Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 386
Articles | Volume 386
https://doi.org/10.5194/piahs-386-189-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-386-189-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 386
Post-conference publication
 | 
19 Apr 2024
Post-conference publication |  | 19 Apr 2024

Designing and Developing Dynamic Decision Support Information for Disaster Response

Makoto Hanashima, Hiroaki Sano, and Yuichiro Usuda

Viewed

Total article views: 86 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
61 20 5 86 3 2
  • HTML: 61
  • PDF: 20
  • XML: 5
  • Total: 86
  • BibTeX: 3
  • EndNote: 2
Views and downloads (calculated since 19 Apr 2024)
Cumulative views and downloads (calculated since 19 Apr 2024)

Viewed (geographical distribution)

Total article views: 78 (including HTML, PDF, and XML) Thereof 78 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 19 May 2024
Download
Short summary
Our study aims to provide decision support information for both national and local governments through dynamic disaster risk analysis to enforce disaster resilience. To demonstrate the effectiveness of disaster dynamics analysis, we have developed the "Dynamic Decision Support System for Disaster Response (DDS4D)", which synthesizes natural and social observation data to provide decision support information that fits the decision maker's situational awarenessof natural disaster in real time.
Read more