Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-2131-2022
https://doi.org/10.5194/nhess-22-2131-2022
Research article
 | 
24 Jun 2022
Research article |  | 24 Jun 2022

Strategic framework for natural disaster risk mitigation using deep learning and cost-benefit analysis

Ji-Myong Kim, Sang-Guk Yum, Hyunsoung Park, and Junseo Bae

Viewed

Total article views: 5,046 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,886 1,069 91 5,046 99 130
  • HTML: 3,886
  • PDF: 1,069
  • XML: 91
  • Total: 5,046
  • BibTeX: 99
  • EndNote: 130
Views and downloads (calculated since 08 Oct 2021)
Cumulative views and downloads (calculated since 08 Oct 2021)

Viewed (geographical distribution)

Total article views: 5,046 (including HTML, PDF, and XML) Thereof 4,805 with geography defined and 241 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 11 Feb 2026
Download
Short summary
Insurance data has been utilized with deep learning techniques to predict natural disaster damage losses in South Korea.
Share
Altmetrics
Final-revised paper
Preprint