Disaster Risk Reduction and Climate Change Adaptation:

An Interdisciplinary Approach

Edited by
February 2023
280 pages
  • ISBN978-3-0365-6686-3 (Hardback)
  • ISBN978-3-0365-6687-0 (PDF)

This book is a reprint of the Special Issue Disaster Risk Reduction and Climate Change Adaptation: An Interdisciplinary Approach that was published in

Environmental & Earth Sciences
Medicine & Pharmacology
Public Health & Healthcare

A multidisciplinary approach that involves multiple sectors and stakeholders is essential for disaster risk reduction and adaptation to climate change. This Special Issue explores how interdisciplinary approaches could resolve a wide range of issues, including risk and damage assessment, behavior change, investment, and evidence-based policy formulation.

  • Hardback
© 2022 by the authors; CC BY-NC-ND license
natural hazard-triggered technological (Natech); risk perception; protective actions; evacuation; household survey; Cilegon; Indonesia; agricultural drought vulnerability; spatial heterogeneity; entropy weight method; contribution model; China; risk assessment; high-temperature disaster; kiwifruit; climatic suitability zoning; hazard; vulnerability; exposure; disaster prevention and mitigation capacity; extreme temperature indices; spatial heterogeneity; abrupt; prediction; disaster risk; Yangtze River Basin; disaster risk; climate change; adaptation; method; digital disaster reduction; climate change; natural disasters; agricultural production; food aid; official development assistance; conflict; poverty; cereal production; humanitarian aid; financing mechanism; flood protection; investment cycle; investment in DRR; Japan; long-term plan; lost decades; Sendai Framework for Disaster Risk Reduction; multi-variate Probit model; Poisson regression model; agricultural productive services; earthquake disaster; earthquake fatalities; rapid estimation; earthquake relief; disaster assessment; earthquake emergency response; numerical simulation; empirical method; Yangbi earthquake; COVID-19; disaster science; evidence-based policymaking; ordinal logistic regression; principal component analysis; compound indicator; single-person households; Japan; indirect death; long-term effects; excess mortality; earthquake fatalities; surveillance system; disaster risk reduction; disaster risk perception; the population at risk; agent-based modeling; coastal areas; community-based adaptation; nature-based solutions; green infrastructure; perception; COVID-19; family; community; Jakarta; Indonesia; disaster preparedness capability; heavy rainstorm; local government; AHP; evaluation index system; n/a