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Network theory-based accident scenario analysis for hazardous material transport: A case study of liquefied petroleum gas transport in japan

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  • Noguchi, H.
  • Hienuki, S.
  • Fuse, M.

Abstract

To analyze an accident scenario involving the transport of hazardous material (HAZMAT), a complex accident process must be completely described; however, existing analytical approaches, which are influenced by the arbitrariness of a given analyst, may not cover the entire process. Thus, the aim of this study is to develop a new approach for analyzing accident scenarios associated with HAZMAT transport, using network theory as a key to illustrate the complex accident process. In the developed approach, accident scenarios are sampled from the accident processes by fusing the HAZMAT transport accident network and transport environmental factors, based on accident data. The proposed approach was applied to a case of Liquefied petroleum gas (LPG) transport by road in Japan. The case study identified 68,874 scenarios and classified the identified scenarios into three types of risk categories: 80 high-risk, 9,112 medium-risk, and 59,682 low-risk scenarios. It was observed that the scenarios identified could successfully help understand the complex accident processes in HAZMAT transport and incorporate the safety measures through the accident network. The proposed approach for accident scenario analysis can accelerate the risk assessment of HAZMAT transport and help advance risk assessment to risk management.

Suggested Citation

  • Noguchi, H. & Hienuki, S. & Fuse, M., 2020. "Network theory-based accident scenario analysis for hazardous material transport: A case study of liquefied petroleum gas transport in japan," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    • Handle: RePEc:eee:reensy:v:203:y:2020:i:c:s0951832020306086
    DOI: 10.1016/j.ress.2020.107107
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    References listed on IDEAS

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    1. Wang, Likun & Yang, Zaili, 2018. "Bayesian network modelling and analysis of accident severity in waterborne transportation: A case study in China," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 277-289.
    2. Paltrinieri, Nicola & Tugnoli, Alessandro & Cozzani, Valerio, 2015. "Hazard identification for innovative LNG regasification technologies," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 18-28.
    3. Vedat Verter & Bahar Y. Kara, 2008. "A Path-Based Approach for Hazmat Transport Network Design," Management Science, INFORMS, vol. 54(1), pages 29-40, January.
    4. Chen, Yuh-Wen & Wang, Chi-Hwang & Lin, Sain-Ju, 2008. "A multi-objective geographic information system for route selection of nuclear waste transport," Omega, Elsevier, vol. 36(3), pages 363-372, June.
    5. Zhang, Jianjun & Hodgson, John & Erkut, Erhan, 2000. "Using GIS to assess the risks of hazardous materials transport in networks," European Journal of Operational Research, Elsevier, vol. 121(2), pages 316-329, March.
    6. 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.
    7. J. Dorp & Jason Merrick, 2011. "On a risk management analysis of oil spill risk using maritime transportation system simulation," Annals of Operations Research, Springer, vol. 187(1), pages 249-277, July.
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