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Cited by 267Disaster Management and ResilienceEnergy and Environmental SystemsSafety and Risk Management

Toward an integrated disaster management approach: how artificial intelligence can boost disaster management

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Abid, Sheikh Kamran, Sulaiman, Noralfishah, Chan, Shiau Wei, Nazir, Umber, Abid, Muhammad, Han, Heesup, Ariza-Montes, Antonio, Vega-Muñoz, Alejandro·2021·Sustainability
DOI 10.3390/su132212560
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Abstract

Technical and methodological enhancement of hazards and disaster research is identified as a critical question in disaster management. Artificial intelligence (AI) applications, such as tracking and mapping, geospatial analysis, remote sensing techniques, robotics, drone technology, machine learning, telecom and network services, accident and hot spot analysis, smart city urban planning, transportation planning, and environmental impact analysis, are the technological components of societal change, having significant implications for research on the societal response to hazards and disasters. Social science researchers have used various technologies and methods to examine hazards and disasters through disciplinary, multidisciplinary, and interdisciplinary lenses. They have employed both quantitative and qualitative data collection and data analysis strategies. This study provides an overview of the current applications of AI in disaster management during its four phases and how AI is vital to all disaster management phases, leading to a faster, more concise, equipped response. Integrating a geographic information system (GIS) and remote sensing (RS) into disaster management enables higher planning, analysis, situational awareness, and recovery operations. GIS and RS are commonly recognized as key support tools for disaster management. Visualization capabilities, satellite images, and artificial intelligence analysis can assist governments in making quick decisions after natural disasters.

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Authors
Abid, S. K., Sulaiman, N., Chan, S. W., Nazir, U., Abid, M., Han, H., Ariza-Montes, A., & Vega-Muñoz, A.
Affiliations
  • Tun Hussein Onn University of Malaysia (MY)
  • Harbin Engineering University (CN)
  • Sejong University (KR)
  • Social Matters Research Group, Universidad Loyola Andalucía, 414004 Córdoba, Spain
  • Universidad Autónoma de Chile (CL)
Corresponding author
  • Abid, Sheikh Kamran
  • Han, Heesup
ORCID
Venue
Sustainability
Publisher
MDPI AG
Published
2021-11-13
Volume
13
Issue
22
Pages
12560
ISSN
2071-1050 (ISSN-L)
DOI
10.3390/su132212560
OpenAlex
W3212132479
Cited by
267
References
1
Citations by year
2026: 50 · 2025: 124 · 2024: 51 · 2023: 27 · 2022: 13 · 2021: 2
FWCI
29.56
Type
journal article
Language
en
Open access
Licence
Locations
  • Sustainability (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Sociology and Political Science › Disaster Management and Resilience
  • Social Sciences › Transportation › Energy and Environmental Systems
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Safety and Risk Management
Keywords
artificial intelligence, disaster management, geographic information systems, remote sensing, situational awareness, disaster response, disaster recovery, machine learning, unmanned aerial vehicles, hot spot analysis, smart cities, disaster decision-making

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