Voluntary seat belt use among U.S. drivers: Geographic, socioeconomic and demographic variation☆
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Cited by (29)
Disentangling the effects of unobserved factors on seatbelt use choices in multi-occupant vehicles
2021, Journal of Choice ModellingCitation Excerpt :Such an understanding can, in turn, lead to the deployment of more effective countermeasures to further increase seatbelt use rates. Past research has shown that seatbelt use is associated with a multitude of factors arising from spatial and temporal characteristics of driving, type of vehicle, demographic and socioeconomic attributes of the vehicle occupants and their behaviours, attitudes and social norms (Lund, 1986; Ali et al., 2011; Okamura et al., 2012; Hezaveh and Cherry, 2019b; Afghari et al., 2020). While extensive research has been dedicated to the understanding of the effects of the above factors on seatbelt use, the complexities of vehicle occupants’ choices in using seatbelt have been largely unexplored.
A home-based approach to understanding seatbelt use in single-occupant vehicles in Tennessee: Application of a latent class binary logit model
2020, Accident Analysis and PreventionCitation Excerpt :These statistics have raised the need to better understand factors influencing seatbelt use that could, in turn, lead to the deployment of effective countermeasures to encourage seatbelt use among vehicle occupants in general, and in Tennessee in particular. Past research has shown that seatbelt use is associated with a multitude of factors including spatial and temporal characteristics of driving, type of vehicle, demographic and socioeconomic attributes of the vehicle occupants and their behaviours, attitudes and social norms (Lund, 1986; Ali et al., 2011; Okamura et al., 2012; Hezaveh and Cherry, 2019b). Glassbrenner and Ye (2007), Nichols et al. (2009); Reagan et al. (2013) reported a higher seatbelt use compliance rate in urban areas and expressways in comparison with rural roads.
Attitudes and behavior of Chinese drivers regarding seatbelt use
2011, Accident Analysis and PreventionCitation Excerpt :By combining both observation and self-reported data, the study results (see Table 2 for univariate analyses and Tables 5 and 6 for multivariate analyses) provide some evidence that being an older driver, being a female, having a higher education level (which may be a potential factor for socioeconomic status), living in larger cities, and being a professional driver, as well as having a better attitude toward the importance of wearing seatbelts, were correlated with greater seatbelt use, although no significant relationships were found between years of driving, annual driving distance, and the use of seatbelts. The results are similar to those in prior studies conducted in various countries (e.g., Bendak, 2005; Li et al., 2006; Lund, 1986; Reinfurt et al., 1996; Wells et al., 2002). These data can be used to answer the question “Who should be in the targeted group when conducting seatbelt interventions in China?”
Would those who need ISA, use it? Investigating the relationship between drivers' speed choice and their use of a voluntary ISA system
2006, Transportation Research Part F: Traffic Psychology and BehaviourA spatial and temporal analysis of safety-belt usage and safety-belt laws
2004, Accident Analysis and PreventionCitation Excerpt :The purpose of this paper is to analyze the effectiveness of both primary and secondary enforcement statutes at increasing safety-belt usage and also to explore both spatial and temporal analyses methods. This is done while controlling for various other factors that have been found to influence safety-belt use (Fockler and Cooper, 1990; Lund, 1986; Chliaoutakis et al., 2000). These include various demographic characteristics and road infrastructure characteristics that have been hypothesized to influence the likelihood of using safety-belts.
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This work was supported by the Insurance Institute for Highway Safety.