Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support community resilience planning . The goal of NIST ARC is to decrease a community’s burden in developing viable, sound alternatives for stakeholder consideration and to provide useful starting points for further, more detailed analysis.
Research areas include, but are not limited to: Incorporate resilience research [e.g., 2, 3] into extensions of the mathematical programming model underlying NIST ARC so as to capture more systems and factors affecting resilience, and to incorporate other considerations such as uncertainty and economic valuation. Development of infrastructure system metrics to aid in the prioritization of investments. See https://www.nist.gov/services-resources/software/nist-arc-nist-alternatives-resilient-communities-tool.
1. Harrison K., Farahmandfar Z., Faiz, T. and J. Loerzel. 2022. "Integration of housing and social vulnerability into an optimization model for community resilience planning", Lifelines 2021-22 Conference, University of California, Los Angeles, Jan. 31 – Feb. 11, 2022.
2. van de Lindt, John, Walter Gillis Peacock, Judith Mitrani-Reiser, et al. (2020) Community Resilience-Focused Technical Investigation of the 2016 Lumberton, North Carolina, Flood: An Interdisciplinary Approach, Natural Hazards Review. https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29NH.1527-6996.0000387
3. Main, J. , Dillard, M. , Kuligowski, E. , Davis, B. , Dukes, J. , Harrison, K. , Helgeson, J. , Johnson, K. , Levitan, M. , Mitrani-Reiser, J. , Weaver, S. , Yeo, D. , , L. , Cline, J. and Kirsch, T. (2021), Aprendiendo de los impactos del huracán María en Puerto Rico: Un informe de progreso, Special Publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.SP.1262es
Buildings; Infrastructure systems; Social systems; Community resilience; Decision making; Systems modeling; Engineering; Operations research; mathematical programming; optimization; systems analysis; risk analysis; statistics; hazards and disaster research; Decision support