Pedestrian fatalities resulting from train-person collisions

Traffic Inj Prev. 2015;16(2):208-12. doi: 10.1080/15389588.2014.914181. Epub 2014 Oct 9.

Abstract

Objective: Train-person collisions have a significant impact in our society, due to their negative economic and psychological effects. This work aims to study fatalities resulting from train-person collisions in Portugal.

Methods: A retrospective study was conducted based on the analysis of autopsy reports related to train-person fatalities performed in the North Branch of the National Institute of Legal Medicine and Forensic Sciences.

Results: Suicide was responsible for most of the cases, and males were more often involved in train-person collisions than females. Victims, between 40 and 59 years old, were found to be involved in a high percentage (39%) of the cases, and people older than 65 accounted for a significant percentage (40%) of the accidents. No seasonality was observed in suicide cases, but a decrease in accident numbers was registered in summer. Regarding weekday and time of day, afternoon and non-rush hour were the times when most suicides were observed, whereas accidents did not showed a specific weekday or time of day, except for rush hour, during which they were more frequent. Alcohol-positive blood analysis accounting for 25% of the cases.

Conclusions: Differences from other European studies were found, which may be related to the different cultures of the countries/regions, as well as to the differences in the railway systems. More extensive studies must be performed in order to develop strategies to prevent train-person collisions.

Keywords: accident; suicide; toxicological results; train–person collision.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accidents, Traffic / mortality*
  • Accidents, Traffic / statistics & numerical data*
  • Adult
  • Age Distribution
  • Aged
  • Ethanol / blood
  • Female
  • Humans
  • Male
  • Middle Aged
  • Portugal / epidemiology
  • Railroads*
  • Retrospective Studies
  • Seasons
  • Sex Distribution
  • Suicide / statistics & numerical data
  • Time Factors
  • Walking / injuries*

Substances

  • Ethanol