Articles | Volume 19, issue 6
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,, 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,, 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,, 2015. 
Brown, E. D. and Williams, B. K.: Resilience and Resource Management, Environ. Manage., 56, 1416–1427,, 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,, 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.
Final-revised paper