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Introducing a multi-variate classification method: Risky driving acceptance among different heterogeneous driver

Chantal P M Timmermans1, Wael K M Alhajyaseen1, Veerle Ross2

  • 1Qatar University - Qatar Transportation and Traffic Safety Center, College of Engineering, P.O. Box 2713, Doha, Qatar.

Journal of Safety Research
|June 22, 2020
PubMed
Summary

This study identifies distinct driver sub-cultures in Qatar, revealing that young Arab students accept speeding, Arab male drivers tolerate distraction, and South Asian business drivers engage in extreme risk-taking. This research aids targeted traffic safety interventions.

Keywords:
Heterogeneous driving populationMultidimensional scalingRisky driving behaviourSub-culturesTraffic safety culture

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Area of Science:

  • Traffic Safety Research
  • Sociology of Transport
  • Behavioral Science

Background:

  • Heterogeneous driving populations foster diverse sub-cultures with varying traffic safety cultures.
  • Understanding these sub-cultures is crucial for effective traffic safety interventions.
  • Traditional approaches often overlook the nuances of group-specific driving behaviors.

Purpose of the Study:

  • To introduce an innovative methodology for multivariate classification of drivers, attitudes, and behaviors using large datasets.
  • To explore traffic safety culture in Qatar by classifying attitudes towards risky driving behaviors into themes.
  • To classify drivers into sub-cultures based on shared characteristics and differing attitudes towards risky driving.

Main Methods:

  • Application of multidimensional scaling analysis (MDS) to a questionnaire dataset from Qatar.
  • Investigating similarity patterns between questionnaire items to categorize risky driving attitudes.
  • Classifying drivers within a heterogeneous sample into sub-cultures using MDS.

Main Results:

  • Young Arabic students exhibit the highest acceptance of speeding.
  • Male Arab drivers show the highest acceptance of distraction and negligence (e.g., phone use, seatbelt non-use).
  • South-Asian business drivers demonstrate the highest acceptance of extreme risk-taking behaviors (e.g., intoxicated driving, red-light running).

Conclusions:

  • Understanding risky behaviors within driver sub-cultures allows for targeted interventions rather than individual-focused approaches.
  • Identifying groups prone to specific risky driving themes enables focused training and education.
  • The study provides guidance for improving driver education and awareness campaigns to enhance long-term traffic safety by addressing specific sub-cultural attitudes and habits.