2009
DOI: 10.1016/j.aap.2009.01.009
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Modeling motorcycle helmet use in Iowa: Evidence from six roadside observational surveys

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Cited by 50 publications
(36 citation statements)
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“…In particular, a bivariate probit (BP) model was utilized in order to control the common unobserved factors that affect both the e-bike involved crash and license plate use. The BP model is an extension of the univariate binary probit and is designed to model binary dependent variables that may be simultaneously determined [22,[29][30][31]. If two separate univariate probit models were developed for each dependent variable, the correlation between the disturbances would be ignored, leading to inefficiency in model estimation [31].…”
Section: Methodsmentioning
confidence: 99%
“…In particular, a bivariate probit (BP) model was utilized in order to control the common unobserved factors that affect both the e-bike involved crash and license plate use. The BP model is an extension of the univariate binary probit and is designed to model binary dependent variables that may be simultaneously determined [22,[29][30][31]. If two separate univariate probit models were developed for each dependent variable, the correlation between the disturbances would be ignored, leading to inefficiency in model estimation [31].…”
Section: Methodsmentioning
confidence: 99%
“…; e-mail: rene.rossi@empa.ch 2008), general physiological strain (D'Artibale et al, 2008), microclimate CO 2 and O 2 levels (Iho et al, 1980;Brühwiler et al, 2005), and helmet thermal properties (Brühwiler, 2003;Buyan et al, 2006;Bogerd and Brühwiler, 2008;Pinnoji et al, 2008;Bogerd and Brühwiler, 2009). Unfavorable temperature perception and/or thermal discomfort are frequently given arguments for not wearing a motorcycle helmet (Patel and Mohan, 1993;Skalkidou et al, 1999;Li et al, 2008b), which is supported by field observations (Gkritza, 2009). Generally, a substantial fraction of riders do not wear helmets, ranging, e.g., from 7.7% (ACEM, 2004) between 1999 and 2000 for European countries, 40 -8% for the USA from 1994 to 2006 (Glassbrenner and Ye, 2006), and 25% in Taiwan between 1999 and 2001 (Keng, 2005).…”
Section: Introductionmentioning
confidence: 73%
“…It is well established that the use of a motorcycle helmet increases the likelihood of surviving a motorcycle or moped traffic accident (Deutermann, 2004;Keng, 2005;Ouellet and Kasantikul, 2006;Houston and Richardson, 2008), motivating continual efforts to study their function (Tan and Fok, 2006;Comelli et al, 2008;Lai and Huang, 2008;Mills et al, 2009;Młyński et al, 2009) and use (Oginni et al, 2007;Houston and Richardson, 2008;Li et al, 2008a;Mayrose, 2008;Gkritza, 2009). Motorcycle helmets are required to cover more of the head than most protective helmets, and those offering the most protection, full-face helmets, greatly reduce the interaction of the wearer with his/her environment.…”
Section: Introductionmentioning
confidence: 99%
“…Inconsistency in these results may be due to influence of road type on whether motorcyclists considered helmet use necessary, as well as variation of enforcement across different road types. Observational roadside studies have shown that motorcyclists are more likely to use helmets in winter, weekdays and early morning hours (ZamaniAlavijeh et al, 2011;Li et al, 2008;Skalkidou et al, 1999;Conrad et al, 1996;Gkritza, 2009), but have not revealed why these factors affect helmet use, or whether these factors are causal.…”
Section: Introductionmentioning
confidence: 96%