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Who to sacrifice? Modeling the driver’s dilemma

Author

Listed:
  • Yoo, Sunbin
  • Kumagai, Junya
  • Morita, Tamaki
  • Park, Y. Gina
  • Managi, Shunsuke
Abstract
The “driver’s dilemma” presents an ethical conundrum in Highly Automated Vehicles (HAVs), where a decision is made between saving ten pedestrians or the vehicle’s passengers in life-or-death situations. This study delves into the driver’s dilemma by assessing respondents’ beliefs on whether passengers should be sacrificed to save pedestrians, as well as their willingness to purchase such vehicles. We conducted an original survey that collected approximately 7,000 responses, taking into account factors such as ethical identities, technology familiarity, and practical HAV benefits. Using structural equation models, our findings emphasize the driver’s dilemma, with utilitarianism and co-ridership significantly affecting the decision. Altruists generally favor saving pedestrians; however, altruistic individuals who believe that saving family members in vehicles over ten pedestrians is ethical are more inclined to purchase HAVs that prioritize their family members’ safety, even if it means sacrificing pedestrians. Nonetheless, the majority view protecting pedestrians as the ethical choice, and our results indicate that a social consensus on pedestrian safety could encourage the adoption of ethical HAVs. Our study underlines the need to balance individual preferences with socially desirable outcomes in HAV policy.

Suggested Citation

  • Yoo, Sunbin & Kumagai, Junya & Morita, Tamaki & Park, Y. Gina & Managi, Shunsuke, 2023. "Who to sacrifice? Modeling the driver’s dilemma," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
  • Handle: RePEc:eee:transa:v:178:y:2023:i:c:s0965856423002926
    DOI: 10.1016/j.tra.2023.103872
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    References listed on IDEAS

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    Cited by:

    1. Shi, Yunyang & Liu, Jinghan & Liu, Chengqi & Gu, Ziyuan, 2024. "DeepAD: An integrated decision-making framework for intelligent autonomous driving," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).

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    More about this item

    Keywords

    Autonomous vehicle; Self-driving vehicle; Social dilemma; Driver’s dilemma; Moral dilemma;
    All these keywords.

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation

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