Articles | Volume 19, issue 6
https://doi.org/10.5194/nhess-19-1151-2019
https://doi.org/10.5194/nhess-19-1151-2019
Research article
 | 
17 Jun 2019
Research article |  | 17 Jun 2019

Towards measuring resilience of flood-prone communities: a conceptual framework

Victor O. Oladokun and Burrell E. Montz

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Cited articles

Adnan, M. M., Sarkheyli, A., Zain, A. M., and Haron, H.: Fuzzy logic for modeling machining process: a review, Artif. Intell. Rev., 43, 345–379, https://doi.org/10.1007/s10462-012-9381-8, 2015. 
Ashraf, M. and Routray, K. K.: Perception and understanding of drought and coping strategies of farming house holds in north-west Balochistan, Int. J. Disast. Risk Re., 5, 49–60, https://doi.org/10.1016/j.ijdrr.2013.05.002, 2013. 
Begg, C., Walker., G., and Kuhlicke, C.: Localism and flood risk management in England:the creation of new inequalities?, Government and Policy, 33, 685–702, https://doi.org/10.1068/c12216, 2015. 
Brown, E. D. and Williams, B. K.: Resilience and Resource Management, Environ. Manage., 56, 1416–1427, https://doi.org/10.1007/s00267-015-0582-1, 2015. 
Cai, H., Lam, N. S., Zou, L., and Qiang, Y.: Modeling the Dynamics of Community Resilience to Coastal Hazards Using a Bayesian Network, A. Am. Assoc. Geogr., 108, 1260–1279, https://doi.org/10.1080/24694452.2017.1421896, 2018. 
Short summary
Community resilience is an important policy and research concept. However, lack of an operational measurement framework exists due to difficulties in systematically integrating socioeconomic and techno-ecological factors. A conceptual and mathematical model was developed and a fuzzy logic equivalent of the model implemented to generate a resilience index for three communities in the US. This model offers a viable approach for measuring community flood resilience despite data limitations.
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