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A support tool for identifying evaluation issues of road safety measures

Author

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  • Jagtman, H.M.
  • Hale, A.R.
  • Heijer, T.

Abstract

The introduction of new technologies in traffic produces a range of unknown deviations in the desired traffic process. These developments require additional ex-ante assessment procedures for measures which will be implemented in the traffic system. In this paper, the HAZOP methodology is applied to road traffic measures to provide scenarios based upon predicted deviations and problems with new, mainly in-vehicle technologies. To make HAZOP applicable for road safety purposes analysis of the expectations of road users is added to the traditional approach. In this paper, some results are shown for speed reduction measures. The dependency of the results on the membership of the HAZOP team and especially the question if a mixture of expertise is required are also discussed.

Suggested Citation

  • Jagtman, H.M. & Hale, A.R. & Heijer, T., 2005. "A support tool for identifying evaluation issues of road safety measures," Reliability Engineering and System Safety, Elsevier, vol. 90(2), pages 206-216.
    • Handle: RePEc:eee:reensy:v:90:y:2005:i:2:p:206-216
    DOI: 10.1016/j.ress.2004.11.002
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    Citations

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    Cited by:

    1. Jagtman, H.M. & Hale, A.R. & Heijer, T., 2006. "Ex ante assessment of safety issues of new technologies in transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 459-474, July.
    2. Panagiotis K. Marhavilas & Michail Filippidis & Georgios K. Koulinas & Dimitrios E. Koulouriotis, 2020. "A HAZOP with MCDM Based Risk-Assessment Approach: Focusing on the Deviations with Economic/Health/Environmental Impacts in a Process Industry," Sustainability, MDPI, vol. 12(3), pages 1-29, January.
    3. Pauer, Gábor & Török, à rpád, 2022. "Introducing a novel safety assessment method through the example of a reduced complexity binary integer autonomous transport model," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    4. Huang, Wencheng & Zhang, Yue & Yin, Dezhi & Zuo, Borui & Liu, Zhanru, 2021. "Urban bus accident analysis: based on a Tropos Goal Risk-Accident Framework considering Learning From Incidents process," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    5. Nogal, Maria & O'Connor, Alan & Caulfield, Brian & Martinez-Pastor, Beatriz, 2016. "Resilience of traffic networks: From perturbation to recovery via a dynamic restricted equilibrium model," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 84-96.

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