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Strategic Risk Assessment and Contingency Planning in Interconnected Transport Networks (STAR-TRANS)
Start date: Nov 1, 2009, End date: Apr 30, 2012 PROJECT  FINISHED 

"STAR-TRANS aspires to develop a holistic risk assessment methodology for Critical Infrastructure and apply it to a wide panel of international transportation infrastructures to analyse and assess common issues for risks, threats and vulnerabilities and identify possible interdependencies assessing the impact of failures on interconnected transportation infrastructures. The successful project outcome will offer important aids for decision-makers to determine priorities among multiple contingency alternatives by evaluating the consequences (cost, timing, resources, etc) of proposed actions. The improvement of the response and management capabilities regarding assessment of incidences / failures in critical transport infrastructures will be achieved through the identification and closure of relevant knowledge gaps and through the development, validation and usage of computational modelling tools. STAR-TRANS aims at developing a modelling formalism in which specification of the structure and associated assets of European transportation networks as well as the specification of the dependency types between the assets of interconnected and interdependent transportation networks is facilitated. This modelling formalism will consider a transportation ‘network of networks’ as consisting of nodes and links. In so doing, tools from network and graph theory and the systems area will be employed. A specialised software system will be developed that will support the end users, and network operators needs. The software tool will provide the technology to link together any relevant assets of interconnected and interdependent transport networks, such that risk managers, policy makers and others can, subsequently, be provided with the impact that a risk incident on an asset of a specific transportation network may have on the assets of other interconnected and interdependent transport networks."

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