Incorporating the Human Factor in Modeling Interdependent Infrastructure Systems
Publication: Construction Research Congress 2022
ABSTRACT
The behavior of critical infrastructure systems (CISs) greatly depends on the performance and reliability of the human agents that interact with the CISs. To accurately assess and predict the behavior of interdependent CISs, interdependent CISs models must not only consider the heterogeneities and interdependencies of the systems, but also the human factor. Previous studies focused on developing interdependent CISs models that only consider the technical factor. In this study, a framework for incorporating the human factor in the modeling of interdependent CISs is proposed, one that can integrate the knowledge, data, and simulation tools of CISs and humans from various domains. Domain-specific CIS models and human performance models are co-simulated to capture systemic heterogeneities and the complex dynamic system–system and human–system interactions. A case study of two interdependent power system and water system is presented to reveal the influence of considering the human factors on the behavior and performance of interdependent CISs.
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REFERENCES
Bao, Y., C. Guo, J. Zhang, J. Wu, S. Pang, and Z. Zhang. (2018). “Impact analysis of human factors on power system operation reliability.” Journal of Modern Power Systems and Clean Energy 6(1): 27–39.
Buddaraju, D. (2011). Performance of control room operators in alarm management. Master’s Thesis, Louisiana State University.
Chang, S. E., H. A. Seligson, and R. T. Eguchi. (1996). Estimation of the Economic Impact of Multiple Lifeline Disruption : Memphis Light, Gas and Water Division Case Study. : 1-7.
Endsley, M. R. (1995). “Toward a Theory of Situation Awareness in Dynamic Systems.” Human Factors 37(1): 32–64.
Hollnagel, E. (1998). Chapter 6 - CREAM — A Second Generation HRA Method. Cognitive Reliability and Error Analysis Method (CREAM). E. Hollnagel. Oxford, Elsevier Science Ltd: 151–190.
IEEE. (2010). IEEE Standard for Modeling and Simulation: High Level Architecture (HLA)-- Framework and Rules. IEEE Std 1516-2010 (Revision of IEEE Std 1516-2000): 1-38.
Liu, P., Y. Qiu, J. Hu, J. Tong, J. Zhao, and Z. Li. (2020). “Expert judgments for performance shaping Factors’ multiplier design in human reliability analysis.” Reliability Engineering & System Safety 194: 106343.
Magoua, J. J., F. Wang, and N. Li. (2021). “High Level Architecture-Based Framework for Modeling Interdependent Critical Infrastructure Systems.” Reliability Engineering & System Safety (under re-review).
Nan, C., and G. Sansavini. (2016). “Developing an agent-based hierarchical modeling approach to assess human performance of infrastructure systems.” International Journal of Industrial Ergonomics 53: 340–354.
Ouyang, M. (2014). “Review on modeling and simulation of interdependent critical infrastructure systems.” Reliability Engineering & System Safety 121: 43–60.
Rinaldi, S. M., J. P. Peerenboom, and T. K. Kelly. (2001). “Identifying, understanding, and analyzing critical infrastructure interdependencies.” IEEE Control Systems Magazine 21(6): 11–25.
Schläpfer, M., T. Kessler, and W. Kröger. (2012). Reliability Analysis of Electric Power Systems Using an Object-oriented Hybrid Modeling Approach. 16th Power Systems Computation Conference, Glasgow, Scotland.
Wang, Z., M. Rahnamay-Naeini, J. M. Abreu, R. A. Shuvro, P. Das, A. A. Mammoli, N. Ghani, and M. M. Hayat. (2018). “Impacts of Operators’ Behavior on Reliability of Power Grids During Cascading Failures.” IEEE Transactions on Power Systems 33(6): 6013–6024.
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Construction Research Congress 2022
Pages: 346 - 356
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Published online: Mar 7, 2022
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