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A new method for managing multidimensional risks in Natural Gas Pipelines based on non-Expected Utility

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  • Medeiros, Cristina Pereira
  • da Silva, Lucas Borges Leal
  • Alencar, Marcelo Hazin
  • de Almeida, Adiel Teixeira

Abstract

Enhancing safety and maintaining profitable operations in various types of organizations, including in gas transmission and distribution companies, is a challenging task. Multidimensional risk analysis of Natural Gas Pipelines (NGP) has been carried out in decision-making in order to guide the decision-maker (DM) in managing resource allocation and prioritizing risks in pipeline sections. Although the Literature puts a spotlight on Expected Utility (EU) methods for assessing DM's preferences, the NGP problem is based on the probability of the occurrence of hazard scenarios being small, and yet there being high impacts when a failure occurs. That is why this paper proposes a new multidimensional model for assessing NGP risks: the MRDU model. To the best of our knowledge, there is an absence in the literature of studies on using non-Expected Utility (non-EU) methods. Non-EU is a new approach which is based on Utility Theory. Deviations of utilities are explored and this incorporates contributions from the Rank-Dependent Utility (RDU)-based risk approach. Relevant results are compared and an extensive sensitivity analysis is conducted. Results show that the risk approach based on non-EU gives greater support to the recommendations made to the DM with regard to prioritizing NGP sections.

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  • Medeiros, Cristina Pereira & da Silva, Lucas Borges Leal & Alencar, Marcelo Hazin & de Almeida, Adiel Teixeira, 2021. "A new method for managing multidimensional risks in Natural Gas Pipelines based on non-Expected Utility," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
  • Handle: RePEc:eee:reensy:v:214:y:2021:i:c:s0951832021002441
    DOI: 10.1016/j.ress.2021.107709
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    as
    1. Krawczyk, Michał Wiktor, 2015. "Probability weighting in different domains: The role of affect, fungibility, and stakes," Journal of Economic Psychology, Elsevier, vol. 51(C), pages 1-15.
    2. Adam Booij & Bernard Praag & Gijs Kuilen, 2010. "A parametric analysis of prospect theory’s functionals for the general population," Theory and Decision, Springer, vol. 68(1), pages 115-148, February.
    3. Michael H. Birnbaum, 2005. "Three New Tests of Independence That Differentiate Models of Risky Decision Making," Management Science, INFORMS, vol. 51(9), pages 1346-1358, September.
    4. Adam Oliver, 2003. "Testing rank‐dependent utility theory for health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 12(10), pages 863-871, October.
    5. Han Bleichrodt & Jose Luis Pinto, 2000. "A Parameter-Free Elicitation of the Probability Weighting Function in Medical Decision Analysis," Management Science, INFORMS, vol. 46(11), pages 1485-1496, November.
    6. Chen, Lihong & Ren, Jingzheng, 2018. "Multi-attribute sustainability evaluation of alternative aviation fuels based on fuzzy ANP and fuzzy grey relational analysis," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 176-186.
    7. Burgherr, Peter & Eckle, Petrissa & Hirschberg, Stefan, 2012. "Comparative assessment of severe accident risks in the coal, oil and natural gas chains," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 97-103.
    8. Shaw, W. Douglass & Woodward, Richard T., 2008. "Why environmental and resource economists should care about non-expected utility models," Resource and Energy Economics, Elsevier, vol. 30(1), pages 66-89, January.
    9. Peter Wakker & Daniel Deneffe, 1996. "Eliciting von Neumann-Morgenstern Utilities When Probabilities Are Distorted or Unknown," Management Science, INFORMS, vol. 42(8), pages 1131-1150, August.
    10. Gomes, Wellison J.S. & Beck, André T. & Haukaas, Terje, 2013. "Optimal inspection planning for onshore pipelines subject to external corrosion," Reliability Engineering and System Safety, Elsevier, vol. 118(C), pages 18-27.
    11. W. J. Wouter Botzen & Jeroen C.J.M. van den Bergh, 2009. "Bounded Rationality, Climate Risks, and Insurance: Is There a Market for Natural Disasters?," Land Economics, University of Wisconsin Press, vol. 85(2), pages 265-278.
    12. Joost M. E. Pennings & Ale Smidts, 2003. "The Shape of Utility Functions and Organizational Behavior," Management Science, INFORMS, vol. 49(9), pages 1251-1263, September.
    13. Adiel Teixeira de Almeida & Cristiano Alexandre Virgínio Cavalcante & Marcelo Hazin Alencar & Rodrigo José Pires Ferreira & Adiel Teixeira de Almeida-Filho & Thalles Vitelli Garcez, 2015. "Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis," International Series in Operations Research and Management Science, Springer, edition 127, number 978-3-319-17969-8, December.
    14. Dundulis, Gintautas & ŽutautaitÄ—, Inga & Janulionis, Remigijus & UÅ¡puras, Eugenijus & RimkeviÄ ius, Sigitas & Eid, Mohamed, 2016. "Integrated failure probability estimation based on structural integrity analysis and failure data: Natural gas pipeline case," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 195-202.
    15. Mohammed Abdellaoui & Ahmed Driouchi & Olivier L’Haridon, 2011. "Risk aversion elicitation: reconciling tractability and bias minimization," Theory and Decision, Springer, vol. 71(1), pages 63-80, July.
    16. Michael H. Birnbaum & Jeffrey P. Bahra, 2007. "Gain-Loss Separability and Coalescing in Risky Decision Making," Management Science, INFORMS, vol. 53(6), pages 1016-1028, June.
    17. Papadopoulou, Maria P. & Antoniou, Constantinos, 2014. "Environmental impact assessment methodological framework for liquefied natural gas terminal and transport network planning," Energy Policy, Elsevier, vol. 68(C), pages 306-319.
    18. Tavana, Madjid & Behzadian, Majid & Pirdashti, Mohsen & Pirdashti, Hasan, 2013. "A PROMETHEE-GDSS for oil and gas pipeline planning in the Caspian Sea basin," Energy Economics, Elsevier, vol. 36(C), pages 716-728.
    19. Gijs van de Kuilen & Peter P. Wakker, 2011. "The Midweight Method to Measure Attitudes Toward Risk and Ambiguity," Management Science, INFORMS, vol. 57(3), pages 582-598, March.
    20. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    21. Yu, Xuchao & Liang, Wei & Zhang, Laibin & Reniers, Genserik & Lu, Linlin, 2018. "Risk assessment of the maintenance process for onshore oil and gas transmission pipelines under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 50-67.
    22. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    23. Bertrand R. Munier, 2016. "On bespoke decision-aid under risk: the engineering behind preference elicitation," Post-Print halshs-02042799, HAL.
    24. Aven, Terje, 2016. "On the use of conservatism in risk assessments," Reliability Engineering and System Safety, Elsevier, vol. 146(C), pages 33-38.
    25. Kemel, Emmanuel & Paraschiv, Corina, 2013. "Prospect Theory for joint time and money consequences in risk and ambiguity," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 81-95.
    26. Golo-Friedrich Bauermeister & Daniel Hermann & Oliver Musshoff, 2018. "Consistency of determined risk attitudes and probability weightings across different elicitation methods," Theory and Decision, Springer, vol. 84(4), pages 627-644, June.
    27. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    28. Medeiros, C.P. & Alencar, M.H. & de Almeida, A.T., 2017. "Multidimensional risk evaluation of natural gas pipelines based on a multicriteria decision model using visualization tools and statistical tests for global sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 268-276.
    29. Aven, Terje & Kristensen, Vidar, 2019. "How the distinction between general knowledge and specific knowledge can improve the foundation and practice of risk assessment and risk-informed decision-making," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    30. Kontek, Krzysztof & Birnbaum, Michael H., 2019. "The impact of middle outcomes on lottery valuations," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 78(C), pages 30-44.
    31. Zhang, Y. & Weng, W.G., 2020. "Bayesian network model for buried gas pipeline failure analysis caused by corrosion and external interference," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    32. Horst Zank, 2001. "Cumulative Prospect Theory for Parametric and Multiattribute Utilities," Mathematics of Operations Research, INFORMS, vol. 26(1), pages 67-81, February.
    33. Marek Urbanik & Barbara Tchórzewska-Cieślak & Katarzyna Pietrucha-Urbanik, 2019. "Analysis of the Safety of Functioning Gas Pipelines in Terms of the Occurrence of Failures," Energies, MDPI, vol. 12(17), pages 1-13, August.
    34. Brito, Anderson J. & de Almeida, Adiel Teixeira & Mota, Caroline M.M., 2010. "A multicriteria model for risk sorting of natural gas pipelines based on ELECTRE TRI integrating Utility Theory," European Journal of Operational Research, Elsevier, vol. 200(3), pages 812-821, February.
    35. Liu, Aihua & Chen, Ke & Huang, Xiaofei & Li, Didi & Zhang, Xiaochun, 2021. "Dynamic risk assessment model of buried gas pipelines based on system dynamics," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    36. Brito, A.J. & de Almeida, A.T., 2009. "Multi-attribute risk assessment for risk ranking of natural gas pipelines," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 187-198.
    37. Mohammed Abdellaoui, 2000. "Parameter-Free Elicitation of Utility and Probability Weighting Functions," Management Science, INFORMS, vol. 46(11), pages 1497-1512, November.
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    2. Yang, Kai & Hou, Lei & Man, Jianfeng & Yu, Qiaoyan & Li, Yu & Zhang, Xinru & Liu, Jiaquan, 2023. "Supply reliability analysis of natural gas pipeline network based on demand-side economic loss risk," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    3. Yin, Yuanbo & Yang, Hao & Duan, Pengfei & Li, Luling & Zio, Enrico & Liu, Cuiwei & Li, Yuxing, 2022. "Improved quantitative risk assessment of a natural gas pipeline considering high-consequence areas," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    4. Wang, WuChang & Zhang, Yi & Li, YuXing & Hu, Qihui & Liu, Chengsong & Liu, Cuiwei, 2022. "Vulnerability analysis method based on risk assessment for gas transmission capabilities of natural gas pipeline networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).

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