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  • Format: ePub

Strengthening Disaster Risk Governance to Manage Disaster Risk presents the second principle from the UNISDR Sendai Framework for Disaster Risk Reduction, 2015-2030. The framework includes discussion of risk and resilience from both a theoretical and governance perspective in light of the ideas that are shaping our common future and presents innovative tools and best practices in reducing risk and building resilience. Combining the applications of social, financial, technological, design, engineering and nature-based approaches, the volume addresses rising global priorities and focuses on…mehr

Produktbeschreibung
Strengthening Disaster Risk Governance to Manage Disaster Risk presents the second principle from the UNISDR Sendai Framework for Disaster Risk Reduction, 2015-2030. The framework includes discussion of risk and resilience from both a theoretical and governance perspective in light of the ideas that are shaping our common future and presents innovative tools and best practices in reducing risk and building resilience. Combining the applications of social, financial, technological, design, engineering and nature-based approaches, the volume addresses rising global priorities and focuses on strengthening the global understanding of risk governance practices, initiatives and trends.

Focusing on disaster risk governance at the national, regional, and global levels, it presents both historic and contemporary issues, asking researchers and governments how they can use technological advances, risk and resilience metrics and modeling, business continuity practices, and past experiences to understand the disaster recovery process and manage risk.

  • Follows the global frameworks for disaster risk reduction and sustainability, specifically the UNISDR Sendai Framework for DRR, 2015-2030
  • Addresses lessons learned and future paths in disaster risk governance models
  • Integrates public and private interests in risk governance
  • Presents methodologies dealing with risk uncertainty, ambiguity and complexity

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