Articles | Volume 386
https://doi.org/10.5194/piahs-386-189-2024
https://doi.org/10.5194/piahs-386-189-2024
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

Cited articles

Akter, S. and Wamba, S. F.: Big data and disaster management: a systematic review and agenda for future research, Ann. Oper. Res., 283, 939–959, https://doi.org/10.1007/s10479-017-2584-2, 2019. 
Bando, M. and Machida, C.: For sharing disaster information in local government: Through inter-departmental cooperation of disaster prevention and medical affairs, J. Jpn. Soc. Civ. Eng. Ser F6 (Saf. Probl.), 71, I_205–I_212, https://doi.org/10.2208/jscejsp.71.i_205, 2015. 
Hanashima, M., Sato, R., and Usuda, Y.: The Standardized Disaster-Information Products for Disaster Management: Concept and Formulation, J. Disaster Res., 12, 1015–1027, https://doi.org/10.20965/jdr.2017.p1015, 2017. 
Ise, T., Takahashi, T., Sato, R., Sano, H., Isono, T., Hanashima, M., and Usuda, Y.: Consideration on Utilization of Information in Disaster Response Site – Based on Information Support for 2016 Kumamoto Earthquakes, J. Disaster Res., 12, 1028–1038, https://doi.org/10.20965/jdr.2017.p1028, 2017. 
Ise, T., Hanashima, M., and Usuda, Y.: Current status and issues of information sharing in disaster response in Japan: Information linkage by “SIP4D,” J. Disaster Res., 17, 976–984, https://doi.org/10.20965/jdr.2022.p0976, 2022. 
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.