A statistical analysis of motorcycle helmet wearing in Greece

Yannis, G; Laiou, A; Vardaki, S; Papadimitriou, E; Dragomanovits, A; Kanellaidis, G

dc.contributor.author	Yannis, G	en
dc.contributor.author	Laiou, A	en
dc.contributor.author	Vardaki, S	en
dc.contributor.author	Papadimitriou, E	en
dc.contributor.author	Dragomanovits, A	en
dc.contributor.author	Kanellaidis, G	en
dc.date.accessioned	2014-03-01T02:07:30Z
dc.date.available	2014-03-01T02:07:30Z
dc.date.issued	2012	en
dc.identifier.issn	18245463	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29566
dc.subject	Binary logistic regression	en
dc.subject	Elasticity	en
dc.subject	Motorcycle helmet	en
dc.subject	Observation survey	en
dc.subject.other	Binary logistic regression	en
dc.subject.other	Community education	en
dc.subject.other	Crash risk	en
dc.subject.other	Head injuries	en
dc.subject.other	Independent variables	en
dc.subject.other	Motorcycle helmet	en
dc.subject.other	Population levels	en
dc.subject.other	Pseudoelasticity	en
dc.subject.other	Public awareness	en
dc.subject.other	Road safety policies	en
dc.subject.other	Urban areas	en
dc.subject.other	Wearing rate	en
dc.subject.other	Decision making	en
dc.subject.other	Elasticity	en
dc.subject.other	Logistics	en
dc.subject.other	Motorcycles	en
dc.subject.other	Regression analysis	en
dc.subject.other	Safety devices	en
dc.subject.other	Surveys	en
dc.subject.other	Accident prevention	en
dc.title	A statistical analysis of motorcycle helmet wearing in Greece	en
heal.type	journalArticle	en
heal.identifier.primary	10.4399/97888548486725	en
heal.identifier.secondary	http://dx.doi.org/10.4399/97888548486725	en
heal.publicationDate	2012	en
heal.abstract	Introduction: Wearing a helmet is the single most effective way of reducing head injuries and fatalities resulting from motorcycle crashes. The objective of this research is the analysis of motorcycle helmet wearing in Greece and the identification of the related determinants. Method: Helmet wearing in Greece was recorded through an on-site observational survey. Collected data were used for the development of a binary logistic regression model. The independent variables used were time of the day, motorcycle type, road type and riders' characteristics (gender, age and position on the motorcycle). Pseudo-elasticity values for all variables were calculated in order to quantify the impact of each one on helmet wearing. Results: The survey revealed low helmet wearing rates. The rates are much higher in rural than in urban areas and for drivers of large motorcycles. Based on pseudo-elasticity values the variable with the greatest impact on wearing a helmet is being the driver. Impact on industry: The identification of some of the parameters that have an influence on the behaviour of motorcyclists in Greece concerning helmet wearing and the consequent results can be exploited by road safety policy decision makers, as well as by motorcycle and helmet industries, in future efforts for the increase of helmet wearing in Greece. Conclusions: Helmet wearing should be rigorously enforced at a population level. Community education campaigns and promotion of motorcyclists' education should be considered along with enforcement. Generally, public awareness of the crash risk associated with riding without a helmet should be increased.	en
heal.journalName	Advances in Transportation Studies	en
dc.identifier.doi	10.4399/97888548486725	en
dc.identifier.issue	27	en
dc.identifier.spage	69	en
dc.identifier.epage	82	en