CDS&E: STRONG Cities - Simulation Technologies for the Realization of Next Generation Cities
CDS
基本信息
- 批准号:1250232
- 负责人:
- 金额:$ 55.24万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-09-15 至 2017-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
1250232Aliaga 该提案的研究目标是创建一个计算框架,用于产生下一代新城市设计或对现有城市进行改造——实现下一代城市或强城市的模拟技术。该项目将能够设计出对周围环境具有弹性(并且“更强”)并且更适合居民居住的城市 3D 模型。虽然可以执行多种类型的模拟,但很难概括不同城市建模和模拟过程(例如天气、社会经济、能源和环境模拟)的不同参数之间微妙的相互依赖性。该框架将传统的正向建模过程与逆向城市建模过程结合起来,优化输入参数以满足用户指定的指标。该方法有效地闭合了正向建模和逆向建模之间的循环,使用户能够更有效地生成满足其许多要求的 3D 模型。正向和逆向建模策略都可以在局部或全局模型修改的探索会话期间应用。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数据集和结果。此外,该项目还将为社会和公众参与、城市规划和指标可视化提供多种创新工具。特别是,该项目致力于设计、模拟和可视化未来城市,以评估建筑智能规范、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。它将建立在主要通过 NSF 和 NOAA 持续资助的教育项目的基础上,为初中生、高中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,因为两位 PI 都是多样性奖获得者,并且已经拥有多元化的研究队伍。这个研究项目非常及时。人类正处于城市文明的第一个世纪。自 2008 年以来,历史上首次有超过一半的世界人口居住在城市。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,并且在二十一世纪只会变得越来越重要。坚强城市项目将提供第一个动态整合城市土地利用规划和多个高影响模拟的计算系统,从而实现下一代具有天气意识、社会经济规划、抗旱和绿化意识的城市。该项目解决了所谓的“终极设计挑战”:城市化。这一目标引起了全球多个工程和科学领域(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、都市规划组织和灾害风险管理机构的广泛利益相关者的极大兴趣。缓解社区。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Daniel Aliaga其他文献
Impact of Urban Representation on Simulation of Hurricane Rainfall
城市表征对飓风降雨模拟的影响
- DOI:
10.1029/2023gl104078 - 发表时间:
2023-11-09 - 期刊:
- 影响因子:5.2
- 作者:
Pratiman Patel;Kumar Ankur;S. Jamshidi;Alka Tiwari;R. Nadimpalli;N. Busireddy;Samira Safaee;K. Osuri;S. Karmakar;Subimal Ghosh;Daniel Aliaga;James Smith;Frank Marks;Zong‐Liang Yang;D. Niyogi - 通讯作者:
D. Niyogi
Daniel Aliaga的其他文献
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{{ truncateString('Daniel Aliaga', 18)}}的其他基金
III: Medium: Collaborative Research: Deep Generative Modeling for Urban and Archaeological Recovery
III:媒介:协作研究:城市和考古恢复的深度生成模型
- 批准号:
2107096 - 财政年份:2021
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
EAGER: Minimal 3D Modeling Methodology
EAGER:最小 3D 建模方法
- 批准号:
2032770 - 财政年份:2020
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
Elements: Data: U-Cube: A Cyberinfrastructure for Unified and Ubiquitous Urban Canopy Parameterization
元素:数据:U-Cube:统一且无处不在的城市冠层参数化的网络基础设施
- 批准号:
1835739 - 财政年份:2019
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
CHS: Small: Functional Proceduralization of 3D Geometric Models
CHS:小型:3D 几何模型的功能程序化
- 批准号:
1816514 - 财政年份:2018
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
CGV: Medium: Collaborative Research: A Heterogeneous Inference Framework for 3D Modeling and Rendering of Sites
CGV:媒介:协作研究:用于站点 3D 建模和渲染的异构推理框架
- 批准号:
1302172 - 财政年份:2013
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
III: Medium: Collaborative Research: Integrating Behavioral, Geometrical and Graphical Modeling to Simulate and Visualize Urban Areas
III:媒介:协作研究:集成行为、几何和图形建模来模拟和可视化城市地区
- 批准号:
0964302 - 财政年份:2010
- 资助金额:
$ 55.24万 - 项目类别:
Continuing Grant
RI: Small: A Computational Framework for Marking Physical Objects against Counterfeiting and Tampering
RI:小型:用于标记物理对象防伪和篡改的计算框架
- 批准号:
0913875 - 财政年份:2009
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
MSPA-MCS: 3D Scene Digitization - A Novel Invariant Approach for Large-Scale Environment Capture
MSPA-MCS:3D 场景数字化 - 一种用于大规模环境捕获的新颖的不变方法
- 批准号:
0434398 - 财政年份:2004
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
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