Evaluating the impact of train drivers’ cognitive and demographic characteristics on railway accidents

Bahareh Hani Tabai, Morteza Bagheri, Vahid Sadeghi-Firoozabadi, N. N. Sze

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

The experience of updating the complex systems of automatic train control has proven that the role of train divers in the train management is vital and indisputable. The purpose of this paper is to investigate the effects of train drivers’ cognitive and demographic characteristics on the occurrence of rail accidents. A sample of 56 train drivers was selected. The demographic attributes considered included age and job nature and the cognitive evaluation tools applied were cognition Vienna Test System including WAFV Sustained attention test, COG selective attention test and LVT visual perception test. Results of indicated that the sustainable attention of train drivers was one of the predictors of rail crashes, and no evidence was established for significant relationship between the demographic characteristics and occurrence of the accidents. The practical implications of this study were the development of cognitive rehabilitation courses for train drivers, targeting the reinforcement of attention and the management of railway accident risks.

Original languageEnglish
Pages (from-to)162-167
Number of pages6
JournalSafety Science
Volume110
DOIs
Publication statusPublished - Dec 2018

Keywords

  • Cognitive characteristics
  • Selective attention
  • Sustained attention
  • Train driver
  • Vienna test system
  • Visual perception

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Safety Research
  • Public Health, Environmental and Occupational Health

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