A resource on the role of technology in disaster recovery. This guidance note explores how digital tools, data, and innovation support recovery planning, assessments, and rebuilding efforts.
The dataset provides comprehensive information on the inundation and run-up heights from the tsunami triggered by the 2024 Noto Peninsula earthquake in Japan, compiled from extensive post-event surveys.
This document provides a detailed review of the current state of knowledge and frontier issues related to building back better in recovery. This paper was developed to contribute to the dialogue at the July 2023 meeting of the G20 DRR Working Group.
Asian Development Bank (ADB)
United Nations Office for Disaster Risk Reduction (UNDRR)
The Guidelines were designed to support ASEAN Member States in establishing their regional and national transport connectivity recovery plans with a focus on resilience and sustainability.
The Joint Communique sets out the agreements reached at the conclusion of the 5th Edition of the World Reconstruction Conference on 23-25 May 2022 in Bali, Indonesia.
World Bank, the
Global Facility for Disaster Reduction and Recovery, the (GFDRR)
United Nations Development Programme (UNDP)
Bureau for Crisis Prevention and Recovery - UNDP
United Nations Office for Disaster Risk Reduction (UNDRR)
This paper presents an automated way to extract the damaged buildings images after earthquakes from social media platforms such as Twitter and thus identify the particular user posts containing such images.
This paper proposes a scientific concept of digital twin-driven systematic construction of intelligent disaster prevention and mitigation for infrastructure (IDPMI), which intends to clarify the potential of digital twin (DT) in disaster management.
In this study, researchers developed an agent-based model to simulate and explore the post-disaster recovery (PDR) process in urban areas of Tacloban, the Philippines devastated by Typhoon Haiyan in 2013. Disaster risk management, and PDR in particular
International Journal of Disaster Risk Reduction (Elsevier)