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Infrastructure interdependencies simulation through matrix partitioning technique

Author

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  • Hafiz Abdur Rahman
  • Mazana Armstrong
  • Jose R. Marti
  • K.D. Srivastava

Abstract

In recent years, there has been considerable interest in modelling and simulating interdependencies among critical infrastructures. For most cases, agent-based frameworks are employed for these types of simulation. In this paper, we present a new approach for interdependencies simulation that we have used in the infrastructures interdependencies simulator (I2Sim). I2Sim implementation is based on the matrix partitioning technique named multi-area Thevenin equivalent (MATE). The MATE model has been used for large-scale real-time power system simulation and is an efficient alternative to the existing agent-based critical infrastructure simulation frameworks. Another distinguishing feature of I2Sim is that, it is based on a cell-channel model where interdependencies among different infrastructures can be represented through a formal technique based on the extension of Leontief input-output model. In this paper, we present the implementation architecture of I2Sim. We also discuss some simulation results to show the usefulness of our approach.

Suggested Citation

  • Hafiz Abdur Rahman & Mazana Armstrong & Jose R. Marti & K.D. Srivastava, 2011. "Infrastructure interdependencies simulation through matrix partitioning technique," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 7(2), pages 91-116.
    • Handle: RePEc:ids:ijcist:v:7:y:2011:i:2:p:91-116
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    Cited by:

    1. Samiul Hasan & Greg Foliente, 2015. "Modeling infrastructure system interdependencies and socioeconomic impacts of failure in extreme events: emerging R&D challenges," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(3), pages 2143-2168, September.
    2. Bhandari, Pratik & Creighton, Douglas & Gong, Jinzhe & Boyle, Carol & Law, Kris M.Y., 2023. "Evolution of cyber-physical-human water systems: Challenges and gaps," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

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