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<p>The new forms of service provision in ride-hailing raise multiple issues that influence consumer decisions about adopting such services. Empirical data reveal mixed responses: some individuals embrace these services, whereas others remain hesitant during the growth phase. Using a discrete choice experiment, this study examines the types of perceived risks that influence consumers’ and non-consumers’ willingness to pay for service attributes aimed at reducing perceived risks in ride-hailing, one of the largest sectors in the sharing economy. The results indicate that individuals’ utility significantly increases when the service avoids requiring private information, provides a driver-tracking system, mandates commercial driver’s licences for drivers, includes a driver-rating system, offers comprehensive compensation for negative incidents, and guarantees a minimum wage and benefit plan for drivers. This research expands and enriches the theory of perceived risk by introducing perceived fairness risk as a new dimension. We provide theoretical and practical implications to assist platform companies and policymakers.</p>

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Assessing the economic value of reducing perceived risk in ride-hailing: Evidence from US cities

  • 期刊论文

  • 发表日期：

    2025年11月6日

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  • Soo Jeong Hong,
  • Kwangjin Lee

摘要

The new forms of service provision in ride-hailing raise multiple issues that influence consumer decisions about adopting such services. Empirical data reveal mixed responses: some individuals embrace these services, whereas others remain hesitant during the growth phase. Using a discrete choice experiment, this study examines the types of perceived risks that influence consumers’ and non-consumers’ willingness to pay for service attributes aimed at reducing perceived risks in ride-hailing, one of the largest sectors in the sharing economy. The results indicate that individuals’ utility significantly increases when the service avoids requiring private information, provides a driver-tracking system, mandates commercial driver’s licences for drivers, includes a driver-rating system, offers comprehensive compensation for negative incidents, and guarantees a minimum wage and benefit plan for drivers. This research expands and enriches the theory of perceived risk by introducing perceived fairness risk as a new dimension. We provide theoretical and practical implications to assist platform companies and policymakers.