作者: Sarah Dunn , Sean Wilkinson , Alistair Ford
DOI: 10.1016/J.SCS.2016.08.011
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摘要: Abstract Critical infrastructure systems are essential components of a nation's assets. They support economic development, enable growth and help to protect against hazard. In recent years, the demands placed upon these have been rapidly increasing, partly due shift from rural urban living increasing wealth. For example, in 1960, only 34% world's population lived cities whereas, 2014, this figure had risen 54%. This has also caused massive explosion therefore proportionately greater risk social cohesion through potential loss critical natural or manmade While it is possible model performance systems, complexity them makes difficult assess their contribution development resilience deficiency stems our inability identify key generic features that would us simplify task hence conduct probabilistic assessments recognise underlying drivers govern evolution thus make robust future decisions. paper we present an algorithm can generate spatial nodal layouts which share number non-trivial common several types real world networks. The synthetic networks generated by be used planning studies see how may evolve future, considering alternate policy scenarios for other scenario based assessments, such as hazard tolerance studies.