Articles | Volume 22, issue 3
Nat. Hazards Earth Syst. Sci., 22, 1055–1072, 2022
https://doi.org/10.5194/nhess-22-1055-2022
Nat. Hazards Earth Syst. Sci., 22, 1055–1072, 2022
https://doi.org/10.5194/nhess-22-1055-2022
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 et al.

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Regional county-level housing inventory predictions and the effects on hurricane risk using long-short term memory (LSTM) methods and applied to the southeastern United States (US) C. J. Williams and R. A. Davidson https://doi.org/10.17603/ds2-vd28-pe79

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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.
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