Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 22, issue 3
Articles | Volume 22, issue 3
https://doi.org/10.5194/nhess-22-1055-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-1055-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 3
Research article
 | 
30 Mar 2022
Research article |  | 30 Mar 2022

Regional county-level housing inventory predictions and the effects on hurricane risk

Caroline J. Williams, Rachel A. Davidson, Linda K. Nozick, Joseph E. Trainor, Meghan Millea, and Jamie L. Kruse

Viewed

Total article views: 1,981 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,348 566 67 1,981 215 56 48
  • HTML: 1,348
  • PDF: 566
  • XML: 67
  • Total: 1,981
  • Supplement: 215
  • BibTeX: 56
  • EndNote: 48
Views and downloads (calculated since 10 Nov 2021)
Cumulative views and downloads (calculated since 10 Nov 2021)

Viewed (geographical distribution)

Total article views: 1,981 (including HTML, PDF, and XML) Thereof 1,900 with geography defined and 81 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Apr 2025
Download
Short summary
A neural network model based on publicly available data was developed to forecast the number of housing units for each of 1000 counties in the southeastern United States in each of the next 20 years. The estimated number of housing units is almost always (97 % of the time) less than 1 percentage point different than the observed number, which are predictive errors acceptable for most practical purposes. The housing unit projections can help quantify changes in future expected hurricane impacts.
Read more
Share
Altmetrics
Final-revised paper
Preprint