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Should the Government Be Allowed to Take Control over Your Car as Part of a Disaster Management Plan?

Author

Listed:
  • Yipeng Lv

    (The Department of Social Medicine and Health Service Management, School of Medicine, Shanghai Jiaotong University, Shanghai 200025, China
    Global Research Analytics for Population Health (GRAPH), Mailman School of Public Health, Columbia University, New York, NY 10027, USA)

  • Zafar Zafari

    (Global Research Analytics for Population Health (GRAPH), Mailman School of Public Health, Columbia University, New York, NY 10027, USA
    Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, MD 21250, USA)

  • Boshen Jiao

    (Global Research Analytics for Population Health (GRAPH), Mailman School of Public Health, Columbia University, New York, NY 10027, USA
    The Comparative Health Outcomes, Policy, and Economics (CHOICE), School of Pharmacy, University of Washington, Seattle, WA 98195, USA)

  • Casey Chun

    (Global Research Analytics for Population Health (GRAPH), Mailman School of Public Health, Columbia University, New York, NY 10027, USA)

  • Lulu Zhang

    (The Department of Military Health Service Management, College of Military Health Service Management, Second Military Medical University, Shanghai 200433, China)

  • Zhaoxin Wang

    (The Department of Social Medicine and Health Service Management, School of Medicine, Shanghai Jiaotong University, Shanghai 200025, China)

  • Peter Alexander Muennig

    (Global Research Analytics for Population Health (GRAPH), Mailman School of Public Health, Columbia University, New York, NY 10027, USA)

Abstract

Introduction: With the Safety Ensuring Lives Future Deployment and Research in Vehicle Evolution (SELF DRIVE) Act in the United States, there is a growing interest in autonomous vehicles (AVs). One avenue of innovation would be to use them to mobilize and coordinate response efforts during natural disasters. This study uses an earthquake response in an urban, developed setting as a hypothetical example case study. In this hypothetical scenario, private AVs would be mobilized to help rescue victims from collapsed structures. Methods: A Markov model compared an intervention arm with AVs to a status quo arm using a hypothetical cohort of American earthquake victims. The three possible health states were trapped but alive, rescued and alive, and dead. The cycle length of the Markov model was 6 h. Results: The cost of deploying AVs was $90,139 relative to $87,869 in status quo arm. Using AVs produced an incremental cost of $2269 (95% credible interval (CI) = $−12,985–$8959). Victims have 7.33 quality-adjusted life years (QALYs) in the intervention arm compared to 7.20 QALYs in the status quo arm, resulting in an incremental gain of 0.13 (95% CI = −0.73–2.19) QALYs. The incremental cost-effectiveness ratio (ICER) was $16,960/QALY gained (95% CI = cost-saving–$69,065/QALY). Discussion: The mobilization of private AVs in the setting of an earthquake has the potential to save money and reduce the loss of life. AVs may advance emergency management competencies.

Suggested Citation

  • Yipeng Lv & Zafar Zafari & Boshen Jiao & Casey Chun & Lulu Zhang & Zhaoxin Wang & Peter Alexander Muennig, 2020. "Should the Government Be Allowed to Take Control over Your Car as Part of a Disaster Management Plan?," IJERPH, MDPI, vol. 17(21), pages 1-10, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:7780-:d:434181
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    Cited by:

    1. Hongfeng Zhang & Chengyun Sun & Lu Huang & Hongyun Si, 2021. "Does Government Intervention Ensure Food Safety? Evidence from China," IJERPH, MDPI, vol. 18(7), pages 1-22, March.

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