Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management

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...

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Autores principales:	Sheikh Kamran Abid, Noralfishah Sulaiman, Shiau Wei Chan, Umber Nazir, Muhammad Abid, Heesup Han, Antonio Ariza-Montes, Alejandro Vega-Muñoz
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	disaster management artificial intelligence geographic information system Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/b9f99415b9644d268a5914efad0efccb
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id	oai:doaj.org-article:b9f99415b9644d268a5914efad0efccb
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spelling	oai:doaj.org-article:b9f99415b9644d268a5914efad0efccb2021-11-25T19:02:05ZToward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management10.3390/su1322125602071-1050https://doaj.org/article/b9f99415b9644d268a5914efad0efccb2021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12560https://doaj.org/toc/2071-1050Technical 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.Sheikh Kamran AbidNoralfishah SulaimanShiau Wei ChanUmber NazirMuhammad AbidHeesup HanAntonio Ariza-MontesAlejandro Vega-MuñozMDPI AGarticledisaster managementartificial intelligencegeographic information systemEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12560, p 12560 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	disaster management artificial intelligence geographic information system Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	disaster management artificial intelligence geographic information system Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Sheikh Kamran Abid Noralfishah Sulaiman Shiau Wei Chan Umber Nazir Muhammad Abid Heesup Han Antonio Ariza-Montes Alejandro Vega-Muñoz Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management
description	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.
format	article
author	Sheikh Kamran Abid Noralfishah Sulaiman Shiau Wei Chan Umber Nazir Muhammad Abid Heesup Han Antonio Ariza-Montes Alejandro Vega-Muñoz
author_facet	Sheikh Kamran Abid Noralfishah Sulaiman Shiau Wei Chan Umber Nazir Muhammad Abid Heesup Han Antonio Ariza-Montes Alejandro Vega-Muñoz
author_sort	Sheikh Kamran Abid
title	Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management
title_short	Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management
title_full	Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management
title_fullStr	Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management
title_full_unstemmed	Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management
title_sort	toward an integrated disaster management approach: how artificial intelligence can boost disaster management
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b9f99415b9644d268a5914efad0efccb
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Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management

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