Smote–Lasso Model of Business Recovery over Time: Case Study of the 2011 Tohoku Earthquake
Publication: Natural Hazards Review
Volume 22, Issue 4
Abstract
A methodology is presented to combine the synthetic minority oversampling technique and the least absolute shrinkage and selection operator to analyze survey data and identify business characteristics correlated with recovery within selected time windows. The methodology addresses challenges that arise when data is imbalanced and predictors are collinear. A case study using data from a survey of business recovery conducted one year after the 2011 Tohoku Earthquake is presented to demonstrate the methodology’s application. The survey collected data on 30 predictors describing the physical damage and utility disruptions experienced by the businesses and their sector, size, disaster preparedness, and recovery financing alternatives. The methodology identifies a strong correlation between physical damage and business recovery within 30 days. Industry sector, size, disaster preparedness, and disaster financing become statistically significant when recovery over longer periods is considered.
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Data Availability Statement
Some or all data, models, or code used during the study were provided by a third party. These include all survey data used in this paper. Direct request for these materials may be made to the provider as indicated in the “Acknowledgments.”
Some or all data, models, or code generated or used during the study are available in a repository or online in accordance with funder data retention policies (Costa and Baker 2020).
Acknowledgments
The authors thank Sompo Group (especially Sompo Risk Management, Inc., Sompo Holdings, Inc., and SOMPO Digital Lab, Inc.) for providing the survey data used in this study. Funding for this work was provided by the Stanford Urban Resilience Initiative. We also thank Chenbo Wang for helping translate and interpret the survey results.
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Published In
Natural Hazards Review
Volume 22 • Issue 4 • November 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Oct 7, 2020
Accepted: Mar 16, 2021
Published online: Jul 15, 2021
Published in print: Nov 1, 2021
Discussion open until: Dec 15, 2021
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