通过规划加强灾难房屋的恢复:资源分配的遗传算法方法
1Institute for Coastal Adaptation and Resilience, Old Dominion University, Norfolk, Virginia. ORCID: https://orcid.org/0000-0002-6888-5314.
Journal of emergency management (Weston, Mass.)
|September 5, 2025
概括
这项研究使用遗传算法 (GA) 优化灾难性住房恢复 (DHR) 资源分配. 总体管理驱动的规划增强了社区的性和自主性,改善了长期的恢复结果.
科学领域:
- 专注于气候变化适应和应对灾害的环境科学和城市规划.
背景情况:
- 气候变化加剧了洪水, 造成脆弱社区的流离失所和经济不稳定.
- 有效的灾难房屋恢复 (DHR) 是至关重要的,特别是在资源有限的地区.
- 优化DHR的资源配置对于社区的长期性至关重要.
研究的目的:
- 通过使用遗传算法 (GA) 来改进DRH规划和执行的创新策略.
- 专注于长期恢复小组 (LTRGs) 和社区参与实现可持续恢复的作用.
- 根据多个标准,评估GA在优化DHR资源分配方面的有效性.
主要方法:
- 开发和应用DHR资源分配的GA模型.
- 对优化,LTRG准备和社区自主性的假设进行评估.
- 分析资源分配,平衡成本效益,住房覆盖面和利益相关者的需求.
主要成果:
- 基于GA的规划可以显著改善DHR的资源分配决策.
- 该模型有效应对复杂的资源分配挑战.
- 长期恢复小组 (LTRGs) 的社区自主性和准备性得到加强.
结论:
- 遗传算法为优化复杂的灾难住房恢复流程提供了强大的工具.
- 基于GA的战略增强了社区的性,并促进了有效的长期恢复.
- 这些发现为政策制定者和灾难应对小组提供了有价值的见解,
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