Measuring Household Resilience in Hazard-Prone Mountain Areas: A Capacity-Based Approach
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Measuring Household Resilience in Hazard‑Prone Mountain Areas: A Capacity‑Based Approach Jing Tan1 · Li Peng2,3 · Shili Guo1 Accepted: 22 August 2020 © Springer Nature B.V. 2020
Abstract Assessment of the disaster resilience index (DRI) is an effective decision support tool for managing natural disasters. This study holds that disaster resilience is a dynamic process accompanied by coping capacity, adaptive capacity, and transformative capacity in different phases; therefore, we develop a three-dimensional capacity-based framework using seven indicators (including 38 subindicators) to map the multigoals for measuring resilience at the household level. Our data were acquired through questionnaire responses by 516 representative rural households in mountainous hazard-prone areas in Chongqing, China. The results reveal that more households are deemed “low resilience” and that geographical spatial differences exist in the DRI across the case regions. Several factors affecting the ability to survive, bounce back, and bounce forward from mountain hazards for rural households were found in China. The framework constructed in this paper offers a new perspective for a holistic understanding of disaster resilience. Keywords Disaster resilience · Rural household · Indicators · Capacity-based approach
1 Introduction Fueled by the increasing occurrences of disasters globally, disaster resilience (DR) has gained much international attention. Incorporating the term “resilience” into the natural disaster realm gives rise to a new perspective on disaster management because this emerging conceptual tool encourages self-reliance and emphasizes the ability to prepare and * Li Peng [email protected] Jing Tan [email protected] Shili Guo [email protected] 1
China Western Economic Research Center, Southwestern University of Finance and Economics, Chengdu 610074, China
2
College of Geography and Resources, Sichuan Normal University, Chengdu 610101, China
3
Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610101, China
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plan for, absorb, and recover from or even more successfully adapt to potentially greater adverse events compared to traditional passive disaster response capabilities (Pfefferbaum et al. 2011; Cutter et al. 2016). One particular interest among the extensive explorations has been the construction of a framework for evaluating the degree of disaster resilience of individuals/households/community. Disaster resilience has become an immediate concern since the World Conference on Disaster Reduction, entitled Hyogo Framework for Action 2005–2015: Building the Resilience of Nations and Communities to Disasters. Subsequently, disaster resilience has been employed to frame discussions ranging from psychology, engineering, anthropology, and sociology to ecology (Norris et al. 2008; Liebenberg & Moore 2018). These studies apply this framework at the individual, household, community, or country
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