A Simulation-Based Disaster Management Framework to Analyze Housing Recovery: The Case of Hampton Roads, USA

Authors

Rafael Diaz, Virginia Modeling, Analysis, and Simulation Center, Old Dominion UniversityFollow
Joshua Behr, Old Dominion UniversityFollow
Beatriz Acero, Old Dominion UniversityFollow
Bridget D. Giles, Old Dominion UniversityFollow
Juita-Elena Wie Yusuf, Old Dominion UniversityFollow

Document Type

Article

Publication Date

2022

DOI

10.1109/TEM.2022.3222235

Publication Title

IEEE Transactions on Engineering Management

Volume

71

Pages

4587-4601

Abstract

In the aftermath of a catastrophic weather event, housing recovery and reconstruction activities are highly complex. Coordinating housing recovery activities is generally challenging because complex supply chains converge simultaneously in a highly uncertain environment. In this environment, anticipating and quantifying the extent of potential damage and determining the actions that must be taken to rebuild the housing stock may assist regions in allocating resources for reconstruction. This paper presents the development of a comprehensive disaster management framework to assist decision-makers in predicting the impact of projected natural disasters on housing. This framework uses a simulation-based approach to quantify likely regional losses and generate informed scenarios that support the identification of enablers and barriers that may intervene in the reconstruction process considering local governments that moderate the rebuilding pace. We further investigate how adopting the proactive part of the framework leads to a better understanding of the disaster management process by developing a case study in the Hampton Roads Region of the USA. This complex exercise shows the intricacies of disaster preparedness for housing recovery for displaced populations.

Rights

Included with kind permission from the author(s).

© 2022 IEEE.

This is the post-print (authors accepted version) of an article published in IEEE Transactions on Engineering Management, 71, 4587-4601.  https://ieeexplore.ieee.org/document/9996185

Original Publication Citation

Diaz, R., Behr, J. G., Acero, B., Giles, B. D., & Yusuf, J. E. W. (2022). A simulation-based disaster management framework to analyze housing recovery: the case of Hampton Roads, USA. IEEE Transactions on Engineering Management, 1-40. doi: 10.1109/TEM.2022.32222351.

ORCID

0000-0002-8637-5967 (Diaz), 0000-0002-0472-3068 (Behr), 0000-0002-1270-8562 (Acero), 0000-0003-1512-6848 (Giles), 0000-0003-3599-1417 (Yusuf)

Repository Citation

Diaz, Rafael; Behr, Joshua; Acero, Beatriz; Giles, Bridget D.; and Yusuf, Juita-Elena Wie, "A Simulation-Based Disaster Management Framework to Analyze Housing Recovery: The Case of Hampton Roads, USA" (2022). VMASC Publications. 151.
https://digitalcommons.odu.edu/vmasc_pubs/151