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

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

doi:https://doi.org/10.5194/nhess-22-1055-2022

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

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Final revised paper (published on 30 Mar 2022)
Supplement to the final revised paper
Preprint (discussion started on 10 Nov 2021)
Supplement to the preprint

Interactive discussion

Status: closed

RC1:
'Comment on nhess-2021-335', Anonymous Referee #1, 27 Nov 2021

See attached pdf

Citation: https://doi.org/10.5194/nhess-2021-335-RC1
- AC1: 'Reply on RC1', Rachel Davidson, 08 Feb 2022
  
  The comment was uploaded in the form of a supplement: https://nhess.copernicus.org/preprints/nhess-2021-335/nhess-2021-335-AC1-supplement.pdf
  
  Citation: https://doi.org/10.5194/nhess-2021-335-AC1
RC2:
'Comment on nhess-2021-335', Anonymous Referee #2, 12 Dec 2021

Please refer to the attachment.

Citation: https://doi.org/10.5194/nhess-2021-335-RC2
- AC2: 'Reply on RC2', Rachel Davidson, 08 Feb 2022
  
  The comment was uploaded in the form of a supplement: https://nhess.copernicus.org/preprints/nhess-2021-335/nhess-2021-335-AC2-supplement.pdf
  
  Citation: https://doi.org/10.5194/nhess-2021-335-AC2

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload

ED: Publish subject to minor revisions (review by editor) (16 Feb 2022) by Sven Fuchs

AR by Rachel Davidson on behalf of the Authors (18 Feb 2022) Author's response Author's tracked changes Manuscript

ED: Publish as is (24 Feb 2022) by Sven Fuchs

AR by Rachel Davidson on behalf of the Authors (25 Feb 2022)

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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.