Investigating the Impacts of Economic Factors on Recovery to Further Develop Hurricane Resilience Model for Residential Homes
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8, Issue 2
Abstract
Coastal resilience, risk analysis, disaster recovery, and hazard mitigation are all vital concepts to the functioning of coastal regions. This research aimed to adapt the most recent recovery and resilience functions developed for residential homes by considering measurable factors that are known to influence recovery, including available resources and preparedness. The loss function developed for residential homes damaged by hurricanes was adapted to account for multiple hazards. The resilience model developed through this study investigated resiliency of individual residential homes across several communities. The model was validated using the observed damage from Hurricane Sandy in 2012 in the study region. The results of this study provide improved hurricane loss, recovery, and resilience functions for more accurate use with individual residential structures. Thus, this research provides an essential, innovative contribution to the quantification of infrastructure resilience at the residential level.
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Data Availability Statement
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Some data, models, or code generated or used during the study are available in a repository or online in accordance with funder data retention policies: {[NHC Data in GIS Formats, National Hurricane Center and Central Pacific Hurricane Center, National Oceanic and Atmospheric Administration, November 2020 (Online). Available: https://www.nhc.noaa.gov/gis/], [State Coverage Data sets, New York State GIS Program Office (2020), November 2020 (Online). Available: https://gis.ny.gov/gisdata/index.cfm]}.
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Some data, models, or code used during the study were provided by a third party (GOSR Single Family Homeowner Program Data). Direct request for these materials may be made to the provider as indicated in the Acknowledgments.
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Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions (e.g., anonymized data) (GOSR Single Family Homeowner Program Data: this data is anonymized).
Acknowledgments
The authors gratefully acknowledge funding for this work from the Armand Corporation. The authors thank the Governor’s Office of Storm Recovery (GOSR) of New York State for providing the recovery data necessary for this research.
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Published In
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8 • Issue 2 • June 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jun 25, 2021
Accepted: Dec 28, 2021
Published online: Mar 14, 2022
Published in print: Jun 1, 2022
Discussion open until: Aug 14, 2022
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