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Ex ante assessment of safety issues of new technologies in transport

Author

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

Abstract

New technologies in traffic can produce a range of unknown and unplanned deviations which require attention when assessing such technologies for market implementation. Current assessment methods focus on expected and usually desired effects and do not include identification and analyses of all kinds of other effects resulting from processes other than the desired processes. In this paper a method called HAZOP (Hazard and Operability analysis), originally developed for identifying unintended safety problems in chemical processes, is introduced and applied in order to analyse the added value of this method for large scale pilots with intelligent transport systems. The paper discusses the additional potential safety problems which the HAZOP identifies, that should be analysed before implementation of intelligent speed adaptation in daily traffic can be considered.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transa:v:40:y:2006:i:6:p:459-474
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Wencheng Huang & Yueyang Li & Xingyi Kou & Wenzhe Wang & Yifei Xu, 2021. "Using a FMEA–TIFIAD Approach to Identify the Risk of Railway Dangerous Goods Transportation System," Group Decision and Negotiation, Springer, vol. 30(1), pages 63-95, February.
    2. Huang, Wencheng & Zhang, Yue & Yu, Yaocheng & Xu, Yifei & Xu, Minhao & Zhang, Rui & De Dieu, Gatesi Jean & Yin, Dezhi & Liu, Zhanru, 2021. "Historical data-driven risk assessment of railway dangerous goods transportation system: Comparisons between Entropy Weight Method and Scatter Degree Method," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    3. Xu, Chengcheng & Liu, Pan & Wang, Wei & Li, Zhibin, 2014. "Identification of freeway crash-prone traffic conditions for traffic flow at different levels of service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 58-70.

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