Cargando…

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

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 d...

Descripción completa

Detalles Bibliográficos
Autores principales: Lv, Yipeng, Zafari, Zafar, Jiao, Boshen, Chun, Casey, Zhang, Lulu, Wang, Zhaoxin, Muennig, Peter Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663635/
https://www.ncbi.nlm.nih.gov/pubmed/33114374
http://dx.doi.org/10.3390/ijerph17217780
_version_ 1783609672849162240
author Lv, Yipeng
Zafari, Zafar
Jiao, Boshen
Chun, Casey
Zhang, Lulu
Wang, Zhaoxin
Muennig, Peter Alexander
author_facet Lv, Yipeng
Zafari, Zafar
Jiao, Boshen
Chun, Casey
Zhang, Lulu
Wang, Zhaoxin
Muennig, Peter Alexander
author_sort Lv, Yipeng
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7663635
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-76636352020-11-14 Should the Government Be Allowed to Take Control over Your Car as Part of a Disaster Management Plan? Lv, Yipeng Zafari, Zafar Jiao, Boshen Chun, Casey Zhang, Lulu Wang, Zhaoxin Muennig, Peter Alexander Int J Environ Res Public Health Article 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. MDPI 2020-10-24 2020-11 /pmc/articles/PMC7663635/ /pubmed/33114374 http://dx.doi.org/10.3390/ijerph17217780 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lv, Yipeng
Zafari, Zafar
Jiao, Boshen
Chun, Casey
Zhang, Lulu
Wang, Zhaoxin
Muennig, Peter Alexander
Should the Government Be Allowed to Take Control over Your Car as Part of a Disaster Management Plan?
title Should the Government Be Allowed to Take Control over Your Car as Part of a Disaster Management Plan?
title_full Should the Government Be Allowed to Take Control over Your Car as Part of a Disaster Management Plan?
title_fullStr Should the Government Be Allowed to Take Control over Your Car as Part of a Disaster Management Plan?
title_full_unstemmed Should the Government Be Allowed to Take Control over Your Car as Part of a Disaster Management Plan?
title_short Should the Government Be Allowed to Take Control over Your Car as Part of a Disaster Management Plan?
title_sort should the government be allowed to take control over your car as part of a disaster management plan?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663635/
https://www.ncbi.nlm.nih.gov/pubmed/33114374
http://dx.doi.org/10.3390/ijerph17217780
work_keys_str_mv AT lvyipeng shouldthegovernmentbeallowedtotakecontroloveryourcaraspartofadisastermanagementplan
AT zafarizafar shouldthegovernmentbeallowedtotakecontroloveryourcaraspartofadisastermanagementplan
AT jiaoboshen shouldthegovernmentbeallowedtotakecontroloveryourcaraspartofadisastermanagementplan
AT chuncasey shouldthegovernmentbeallowedtotakecontroloveryourcaraspartofadisastermanagementplan
AT zhanglulu shouldthegovernmentbeallowedtotakecontroloveryourcaraspartofadisastermanagementplan
AT wangzhaoxin shouldthegovernmentbeallowedtotakecontroloveryourcaraspartofadisastermanagementplan
AT muennigpeteralexander shouldthegovernmentbeallowedtotakecontroloveryourcaraspartofadisastermanagementplan