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)

• 批准号: 1832578
• 负责人: Samiul Hasan
• 金额: $ 20.02万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-01-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1832578&HistoricalAwards=false
• 关键词: CRISP; 2.0; Type; Collaborative; Research

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.

这个关键的弹性相互依存的基础架构系统和流程（CRISP）项目开发了一个集成的弹性建模框架，用于减轻关键相互依存的基础架构系统中的脆弱性。该框架评估了迈阿密和休斯顿的物理和社会系统中脆弱性的耦合性质。通过关注近期飓风对能源，水，运输和电信的相互依存关系以及人类基础设施相互作用的影响，该项目探讨了弹性的选择。系统的漏洞是通过基于区域不可用性的经济依赖性模型来量化的。该项目将开发一个用于与公众共享信息的应用程序。 因此，这项科学研究的贡献支持NSF促进科学进步的使命，并通过利益促进我们的民族福利，以优化国家关键基础设施的投资。 该项目集成了基于风险的模型，基于代理的模拟，社会脆弱性的动态模型以及对不可用性的经济影响模型。新颖性在于整合跨学科的研究组成部分：（i）将风和洪水淹没风险纳入效用和服务中断模型，以分析和确定能源，水，运输和电信领域中相互依存的基础设施失败的程度； （ii）构建脆弱性的社会基础结构系统，并分析疏散/搬迁行为，以评估对新兴关键基础设施服务的需求； （iii）微模拟通过信息共享和关键的资源汇总来分析应对行为并促进分散的弹性； （iv）基于宏观（城市层）基于宏观的弹性模型，将家庭和社会反应与破坏的相互依存的基础设施系统整合在一起； （v）开发一个应用程序，通过众包来促进和扩展参与式的弹性，这将在其他灾难环境中可用。该项目将通过优先考虑弱势群体和代表性不足的社区来为K-12，本科和研究生提供创新的积极学习环境。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子和更广泛的影响来评估的支持，并被视为值得的支持。

项目成果

Understanding the influence of multiple information sources on risk perception dynamics and evacuation decisions: An agent-based modeling approach

• DOI: 10.1016/j.ijdrr.2022.103328
• 发表时间: 2022-10-06
• 期刊: INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
• 影响因子: 5
• 作者: Roy，Kamol C.;Hasan，Samiul;Mozumder，Pallab
• 通讯作者: Mozumder，Pallab

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: ArXiv
• 作者: Tasnuba Binte Jamal;Samiul Hasan

Predicting traffic demand during hurricane evacuation using Real-time data from transportation systems and social media

• DOI: 10.1016/j.trc.2021.103339
• 发表时间: 2021-10
• 期刊: Transportation Research Part C-emerging Technologies
• 影响因子: 8.3
• 作者: K. Roy;Samiul Hasan;A. Culotta;Naveen Eluru

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: ArXiv
• 作者: Rezaur Rahman;Samiul Hasan

Building urban infrastructure resilience through network governance

通过网络治理建设城市基础设施复原力

• DOI: 10.1016/j.ugj.2023.01.001
• 发表时间: 2023
• 期刊: Urban Governance
• 作者: Kapucu, Naim;Hu, Qian;Sadiq, Abdul-Akeem;Hasan, Samiul
• 通讯作者: Hasan, Samiul