Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 19, issue 6
Articles | Volume 19, issue 6
https://doi.org/10.5194/nhess-19-1151-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-1151-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

Viewed

Total article views: 4,370 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,258 1,009 103 4,370 66 60
  • HTML: 3,258
  • PDF: 1,009
  • XML: 103
  • Total: 4,370
  • BibTeX: 66
  • EndNote: 60
Views and downloads (calculated since 16 Aug 2018)
Cumulative views and downloads (calculated since 16 Aug 2018)

Viewed (geographical distribution)

Total article views: 4,370 (including HTML, PDF, and XML) Thereof 3,955 with geography defined and 415 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint