A Review of a Socio-Technical System Approach for Interdependent Infrastructure Systems Resilience Analysis: Present Status and Future Trends
Publication: Construction Research Congress 2022
ABSTRACT
Interdependency between infrastructure increases the possibility of catastrophic events by amplifying the impact of small-scale initial failure, which has a significant effect on the resilience of the infrastructure system. While there has been a bunch of research trying to identify and simulate interdependency between or inside infrastructure systems, the effect of human behavior on system resilience has not received much attention until recent years. In this paper, a comprehensive literature review on interdependent infrastructure systems resilience analysis has been conducted from a socio-technical perspective. Results show while the interdependency between social and physical systems is not as clearly defined as that inside each system, there appear two types of interactions in terms of human’s role in the whole system: the service object and the decision-maker. As for methodology applied, most existing research still spends effort on building frameworks and indicators to discuss how to integrate social aspects into the resilience analysis process, while quantitative approaches are still few used. Detailed topics and methodology applied have been discussed, based on which we propose open issues and directions for future work along with human involved interdependent infrastructure system resilience analysis.
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REFERENCES
Bruneau, M., Chang, S. E., Eguchi, R. T., Lee, G. C., O’Rourke, T. D., Reinhorn, A. M., Shinozuka, M., Tierney, K., Wallace, W. A., and Von Winterfeldt, D. (2003). A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake Spectra, 19(4), 733–752.
Curt, C., and Tacnet, J. M. (2018). The resilience of critical infrastructures: Review and analysis of current approaches. Risk Analysis, 38(11), 2441–2458.
Cimellaro, G. P., Reinhorn, A. M., and Bruneau, M. (2010). Framework for analytical quantification of disaster resilience. Engineering structures, 32(11), 3639–3649.
Chou, J. S., and Ongkowijoyo, C. S. (2019). Hybrid decision-making method for assessing interdependency and priority of critical infrastructure. International Journal of Disaster Risk Reduction, 39, 101134.
Farahmand, H., Dong, S., Mostafavi, A., Berke, P. R., Woodruff, S. C., Hannibal, B., and Vedlitz, A. (2020). Institutional congruence for resilience management in interdependent infrastructure systems. International Journal of Disaster Risk Reduction, 46, 101515.
Francis, R., and Bekera, B. (2014). A metric and frameworks for resilience analysis of engineered and infrastructure systems. Reliability Engineering & System Safety, 121, 90–103.
Ganin, A. A., Massaro, E., Gutfraind, A., Steen, N., Keisler, J. M., Kott, A., Mangoubi, R., and Linkov, I. (2016). Operational resilience: concepts, design, and analysis. Scientific reports, 6(1), 1–12.
Kammouh, O., Zamani Noori, A., Cimellaro, G. P., and Mahin, S. A. (2019). Resilience assessment of urban communities. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 5(1), 04019002.
Khorram-Manesh, A. (2020). Flexible surge capacity–public health, public education, and disaster management. Health Promot, 10(3), 2.
Kong, J., Simonovic, S. P., and Zhang, C. (2019). Sequential hazards resilience of interdependent infrastructure system: A case study of Greater Toronto Area energy infrastructure system. Risk Analysis, 39(5), 1141–1168.
Kull, T. J., Ellis, S. C., and Narasimhan, R. (2013). Reducing behavioral constraints to supplier integration: A socio‐technical systems perspective. Journal of Supply Chain Management, 49(1), 64–86.
Li, Q., Dong, S., and Mostafavi, A. (2019). Modeling of inter-organizational coordination dynamics in resilience planning of infrastructure systems: A multilayer network simulation framework. PloS one, 14(11), e0224522.
Li, Y., and Ji, W. (2021). Robustness of Stakeholder Response Networks for Infrastructure System Protection. Journal of Management in Engineering, 37(6), 04021063.
Mao, Q., and Li, N. (2018). Assessment of the impact of interdependencies on the resilience of networked critical infrastructure systems. Natural hazards, 93(1), 315–337.
Nowell, B., Steelman, T., Velez, A. L. K., and Yang, Z. (2018). The structure of effective governance of disaster response networks: Insights from the field. The American Review of Public Administration, 48(7), 699–715.
Nozhati, S., Ellingwood, B. R., and Chong, E. K. (2020). Stochastic optimal control methodologies in risk-informed community resilience planning. Structural Safety, 84, 101920.
Ottens, M., Franssen, M., Kroes, P., and Van De Poel, I. (2006). Modeling infrastructures as socio-technical systems. International journal of critical infrastructures, 2(2-3), 133–145.
Ouyang, M. (2014). Review on modeling and simulation of interdependent critical infrastructure systems. Reliability Engineering & System safety, 121, 43–60.
Ouyang, M., and Duenas-Osorio, L. (2014). Multi-dimensional hurricane resilience assessment of electric power systems. Structural Safety, 48, 15–24.
Ouyang, M., and Wang, Z. (2015). Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis. Reliability Engineering & System Safety, 141, 74–82.
Panteli, M., Mancarella, P., Trakas, D. N., Kyriakides, E., and Hatziargyriou, N. D. (2017). Metrics and quantification of operational and infrastructure resilience in power systems. IEEE Transactions on Power Systems, 32(6), 4732–4742.
Petit, F., Verner, D., Phillips, J., and Lewis, L. P. (2018). Critical Infrastructure Protection and Resilience—Integrating Interdependencies. In Security by Design (pp. 193–219). Springer, Cham.
Rand, K., Kurth, M., Fleming, C. H., and Linkov, I. (2020). A resilience matrix approach for measuring and mitigating disaster-induced population displacement. International journal of disaster risk reduction, 42, 101310.
Rehak, D. (2020). Assessing and strengthening organizational resilience in a critical infrastructure system: A case study of the Slovak Republic. Safety Science, 123, 104573.
Rus, K., Kilar, V., and Koren, D. (2018). Resilience assessment of complex urban systems to natural disasters: A new literature review. International journal of disaster risk reduction, 31, 311–330.
Schöttl, F., and U. Lindemann. 2015. “Quantifying the Complexity of Socio-Technical Systems-A Generic, Interdisciplinary Approach.” Procedia Computer Science 44 (C): 1–10.
Stewart, G. T., Kolluru, R., and Smith, M. (2009). Leveraging public‐private partnerships to improve community resilience in times of disaster. International Journal of Physical Distribution & Logistics Management.
Storesund, K., Reitan, N. K., Sjöström, J., Rød, B., Guay, F., Almeida, R., and Theocharidou, M. (2018). Novel methodologies for analysing critical infrastructure resilience. In 28th International European Safety and Reliability Conference.
Solver, F. (2010). Premium solver platform. User Guide, Frontline Systems.
Tang, J., and Heinimann, H. R. (2018). A resilience-oriented approach for quantitatively assessing recurrent spatial-temporal congestion on urban roads. PloS one, 13(1), e0190616.
Tamvakis, P., and Xenidis, Y. (2013). Comparative evaluation of resilience quantification methods for infrastructure systems. Procedia-Social and Behavioral Sciences, 74, 339–348.
The White House. (2013), Presidential policy directive – critical infrastructure security and resilience.
Thomas, J. E., Eisenberg, D. A., Seager, T. P., and Fisher, E. (2019). A resilience engineering approach to integrating human and socio-technical system capacities and processes for national infrastructure resilience. Journal of Homeland Security and Emergency Management, 16(2).
Valcamonico, D., Sansavini, G., and Zio, E. (2020). Cooperative co-evolutionary approach to optimize recovery for improving resilience in multi-communities. Reliability Engineering & System Safety, 197, 106800.
Van der Merwe, S. E., Biggs, R., and Preiser, R. (2018). A framework for conceptualizing and assessing the resilience of essential services produced by socio-technical systems. Ecology and Society, 23(2).
Yu, J. Z., and Baroud, H. (2020). Modeling uncertain and dynamic interdependencies of infrastructure systems using stochastic block models. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 6(2), 020906.
Zhang, D. M., Du, F., Huang, H., Zhang, F., Ayyub, B. M., and Beer, M. (2018). Resiliency assessment of urban rail transit networks: Shanghai metro as an example. Safety Science, 106, 230–243.
Zhao, C., and Fang, D. A Conceptual Model for Urban Interdependent Technical and Social Infrastructure Systems. In Construction Research Congress 2018 (pp. 722–731).
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Published online: Mar 7, 2022
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