Document Type
Article
Publication Date
6-15-2026
Department
Department of Civil, Environmental, and Geospatial Engineering
Abstract
Coastal communities face escalating threats from hurricanes, necessitating a shift from descriptive risk assessment to prescriptive, optimized portfolio planning to enhance resilience. This study introduces an integrated decision-support framework that couples high-fidelity, multi-hazard socio-physical system modeling with a multi-objective optimization model. The framework quantifies the cascading impacts of hurricane-induced wind, storm surge, and waves on a community’s interdependent buildings, transportation network, and detailed distribution-level electric power network (EPN), along with the resulting population dislocation and long-term recovery. It then identifies Pareto-optimal portfolios of mitigation strategies by simultaneously minimizing three conflicting objectives—economic loss, population dislocation, and recovery time—under various budget constraints. The framework is applied to a case study of Galveston Island, Texas, under a representative 100-year hurricane scenario. Results demonstrate that the framework can reveal the inherent trade-offs between protecting property value versus minimizing social disruption and identify retrofitting strategies associated with them. A post-processing analysis using a Computable General Equilibrium (CGE) model and social equity metrics further reveals that while optimized mitigation provides system-wide economic co-benefits, improvements in social equity are not guaranteed and require explicit consideration. By translating complex simulation outputs into a portfolio of actionable, resource-efficient strategies, this work provides a powerful tool for stakeholders to make informed, priority-driven investments to enhance coastal community resilience.
Publication Title
International Journal of Disaster Risk Reduction
Recommended Citation
Amini, K.,
Palit, T.,
Beck, A.,
Patil, J.,
Lu, T.,
Gupta, H.,
Darestani, Y.,
&
et. al
(2026).
Integrated decision-support framework for enhancing coastal community resilience against hurricane-induced hazards.
International Journal of Disaster Risk Reduction,
140.
http://doi.org/10.1016/j.ijdrr.2026.106136
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/2485
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Version
Publisher's PDF
Publisher's Statement
© 2026 The Authors. Published by Elsevier Ltd. Publisher’s version of record: https://doi.org/10.1016/j.ijdrr.2026.106136