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Application of Statistical Analysis for Risk Estimate of Railway Accidents and Traffic Incidents at Level Crossings

In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Opatija, Croatia, 17-18 June 2022

Author

Listed:
  • Ercegovac, Pamela
  • Stojić, Gordan
  • Tanackov, Ilija
  • Sremac, Siniša

Abstract

This paper deals with applying statistical analysis of traffic safety to analyze the risks at level crossings. The social costs of railway accidents and traffic incidents at level crossings are very high and lead to a reduction in the levels of traffic safety. In addition to the consequences reflected in the loss of human lives, injuries, and disabilities, the stress and trauma of direct participants in traffic, accidents, and incidents at level crossings cause huge property and economic losses and significant primary and secondary traffic delays. The traffic safety analysis was conducted on 2128 level crossings, which are differently protected on the lines Joint Stock Company for Public Railway Infrastructure Management "Serbian Railway Infrastructure" with statistical data of accidents in the Republic of Serbia from 2007 to 2017. The paper analyzes the obtained results using the methods of descriptive and inferential statistics to define measures of possible improvement of safety levels at the obtained critical level crossings. Also, a proposal was made for improving and raising the level of safety on level crossings through innovative education of direct participants in traffic.

Suggested Citation

  • Ercegovac, Pamela & Stojić, Gordan & Tanackov, Ilija & Sremac, Siniša, 2022. "Application of Statistical Analysis for Risk Estimate of Railway Accidents and Traffic Incidents at Level Crossings," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2022), Hybrid Conference, Opatija, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Opatija, Croatia, 17-18 June 2022, pages 225-238, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    • Handle: RePEc:zbw:entr22:268329
    DOI: 10.54820/entrenova-2022-0021
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    References listed on IDEAS

    as
    1. Junayed Pasha & Maxim A. Dulebenets & Olumide F. Abioye & Masoud Kavoosi & Ren Moses & John Sobanjo & Eren E. Ozguven, 2020. "A Comprehensive Assessment of the Existing Accident and Hazard Prediction Models for the Highway-Rail Grade Crossings in the State of Florida," Sustainability, MDPI, vol. 12(10), pages 1-27, May.
    2. Aleksandar Blagojević & Sandra Kasalica & Željko Stević & Goran Tričković & Vesna Pavelkić, 2021. "Evaluation of Safety Degree at Railway Crossings in Order to Achieve Sustainable Traffic Management: A Novel Integrated Fuzzy MCDM Model," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    level crossings; risk; railway accidents; traffic incidents; innovative education;
    All these keywords.

    JEL classification:

    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions

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