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Cost-effectiveness criteria for marine oil spill preventive measures

Author

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  • Vanem, Erik
  • Endresen, Øyvind
  • Skjong, Rolf

Abstract

Oil tanker accidents resulting in large quantities of oil spills and severe pollution have occurred in the past, leading to major public attention and an international focus on finding solutions for minimising the risks related to such events. This paper proposes a novel approach for evaluating measures for prevention and control of marine oil spills, based on considerations of oil spill risk and cost effectiveness. A cost model that incorporates all costs of a shipping accident has been established and oil tanker spill accidents have been further elaborated as a special case of such accidents. Utilising this model, novel implementation criteria, in terms of the Cost of Averting a Tonne of oil Spilt (CATS), for risk control options aiming at mitigating the environmental risk of accidental oil spills, are proposed. The paper presents a review of previous studies on the costs associated with oil spills from shipping, which is a function of many factors such as location of spill, spill amount, type of oil, etc. However, ships are designed for global trade, transporting different oil qualities. Therefore, globally applicable criteria must average over most of these factors, and the spill amount is the remaining factor that will be used to measure cost effectiveness against. A weighted, global average cleanup cost of USD 16,000/tonne of oil spilt has been calculated, considering the distribution of oil tanker traffic densities. Finally, the criteria are compared with some existing regulations for oil spill prevention, response and compensation (OPA 90).

Suggested Citation

  • Vanem, Erik & Endresen, Øyvind & Skjong, Rolf, 2008. "Cost-effectiveness criteria for marine oil spill preventive measures," Reliability Engineering and System Safety, Elsevier, vol. 93(9), pages 1354-1368.
  • Handle: RePEc:eee:reensy:v:93:y:2008:i:9:p:1354-1368
    DOI: 10.1016/j.ress.2007.07.008
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    References listed on IDEAS

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    1. Xin Liu & Kai W. Wirtz, 2006. "Total oil spill costs and compensations," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(1), pages 49-60, February.
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    Cited by:

    1. Martins, Marcelo Ramos & Maturana, Marcos Coelho, 2013. "Application of Bayesian Belief networks to the human reliability analysis of an oil tanker operation focusing on collision accidents," Reliability Engineering and System Safety, Elsevier, vol. 110(C), pages 89-109.
    2. Hristos Karahalios & Z.L. Yang & J. Wang, 2015. "A risk appraisal system regarding the implementation of maritime regulations by a ship operator," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(4), pages 389-413, May.
    3. HÃ¥vold, Jon Ivar, 2010. "Safety culture and safety management aboard tankers," Reliability Engineering and System Safety, Elsevier, vol. 95(5), pages 511-519.
    4. Ayouqi, Hossein & Knowler, Duncan & Reid, Gregor & Cox, Sean, 2021. "Marginal damage cost functions for particulate organic carbon loading from open-net pen salmon farms in British Columbia, Canada," Ecological Economics, Elsevier, vol. 179(C).
    5. Verma, Manish & Gendreau, Michel & Laporte, Gilbert, 2013. "Optimal location and capability of oil-spill response facilities for the south coast of Newfoundland," Omega, Elsevier, vol. 41(5), pages 856-867.
    6. Iliopoulou, Christina & Kepaptsoglou, Konstantinos & Schinas, Orestis, 2018. "Energy supply security for the Aegean islands: A routing model with risk and environmental considerations," Energy Policy, Elsevier, vol. 113(C), pages 608-620.
    7. Atiq W. Siddiqui & Manish Verma, 2018. "Assessing risk in the intercontinental transportation of crude oil," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(2), pages 280-299, June.
    8. Krata, Przemyslaw & Jachowski, Jacek, 2021. "Towards a modification of a regulatory framework aiming at bunker oil spill prevention from ships – A design aspect of bunker tanks vents location guided by CFD simulations," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    9. Xi Du & Zhijiao Zhang & Lei Dong & Jing Liu & Alistair G. L. Borthwick & Renzhi Liu, 2017. "Acceptable Risk Analysis for Abrupt Environmental Pollution Accidents in Zhangjiakou City, China," IJERPH, MDPI, vol. 14(4), pages 1-13, April.
    10. Lei Wang & Qing Liu & Tongle Yin, 2018. "Decision-making of investment in navigation safety improving schemes with application of cumulative prospect theory," Journal of Risk and Reliability, , vol. 232(6), pages 710-724, December.
    11. Xingwei Zhen & Torgeir Moan & Zhen Gao & Yi Huang, 2018. "Risk Assessment and Reduction for an Innovative Subsurface Well Completion System," Energies, MDPI, vol. 11(5), pages 1-19, May.

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