Titlebook: Critical Infrastructure; Reliability and Vuln Alan T. Murray,Tony H. Grubesic Book 2007 Springer-Verlag Berlin Heidelberg 2007 Disasters.Im

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,Grundgesetze der Widerstandsschwei?ung, potential disruption (see Wu 1992). In such analysis, the disruptive activity being examined, whether due to natural disaster, accident, or sabotage, can be generically referred to as network interdiction.

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et Backbone Providers (IBPs) manage their own long-haul transmission networks with high bandwidths to transit Internet traffic and a number of Internet Service Providers (ISPs) mainly provide customers with access by connecting them to IBPs (Malecki 2002; Dodd 2002).

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Transport Network Vulnerability: a Method for Diagnosis of Critical Locations in Transport Infrastr including the state of development, condition and level of use of existing infrastructure systems, especially transport networks; difficulties associated with public sector provision of new infrastructure; publicprivate partnership arrangements for infrastructure provision; and perceptions of risks

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A Framework for Vulnerability Assessment of Electric Power Systems,ngs. In a broad definition of infrastructure, it is also possible to include basic societal functions like education, national defense, and financial and judicial systems. Here, the notion critical infrastructure will refer to the collection of large technical systems, for example electric power gri

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Survivability of Commercial Backbones with Peering: A Case Study of Korean Networks,emic, personal, business, government, etc.) and spans the globe. This worldwide communication system is operated by multiple network providers. Internet Backbone Providers (IBPs) manage their own long-haul transmission networks with high bandwidths to transit Internet traffic and a number of Interne

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A Reliability-based User Equilibrium Model for Traffic Assignment,d, traffic flow prediction is of fundamental importance for strategic transport planning, network design and long-term road improvement problems. A new reliability-based user equilibrium (RUE) model is proposed in this Chapter, premising on the fact that drivers consider both travel time and reliabi