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Driver speeding typologies by roadway behaviours and beliefs: A latent class analysis with a multistate sample of U.S. adults
Institution:1. Division of Health Policy and Management, School of Public Health, University of Minnesota, United States;2. Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, United States;3. Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, United States;1. The George Institute for Global Health, Sydney Medical School, The University of Sydney, PO Box M201, Missenden Rd, Sydney NSW 2050, Australia;2. School of Science and Health, University of Western Sydney, Australia;3. Safer Roads Consulting, 53 Lachlan St, Thirroul NSW 2515, Australia;4. The Centre for Road Safety, Transport for NSW, Road Safety Technology, Level 3, 84 Crown St, Wollongong NSW 2500, Australia;5. Neuroscience Research Australia (NeuRA), Margarete Ainsworth Building, Barker St, Randwick NSW 2031, Australia;6. Kolling Institute of Medical Research, Sydney Medical School, The University of Sydney, Level 10, Kolling Building 6, Royal North Shore Hospital, St Leonards NSW 2065, Australia
Abstract:Speeding has consistently contributed to a high number of motor vehicle crashes and subsequent injuries and deaths in the U.S. Identifying types of drivers related to speeding behaviour may help target interventions to reduce speeding. Typology of U.S. driver speeders have examined very specifically speeding behaviours and speeding-related attitudes. This exploratory work used latent class analysis (LCA) to examine how other driving behaviours and attitudes cluster around speeding behaviours to determine speeder typologies, which may lend a more holistic perspective to speeder types. Predicted class assignments were evaluated for associations with demographic and personality factors. The LCA resulted in four driver typologies, which we labelled: Externally Motivated (40.7%), Non-Reactors (26.2%), Perceived Invulnerable (24.3%), and Perceived Vulnerable (8.9%). The Externally Motivated and Non-Reactors typologies had the highest probability of reporting extreme speeding. The Externally Motivated may be intervened upon with messaging about reducing risks crashes and injuring passengers, while the Perceived Vulnerable class already exhibit several risk-averse behaviours that self-limits their speeding behaviour. Class placement was associated with age, self-reported speeding frequency, receipt of speeding violations. The resulting U.S. driver typologies advances the literature by demonstrating that non-speeding driver behaviours and attitudes cluster with speeding behaviours, which altogether can inform more nuanced and effective anti-speeding campaigns.
Keywords:Driver behaviour  Driver psychology  Latent class  Cluster analysis  Risk factors
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