Effects of road geometry and traffic volumes on rural roadway accident rates

Karlaftis, MG; Golias, I

dc.contributor.author	Karlaftis, MG	en
dc.contributor.author	Golias, I	en
dc.date.accessioned	2014-03-01T01:17:46Z
dc.date.available	2014-03-01T01:17:46Z
dc.date.issued	2002	en
dc.identifier.issn	0001-4575	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14661
dc.subject	Accident rates	en
dc.subject	Hierarchical tree based regression	en
dc.subject	Rural roads	en
dc.subject.classification	Ergonomics	en
dc.subject.classification	Public, Environmental & Occupational Health	en
dc.subject.classification	Social Sciences, Interdisciplinary	en
dc.subject.classification	Transportation	en
dc.subject.other	article	en
dc.subject.other	environmental planning	en
dc.subject.other	human	en
dc.subject.other	nonparametric test	en
dc.subject.other	regression analysis	en
dc.subject.other	statistics	en
dc.subject.other	traffic accident	en
dc.subject.other	United States	en
dc.subject.other	Accidents, Traffic	en
dc.subject.other	Environment Design	en
dc.subject.other	Humans	en
dc.subject.other	Indiana	en
dc.subject.other	Regression Analysis	en
dc.subject.other	Statistics, Nonparametric	en
dc.title	Effects of road geometry and traffic volumes on rural roadway accident rates	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0001-4575(01)00033-1	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0001-4575(01)00033-1	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	This paper revisits the question of the relationship between rural road geometric characteristics, accident rates and their prediction, using a rigorous non-parametric statistical methodology known as hierarchical tree-based regression. The goal of this paper is twofold. first, it develops a methodology that quantitatively assesses the effects of various highway geometric characteristics on accident rates and, second, it provides a straightforward, yet fundamentally and mathematically sound way of predicting accident rates on rural roads. The results show that although the importance of isolated variables differs between two-lane and multilane roads, 'geometric design' variables and 'pavement condition' variables are the two most important factors affecting accident rates. Further, the methodology used in this paper allows for the explicit prediction of accident rates for given highway sections, as soon as the profile of a road section is given. (C) 2002 Elsevier Science Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Accident Analysis and Prevention	en
dc.identifier.doi	10.1016/S0001-4575(01)00033-1	en
dc.identifier.isi	ISI:000174640400012	en
dc.identifier.volume	34	en
dc.identifier.issue	3	en
dc.identifier.spage	357	en
dc.identifier.epage	365	en