Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices

L Tan, J Guo, S Mohanarajah, K Zhou - Natural Hazards, 2021 - Springer
There has been an unsettling rise in the intensity and frequency of natural disasters due to
climate change and anthropogenic activities. Artificial intelligence (AI) models have shown …

Data-driven techniques in disaster information management

T Li, N Xie, C Zeng, W Zhou, L Zheng, Y Jiang… - ACM Computing …, 2017 - dl.acm.org
Improving disaster management and recovery techniques is one of national priorities given
the huge toll caused by man-made and nature calamities. Data-driven disaster management …

Public perceptions on artificial intelligence driven disaster management: Evidence from Sydney, Melbourne and Brisbane

N Kankanamge, T Yigitcanlar, A Goonetilleke - Telematics and Informatics, 2021 - Elsevier
In recent years, artificial intelligence (AI) is being increasingly utilised in disaster
management activities. The public is engaged with AI in various ways in these activities. For …

Natural disaster management mechanisms for probabilistic earthquake loss

CP Tseng, CW Chen - Natural Hazards, 2012 - Springer
High rates of urbanization, environmental degradation, and industrial development have
affected all nations worldwide, but in disaster-prone areas, the impact is even greater …

[HTML][HTML] Disaster risk reduction and innovations

T Izumi, R Shaw, R Djalante, M Ishiwatari… - Progress in Disaster …, 2019 - Elsevier
Abstract The Sendai Framework for Disaster Risk Reduction encourages investment in
innovation and technology development in disaster risk management. However, needs for …

[HTML][HTML] Application of computational intelligence technologies in emergency management: a literature review

N Chen, W Liu, R Bai, A Chen - Artificial Intelligence Review, 2019 - Springer
Due to the frequently occurring disasters in the world, emergency management is an
attractive research area aiming to stabilize the disasters and reduce the potential damage to …

Disaster resilience through big data: Way to environmental sustainability

MNI Sarker, Y Peng, C Yiran, RC Shouse - International Journal of Disaster …, 2020 - Elsevier
Disaster management is a growing concern and priority throughout the world and
“resilience” is increasingly viewed as a key capacity related to disaster and post-disaster …

The rising role of big data analytics and IoT in disaster management: recent advances, taxonomy and prospects

SA Shah, DZ Seker, S Hameed, D Draheim - IEEE Access, 2019 - ieeexplore.ieee.org
The recent development of big data analytics (BDA) and the Internet of Things (IoT)
technologies create a huge opportunity for both disaster management systems and disaster …

Exploring the role of deep neural networks for post-disaster decision support

N Chaudhuri, I Bose - Decision Support Systems, 2020 - Elsevier
Disaster management operations are information intensive activities due to high uncertainty
and complex information needs. Emergency response planners need to effectively plan …