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Class differences and traffic deaths

D J Krus1, E A Nelsen

  • 1Department of Measurement, Statistics, and Methodological Studies, Arizona State University, Tempe 85287-0611, USA.

Perceptual and Motor Skills
|December 1, 1996
PubMed
Summary

Traffic fatalities surged in post-socialist nations, but not due to more cars. A negative correlation suggests social factors, like class differences, may drive vehicle-related homicides.

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Area of Science:

  • Socioeconomics
  • Public Health
  • Criminology

Background:

  • East European countries experienced a dramatic increase in traffic fatalities following their transition from socialist to capitalist economies.
  • The common explanation attributes this rise to increased private car ownership, a trend observed in Western nations.

Purpose of the Study:

  • To investigate the paradoxical negative correlation between car ownership and traffic deaths in post-communist countries.
  • To explore alternative hypotheses beyond simple car numbers for understanding traffic-related fatalities in these regions.

Main Methods:

  • Comparative analysis of traffic fatality data and car ownership statistics in Western and post-communist societies.
  • Exploration of socioeconomic factors, specifically class differences and perceived social superiority, as potential contributors to vehicle-related homicides.

Main Results:

  • A positive correlation between car numbers and traffic deaths exists in Western societies.
  • Conversely, a negative correlation was observed in post-communist countries, challenging conventional explanations.
  • Preliminary findings suggest socioeconomic factors may play a significant role.

Conclusions:

  • The rise in traffic deaths in post-communist countries cannot be solely explained by increased car ownership.
  • Socioeconomic factors, including class disparities and feelings of superiority, warrant further investigation as potential drivers of vehicle-related homicides.
  • This study highlights the need for nuanced approaches to traffic safety in transitional economies.

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