Collaborative Research: Mitigating Disaster and Terrorism Impacts to Critical Infrastructure

合作研究：减轻灾害和恐怖主义对关键基础设施的影响

• 批准号: 1103637
• 负责人: Tony Grubesic
• 金额: $ 0.3万
• 依托单位: Drexel University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-10 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1103637&HistoricalAwards=false
• 关键词: Collaborative; Research; Mitigating; Disaster; Terrorism

Critical network infrastructures, such as transportation, communication, and utility systems, are designed to facilitate the movement of essential goods and services over geographic space. Many of these vital infrastructures are geographically extensive; increasing vulnerability to disruption by natural disasters, accidents, and/or sabotage. Planning for and managing the vulnerability of critical infrastructure to extreme events is a challenging task. This is particularly true given the uncertainty associated with the timing and severity of these events and the network components involved. Effective planning therefore is reliant on the ability to rigorously characterize potential disruptions. This collaborative research project will develop several new approaches for assessing network vulnerability to interdiction, which is broadly defined as the debilitation of network elements due to disaster, accident, or intentional harm. To support broader analysis of potential interdiction impacts to networked systems, the investigators will develop a general spatial optimization modeling framework for addressing the interdiction of system flow. They also will refine and further develop the general framework to address a number of practical planning concerns. Such concerns include additional planning objectives involving attributes of network components, interdiction cost, and system efficiency. The ultimate aim of modeling interdiction impact is to better inform mitigation and remediation efforts. A final goal of this research project will be the operationalization of a modeling framework to support system recovery in the event of interdiction. This research will be rooted in theoretical developments applicable to any networked system, with the analytical framework being designed for cross-cutting use over a broad spectrum of infrastructures.Understanding, assessing, and managing threats to critical network infrastructures is essential for ensuring the continuity of these complex systems. To address these needs, this research project will advance work in geographic information science and network modeling to facilitate identification of infrastructure risks and vulnerabilities. Modeling techniques developed to identify interdiction vulnerabilities will be useful for informing planning efforts and allocating resources for reducing risk in existing network infrastructure through fortification, recovery, and other such strategies. The most significant implication of this research may be the ability to consider multiple planning goals in the analysis of network vulnerability within a unified interdiction modeling framework. Such efforts will result in a more robust and realistic description of interdiction risk, enabling a more comprehensive assessment of recovery and fortification options. The results of this research will be of interest to the scientific community as well as to governmental and private-sector agencies involved in planning for the continuity of critical infrastructures.

关键的网络基础架构（例如运输，通信和公用事业系统）旨在促进基本商品和服务在地理空间上的运输。 这些重要的基础设施中的许多在地理上是广泛的。增加自然灾害，事故和/或破坏的脆弱性。 计划和管理关键基础设施到极端事件的脆弱性是一项艰巨的任务。 考虑到与这些事件的时间和严重性以及所涉及的网络组件相关的不确定性，这尤其如此。 因此，有效的计划依赖于严格表征潜在破坏的能力。 该协作研究项目将开发几种用于评估网络漏洞的新方法，该方法通常被定义为由于灾难，意外或故意伤害而导致的网络元素的虚弱。 为了支持对网络系统的潜在块状影响的更广泛分析，研究人员将开发一个通用的空间优化建模框架，以解决系统流的阻塞。 他们还将完善并进一步开发一般框架，以解决许多实际的计划问题。 这些问题包括涉及网络组件属性的其他计划目标，拦截成本和系统效率。 建模拦截影响的最终目的是更好地告知缓解和补救工作。 该研究项目的最终目标是建模框架的运营，以支持拦截时系统恢复。 这项研究将植根于适用于任何网络系统的理论发展，其分析框架的设计用于在广泛的基础架构上进行交叉使用。理解，评估和管理对关键网络基础架构的威胁对于确保这些复杂系统的持续性至关重要。 为了满足这些需求，该研究项目将推进地理信息科学和网络建模的工作，以促进基础设施风险和脆弱性的识别。 开发的建模技术来识别拦截漏洞将有助于通过强化，恢复和其他此类策略来告知计划工作和分配资源以降低现有网络基础架构的风险。 这项研究的最重要含义可能是在分析统一的拦截建模框架内的网络脆弱性中考虑多个计划目标的能力。 这样的努力将导致对拦截风险的更加牢固，更现实的描述，从而更全面地评估恢复和防御能力。 这项研究的结果将引起科学界以及参与计划关键基础设施连续性的政府和私营部门机构的关注。