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Reckless driving is a major contributing factor to road morbidity and mortality. While further research into the nature and impact of reckless driving, particularly among young people, is urgently needed, the measurement of reckless driving behaviour also requires increased attention. Three major shortcomings apparent in established measures of driver behaviour are that they do not target the full range of reckless driving behaviours, they measure characteristics other than driving behaviours, and/or they fail to categorise and label reckless driver behaviour based on characteristics of the behaviours themselves. To combat these shortcomings, this paper reports the development and preliminary validation of a new measure of reckless driving behaviour for young drivers. Exploratory factor analysis of self-reported driving data revealed four, conceptually distinct categories of reckless driving behaviour: those that increase crash-risk due to (a) distractions or deficits in perception, attention or reaction time (labelled "distracted"), (b) driving under the influence of drugs or alcohol (labelled "substance-use"), (c) placing the vehicle in an unsafe environment beyond its design expectations (labelled "extreme"), and (d) speed and positioning of the vehicle relative to other vehicles and objects (labelled "positioning"). Confirmatory factor analysis of data collected from a separate, community sample confirmed this four-factor structure. Multiple regression analyses found differences in the demographic and psychological variables related to these four factors, suggesting that interventions in one reckless driving domain may not be helpful in others.
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http://dx.doi.org/10.1016/j.aap.2014.04.014 | DOI Listing |
BMC Public Health
November 2024
Department of Work and Social Psychology, Maastricht University, Maastricht,, 6200 MD, The Netherlands.
Road crash injuries are significant public health issues in many low-and middle-income countries. Every year more than 1.35 million people lose their lives due to road crashes, making it one of the leading causes of death worldwide.
View Article and Find Full Text PDFSci Rep
September 2024
Department of Civil and Environmental Engineering, Rowan University, 201 Mullica Hill Road, Glassboro, NJ, 08028, USA.
Sci Rep
September 2024
Social Determinants of Health Research Center, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
Road traffic crashes (RTCs) disproportionately impact low and middle-income countries (LMICs). Current interventions in LMICs primarily target road user behavior, neglecting systemic issues and casting drivers as mere contributors. Given Iran's unique cultural, financial, and social intricacies, this study aims to explore the latent causes of RTCs, prioritizing drivers' experiences and encompassing insights from various traffic system components.
View Article and Find Full Text PDFHeliyon
July 2024
School of Psychology, Liaoning Normal University, Dalian, Liaoning, PR China.
Purpose: The present study aimed to revise the Reckless Driving Behaviour Scale (RDBS) and examined its reliability and validity among young Chinese drivers.
Methods: The RDBS, the Safe Driving Climate among Friends Scale (SDCaF), the Family Climate for Road Safety Scale (FCRSS) and a social desirability scale were administrated to 560 young drivers. Exploratory factor analysis (EFA, = 250) and confirmatory factor analysis (CFA, = 250) were conducted to examine the factorial structure of the RDBS.
Traffic Inj Prev
July 2024
School of Business, Sichuan Normal University, Chengdu, PR China.
Objective: Mountain highways are linearly complex, with extensive curves and high accident injury rates, how to improve driving safety is the key to traffic safety management on mountain highways, and it also meets the need for harmonious and sustainable development of the society. Therefore, this study investigates the effects of different guardrail color configurations on the driving behavior of different styles of drivers when driving on mountainous curves from the perspective of improving road aids - guardrails.
Methods: A virtual reality experiment was designed using a driving simulator and VR technology, and 64 subjects were recruited to participate and complete the experiment.
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