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Object-oriented model of the seismic vulnerability of the fuel distribution network in coastal British Columbia

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  • Costa, Rodrigo
  • Haukaas, Terje
  • Chang, Stephanie E.
  • Dowlatabadi, Hadi

Abstract

An agent-based object-oriented model for the fuel distribution network in coastal British Columbia in Canada is presented. Objects representing infrastructure components with varied attributes and behaviors are described together with objects representing transportation modes on land and on water. A novel feature of the modeling approach is its capacity to represent the diverse nature of the objects in a network. Another novelty of the approach is its capacity to simulate discrete deliveries based on requests, which is a requirement in the modeling of the considered fuel distribution network. This paper presents the software architecture and applies it to assess the probability of fuel shortages following an earthquake for six storage facilities in coastal British Columbia. The results of this assessment can be used to inform emergency response plans.

Suggested Citation

  • Costa, Rodrigo & Haukaas, Terje & Chang, Stephanie E. & Dowlatabadi, Hadi, 2019. "Object-oriented model of the seismic vulnerability of the fuel distribution network in coastal British Columbia," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 11-23.
    • Handle: RePEc:eee:reensy:v:186:y:2019:i:c:p:11-23
    DOI: 10.1016/j.ress.2019.02.006
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    References listed on IDEAS

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    1. Francesco Cavalieri & Paolo Franchin & Pierre Gehl & Dina D’Ayala, 2017. "Bayesian Networks and Infrastructure Systems: Computational and Methodological Challenges," Springer Series in Reliability Engineering, in: Paolo Gardoni (ed.), Risk and Reliability Analysis: Theory and Applications, pages 385-415, Springer.
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    6. Eusgeld, Irene & Kröger, Wolfgang & Sansavini, Giovanni & Schläpfer, Markus & Zio, Enrico, 2009. "The role of network theory and object-oriented modeling within a framework for the vulnerability analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 94(5), pages 954-963.
    7. Holguín-Veras, José & Taniguchi, Eiichi & Jaller, Miguel & Aros-Vera, Felipe & Ferreira, Frederico & Thompson, Russell G., 2014. "The Tohoku disasters: Chief lessons concerning the post disaster humanitarian logistics response and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 86-104.
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    Cited by:

    1. Moradi, Ramin & Groth, Katrina M., 2020. "Modernizing risk assessment: A systematic integration of PRA and PHM techniques," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    2. Taghizadeh, Mehdi & Mahsuli, Mojtaba & Poorzahedy, Hossain, 2023. "Probabilistic framework for evaluating the seismic resilience of transportation systems during emergency medical response," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    3. Goerlandt, Floris & Islam, Samsul, 2021. "A Bayesian Network risk model for estimating coastal maritime transportation delays following an earthquake in British Columbia," Reliability Engineering and System Safety, Elsevier, vol. 214(C).

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