An Integrated Housing Design and Logistics Operations Modeling and Analysis Framework for Hurricane Relief

该抗灾研究补助金项目通过创造灾后恢复住房设计和后勤规划方面的新知识，有助于促进国民健康、繁荣和福利。重大飓风事件发生后的一个关键需求是为受灾人口提供住房解决方案。该项目的主要目标是为灾害住房设计和后勤规划创建一个综合建模和分析框架，包括评估和提高其在弹性飓风响应和恢复中的有效性。特别是，该框架将整合灾害住房的物理弹性，灾害住房供应链和物流网络的系统弹性，以及各种飓风情景下稳健和适应性物流运营的业务弹性。将开发一系列灾害住房后勤决策支持工具和新型灾害住房建筑设计，以减少苦难，降低制造和物流成本，并促进灾害恢复研究人员与应急管理机构之间的长期合作。一个关键目标是支持恢复住房方案，使人们在尽可能快的时间内回到他们的家园社区。该项目汇集了多个学科的研究成果，包括灾害住房建筑设计、自然灾害和脆弱性分析、救灾物流网络设计和运营规划。新的随机优化模型和解决方案方法将改进灾害住房物流网络的设计和操作政策，利用天气预报数据和飓风灾害的脆弱性分析。这些工具提供了一种定量方法，用于分析如何部署各种灾害住房解决方案，以实现更低的社会和物流成本，并通过对其物流和社会经济属性的各种成本/效益权衡分析，为新的灾害住房建筑设计迭代提供信息。整个项目成果将改善救灾的住房部分。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This Disaster Resilience Research Grants (DRRG) project contributes to the advancement of national health, prosperity and welfare by creating new knowledge on disaster recovery housing design and logistics planning. A critical need following a major hurricane event is to provide housing solutions for the affected population. The main objective of this project is to create an integrated modeling and analysis framework for disaster housing designs and logistics planning, including evaluating and enhancing their effectiveness in resilient hurricane response and recovery. In particular, this framework will integrate the physical resilience of disaster housing, the system resilience of the disaster housing supply chain and logistics network, and the operational resilience of robust and adaptive logistics operations under various hurricane scenarios. A host of disaster housing logistics decision support tools and novel disaster housing architectural designs will be developed to reduce suffering, lower manufacturing and logistics costs, and foster a long-term collaboration between disaster resilience researchers and emergency management agencies. A key goal is to support recovery housing scenarios that get people back into their home neighborhoods in the quickest possible timeframe.This project draws on converging research efforts from multiple disciplines including architectural design for disaster housing, natural hazard and fragility analysis, and disaster relief logistics network design and operations planning. Novel stochastic optimization models and solution methodologies will improve disaster housing logistics network design and operational policy, leveraging weather forecast data and fragility analysis for hurricane hazards. These tools offer a quantitative approach for analyzing how various disaster housing solutions can be deployed to achieve lower social and logistics costs and to inform new disaster housing architectural design iterations by various cost/benefit tradeoff analyses of their logistics and socioeconomic attributes. The overall project outcome will improve the housing component of disaster relief.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.