Konferenzbeitrag

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

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.

Sprache
Englisch

Erschienen in
In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Opatija, Croatia, 17-18 June 2022 ; Year: 2022 ; Pages: 225-238 ; Zagreb: IRENET - Society for Advancing Innovation and Research in Economy

Klassifikation
Wirtschaft
Railroads and Other Surface Transportation
Specific Distributions; Specific Statistics
Thema
level crossings
risk
railway accidents
traffic incidents
innovative education

Ereignis
Geistige Schöpfung
(wer)
Ercegovac, Pamela
Stojić, Gordan
Tanackov, Ilija
Sremac, Siniša
Ereignis
Veröffentlichung
(wer)
IRENET - Society for Advancing Innovation and Research in Economy
(wo)
Zagreb
(wann)
2022

DOI
doi:10.54820/entrenova-2022-0021
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Konferenzbeitrag

Beteiligte

  • Ercegovac, Pamela
  • Stojić, Gordan
  • Tanackov, Ilija
  • Sremac, Siniša
  • IRENET - Society for Advancing Innovation and Research in Economy

Entstanden

  • 2022

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