2021
DOI: 10.1111/jfr3.12698
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Exploring neighborhood‐level resilience to flooding: Why the context and scale matter

Abstract: This article explores the role of contextual neighborhood‐level considerations in community resilience planning in coastal urban locations. A comparative case study analysis was conducted in three different locations in the City of Hampton, Virginia, that all share a common challenge of coastal flooding but have distinctly different neighborhood‐level circumstances that shape their flood impacts and resilience building options. The research approach utilizes a co‐production of knowledge and descriptive statist… Show more

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Cited by 5 publications
(1 citation statement)
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“…In addition to the integrated assessment, there are also the development of economically targeted property flood-resilience in flood-risk management (targeted PFR) models, the index-based spatialized urban flood resilience index (S-FRESI) models [ 70 ], and capability maturity models (CMM) for companies [ 117 ]. When using indicator models for evaluation, research has been conducted from a variety of perspectives, including disaster-risk management [ 118 ], community-resilience assessment in specific regions [ 109 , 119 , 120 ] and urban land-ecosystem-resilience evaluation [ 121 , 122 ]. Depending on the topic and perspective, these models can be developed and applied to flood resilience studies in different ways.…”
Section: Systematic Analysismentioning
confidence: 99%
“…In addition to the integrated assessment, there are also the development of economically targeted property flood-resilience in flood-risk management (targeted PFR) models, the index-based spatialized urban flood resilience index (S-FRESI) models [ 70 ], and capability maturity models (CMM) for companies [ 117 ]. When using indicator models for evaluation, research has been conducted from a variety of perspectives, including disaster-risk management [ 118 ], community-resilience assessment in specific regions [ 109 , 119 , 120 ] and urban land-ecosystem-resilience evaluation [ 121 , 122 ]. Depending on the topic and perspective, these models can be developed and applied to flood resilience studies in different ways.…”
Section: Systematic Analysismentioning
confidence: 99%