Digital twin paradigm for coastal disaster risk reduction and resilience

Shunichi Koshimura; Nobuhito Mori; Naotaka Chikasada; Keiko Udo; Junichi Ninomiya; Yoshihiro Okumura; Erick Mas

doi:10.1016/B978-0-443-18987-6.00024-5

Digital twin paradigm for coastal disaster risk reduction and resilience

Shunichi Koshimura, Nobuhito Mori, Naotaka Chikasada, Keiko Udo, Junichi Ninomiya, Yoshihiro Okumura, Erick Mas

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Citations (Scopus)

Abstract

Coastal digital twin (CDT) is a new research and practice paradigm in coastal science and engineering to enhance disaster resilience. The components of CDT have three functionalities. One is the transformation from “Data” to “Information” by integrating “Sensing” and “Monitoring.” The second is “Modeling” and “Inference” by using available data and information. The third is “Policy Design” to gain implications and decide “Policies” for optimal “Practices” to enhance social resilience. The fusion of these components and the feedback loop in a cyber-physical system is the key to gaining knowledge and insights for optimal solutions in the physical world.

Original language	English
Title of host publication	Probabilistic Tsunami Hazard and Risk Analysis
Subtitle of host publication	Towards Disaster Risk Reduction and Resilience
Publisher	Elsevier
Pages	543-559
Number of pages	17
ISBN (Electronic)	9780443189876
ISBN (Print)	9780443189883
DOIs	https://doi.org/10.1016/B978-0-443-18987-6.00024-5
Publication status	Published - 2024 Jan 1

Keywords

Digital twin
coastal engineering
modeling
monitoring
policy design
sensing
visualization

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10.1016/B978-0-443-18987-6.00024-5

Cite this

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AU - Koshimura, Shunichi

AU - Mori, Nobuhito

AU - Chikasada, Naotaka

AU - Udo, Keiko

AU - Ninomiya, Junichi

AU - Okumura, Yoshihiro

AU - Mas, Erick

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KW - modeling

KW - monitoring

KW - policy design

KW - sensing

KW - visualization

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Digital twin paradigm for coastal disaster risk reduction and resilience

Abstract

Keywords

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