author

Listed:
  • Yanwei Li

    (Department of Public Administration, Nanjing Normal University, Nanjing 210023, China)

  • Araz Taeihagh

    (Lee Kuan Yew School of Public Policy, National University of Singapore, 469B Bukit Timah Road, Li Ka Shing Building, Singapore 259771, Singapore)

  • Martin De Jong

    (Faculty of Technology, Policy and Management, Delft University of Technology, 2600 GA Delft, The Netherlands
    School of International Relations and Public Affairs, Fudan University, Shanghai 200433, China)

Abstract

Recently we have witnessed the worldwide adoption of many different types of innovative technologies, such as crowdsourcing, ridesharing, open and big data, aiming at delivering public services more efficiently and effectively. Among them, ridesharing has received substantial attention from decision-makers around the world. Because of the multitude of currently understood or potentially unknown risks associated with ridesharing (unemployment, insurance, information privacy, and environmental risk), governments in different countries apply different strategies to address such risks. Some governments prohibit the adoption of ridesharing altogether, while other governments promote it. In this article, we address the question of how risks involved in ridesharing are governed over time. We present an in-depth single case study on Singapore and examine how the Singaporean government has addressed risks in ridesharing over time. The Singaporean government has a strong ambition to become an innovation hub, and many innovative technologies have been adopted and promoted to that end. At the same time, decision-makers in Singapore are reputed for their proactive style of social governance. The example of Singapore can be regarded as a revelatory case study, helping us further to explore governance practices in other countries.

Suggested Citation

  • Yanwei Li & Araz Taeihagh & Martin De Jong, 2018. "The Governance of Risks in Ridesharing: A Revelatory Case from Singapore," Energies, MDPI, vol. 11(5), pages 1-21, May.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1277-:d:146782
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    References listed on IDEAS

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    Cited by:

    1. Yanwei Li & Liang Ma, 2019. "What drives the governance of ridesharing? A fuzzy-set QCA of local regulations in China," Policy Sciences, Springer;Society of Policy Sciences, vol. 52(4), pages 601-624, December.
    2. Aarthi Raghavan & Mehmet Akif Demircioglu & Araz Taeihagh, 2021. "Public Health Innovation through Cloud Adoption: A Comparative Analysis of Drivers and Barriers in Japan, South Korea, and Singapore," IJERPH, MDPI, vol. 18(1), pages 1-30, January.
    3. Araz Taeihagh, 2021. "Governance of artificial intelligence [Application of artificial intelligence for development of intelligent transport system in smart cities]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 137-157.
    4. Shixingyue Hu & Yazao Yang, 2024. "Safety of female ride-hailing passengers: Perception and prevention," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
    5. Nihit Goyal & Michael Howlett & Araz Taeihagh, 2021. "Why and how does the regulation of emerging technologies occur? Explaining the adoption of the EU General Data Protection Regulation using the multiple streams framework," Regulation & Governance, John Wiley & Sons, vol. 15(4), pages 1020-1034, October.
    6. Devyani Pande & Araz Taeihagh, 2021. "The Governance Conundrum of Powered Micromobility Devices: An In-Depth Case Study from Singapore," Sustainability, MDPI, vol. 13(11), pages 1-24, May.
    7. Si-Ying Tan & Araz Taeihagh & Kritika Sha, 2021. "How Transboundary Learning Occurs: Case Study of the ASEAN Smart Cities Network (ASCN)," Sustainability, MDPI, vol. 13(11), pages 1-19, June.
    8. Yanwei Li & Araz Taeihagh & Martin de Jong & Andreas Klinke, 2021. "Toward a Commonly Shared Public Policy Perspective for Analyzing Risk Coping Strategies," Risk Analysis, John Wiley & Sons, vol. 41(3), pages 519-532, March.
    9. Charles David A. Icasiano & Araz Taeihagh, 2021. "Governance of the Risks of Ridesharing in Southeast Asia: An In-Depth Analysis," Sustainability, MDPI, vol. 13(11), pages 1-32, June.
    10. Yuchen Gao & Jingrui Chen, 2019. "The Risk Reduction and Sustainable Development of Shared Transportation: The Chinese Online Car-hailing Policy Evaluation in the Digitalization Era," Sustainability, MDPI, vol. 11(9), pages 1-21, May.
    11. Soltani, Ali & Allan, Andrew & Khalaj, Fahimeh & Pojani, Dorina & Mehdizadeh, Milad, 2021. "Ridesharing in Adelaide: Segmentation of users," Journal of Transport Geography, Elsevier, vol. 92(C).
    12. de Oliveira, Gisliany L.A. & Silva, Ivanovitch & Lima, Luciana & Costa, Daniel G., 2023. "A composite indicator of liveability based on sociodemographic and Uber quality service dimensions: A data-driven approach," Transport Policy, Elsevier, vol. 141(C), pages 97-115.
    13. Tan, Si Ying & Taeihagh, Araz & Tripathi, Abhas, 2021. "Tensions and antagonistic interactions of risks and ethics of using robotics and autonomous systems in long-term care," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    14. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    15. Yanwei Li & Genea Canelles, 2021. "Governing Airbnb in Amsterdam and Singapore: A Comparative Study on Governance Strategies and Styles," SAGE Open, , vol. 11(4), pages 21582440211, October.
    16. Ye Ma & Biying Yu & Meimei Xue, 2018. "Spatial Heterogeneous Characteristics of Ridesharing in Beijing–Tianjin–Hebei Region of China," Energies, MDPI, vol. 11(11), pages 1-21, November.

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