Integrating resilience attributes into local disaster management plans in Metro Manila: Strengths, weaknesses, and gaps
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Integrating resilience in ...
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Affiliation
School of Landscape Architecture and Planning, University of ArizonaIssue Date
2022-12Keywords
Content analysisDisaster resilience
Disaster risk reduction
Local disaster risk reduction and management plans
Metro Manila
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Elsevier BVCitation
Ner, N. T., Okyere, S. A., Abunyewah, M., & Kita, M. (2022). Integrating resilience attributes into local disaster management plans in Metro Manila: Strengths, weaknesses, and gaps. Progress in Disaster Science, 16.Journal
Progress in Disaster ScienceRights
© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Integrating resilience attributes into local plans is considered an important step in enhancing disaster risk reduction. However, the extent to which resilience is captured in local disaster management plans remains underexplored. This paper utilizes content analysis to examine the integration of the United Nations Office for Disaster Risk Reduction's (UNDRR) resilience attributes across 11 cities in Metro Manila. Results show strong integration in governance and risk identification while gaps exist in ecosystem protection, city-to-city learning, and disaster victims' participation in recovery planning. The paper recommends introducing metropolitan-level platforms for inter-city learning, turning local authorities' attention towards nature-based solutions, and including disaster victims in the recovery planning process.Note
Open access journalISSN
2590-0617Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1016/j.pdisas.2022.100249
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Except where otherwise noted, this item's license is described as © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).