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Towards Sustainable Transportation: The Role of Black Spot Analysis in Improving Road Safety

Author

Listed:
  • Ioannis Karamanlis

    (Department of Civil Engineering, Democritus University of Thrace, 67100 Xanthi, Greece)

  • Andreas Nikiforiadis

    (School of Rural & Surveying Engineering, Faculty of Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • George Botzoris

    (Department of Civil Engineering, Democritus University of Thrace, 67100 Xanthi, Greece)

  • Alexandros Kokkalis

    (Department of Civil Engineering, Democritus University of Thrace, 67100 Xanthi, Greece)

  • Socrates Basbas

    (School of Rural & Surveying Engineering, Faculty of Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

Abstract

Sustainable transportation goals include an improvement in the level of road safety worldwide. It is well known that traffic accidents are one of the major causes of death worldwide. Black spots are road locations with a higher than statistically expected number of accidents. Remedying black spots would decisively improve road safety. A literature review of black spot identification methods, i.e., accident numbers, accident rates related to exposure, severity of accidents, Poisson and quality control methods, is presented within the framework of this paper. The various approaches adopted by key European and other countries are also summarized and evaluated. An important parameter is the unit length of a road, where accidents are referred. The quality of accident records is also critical. It is concluded that the coupling of statistical and accident severity index methods can contribute to assessing road infrastructure in a more holistic way and, therefore, in providing more reliable results with regard to the road safety level. The design and implementation of effective road safety strategies, based on black spot analysis, can be of great value for the decision makers and decision takers who are involved in the development of a sustainable transportation system.

Suggested Citation

  • Ioannis Karamanlis & Andreas Nikiforiadis & George Botzoris & Alexandros Kokkalis & Socrates Basbas, 2023. "Towards Sustainable Transportation: The Role of Black Spot Analysis in Improving Road Safety," Sustainability, MDPI, vol. 15(19), pages 1-12, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14478-:d:1253600
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    References listed on IDEAS

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    1. Yan Wan & Wenqiang He & Jibiao Zhou, 2021. "Urban Road Accident Black Spot Identification and Classification Approach: A Novel Grey Verhuls–Empirical Bayesian Combination Method," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
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    Cited by:

    1. Muhammad Wisal Khattak & Hans De Backer & Pieter De Winne & Tom Brijs & Ali Pirdavani, 2024. "Comparative Evaluation of Crash Hotspot Identification Methods: Empirical Bayes vs. Potential for Safety Improvement Using Variants of Negative Binomial Models," Sustainability, MDPI, vol. 16(4), pages 1-22, February.

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