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A policy making framework for resilient port infrastructure systems

Author

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  • Mansouri, Mo
  • Nilchiani, Roshanak
  • Mostashari, Ali

Abstract

This research is an effort to develop a Risk Management-based Decision Analysis (RMDA) framework based on the common fundamental elements that define the nature of resilience in Port Infrastructure Systems (PIS). While developing a systematic process for making strategic and investment decisions, RMDA guides the decision-makers to identify, analyze, and prioritize risks involved in PIS operations; to define ways for risk mitigation, plan for contingencies, and devise mechanisms for continuously monitoring and controlling risk factors and threats to the system; and to value the adopted resilience investment plans and strategies. Our suggested RMDA framework is a policy making tool that utilizes a Decision Tree Analysis (DTA) methodology for assessing the cost-effectiveness of the devised strategies.

Suggested Citation

  • Mansouri, Mo & Nilchiani, Roshanak & Mostashari, Ali, 2010. "A policy making framework for resilient port infrastructure systems," Marine Policy, Elsevier, vol. 34(6), pages 1125-1134, November.
    • Handle: RePEc:eee:marpol:v:34:y:2010:i:6:p:1125-1134
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    Citations

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    Cited by:

    1. Jasper Verschuur & Raghav Pant & Elco Koks & Jim Hall, 2022. "A systemic risk framework to improve the resilience of port and supply-chain networks to natural hazards," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(3), pages 489-506, September.
    2. Ya Xu & Yuquan Du & Yongjian Li & Heng Zhang, 2021. "Collaborative emergency berth scheduling based on decentralized decision and price mechanism," Annals of Operations Research, Springer, vol. 298(1), pages 525-554, March.
    3. Wang, Nanxi & Wu, Min & Yuen, Kum Fai, 2023. "Assessment of port resilience using Bayesian network: A study of strategies to enhance readiness and response capacities," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    4. Zhang, Yi & Lam, Jasmine Siu Lee, 2016. "Estimating economic losses of industry clusters due to port disruptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 17-33.
    5. Al-Mutairi, Ayedh & AlKheder, Sharaf & Alzwayid, Shaikhah & Talib, Dalal & Heji, Mariam Bn & Lambert, James H., 2022. "Scenario-based preferences modeling to investigate port initiatives resilience," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    6. Laurie Richmond & Robert Dumouchel & Henry Pontarelli & Laura Casali & Wyatt Smith & Kathryn Gillick & Pamela Godde & Michelle Dowling & Alyssa Suarez, 2019. "Fishing Community Sustainability Planning: A Roadmap and Examples from the California Coast," Sustainability, MDPI, vol. 11(7), pages 1-22, March.
    7. Ioanna Ioannou & Jaime E. Cadena & Willy Aspinall & David Lange & Daniel Honfi & Tiziana Rossetto, 2022. "Prioritization of hazards for risk and resilience management through elicitation of expert judgement," 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. 112(3), pages 2773-2795, July.
    8. Zhen, Lu & Lin, Shumin & Zhou, Chenhao, 2022. "Green port oriented resilience improvement for traffic-power coupled networks," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    9. Kuznetsov, Andrei & Dinwoodie, John & Gibbs, David & Sansom, Mark & Knowles, Harriet, 2015. "Towards a sustainability management system for smaller ports," Marine Policy, Elsevier, vol. 54(C), pages 59-68.
    10. Stephen J. Ramos, 2021. "Materiality in the Seam Space: Sketches for a Transitional Port City Dome District," Urban Planning, Cogitatio Press, vol. 6(3), pages 210-222.
    11. Hossain, Niamat Ullah Ibne & Nur, Farjana & Hosseini, Seyedmohsen & Jaradat, Raed & Marufuzzaman, Mohammad & Puryear, Stephen M., 2019. "A Bayesian network based approach for modeling and assessing resilience: A case study of a full service deep water port," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 378-396.
    12. Suleiman Hassan Otuoze & Dexter V. L. Hunt & Ian Jefferson, 2021. "Neural Network Approach to Modelling Transport System Resilience for Major Cities: Case Studies of Lagos and Kano (Nigeria)," Sustainability, MDPI, vol. 13(3), pages 1-20, January.

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