In this paper the regional and infrastructure resilience are defined strictly in conditional probabilistic terms, as all the parameters which describe resilience quantitatively, are random. The conditionality of the probabilities is due to the time of analysis, financial, social and other restrictions for which the resilience is assessed. This concept flows out as a natural extention of the monitoring system designed for industrial systems [1-7].
Resilience is considered as a probability vector, which components include the physical and spatial resilience, as well as functional, organizational and social resilience. All these resiliencies can be parsed into partial resiliencies as related to different aspects of the considered type of resilience. The physical and spatial resilience of a system of critical infrastructures is defined through its reliability and operational risk.The latter, in its own right, depends on the quality of its diagnostics, monitoring and maintenance subsytems.Hence, resilience is a complex factor which fuses such characteristcics of a system as reliabiklity, longevity, availability, maintenance, safety, risk,and givernance.
The paper describes the multidisciplinary and multifaceted approach to regional critical and strategic infrastructures of different nature, using the above novel concept. It shows how to use the concept of quantitative resilience in design, operation and mitigation of the consequences of an industrial (main oil pipeline) or Nature (Arctic) disaster, and how to assess and manage regional resilience/risk by managing resilience/risk/reliability of the system of systems of critical infrastructures. A methodology is proposed to study the (semi)quantitative dependence/correlation between the reliability/safety levels of interdependent infrastructures and regional resilience. The super urgent problem is formulated on how to connect the physical and spatial (core) resiliencies with the functional, organizational and social resiliencies.
Initial results of an interdisciplinary project on developing a methodology of regional risk management via risk governance of critical infrastructure systems systems are presented, using some unified criteria (such as life expectancy, entropy). which permit convoluting a multidimensional problem into a single dimension problem.[2-7].
Results of the research may be useful to the regional and municipal level decision makers (DMs) [1-2] who make decisions related to optimal distribution of budgets, taking into account long term sustainable growth of entities under their jurisdiction. They will also be able to monitor how their decisions influence the quality of life / level of happiness of their constituents [3].