Keywords
Abstract
Pre-disaster relocation planning addresses the challenge of moving households out of high-risk flood zones before catastrophic losses occur. Such planning requires attention to uncertainty, household heterogeneity, policy incentives, property value, social attachment, and institutional trust. Agent-based modeling is well suited to this context because it represents individual household decisions and their aggregate consequences under different flood scenarios. This topic also incorporates hyperspectral weak-signal detection as a methodological comparison for early-warning systems: both flood relocation and contamination detection depend on identifying risk before visible failure occurs. In flood planning, early signals may appear through hazard maps, repeated loss records, insurance data, and community vulnerability indicators. The literature supports decision frameworks that connect risk evidence, behavioral modeling, and anticipatory governance.
References
Long, Z., Zia, A., Nelis, J., Rolland, V., & Zhou, J. (2024). A New Hyperspectral Unmixing Benchmark for Weak Signal Meat Contamination Detection. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (pp. 569–576). https://doi.org/10.1109/DICTA63115.2024.00088
Zhou, Y. (2022). Pre-disaster relocation and agent-based model for flood disaster [Doctoral dissertation, University of Wisconsin–Madison].
Hino, M., Field, C. B., & Mach, K. J. (2017). Managed retreat as a response to natural hazard risk. Nature Climate Change, 7, 364–370.
Siders, A. R. (2019). Social justice implications of US managed retreat buyout programs. Climatic Change, 152, 239–257.
Aerts, J. C. J. H. (2018). A review of cost estimates for flood adaptation. Water, 10(11), 1646.
Mach, K. J., Kraan, C. M., Hino, M., et al. (2019). Managed retreat through voluntary buyouts of flood-prone properties. Science Advances, 5(10), eaax8995.
Tesfatsion, L. (2006). Agent-based computational economics. Handbook of Computational Economics, 2, 831–880.
Grimm, V., Revilla, E., Berger, U., et al. (2005). Pattern-oriented modeling of agent-based complex systems. Science, 310(5750), 987–991.
Keshava, N., & Mustard, J. F. (2002). Spectral unmixing. IEEE Signal Processing Magazine, 19(1), 44–57.
Meyer, V., Becker, N., Markantonis, V., et al. (2013). Assessing the costs of natural hazards. Natural Hazards and Earth System Sciences, 13, 1351–1373.