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A study of the factors affecting driving risk perception using the Bivariate Ordered Probit model.

Authors
  • Sahebi, Sina1
  • Nassiri, Habibollah2
  • Naderi, Hossein2
  • 1 School of Civil, Water, and Environmental Engineering, Shahid Beheshti University, Tehran, Iran. , (Iran)
  • 2 Department of Civil Engineering, Sharif University of Technology, Tehran, Iran. , (Iran)
Type
Published Article
Journal
International journal of injury control and safety promotion
Publication Date
Jun 01, 2023
Volume
30
Issue
2
Pages
172–184
Identifiers
DOI: 10.1080/17457300.2022.2090579
PMID: 35771954
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

This paper aims to examine the key factors influencing driving risk perception in Iran. We conducted separate surveys for two groups of Iranian drivers, namely passenger car drivers and truck drivers. In order to assess driving risk perception, respondents were asked what they think about their Probability of Having a Road Accident (PHRA) and if they eventually have an accident as a driver, what they think about the Probability of it being Fatal or causing Severe Injury (PFSI). A Bivariate Ordered Probit model, which considers the possible correlation between PHRA and PFSI, was developed to explain the observed driving risk perception using type of vehicle, driving experience, socio-demographic information, and driving behaviour. According to the results, vehicle type, vehicle age, driving experience, sleep quality, at-fault accidents over the past three years, vehicles safety-related equipment, and education level have significant effects on driving risk perception (p-value < 0.05). In addition, this paper compares the driving risk perception of truck and passenger car drivers. The results show that truck drivers have a higher perception of PHRA and PFSI compared with passenger car drivers (p-value < 0.05). The results may convince policy-makers to consider the characteristics of the two categories of drivers when designing regulations.

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