GOALI-Enhancing Critical Infrastructure Recovery Through Communication Network Visualization
GOALI-Enhancing Critical Infrastructure Recovery Through Communication Network Visualization
批准号:
0738613
负责人:
Paul Chinowsky
金额:
$3.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-15 至 2008-08-31
中文摘要
美国的关键基础设施包括一系列广泛的系统以及相互关联的人造和自然设施和资产。这种基础设施的发展发生在上个世纪,代表了技术进步、环境意识和与本研究特别相关的复原力的不同阶段。就最后一个参数而言,随着自然和人为灾难开始突显基础设施网络的脆弱性,关键基础设施的弹性正在成为联邦、州和地方司法机构的主要关切和重点。虽然对这些灾害及其对关键基础设施的影响的规划受到了极大的关注,但对提高这些系统的恢复时间的关注较少。这一恢复过程的一个关键方面是恢复网络中相互依赖的基础设施专家的组织、管理和协作。拟议的研究工作强调使用社交网络分析(SNA)来可视化高性能和低性能恢复网络之间的关系。利用数学图论的背景,网络图将直观地识别在影响恢复团队通信和绩效方面具有统计意义的成功因素。这项研究工作汇集了科罗拉多大学(CU)、帕森斯·布林克霍夫(PB)和MWH International(MWH)的研究人员,开展了一项独特的合作,研究如何将这些网络用作加强关键基础设施恢复的基础要素。具体地说,研究团队将合作专注于两个相互关联的研究领域。首先,研究将侧重于了解相互依赖的基础设施网络中发生的通信。其次,研究将重点放在将这一认识转化为基础设施恢复通信图的制定上。总之,基础设施恢复绘图和可视化工作将:1)证明网络绘图和可视化可深入了解基础设施恢复项目所需的关键连接;2)建立关于项目网络和强化基础设施恢复成果之间关系的基础通信和基于网络的理论。
英文摘要
The critical infrastructure of the United States incorporates a wide array of systems and interconnected man-made and natural facilities and assets. The development of this infrastructure has occurred over the last century and represents various stages of technological advancement, environmental awareness, and of particular relevance to this research, resiliency. In terms of this last parameter, the resiliency of critical infrastructure is emerging as a primary concern and focus of Federal, state, and local jurisdictions as natural and man-made disasters begin to highlight the vulnerability of the infrastructure network. While planning for these disasters and their effects on critical infrastructure has received significant attention, enhancing the recovery time for these systems has received less attention. A critical aspect of this recovery process is the organization, management, and collaboration of the interdependent infrastructure experts within a recovery network. The proposed research effort emphasizes the use of Social Network Analysis (SNA) to visualize the relationships between high performance and under-performing recovery networks. Using the backdrop of mathematical graph theory, the network maps will visually identify the success factors that are statistically significant in influencing recovery team communications and performance. The research effort brings together University of Colorado (CU), Parsons Brinkerhoff (PB), and MWH International (MWH) investigators in a unique collaboration to study the use of these networks as a foundational element to enhance critical infrastructure recovery. Specifically, the research team will collaborate to focus on two interrelated research areas. First, the research will focus on understanding the communications that occur within interdependent infrastructure networks. Second, the research will focus on the translation of this understanding into the development of infrastructure recovery communication maps. In summary, the infrastructure recovery mapping and visualization effort will; 1) prove that network mapping and visualization can provide insights into the critical connections that are required on infrastructure recovery projects, and 2) establish an underlying communications and network-based theory on the relationship between project networks and enhanced infrastructure recovery outcomes.
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