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Long-term disaster recovery processes are poorly understood, yet there is a growing imperative to improve knowledge of their complexity and timeframes to inform policy and post-disaster decision-making (Reiss 2012; Cutter et al. 2006; Chang 2010; Rossetto et al. 2014; Smith & Birkland 2012). The recovery process can last decades, yet most studies are of limited duration or represent single points in time across the disaster recovery continuum. Empirical studies of recovery over long timescales are needed in order to better understand how disaster recovery processes unfold over a period of years and how recovery outcomes differ in various environments (Berke & Glavovic 2012; Reiss 2012; Smith & Birkland 2012).! Such longitudinal studies may be prospective or retrospective, yet few follow a retrospective approach to gather data of historical cases (e.g. Johnson, 1999; Rubin, 1985). Concerns with the reliability of participant recall create challenges for research (Wolfe & Jackson 1987). Creative methodologies are required to facilitate the gathering of reliable retrospective data (Berney & Blane 2003).

Tags: SECED 2015  
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