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A generalized modeling framework to analyze interdependencies among infrastructure systems

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  • Zhang, Pengcheng
  • Peeta, Srinivas

Abstract

Extreme events over the past decade in the USA, ranging from the 9/11 terror attacks to the 2003 Northeast power blackout to the 2005 hurricanes, have highlighted the urgent need to understand the interdependencies among civil infrastructure systems for more effective and efficient planning, design and operations. The need is further highlighted by the challenges arising from the capacity needs of rapid urbanization and the need to renew aging infrastructure. This paper proposes a generalized modeling framework that combines a multilayer network concept with a market-based economic approach to capture the interdependencies among various infrastructure systems with disparate physical and operational characteristics. Thereby, the various infrastructure systems are modeled as individual networks connected through links representing market interactions. The market interactions capture the various types of interdependencies through supply-demand mechanisms. The modeling framework uses a multilayer infrastructure network (MIN) concept, the computable general equilibrium (CGE) theory, and its spatial extension (SCGE), to formulate an equilibrium problem. The mapping between the modeling framework and the real-world context is discussed, followed by a description of the various model components. Numerical experiments are conducted to illustrate the capability of the model to capture various types of interdependencies and to provide insights on the importance of these interdependencies for real-world problems.

Suggested Citation

  • Zhang, Pengcheng & Peeta, Srinivas, 2011. "A generalized modeling framework to analyze interdependencies among infrastructure systems," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 553-579, March.
  • Handle: RePEc:eee:transb:v:45:y:2011:i:3:p:553-579
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    References listed on IDEAS

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    Cited by:

    1. Carlos Adriàn Romero & Omar Osvaldo Chisari & Leonardo Javier Mastronardi & Arturo Leonardo Vásquez Cordano, 2015. "The cost of failing to prevent gas supply interruption: A CGE assessment for Peru," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2015(2), pages 131-148.
    2. Wang, Shuliang & Hong, Liu & Chen, Xueguang, 2012. "Vulnerability analysis of interdependent infrastructure systems: A methodological framework," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3323-3335.
    3. 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.
    4. Zhang, C. & Liu, X. & Jiang, YP. & Fan, B. & Song, X., 2016. "A two-stage resource allocation model for lifeline systems quick response with vulnerability analysis," European Journal of Operational Research, Elsevier, vol. 250(3), pages 855-864.
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    6. Jing-Li Fan & Qiao-Mei Liang & Xiao-Jie Liang & Hirokazu Tatano & Yoshio Kajitani & Yi-Ming Wei, 2014. "National vulnerability to extreme climatic events: the cases of electricity disruption in China and Japan," 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. 71(3), pages 1937-1956, April.
    7. repec:eee:reensy:v:142:y:2015:i:c:p:248-257 is not listed on IDEAS
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    9. Zhang, Pengcheng & Peeta, Srinivas, 2014. "Dynamic and disequilibrium analysis of interdependent infrastructure systems," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 357-381.
    10. Chopra, Shauhrat S. & Khanna, Vikas, 2015. "Interconnectedness and interdependencies of critical infrastructures in the US economy: Implications for resilience," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 865-877.
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    12. Tsekeris, Theodore, 2014. "Multi-sectoral interdependencies of regional public infrastructure investments," Socio-Economic Planning Sciences, Elsevier, vol. 48(4), pages 263-272.
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    17. repec:eee:reensy:v:167:y:2017:i:c:p:30-41 is not listed on IDEAS
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    19. Zhang, Jianhua & Song, Bo & Zhang, Zhaojun & Liu, Haikuan, 2014. "An approach for modeling vulnerability of the network of networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 412(C), pages 127-136.
    20. Baroud, Hiba & Barker, Kash & Ramirez-Marquez, Jose E. & Rocco S., Claudio M., 2014. "Importance measures for inland waterway network resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 55-67.

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