Case Studies
Jul 13, 2021

Accuracy of FEMA-Hazus Single-Family Residential Damage Exposure Data in Houston: Implications for Using or Correcting the Hazus General Building Stock

Publication: Natural Hazards Review
Volume 22, Issue 4

Abstract

Single-family residential building damage exposure data from the FEMA-Hazus general building stock data set (HGBS) are compared with corresponding Harris County (Houston, Texas) assessor data. Countywide, the HGBS generates similar house size estimates, but exaggerates replacement new costs by 86% and depreciated costs by 165%. At the census block level of analysis, where most FEMA-Hazus disaster mitigation modeling takes place, both size and replacement cost data had very high and irregular incidences of inaccuracy across individual blocks with no discernable error patterns. These heterogeneous errors, combined with the fact Houston-based HGBS-assessor inaccuracies are markedly dissimilar from prior observations of HGBS inaccuracy in three upper Midwest study locations, demonstrates the difficulties of using simple correction measures for HGBS data.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

References

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Go to Natural Hazards Review
Natural Hazards Review
Volume 22Issue 4November 2021

History

Received: Oct 22, 2020
Accepted: Feb 15, 2021
Published online: Jul 13, 2021
Published in print: Nov 1, 2021
Discussion open until: Dec 13, 2021

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Authors

Affiliations

Steven D. Shultz, Ph.D. [email protected]
Baright Professor of Real Estate and Land Use Economics, Dept. of Finance, Banking, and Real Estate, College of Business, Univ. of Nebraska at Omaha, 6707 Pine St., Omaha, NE 68132. Email: [email protected]

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Cited by

  • Aggregation bias and its drivers in large‐scale flood loss estimation: A Massachusetts case study, Journal of Flood Risk Management, 10.1111/jfr3.12851, 15, 4, (2022).
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