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Evaluation of tunnel safety: towards an economic safety optimum

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  • Arends, B.J.
  • Jonkman, S.N.
  • Vrijling, J.K.
  • van Gelder, P.H.A.J.M

Abstract

The aim of this paper is to propose a method for the evaluation of tunnel safety using probabilistic risk assessment. The framework includes three criteria; personal-, societal- and economic risk. The use of personal and societal risk is becoming more and more widespread. There are however, still some difficulties in using the economic risk criterion. As a first step towards economic risk optimisation, the cost effectiveness of addition and removal of safety measures in tunnels is investigated. Finally, the application of the three proposed criteria is further discussed for some tunnelling projects currently underway in the Netherlands.

Suggested Citation

  • Arends, B.J. & Jonkman, S.N. & Vrijling, J.K. & van Gelder, P.H.A.J.M, 2005. "Evaluation of tunnel safety: towards an economic safety optimum," Reliability Engineering and System Safety, Elsevier, vol. 90(2), pages 217-228.
    • Handle: RePEc:eee:reensy:v:90:y:2005:i:2:p:217-228
    DOI: 10.1016/j.ress.2005.01.007
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    References listed on IDEAS

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    1. Georges Dionne & Paul Lanoie, 2004. "Public Choice about the Value of a Statistical Life for Cost-Benefit Analyses: The Case of Road Safety," Journal of Transport Economics and Policy, University of Bath, vol. 38(2), pages 247-274, May.
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    Cited by:

    1. Qiang Meng & Xiaobo Qu & Kum Thong Yong & Yoke Heng Wong, 2011. "QRA Model‐Based Risk Impact Analysis of Traffic Flow in Urban Road Tunnels," Risk Analysis, John Wiley & Sons, vol. 31(12), pages 1872-1882, December.
    2. Kasai, Naoya & Matsuhashi, Shigemi & Sekine, Kazuyoshi, 2013. "Accident occurrence model for the risk analysis of industrialfacilities," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 71-74.
    3. Hu, Shenping & Fang, Quangen & Xia, Haibo & Xi, Yongtao, 2007. "Formal safety assessment based on relative risks model in ship navigation," Reliability Engineering and System Safety, Elsevier, vol. 92(3), pages 369-377.
    4. Qingfu Li & Zhuangzhuang Luo & Guanming Zhao & Mengyuan Wang, 2023. "Durability Evaluation of Hydraulic Tunnel Lining Structure Based on Set Pair Analysis and Extension Coupling Model," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    5. Wang, Ying & Zhang, Limao, 2021. "Simulation-based optimization for modeling and mitigating tunnel-induced damages," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    6. Yang, Chunhe & Jing, Wenjun & Daemen, J.J.K. & Zhang, Guimin & Du, Chao, 2013. "Analysis of major risks associated with hydrocarbon storage caverns in bedded salt rock," Reliability Engineering and System Safety, Elsevier, vol. 113(C), pages 94-111.
    7. Liujie Zhu & Changsheng Wang & Chuangshi Fan & Qingfu Li, 2023. "Evaluation of Hydraulic Tunnel Lining Durability Based on Entropy–G2 and Gray Correlation–TOPSIS Methods," Sustainability, MDPI, vol. 15(17), pages 1-17, September.
    8. Qiang Meng & Xiaobo Qu & Xinchang Wang & Vivi Yuanita & Siew Chee Wong, 2011. "Quantitative Risk Assessment Modeling for Nonhomogeneous Urban Road Tunnels," Risk Analysis, John Wiley & Sons, vol. 31(3), pages 382-403, March.
    9. Qingfu Li & Chuangshi Fan, 2022. "Evaluation of Hydraulic-Tunnel-Lining Durability Based on ANP and Cloud-Model-Improved Matter–Element Theory," Sustainability, MDPI, vol. 14(19), pages 1-22, September.

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