CRISP 2.0 Type 2: Collaborative Research: Organizing Decentralized Resilience in Critical Interdependent-infrastructure Systems and Processes (ORDER-CRISP)

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)

基本信息

项目摘要

This Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) project develops an integrated resilience modeling framework for mitigating vulnerabilities in critical interdependent infrastructure systems. The framework evaluates the coupled nature of vulnerabilities across physical and social systems in Miami and Houston. By focusing on the effects of recent hurricanes on the interdependent-infrastructures in energy, water, transportation and telecommunication, and the human-infrastructures interactions, the project explores options for resilience. The system vulnerabilities are quantified with regional inoperability based economic-interdependency models. The project will develop an app for information sharing with the public. Thus, this scientific research contribution supports NSF's mission to promote the progress of science and to advance our national welfare with benefits that will optimize investments in the nation's critical infrastructures. The project integrates risk-based models, agent-based simulations, dynamic models of social vulnerability, and models of economic impacts of inoperability. The novelty lies in integrating the interdisciplinary research components: (i) incorporating wind and flood inundation risk into the utility and service disruption models to analyze and determine the extent of interdependent infrastructure failures in energy, water, transportation, and telecommunication sectors; (ii) constructing socio-infrastructural systems of vulnerability and analyzing evacuation/relocation behavior to assess the need for emergent critical infrastructure services; (iii) micro simulation for analyzing coping behavior and facilitating decentralized resilience through information sharing and critical resource pooling; (iv) a macro (city level) inoperability based resilience model to integrate household and social responses with disrupted interdependent infrastructure systems; and (v) developing an app to facilitate and scale up participatory resilience through crowd-sourcing which will be usable in other disaster settings. The project will engage, mentor, and offer an innovative active learning environment for K-12, undergraduate, and graduate students by giving priority to the disadvantaged and underrepresented communities.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.
该关键弹性相互依赖基础设施系统和流程 (CRISP) 项目开发了一个集成弹性建模框架,用于减轻关键相互依赖基础设施系统中的漏洞。该框架评估了迈阿密和休斯顿物理和社会系统脆弱性的耦合性质。该项目重点关注近期飓风对能源、水、交通和电信等相互依存的基础设施以及人类与基础设施相互作用的影响,探索恢复能力的选择。系统漏洞通过基于区域不可操作性的经济相互依赖模型进行量化。该项目将开发一款与公众共享信息的应用程序。 因此,这项科学研究贡献支持 NSF 的使命,即促进科学进步并通过优化对国家关键基础设施的投资来促进我们的国家福利。 该项目集成了基于风险的模型、基于代理的模拟、社会脆弱性动态模型以及无法操作的经济影响模型。新颖之处在于整合跨学科研究组成部分:(i)将风和洪水淹没风险纳入公用事业和服务中断模型中,以分析和确定能源、水、交通和电信部门相互依赖的基础设施故障的程度; (ii) 构建社会基础设施脆弱性系统并分析疏散/搬迁行为,以评估对紧急关键基础设施服务的需求; (iii) 微观模拟,用于分析应对行为并通过信息共享和关键资源池促进分散的复原力; (iv) 宏观(城市层面)基于不可操作性的复原力模型,将家庭和社会应对措施与受到破坏的相互依存的基础设施系统结合起来; (v) 开发一款应用程序,通过众包促进和扩大参与性复原力,该应用程序可用于其他灾害环境。该项目将优先考虑弱势群体和代表性不足的社区,为 K-12 学生、本科生和研究生提供参与、指导和提供创新的主动学习环境。该奖项反映了 NSF 的法定使命,并通过评估被认为值得支持基金会的智力价值和更广泛的影响审查标准。

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Understanding the influence of multiple information sources on risk perception dynamics and evacuation decisions: An agent-based modeling approach
Understanding the Loss in Community Resilience due to Hurricanes using Facebook Data
  • DOI:
    10.1016/j.ijdrr.2023.104036
  • 发表时间:
    2023-02
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Tasnuba Binte Jamal;Samiul Hasan
  • 通讯作者:
    Tasnuba Binte Jamal;Samiul Hasan
Predicting traffic demand during hurricane evacuation using Real-time data from transportation systems and social media
A Deep Learning Approach for Network-wide Dynamic Traffic Prediction during Hurricane Evacuation
  • DOI:
    10.1016/j.trc.2023.104126
  • 发表时间:
    2022-02
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Rezaur Rahman;Samiul Hasan
  • 通讯作者:
    Rezaur Rahman;Samiul Hasan
A multilabel classification approach to identify hurricane‐induced infrastructure disruptions using social media data
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Samiul Hasan其他文献

Philanthropy and Social Justice in Islam: Principles, Prospects, and Practices
伊斯兰教的慈善事业和社会正义:原则、前景和实践
Modeling urban mobility dynamics using geo-location data
使用地理位置数据对城市流动动态进行建模
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Samiul Hasan
  • 通讯作者:
    Samiul Hasan
Crisis Communication Patterns in Social Media during Hurricane Sandy
桑迪飓风期间社交媒体的危机沟通模式
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    A. M. Sadri;Samiul Hasan;S. Ukkusuri;Manuel Cebrian
  • 通讯作者:
    Manuel Cebrian
Social Capital and Social Entrepreneurship in Asia: Analysing the Links
亚洲的社会资本和社会企业家精神:分析联系
Human Development: Perspectives, Gaps, and Issues for the MMCs
人类发展:MMC 的观点、差距和问题
  • DOI:
    10.1007/978-94-007-2633-8_3
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Samiul Hasan
  • 通讯作者:
    Samiul Hasan

Samiul Hasan的其他文献

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{{ truncateString('Samiul Hasan', 18)}}的其他基金

Collaborative Research: Predicting Real-time Population Behavior during Hurricanes Synthesizing Data from Transportation Systems and Social Media
合作研究:综合交通系统和社交媒体数据预测飓风期间的实时人口行为
  • 批准号:
    1917019
  • 财政年份:
    2019
  • 资助金额:
    $ 20.02万
  • 项目类别:
    Standard Grant

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  • 批准号:
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CRISP 2.0 Type 2: Collaborative Research: Organizing Decentralized Resilience in Critical Interdependent-infrastructure Systems and Processes (ORDER-CRISP)
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