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Benchmarking road safety performance by grouping local territories: A study in the Netherlands

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  • Aarts, L.T.
  • Houwing, S.

Abstract

The method of benchmarking provides an opportunity to learn from better performing territories to improve the effectiveness and efficiency of activities in a particular field of interest. Such a field of interest could be road safety. Road safety benchmarking can include several indicators, ranging from performance indicated by crash statistics, to indicators that also account for consequences in costs or the underlying state of the road safety system and relevant organisation and processes at actor level. The structure and culture of a territory is identified as a basic context of road safety performance. This is regarded as important information to use in grouping of territories to get more homogenous or equal and comparable conditions to learn from ‘the best in class’.

Suggested Citation

  • Aarts, L.T. & Houwing, S., 2015. "Benchmarking road safety performance by grouping local territories: A study in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 174-185.
    • Handle: RePEc:eee:transa:v:74:y:2015:i:c:p:174-185
    DOI: 10.1016/j.tra.2015.02.008
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    References listed on IDEAS

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    1. Gaudry, Marc & de Lapparent, Matthieu, 2013. "Part 1. National road safety performance: Data, the emergence of two single-outcome modeling streams and public health," Research in Transportation Economics, Elsevier, vol. 37(1), pages 6-19.
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    Cited by:

    1. Nikolaou, Paraskevas & Dimitriou, Loukas, 2018. "Evaluation of road safety policies performance across Europe: Results from benchmark analysis for a decade," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 232-246.
    2. Utriainen, Roni & Pöllänen, Markus & Liimatainen, Heikki, 2018. "Road safety comparisons with international data on seriously injured," Transport Policy, Elsevier, vol. 66(C), pages 138-145.
    3. Li, Yaxin & Ding, Yuxin & Guo, Yuliang & Cui, Haizhou & Gao, Haiyi & Zhou, Ziyu & (Aaron) Zhang, Nanbo & Zhu, Siyao & Chen, Faan, 2023. "An integrated decision model with reliability to support transport safety system analysis," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    4. Zhang, Jingshun & Hu, Jiayi & Wang, Xitong & Fang, Lien & Jin, Yi & Li, Muyang & Liu, Yangqing & Wu, Anna & Wang, Libin & Liu, Ruining & Zhang, Yi & Chen, Faan, 2023. "Quantifying transport safety success at the regional level: A guide to policy and practice on investment for G20," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    5. MacLean, Leonard & Richman, Alex & MacLean, Stuart, 2016. "Benchmarking airports with specific safety performance measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 349-364.
    6. Chen, Faan & Zhu, Yilin & Zu, Jiacheng & Lyu, Jingyang & Yang, Junfeng, 2022. "Appraising road safety attainment by CRITIC-ELECTRE-FCM: A policymaking support for Southeast Asia," Transport Policy, Elsevier, vol. 122(C), pages 104-118.

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