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.

Highlights

  • With the Safety Ensuring Lives Future Deployment and Research in VehicleEvolution (SELF DRIVE) Act in the United States, there is a growing interest in autonomous vehicles (AVs)

  • Our study suggests that the government needs to begin developing policies that extend beyond the legal and safety impacts of AV use

  • We provide a case study of one potential use for privately owned AVs in disaster management situations

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Summary

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). 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. Legislation governing the use of AVs tends to be focused on their safety. In the United States, the Safely Ensuring Lives Future Deployment and Research in Vehicle. This law is entirely focused on collisions, licensing, and insurance [1]

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