Applications of artificial intelligence for disaster management

Natural hazards have the potential to cause catastrophic damage and significant socioeconomic loss. The actual damage and loss observed in the recent decades has shown an increasing trend. As a result, disaster managers need to take a growing responsibility to proactively protect their communities b...

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Vydáno v:Natural hazards (Dordrecht) Ročník 103; číslo 3; s. 2631 - 2689
Hlavní autoři: Sun, Wenjuan, Bocchini, Paolo, Davison, Brian D.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Dordrecht Springer Netherlands 01.09.2020
Springer Nature B.V
Témata:
Artificial intelligence
Civil Engineering
Damage
Disaster management
Disasters
Earth and Environmental Science
Earth Sciences
Emergency preparedness
Environmental Management
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Mitigation
Natural Hazards
Review Article
Socioeconomic factors
Artificial intelligence
Disaster management
Disaster resilience
ISSN:0921-030X, 1573-0840
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Shrnutí:Natural hazards have the potential to cause catastrophic damage and significant socioeconomic loss. The actual damage and loss observed in the recent decades has shown an increasing trend. As a result, disaster managers need to take a growing responsibility to proactively protect their communities by developing efficient management strategies. A number of research studies apply artificial intelligence (AI) techniques to process disaster-related data for supporting informed disaster management. This study provides an overview of current applications of AI in disaster management during its four phases: mitigation, preparedness, response, and recovery. It presents example applications of different AI techniques and their benefits for supporting disaster management at different phases, as well as some practical AI-based decision support tools. We find that the majority of AI applications focus on the disaster response phase. This study also identifies challenges to inspire the professional community to advance AI techniques for addressing them in future research.
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ISSN:0921-030X
1573-0840
DOI:10.1007/s11069-020-04124-3