Modelling driver choices towards accident risk reduction

Yannis, G; Kanellopoulou, A; Aggeloussi, K; Tsamboulas, D

dc.contributor.author	Yannis, G	en
dc.contributor.author	Kanellopoulou, A	en
dc.contributor.author	Aggeloussi, K	en
dc.contributor.author	Tsamboulas, D	en
dc.date.accessioned	2014-03-01T11:44:40Z
dc.date.available	2014-03-01T11:44:40Z
dc.date.issued	2005	en
dc.identifier.issn	0925-7535	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/37081
dc.subject	Logistic regression	en
dc.subject	Risk reduction	en
dc.subject	Road accident	en
dc.subject	Stated preference	en
dc.subject.classification	Engineering, Industrial	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.other	Accident prevention	en
dc.subject.other	Behavioral research	en
dc.subject.other	Mathematical models	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Regression analysis	en
dc.subject.other	Risk assessment	en
dc.subject.other	Sensitivity analysis	en
dc.subject.other	Accident risk	en
dc.subject.other	Behavioral parameters	en
dc.subject.other	Risk reduction	en
dc.subject.other	Road safety	en
dc.subject.other	Automobile drivers	en
dc.subject.other	accident	en
dc.subject.other	behavior	en
dc.subject.other	driver	en
dc.subject.other	driving ability	en
dc.subject.other	health program	en
dc.subject.other	human	en
dc.subject.other	income	en
dc.subject.other	logistic regression analysis	en
dc.subject.other	parameter	en
dc.subject.other	priority journal	en
dc.subject.other	questionnaire	en
dc.subject.other	research	en
dc.subject.other	review	en
dc.subject.other	risk assessment	en
dc.subject.other	risk reduction	en
dc.subject.other	sensitivity analysis	en
dc.subject.other	traffic and transport	en
dc.title	Modelling driver choices towards accident risk reduction	en
heal.type	other	en
heal.identifier.primary	10.1016/j.ssci.2005.02.004	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.ssci.2005.02.004	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	This research deals with the identification of the driver behavioural parameters that influence his choices in order to reduce the accident risk. In this context, a questionnaire-based survey was conducted and the stated preference method was used to develop an explanatory model. The application of the logistic regression model developed showed that parameters related to trip duration and increase of trip cost and time have an important impact on the choice of risk reduction alternatives. Other parameters with significant impact concerned gender. family status, driving experience and annual family income. Furthermore, the application of the model revealed that absolute value of additional trip time-not its percentage change-seems to play the most important role in driver choice towards accident risk reduction independently of the trip duration. Results from this sensitivity analysis of critical parameters affecting driver choices could prove useful for the identification of appropriate road safety strategies, programmes and measures for the improvement of driver behaviour. (c) 2005 Elsevier Ltd. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Safety Science	en
dc.identifier.doi	10.1016/j.ssci.2005.02.004	en
dc.identifier.isi	ISI:000230039900002	en
dc.identifier.volume	43	en
dc.identifier.issue	3	en
dc.identifier.spage	173	en
dc.identifier.epage	186	en