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A quantified system-of-systems modeling framework for robust national infrastructure planning

Otto, A., Hall, J.W., Hickford, A.J., Nicholls, R.J., Alderson, D. and Barr, S. (2014) A quantified system-of-systems modeling framework for robust national infrastructure planning IEEE Systems Journal, PP, (99) (doi:10.1109/JSYST.2014.2361157).

Record type: Article


National infrastructure (NI) systems (i.e., energy, transport, water, waste, and information and communications technology) provide essential services to the economy and contribute to human well-being. These systems have evolved over centuries, being planned and implemented piecewise, and are mostly managed in isolation from one another. Here, we argue that the growing interconnection between these systems and the convergent challenges ahead (i.e., demographic, technological, and climate change) call for an integrated “system-of-systems” approach to managing NI. Toward that end, we propose a modeling framework for the long-term (to 2100) simulation of NI system performance in a highly uncertain future. The approach is based on the assessment of the performance of infrastructure services in a wide range of possible future conditions. This robust optimization is used to identify cross-sectoral strategies that ensure satisfactory infrastructure performance. We demonstrate the framework using Great Britain's NI as an example.

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Published date: 29 October 2014
Organisations: Civil Maritime & Env. Eng & Sci Unit, Transportation Group, Faculty of Engineering and the Environment


Local EPrints ID: 368332
ISSN: 1932-8184
PURE UUID: fefcbc08-56b5-4395-8577-d17bd913269b

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Date deposited: 12 Sep 2014 11:29
Last modified: 18 Jul 2017 01:48

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Author: A. Otto
Author: J.W. Hall
Author: A.J. Hickford
Author: R.J. Nicholls
Author: D. Alderson
Author: S. Barr

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