Name: Hyogo Framework for Action and Urban Disaster Resilience (Community, Environment and Disaster Risk Management, 16) (en Inglés)
Price: 844.48 PEN
Availability: InStock
Author: Yuki Matsuoka
ISBN: 9781783509270

portada Hyogo Framework for Action and Urban Disaster Resilience (Community, Environment and Disaster Risk Management, 16) (en Inglés)

Formato

Libro Físico

Editorial

Emerald Publishing Limited

Autor

Yuki Matsuoka

Idioma

Inglés

N° páginas

328

Encuadernación

Tapa Dura

ISBN13

9781783509270

Hyogo Framework for Action and Urban Disaster Resilience (Community, Environment and Disaster Risk Management, 16) (en Inglés)

Yuki Matsuoka (Autor) · Emerald Publishing Limited · Tapa Dura

Libro Físico

S/ 844,48

S/ 1.688,97

Ahorras: S/ 844,48

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Hyogo Framework for Action and Urban Disaster Resilience (Community, Environment and Disaster Risk Management, 16) (en Inglés)"

We live in a world which continues to experience dramatic suffering and loss of life due to natural hazard. The disaster paradigm has accelerated efforts towards resilience building, particularly since the adoption of the Hyogo Framework for Action (HFA), a ten year plan to build the resilience of nations and communities to disasters Urban areas present complexity and interconnectivity of various elements, and this needs to be considered when building the resilience of such areas to disasters. To address urban risks, local level disaster risk reduction (DRR) is of fundamental importance, not only because it is closer to the citizens, but because it is the repository of regulatory governance functions and local knowledge The need to scale up the capacity of DRR at the local government level to build urban resilience is a key incentive for this study. With particular reference to the example of Makati City in the Philippines, this book analyses a local DRR approach with reference to the HFA, applies a micro-level resilience assessment and discusses an effective model for enhancing local DRR capacity in the future.