Binary Building Attribute Imputation, Evaluation, and Comparison Approaches for Hurricane Damage Data Sets
Publication: Journal of Performance of Constructed Facilities
Volume 34, Issue 3
Abstract
Missing building attributes are problematic for development of data-based fragility models. Relative to other disciplines, the application of imputation techniques is limited in the field of engineering. Current imputation techniques to replace missing building attributes lack evaluations of imputation model performance, which ensure accuracy and validity of the imputed data. This paper presents two imputation approaches, along with imputation diagnostic and comparison approaches, for binary building attribute data with missing observations. Predictive mean matching (PMM) and multiple imputation (MI) are used to impute foundation type and number of stories attributes. The diagnostic approach, based on the logistic regression goodness-of-fit test, is used to evaluate the imputation model fit. The comparison approach, based on the percentage of correctly imputed observations, is used to evaluate the imputation model performance. A data set of single-family homes damaged by the 2005 Hurricane Katrina is used to demonstrate implementation of the methodology. Based on the comparison approach, PMM models showed 9% and 2% greater accuracy than MI models in imputing foundation type and number of stories, respectively.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request, including data and code that are used to develop the imputation models.
Acknowledgments
The first author gratefully acknowledges funding from the Louisiana Board of Regents Graduate Fellowship in Engineering Grant No. LEQSF(2008-13)GF-01, the Donald W. Clayton Graduate Ph.D. Assistantship in Engineering at Louisiana State University, and the Chevron Engineering Graduate Student Fellowship at Louisiana State University. Hurricane Katrina reconnaissance videos were provided by MCEER.
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Published In
Journal of Performance of Constructed Facilities
Volume 34 • Issue 3 • June 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: Apr 30, 2019
Accepted: Nov 6, 2019
Published online: Mar 27, 2020
Published in print: Jun 1, 2020
Discussion open until: Aug 27, 2020
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