Disruptive technologies as a solution for disaster risk management: A review.

Autor: Munawar HS; School of Built Environment, University of New South Wales, Kensington, Sydney, NSW 2052, Australia. Electronic address: h.munawar@unsw.edu.au., Mojtahedi M; School of Built Environment, University of New South Wales, Kensington, Sydney, NSW 2052, Australia., Hammad AWA; School of Built Environment, University of New South Wales, Kensington, Sydney, NSW 2052, Australia., Kouzani A; School of Engineering, Deakin University, Australia., Mahmud MAP; School of Engineering, Deakin University, Australia.
Jazyk: angličtina
Zdroj: The Science of the total environment [Sci Total Environ] 2022 Feb 01; Vol. 806 (Pt 3), pp. 151351. Date of Electronic Publication: 2021 Nov 02.
DOI: 10.1016/j.scitotenv.2021.151351
Abstrakt: Integrating disruptive technologies within smart cities improves the infrastructure needed to potentially deal with disasters. This paper provides a perspective review of disruptive technologies such as the Internet of Things (IoT), image processing, artificial intelligence (AI), big data and smartphone applications which are in use and have been proposed for future improvements in disaster management of urban regions. The key focus of this paper is exploring ways in which smart cities could be established to harness the potential of disruptive technologies and improve post-disaster management. The key questions explored are a) what are the gaps or barriers to the utilization of disruptive technologies in the area of disaster management and b) How can the existing methods of disaster management be improved through the application of disruptive technologies. To respond to these questions, a novel framework based on integrated approaches based on big data analytics and AI is proposed for developing disaster management solutions using disruptive technologies.
Competing Interests: Declaration of competing interest The authors declare no known competing financial interest or personal relationship that could influence the work presented in this article.
(Copyright © 2021 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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