CRISP Type 1/Collaborative Research: A Human-Centered Computational Framework for Urban and Community Design of Resilient Coastal Cities

沿海城市在全球经济中扮演着至关重要的角色。然而，由于气候变化导致的海平面上升，他们正越来越多地面临自然灾害和灾害，如飓风和反复发生的洪水。这些灾害直接影响重要的沿海基础设施，如能源、交通、供水和下水道系统，以及沿海城市的街道、建筑物和房屋，从而对居民的安全和福祉造成不利影响。这项研究的目标是为城市社区的弹性设计创造新的范式，并为沿海城市的设计量身定做，从而为NSF的科学和工程使命做出贡献。这项研究的结果将有助于提高沿海关键基础设施的耐损性。反过来，这将通过实现预见性干预来培养社会经济韧性。开发的技术和模拟模型将通过整合建筑学、城市设计、土地利用规划、土木工程和明确考虑社会经济驱动因素的先进计算方法来重新定义传统的城市设计战略。该项目将与迈阿密和迈阿密海滩两个城市密切合作。除了这些合作作为拟议研究的案例研究外，该研究还将通过为高风险沿海城市中心提供关于实施复原力的明确、具体背景的建议，直接和切实地使它们受益。将通过在迈阿密和迈阿密海滩为决策者和从业人员举办一系列研讨会，开展广泛的宣传工作。将在迈阿密科学博物馆组织一次博览会，以提高人们对弹性的认识，并促进对弹性的研究。该项目将让学生通过直接参与研究以及通过将研究成果纳入现有课程的新的学习单元来参与。因此，拟议的教育计划将有助于培养一支新的劳动力队伍，他们总体上掌握STEM学科的技能，特别是擅长沿海城市的复原力规划。因此，除了为NSF的科学使命服务外，该项目还服务于其教育使命。这项变革性的研究将引入一种新的方法方法，将城市设计和社会经济考虑共生地整合到一个先进的模拟和优化框架中，以增强沿海城市关键基础设施的弹性。这一以人为中心的计算框架将有助于确定关键的恢复力基础设施，并有助于设计和土地利用模式，以提高沿海城市的破坏容忍度，同时减少沿海灾害和灾害的社会经济影响。该方法将汇集一组来自工程、建筑和社会科学的跨学科合作者，以产生几个关键创新：1)一个全面的以人为中心的计算框架，用于弹性城市的设计；2)通过分析城市设计及其基础设施网络，识别关键的类型、形态及其相互依赖；3)一个创新的灵活的建模和计算框架，为关键基础设施的模拟和弹性优化(损伤容限)集成社会经济特征；4)一个新的优化框架，将有助于做出损害容限决策，从而在面对灾难不确定性时实现预期的弹性；5)以佛罗里达州迈阿密和迈阿密海滩为基础的高度城市化的沿海社区的社会经济系统的新的相互依存关系、趋势和类型。总之，拟议的研究将为设想和重新设计有弹性的沿海城市奠定科学基础，使它们做好准备迎接预期的未来挑战。

Coastal cities play a critical role in the global economy. However, they are being increasingly exposed to natural hazards and disasters, such as hurricanes, and recurrent flooding due to the rise of sea-levels caused by climate change. These disasters directly impact critical coastal infrastructure such as the energy, transportation, water, and sewer systems as well as streets, buildings and houses of coastal cities, thus adversely affecting the safety and well-being of their residents. The goal of this research is to create new paradigms for the resilient design of urban communities, and uniquely tailored toward the design of coastal cities, thus contributing to NSF's science and engineering mission. Results from this research will help make critical coastal infrastructures more tolerant to damage. The in turn will foster socio-economic resilience by enabling anticipatory interventions. The developed techniques and simulation models will redefine traditional urban design strategies through the integration of architecture, urban design, land-use planning, civil engineering, and advanced computational methods that explicitly consider socio-economic drivers. This project will be conducted in close collaboration with the cities of Miami and Miami Beach. In addition to these collaborations serving as as case studies for the proposed research, the research will directly and tangibly benefit high-risk coastal urban centers by providing them with clear, context-specific recommendations with respect to implementing resiliency. Broad dissemination efforts will be undertaken via a series of seminars for decision-makers and practitioners within the cities of Miami and Miami Beach. An exposition at the Miami Museum of Science will be organized to raise awareness and promote research on resiliency. The project will involve students via direct engagement in the research as well as via new learning modules that will integrate research findings into the existing curriculum. The proposed educational plan will thus help train a new workforce that is skilled in STEM disciplines, in general, and adept in resiliency planning of coastal cities, in particular. In addition to serving NSF's science mission, therefore, this project also serves its education mission.This transformative research will introduce a novel methodological approach that symbiotically integrates urban design and socio-economic considerations into an advanced simulation and optimization framework to enhance the resilience of a coastal city's critical infrastructure. This human-centered computational framework will help identify key resilient infrastructures, and design and land use patterns that will increase the damage tolerance of coastal cities while reducing the socio-economic impacts of coastal hazards and disasters. The proposed approach will bring together an interdisciplinary set of collaborators from engineering, architecture, and social sciences, to yield several key innovations: 1) a holistic human-centered computational framework for the design of resilient cities; 2) identification of key typologies, morphologies and their interdependencies by analyzing the urban design and its infrastructure networks; 3) an innovative flexible modeling and computational framework that integrate socio-economic characteristics for simulation and resilience optimization (damage tolerance) of the critical infrastructure; 4) a novel optimization framework that will facilitate making damage tolerance decisions that can achieve anticipatory resilience in face of disaster uncertainty; and 5) new identified interdependences, trends, and typologies of socio-economic system of highly-urbanized coastal communities based on the cities of Miami and Miami Beach in Florida. In summary, the proposed research will lay the scientific foundation for envisioning and redesigning resilient coastal cities making them ready to meet anticipated future challenges.