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A method to assess multi-modal Hazmat transport security vulnerabilities: Hazmat transport SVA

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  • Reniers, G.L.L.
  • Dullaert, W.

Abstract

The suggested Hazmat transport Security Vulnerability Assessment (SVA) methodology presents a user-friendly approach to determine relative security risk levels of the different modes of hazardous freight transport (i.e., road, railway, inland waterways and pipeline transportation). First, transport routes are divided into smaller route segments. Second, likelihood scores of security-related accidents in which dangerous freight is involved and possibly causing fatalities in the surrounding population, are determined per route segment. Third, the consequences of accident scenarios (using reference products and spatial plans) are calculated in terms of the number of people within the 1% lethality distance of the accident center. Fourth, using these likelihood scores and consequence figures, transport route security risk levels are determined. Fifth, transshipment risks are considered for determining the final transport route security risk levels. This leads to a multi-modal user-friendly security threat assessment tool which can be used by policy makers as well as by industrialists (shippers or Logistics Service Providers). The generic method allows for comparing the security risk levels of the different route segments and routes of transportation of hazardous goods and for taking countermeasures from a uni-modal as well as from a multi-modal perspective.

Suggested Citation

  • Reniers, G.L.L. & Dullaert, W., 2013. "A method to assess multi-modal Hazmat transport security vulnerabilities: Hazmat transport SVA," Transport Policy, Elsevier, vol. 28(C), pages 103-113.
  • Handle: RePEc:eee:trapol:v:28:y:2013:i:c:p:103-113
    DOI: 10.1016/j.tranpol.2012.05.002
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    References listed on IDEAS

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    Cited by:

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    2. Shahrzad Faghih-Roohi & Yew-Soon Ong & Sobhan Asian & Allan N. Zhang, 2016. "Dynamic conditional value-at-risk model for routing and scheduling of hazardous material transportation networks," Annals of Operations Research, Springer, vol. 247(2), pages 715-734, December.
    3. Hong, Wei-Ting & Clifton, Geoffrey & Nelson, John D., 2024. "A data-driven conceptual framework for understanding the nature of hazards in railway accidents," Transport Policy, Elsevier, vol. 152(C), pages 102-117.
    4. Elifcan Göçmen & Rızvan Erol, 2018. "The Problem of Sustainable Intermodal Transportation: A Case Study of an International Logistics Company, Turkey," Sustainability, MDPI, vol. 10(11), pages 1-16, November.
    5. Ditta, A. & Figueroa, O. & Galindo, G. & Yie-Pinedo, R., 2019. "A review on research in transportation of hazardous materials," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    6. Didier Soto & Florent Renard, 2015. "New prospects for the spatialisation of technological risks by combining hazard and the vulnerability of assets," 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. 79(3), pages 1531-1548, December.
    7. Shuxia Li & Yuedan Zu & Huimin Fang & Liping Liu & Tijun Fan, 2021. "Design Optimization of a HAZMAT Multimodal Hub-and-Spoke Network with Detour," IJERPH, MDPI, vol. 18(23), pages 1-18, November.

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