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13 - Database, simulation modelling and visualisation for national infrastructure assessment

from Part III - Integrative perspectives for the future

Published online by Cambridge University Press:  05 February 2016

Jim W. Hall
Affiliation:
University of Oxford
Martino Tran
Affiliation:
University of Oxford
Adrian J. Hickford
Affiliation:
University of Southampton
Robert J. Nicholls
Affiliation:
University of Southampton
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The Future of National Infrastructure
A System-of-Systems Approach
, pp. 268 - 293
Publisher: Cambridge University Press
Print publication year: 2016

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References

Albert, R. and Barabási, A.-L. (2002). “Statistical mechanics of complex networks.” Reviews of Modern Physics 74(1): 4797.CrossRefGoogle Scholar
Alderson, D., Barr, S., Tran, M., Hall, J. W., Otto, A., Hickford, A. J. and Byers, E. (2014). Visualisation tools for multi-perspective, cross-sector, long-term infrastructure performance evaluation. International Symposium for Next Generation Infrastructure 2014. Vienna, Austria.Google Scholar
Amadi-Echendu, J. E. (2006). New paradigms for physical asset management. 3rd World Congress on Maintenance. Basel, Switzerland.Google Scholar
Amadi-Echendu, J. E., Willett, R., Brown, K., Hope, T., Lee, J., Mathew, J., Vyas, N. and Yang, B.-S. (2010). What is Engineering Asset Management? Definitions, concepts and scope of engineering asset management. Amadi-Echendu, J. E., Brown, K., Willett, R. and Mathew, J. (Eds.). London, UK, Springer. 1: 316.CrossRefGoogle Scholar
Barr, S., Alderson, D., Robson, C., Otto, A., Thacker, S. and Pant, R. (2013). A national scale infrastructure database and modelling environment for the UK. International Symposium for Next Generation Infrastructure. Wollongong, Australia.Google Scholar
Barr, S. L., Holderness, T., Alderson, D., Robson, C. and Ford, A. (2012). An open source relational database schema and system for the analysis of large scale spatially interdependent infrastructure networks. 4th Open Source GIS Conference (OSGIS). Nottingham, UK, Nottingham Geospatial Institute.Google Scholar
Boccaletti, S., Latora, V., Moreno, Y., Chavez, M. and Hwang, D. U. (2006). “Complex networks: structure and dynamics.” Physics Reports 424(4–5): 175308.CrossRefGoogle Scholar
Crucitti, P., Latora, V. and Marchiori, M. (2004). “A topological analysis of the Italian electric power grid.” Physica A: Statistical Mechanics and Its Applications 338(1–2): 9297.CrossRefGoogle Scholar
CST (2009). A national infrastructure for the 21st century. London, UK, Council for Science and Technology.Google Scholar
Dueñas-Osorio, L., Craig, J., Goodno, B. and Bostrom, A. (2007). “Interdependent response of networked systems.” Journal of Infrastructure Systems 13(3): 185194.CrossRefGoogle Scholar
Haider, A. (2013). Information systems for engineering and infrastructure asset management, Springer Gabler.CrossRefGoogle Scholar
Hudson, W. R., Hass, R. and Uddin, W. (1997). Infrastructure management: integrating design, construction, maintenance, rehabilitation and renovation. New York, NY, USA, McGraw-Hill.Google Scholar
Johansson, J. and Hassel, H. (2010). “An approach for modelling interdependent infrastructures in the context of vulnerability analysis.” Reliability Engineering & System Safety 95(12): 1335–1344.CrossRefGoogle Scholar
Kennedy-Walker, R., Holderness, T., Alderson, D., Evans, B. E. and Barr, S. L. (2014). Network modelling for road-based faecal sludge management. Proceedings of the Institution of Civil Engineers: Municipal Engineer, Institution of Civil Engineers/Thomas Telford.CrossRefGoogle Scholar
Mishkovski, I., Biey, M. and Kocarev, L. (2011). “Vulnerability of complex networks.” Communications in Nonlinear Science and Numerical Simulation 16(1): 341–349.CrossRefGoogle Scholar
Nastasie, D. L., Koronios, A. and Haider, A. (2010). Integration through standards – an overview of internal information standards for engineering assets. Definitions, concepts and scope of engineering asset management. Amadi-Echendu, J. E., Brown, K., Willett, R. and Mathew, J. (Eds.), London, Springer. 1: 239258.CrossRefGoogle Scholar
Obe, R. and Hsu, L. (2011). PostGIS in action. Greenwich, CT, USA, Manning Publications Co.Google Scholar
Otto, A., Hall, J. W., Hickford, A. J., Nicholls, R. J., Alderson, D. and Barr, S. (2014). “A quantified system-of-systems modelling framework for robust national infrastructure planning.” IEEE Systems Journal 99: 112.Google Scholar
Pant, R., Hall, J., Barr, S. and Alderson, D. (2014). Spatial risk analysis of interdependent infrastructures subjected to extreme hazards. Vulnerability, uncertainty, and risk: quantification, mitigation, and management. Beer, M., Au, S.-K. and Hall, J. W. (Eds.) ASCE: 677–686.Google Scholar
Pederson, P., Dudenhoeffer, D., Hartley, S. and Permann, M. (2006). Critical infrastructure interdependency modeling: a survey of US and international research. Idaho Falls, ID, USA, Idaho National Laboratory.Google Scholar
RAE (2011). Infrastructure, engineering and climate change adaptation – ensuring services in an uncertain future. Report written by the Royal Academy of Engineering on behalf of Engineering the Future.Google Scholar
Robson, C., Barr, S. L., James, P. and Ford, A. (2015). Spatially modelling dependent infrastructure networks. GISRUK 2015. Leeds, UK.Google Scholar
Rinaldi, S. M., Peerenboom, J. P. and Kelly, T. K. (2001). “Identifying, understanding, and analyzing critical infrastructure interdependencies.” Control Systems Magazine, IEEE 21(6): 1125.Google Scholar
Thacker, S., Pant, R., Hall, J. W., Barr, S. L. and Alderson, D. (2014). Building interdependent infrastructure networks and customer assignment models for understanding spatial demands. The future of national infrastructure systems and economic prosperity conference. Cambridge, UK.Google Scholar
Woodhouse, J. (2014). “Standards in asset management: PAS55 to ISO55000.” Infrastructure Asset Management 1(3): 5759.CrossRefGoogle Scholar

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