Whole Community Resilience: An Asset-Based Approach to Enhancing Adaptive Capacity Before a Disruption

Robert C. Freitag, Daniel B Abramson, Manish Chalana and Maximilian Dixon

Journal of the American Planning Association, 2014, vol. 80, issue 4, 324-335

Abstract: Problem, research strategy, and findings: Conventional hazard mitigation and pre-disaster recovery planning processes typically begin with hazard scenarios that illustrate probable events and analyze their impacts on the built environment. The processes conclude with responses to the hypothetical disruption that focus on "hardening" buildings or structures or removing them from threatened areas. These approaches understate the importance of natural and social sources of adaptive capacity. Three "proof-of-principle" exercises designed to strengthen the Federal Emergency Management Agency (FEMA)'s Risk MAP (Risk Mapping, Assessment, and Planning) process in Washington State suggest how better to conduct hazard mitigation and recovery planning. Each begins with workshops where stakeholders identify built, natural, and social assets that contribute to human wellbeing (HWB) before introducing earthquake scenarios that affect HWB. Participants then identify assets that could facilitate adaptation to changed circumstances (a "new normal"). Participants discuss how these assets would achieve the goals of comprehensive community planning as well as hazard mitigation and recovery from disaster. Neighborhood-scale social organization emerges as an important priority. Takeaway for practice: Asset-based approaches enable communities to better recover from disaster and adapt to a post-disaster "new normal." By premising planning discussions on a more holistic set of assets, communities can balance physical recovery goals with qualities that help them to adapt to future change. Furthermore, thinking about recovering before an event actually occurs can enlarge the menu of mitigation strategies. Planning for adaptation can also help communities achieve many non-risk-related objectives.

Date: 2014
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Citations: View citations in EconPapers (4)

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DOI: 10.1080/01944363.2014.990480

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