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Investigation of Factors That Have Affected the Outcomes of Road Traffic Accidents on Lithuanian Roads

Author(s):




Medium: journal article
Language(s): English
Published in: The Baltic Journal of Road and Bridge Engineering, , n. 5, v. 15
Page(s): 1-20
DOI: 10.7250/bjrbe.2020-15.504
Abstract:

The purpose of this paper is to analyse the possibility for predicting the outcome of a road traffic accident concerning the traffic environment, personal traits of the traffic participant and the vehicle, i.e. aiming to answer the question whether specific values of the factors analysed to increase the likelihood of a fatal accident. The logistic regression model that allows identifying the relationship between the dependent and independent variables were used in the research. Other methods for describing and analysing categorical variables were also used alongside the logistic regression. When analysing the results, it was recognised that the odds ratio above 1 shows a higher likelihood for a representative of the category in question to be involved in a fatal accident compared to a representative of the base category. Odds ratios of likelihoods for calculation of the road traffic accident types show that the likelihood of a fatal accident is statistically significant affected by rollovers or driving into obstacles, compared to vehicular collisions. When summarising the results, it was stated that most of the factors researched have an impact on the outcome of a road traffic accident. The influence of some factors has a higher probability of resulting in a fatal accident as compared to other factors.

Copyright: © 2020 Teresė Leonavičienė, Saugirdas Pukalskas, Vidmantas Pumputis, Erika Kulešienė, Vidas Žuraulis
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10535785
  • Published on:
    31/12/2020
  • Last updated on:
    02/06/2021
 
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