CRISP Type 1/Collaborative Research: Population-Infrastructure Nexus: A Heterogeneous Flow-based Approach for Responding to Disruptions in Interdependent Infrastructure Systems

CRISP 类型 1/协作研究：人口-基础设施关系：一种基于异构流的方法，用于响应相互依赖的基础设施系统的中断

• 批准号: 1634738
• 负责人: Xiaopeng Li
• 金额: $ 35万
• 依托单位: University of South Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-03-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1634738&HistoricalAwards=false
• 关键词: CRISP; Type; Collaborative; Research; Population

Reducing the instability and vulnerability of our nation's critical and complex population-infrastructure system is essential for a more efficient, resilient, and vital society. Recent catastrophic events, such as the Northeast Blackout of 2003 and Hurricane Sandy in 2012, shut down or interrupted essential and interdependent components of our national infrastructure, such as electric networks, fuel supplies, and transportation systems. This vulnerability is exacerbated by changing population dynamics. Those dynamics impose serious challenges to the capacity of the individual components of our infrastructure system to efficiently respond to both moderate disturbances and extreme events. The ultimate goal of this Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) collaborative research project is to increase the resilience of the interdependent population-infrastructure system during disturbances of various magnitudes (including operational uncertainties and disastrous disruptions). This research will benefit infrastructure system planning and operations by developing "smart communities/cities" where multiple stakeholders can work together to promote mutual interests. This research will also develop innovative educational and training modules to give future generations and practitioners a vision of efficient, resilient and socially vital built environments and means to approach it. Overall, the outcome of this interdisciplinary research will benefit society through energy savings and economic enhancement by means of better infrastructure design and communication systems.The purpose of this interdisciplinary research is to develop a distributed heterogeneous flow-based modeling framework to quantify the critical and complex interdependence of multiple infrastructure systems and population groups. The framework will also assist in analyzing short-term mobility behaviors and long-term social and demographic evolution of the critical connection between population and infrastructure. These objectives will be achieved by: 1) quantifying the interactions of different demographic groups with multiple infrastructures, 2) characterizing infrastructure facilities in several interconnected yet diverse systems, 3) modeling and optimizing the interdependent population-infrastructure system in a self-organized distributed system in which various infrastructure and population agents communicate on a cyber-platform, and 4) analyzing the important theoretical properties of this integrated model (e.g., system equilibrium and stability). This research makes three key intellectual contributions. First, a heterogeneous-flow-based network modeling method will define the dynamics and equilibria of several interdependent infrastructure systems. Second, the infrastructure model in a nexus with population characteristics allows examination of the two-way interactions between heterogeneous infrastructure facilities and different population groups. Third, this model will be integrated with a distributed cyber-communication platform based on self-organized "swarm intelligence" to create a realistic system in which multiple parties behave autonomously by communicating their respective available information.

减少我国关键而复杂的人口基础设施系统的不稳定性和脆弱性对于建设一个更加高效、有弹性和充满活力的社会至关重要。最近发生的灾难性事件，例如 2003 年东北大停电和 2012 年桑迪飓风，关闭或中断了我们国家基础设施的重要且相互依存的组成部分，例如电力网络、燃料供应和运输系统。人口动态的变化加剧了这种脆弱性。这些动态对我们基础设施系统各个组成部分有效应对中度干扰和极端事件的能力提出了严峻的挑战。这个关键弹性相互依存基础设施系统和流程（CRISP）合作研究项目的最终目标是提高相互依存的人口基础设施系统在各种程度的干扰（包括运行不确定性和灾难性破坏）期间的弹性。这项研究将通过开发“智能社区/城市”，使多个利益相关者可以共同努力促进共同利益，从而有利于基础设施系统的规划和运营。这项研究还将开发创新的教育和培训模块，为后代和从业者提供高效、有弹性和对社会至关重要的建筑环境的愿景以及实现这一目标的方法。总体而言，这项跨学科研究的成果将通过更好的基础设施设计和通信系统来节约能源和增强经济，从而造福社会。这项跨学科研究的目的是开发一种基于分布式异构流的建模框架，以量化关键和复杂的数据流。多个基础设施系统和人口群体的相互依赖。该框架还将有助于分析短期流动行为以及人口与基础设施之间关键联系的长期社会和人口演变。这些目标将通过以下方式实现：1）量化不同人口群体与多种基础设施的相互作用，2）描述几个相互关联但多样化的系统中的基础设施特征，3）在自组织分布式系统中建模和优化相互依赖的人口基础设施系统各种基础设施和人口主体在网络平台上进行通信，4）分析该集成模型的重要理论特性（例如系统平衡和稳定性）。这项研究做出了三项关键的智力贡献。首先，基于异构流的网络建模方法将定义几个相互依赖的基础设施系统的动态和平衡。其次，与人口特征联系的基础设施模型允许检查异构基础设施和不同人口群体之间的双向相互作用。第三，该模型将与基于自组织“群体智能”的分布式网络通信平台集成，以创建一个现实的系统，其中多方通过通信各自的可用信息来自主行动。

项目成果

Reliable facility location design with round-trip transportation under imperfect information Part I: A discrete model

不完善信息下往返交通的可靠设施选址设计第一部分：离散模型

• DOI: 10.1016/j.tre.2019.101825
• 发表时间: 2020-01
• 期刊: Transportation Research Part E: Logistics and Transportation Review
• 作者: Yun, Lifen;Wang, Xifu;Fan, Hongqiang;Li, Xiaopeng
• 通讯作者: Li, Xiaopeng