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

减少我们国家关键和复杂的人口基础设施系统的不稳定性和脆弱性对于一个更高效、更有弹性和更有活力的社会至关重要。最近的灾难性事件，如2003年的东北大停电和2012年的飓风桑迪，关闭或中断了我们国家基础设施的基本和相互依赖的组成部分，如电网、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的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赖基础设施系统和过程（CRISP）合作研究项目的最终目标是提高相互依赖的人口-基础设施系统在各种程度的干扰（包括操作不确定性和灾难性中断）期间的弹性。这项研究将有利于基础设施系统的规划和运营，通过发展“智能社区/城市”，多个利益相关者可以共同努力，促进共同利益。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。总的来说，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提高经济效益，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，以量化多个基础设施系统和人口群体之间关键和复杂的相互依存关系。该框架还将有助于分析人口与基础设施之间关键联系的短期流动行为和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之间的相互作用；2)表征多个相互关联但又不同的系统中的基础设施；3)在一个自组织的分布式系统中建模和优化相互依赖的人口-基础设施系统，其中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性质(例如，系统平衡与稳定)。这项研究做出了三个关键的智力贡献。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，与人口特征相联系的基础设施模型允许检查异构基础设施与不同人口群体之间的双向互动。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相结合，创建一个现实的系统，在这个系统中，多方通过交流各自的可用信息来自主行为。

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.