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

CRISP 类型 1/协作研究:以人为本的弹性沿海城市城市和社区设计计算框架

基本信息

项目摘要

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.
沿海城市在全球经济中发挥着至关重要的作用。然而,他们越来越多地暴露于自然灾害和灾害之中,比如飓风,以及气候变化导致的海平面上升导致的经常性洪水。这些灾害直接影响到关键的沿海基础设施,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产生不利影响。本研究的目标是为城市社区的弹性设计创造新的范例,并为沿海城市的设计量身定制,从而为国家科学基金会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关键的沿海基础设施对破坏的容忍度。反过来,这将通过实现预期干预来增强社会经济复原力。开发的技术和模拟模型将通过整合建筑、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,重新定义传统的城市设计策略。该项目将与迈阿密市和迈阿密海滩密切合作。除了这些合作作为拟议研究的案例研究外,该研究还将通过向高风险沿海城市中心提供有关实施弹性的明确,具体情况的建议,直接和切实地使其受益。将通过在迈阿密市和迈阿密海滩为决策者和实践者举办的一系列研讨会进行广泛的传播工作。将在迈阿密科学博物馆组织一个展览会,以提高人们对恢复力的认识并促进对恢复力的研究。该项目将让学生直接参与研究,并通过新的学习模块将研究成果整合到现有课程中。因此,拟议的教育计划将有助于培养一支在STEM学科方面熟练的新劳动力,特别是擅长沿海城市的弹性规划。因此,除了服务于NSF的科学使命,这个项目也服务于它的教育使命。这项变革性的研究将引入一种新的方法,将城市设计和社会经济因素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。这种以人为中心的计算框架将有助于确定关键的弹性基础设施,以及设计和土地使用模式,这些模式将提高沿海城市的损害容忍度,同时减少沿海灾害和灾害的社会经济影响。提出的方法将汇集来自工程、建筑和社会科学的跨学科合作者,产生几个关键的创新:1)一个以人为中心的整体计算框架,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,识别关键类型、形态及其相互依赖性;3)创新的灵活建模和计算框架,将社会经济特征整合到关键基础设施的模拟和弹性优化(损害容限)中;4)一种新的优化框架,有助于在面对灾害不确定性的情况下做出损害容忍度决策,从而实现预期弹性;5)以佛罗里达州迈阿密市和迈阿密海滩为例,对高度城市化沿海社区社会经济系统的相互依赖性、趋势和类型进行了新认识。总之,拟议的研究将为设想和重新设计弹性沿海城市奠定科学基础,使其准备好迎接预期的未来挑战。

项目成果

期刊论文数量(11)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Reliability Analysis of Large Intelligent Surfaces (LISs): Rate Distribution and Outage Probability
  • DOI:
    10.1109/lwc.2019.2935190
  • 发表时间:
    2019-12-01
  • 期刊:
  • 影响因子:
    6.3
  • 作者:
    Jung, Minchae;Saad, Walid;Choi, Sooyong
  • 通讯作者:
    Choi, Sooyong
Spectral Efficiency in Large Intelligent Surfaces: Asymptotic Analysis under Pilot Contamination
Drones in Distress: A Game-Theoretic Countermeasure for Protecting UAVs Against GPS Spoofing
  • DOI:
    10.1109/jiot.2019.2963337
  • 发表时间:
    2020-04-01
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Eldosouky, AbdelRahman;Ferdowsi, Aidin;Saad, Walid
  • 通讯作者:
    Saad, Walid
Aging in Flood-Prone Coastal Areas: Discerning the Health and Well-Being Risk for Older Residents
Trade-offs and Decision Support Tools for FEW Nexus-Oriented Management
面向 FEW Nexus 的管理的权衡和决策支持工具
  • DOI:
    10.1007/s40518-017-0075-3
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Daher, Bassel;Saad, Walid;Pierce, Suzanne A.;Hülsmann, Stephan;Mohtar, Rabi H.
  • 通讯作者:
    Mohtar, Rabi H.
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Walid Saad其他文献

Joint User Grouping, Version Selection and Bandwidth Allocation for Live Video Multicasting
直播视频组播的联合用户分组、版本选择和带宽分配
  • DOI:
    10.1109/tcomm.2021.3115480
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    8.3
  • 作者:
    Zhilong Zhang;Minyin Zeng;Danpu Liu;Walid Saad;Shuguang Cui;H. Vincent Poor
  • 通讯作者:
    H. Vincent Poor
Sensing Aided Channel Estimation in Wideband Millimeter-Wave MIMO Systems
宽带毫米波 MIMO 系统中的传感辅助信道估计
Computer Vision-Based Localization With Visible Light Communications
基于计算机视觉的可见光通信定位
  • DOI:
    10.1109/twc.2021.3109146
  • 发表时间:
    2022-03
  • 期刊:
  • 影响因子:
    10.4
  • 作者:
    Lin Bai;Yang Yang;Mingzhe Chen;Chunyan Feng;Caili Guo;Walid Saad;Shuguang Cui
  • 通讯作者:
    Shuguang Cui
Investigation of genes that may contribute to disease tropism in Leishmania species
研究可能有助于利什曼原虫物种向病性的基因
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Walid Saad
  • 通讯作者:
    Walid Saad
Pilot Optimization and Channel Estimation Scheme for Semantic Communication: A Framework for Edge Intelligence
语义通信的导频优化和信道估​​计方案:边缘智能框架

Walid Saad的其他文献

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{{ truncateString('Walid Saad', 18)}}的其他基金

Collaborative Research: NeTS: JUNO3: Towards an Internet of Federated Digital Twins (IoFDT) for Society 5.0: Fundamentals and Experimentation
合作研究:NetS:JUNO3:迈向社会 5.0 的联合数字孪生 (IoFDT) 互联网:基础知识和实验
  • 批准号:
    2210254
  • 财政年份:
    2022
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
NSF-AoF: Vision-Guided Wireless Communication Systems
NSF-AoF:视觉引导无线通信系统
  • 批准号:
    2225511
  • 财政年份:
    2022
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: Hierarchical Federated Learning Over Wireless Edge Networks: Performance Analysis and Optimization
协作研究:CNS 核心:小型:无线边缘网络的分层联邦学习:性能分析和优化
  • 批准号:
    2114267
  • 财政年份:
    2021
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
SII Planning: ARIES: Center for Agile, RelIablE, Scalable Spectrum
SII 规划:ARIES:敏捷、可靠、可扩展频谱中心
  • 批准号:
    2037870
  • 财政年份:
    2020
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
EAGER: Collaborative Research: Modernizing Cities via Smart Garden Alleys with Application in Makassar City
EAGER:合作研究:通过智能花园巷实现城市现代化并在望加锡市应用
  • 批准号:
    2025377
  • 财政年份:
    2020
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: Extended Reality over Wireless Cellular Networks: Quality-of-Experience Analysis and Optimization
合作研究:CNS 核心:小型:无线蜂窝网络上的扩展现实:体验质量分析和优化
  • 批准号:
    2007635
  • 财政年份:
    2020
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
CNS Core: Small: Collaborative: Towards Surge-Resilient Hybrid RF/VLC Networks
CNS 核心:小型:协作:迈向抗浪涌混合 RF/VLC 网络
  • 批准号:
    1909372
  • 财政年份:
    2019
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
ICE-T: RC: Towards Highly Reliable Low Latency Broadband (HRLLBB) Communications over Wireless Heterogeneous Networks
ICE-T:RC:通过无线异构网络实现高度可靠的低延迟宽带 (HRLLBB) 通信
  • 批准号:
    1836802
  • 财政年份:
    2018
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
BIGDATA: Collaborative Research: IA: Big Data Analytics for Optimized Planning of Smart, Sustainable, and Connected Communities
BIGDATA:协作研究:IA:用于智能、可持续和互联社区优化规划的大数据分析
  • 批准号:
    1633363
  • 财政年份:
    2016
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
CRISP Type 2: Collaborative Research: Towards Resilient Smart Cities
CRISP 类型 2:协作研究:迈向弹性智能城市
  • 批准号:
    1541105
  • 财政年份:
    2016
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant

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CRISP 2.0 类型 2:合作研究:水和卫生基础设施复原力和学习 (WHIRL)
  • 批准号:
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CRISP 2.0 类型 2:协作研究:在关键的相互依赖的基础设施系统和流程中组织去中心化的弹性 (ORDER-CRISP)
  • 批准号:
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