CDS&E: STRONG Cities - Simulation Technologies for the Realization of Next Generation Cities

1250232 Aliaga本提案的研究目标是创建一个计算框架，用于生成下一代新城市设计或修改现有城市-实现下一代城市或STRONG城市的模拟技术。该项目将使设计城市的3D模型能够适应（和“更强大”）其周围环境，更适合其居民居住。虽然可以执行多种类型的模拟，但是很难封装不同城市建模和模拟过程的不同参数之间的微妙的相互依赖性（例如，天气、社会经济、能源和环境模拟）。该框架将传统的正演建模过程与优化输入参数以满足用户指定指标的逆城市建模过程相结合。有效地，该方法闭合了正向和反向建模之间的循环，并使用户能够更有效地生成满足其许多要求的3D模型。正向和反向建模策略都可以在探索会话期间应用，用于局部或全局模型修改。预期的交付成果包括软件基础设施、模拟算法、重新参数化方法以及多个城市的示例性数据集和结果。此外，该项目将为社会和公众参与、城市规划和指标可视化提供若干创新工具。特别是，该项目致力于设计，模拟和可视化未来城市，以评估建筑智能代码，可持续发展计划，未来建筑设计，替代交通投资，土地使用法规和环境保护政策。它将主要通过国家科学基金会和国家海洋和大气管理局，以正在进行的资助教育项目为基础，向初中和高中学生以及大学学生提供教育材料。此外，该项目也非常适合促进多样性，因为这两个PI都是多样性奖的获得者，并且已经拥有了多样化的研究队伍。人类正处于城市文明的第一个世纪。自2008年以来，有史以来第一次有一半以上的世界人口居住在城市。在未来30年，人口增长和城市化程度只会增加。因此，妥善管理现有城市的发展和未来城市的设计是一个至关重要的问题，在二十一世纪，这个问题的重要性只会继续增加。STRONG Cities项目将提供第一个计算系统，动态整合城市土地利用规划和几个高影响模拟，从而实现下一代天气感知，社会经济规划，干旱准备和绿化意识的城市。该项目涉及所谓的“终极设计挑战”：城市化。这一目标对全世界范围内的各种利益相关者具有重大意义，并跨越了几个工程和科学领域（例如，土木工程、农业工程、水文学、地球和大气科学）以及城市规划者、大都市规划组织和减灾社区。

1250232AliagaThe research objective of this proposal is to create a computational framework for producing next-generation new city designs or modifications to existing cities-Simulation Technologies for the Realization of Next Generation Cities or STRONG Cities. The project will enable designing 3D models of cities that are resilient (and "stronger") to its surrounding environment and more livable for its inhabitants. While multiple types of simulations can be performed, it is hard to encapsulate the subtle interdependencies between different parameters of the diverse urban modeling and simulation processes (e.g., weather, socio-economic, energy, and environmental simulations). This framework couples the traditional forward modeling process with an inverse urban modeling process that optimizes the input parameters to satisfy user-specified indicators. Effectively, the approach closes the loop between forward and inverse modeling and enabling the user to be much more efficient in generating a 3D model that satisfies their many requirements. Both forward and inverse modeling strategies can be applied during an exploration session for either local or global model modifications. The expected deliverables include software infrastructure, simulation algorithms, a re-parameterization method, and exemplary datasets and results for multiple cities. Furthermore, the project will provide several innovative tools for social and public engagement, for urban planning, and for indicator visualization. In particular, the project addresses designing, simulating, and visualizing future cities in order to evaluate building smart codes, sustainability plans, future architectural designs, alternative transportation investments, land use regulations, and environmental protection policies. It will build upon ongoing funded education projects, mainly through NSF and NOAA, to provide educational material to middle and high school students as well as university level students. Moreover, the project is also very well suited to promote diversity since both PIs are diversity award winners and already have a diverse research workforce.This research project is very timely. Mankind is now in the first century of the urban civilization. Since 2008, and for the first time in history, more than half of the world population lives in cities. Over the next 30 years the growth of the population and amount of urbanization will only increase. Hence, properly managing the growth of existing cities and the design of future cities is a vital issue that will only continue to increase in importance during the twenty-first century. The STRONG Cities project will provide the first computational system to dynamically integrate urban land use planning and several high impact simulations thus enabling a next generation of weather-aware, socio-economically planned, drought-ready, and greening conscious cities. The project addresses what has been called the "ultimate design challenge": urbanization. This objective is of significant interest to a wide variety of stakeholders worldwide and spanning several engineering and science fields (e.g., civil engineering, agricultural engineering, hydrology, and earth and atmospheric sciences) as well as urban planners, metropolitan planning organizations, and the hazard mitigation community.