Tucker, M., Ni Choine, M., O'Brien, E., O'Connor, A., Gavin, K., D'Ayala, D., Adey, B., Cheng, T., van Gelder, P., Sabeur, Z. and Jimenez, M.J. (2015) Novel Indicators for Identifying Critical INFRAstructure at RISK from Natural Hazards. In Proceedings of GRF Davos planet@risk. vol. 3, GRF Davos Planet@Risk. pp. 300-305 .
Abstract
e achievements of the European Union targets regarding energy and socio-economic
sustainability are highly dependent on the way risks and vulnerabilities of European operating
infrastructure networks and critical assets are minimised against natural extreme events. e
INFRARISK project is developing reliable stress tests for European critical infrastructure using
integrated modelling tools for decision-support. As a result it is possible to obtain higher infrastructure
networks resilience to rare and low probability extreme events. INFRARISK advances
decision making approaches and leads to beer protection of existing infrastructure whilst achieving
more robust strategies for the development of new ones. INFRARISK expands existing stress
test procedures and adapts them to critical land-based infrastructure, which may be exposed to or
threatened by natural hazards. Integrated risk mitigation scenarios and strategies are employed,
using local, national and pan-European infrastructure risk analysis methodologies. ese take into
consideration multiple hazards and risks with cascading impact assessments. e INFRARISK approach
robustly models spatio-temporal processes with propagated dynamic uncertainties in multiple
risk complexity scenarios. An operational framework with cascading hazards, impacts and
dependent geospatial vulnerabilities is developed. is framework is a central driver to practical
soware tools and guidelines that provide greater support to the next generation of European infrastructure
managers to analyse and handle scenarios of extreme events. e minimisation of the
impact of such events by the supporting tools establishes optimum mitigation measures and rapid
response. INFRARISK delivers a collaborative integrated platform where risk management professionals
access and share data, information and risk scenario results efficiently and intuitively
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- Faculties (pre 2018 reorg) > Faculty of Physical Sciences and Engineering (pre 2018 reorg) > Electronics & Computer Science (pre 2018 reorg) > IT Innovation (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Electronics & Computer Science (pre 2018 reorg) > IT Innovation (pre 2018 reorg)
School of Electronics and Computer Science > Electronics & Computer Science (pre 2018 reorg) > IT Innovation (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > IT Innovation > IT Innovation (pre 2018 reorg)
School of Electronics and Computer Science > IT Innovation > IT Innovation (pre 2018 reorg) - Faculties (pre 2018 reorg) > Faculty of Engineering and the Environment (pre 2018 reorg) > Southampton Marine & Maritime Institute (pre 2018 reorg)
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