Modeling crossing behavior and accident risk of pedestrians

Yannis, G; Golias, J; Papadimitriou, E

dc.contributor.author	Yannis, G	en
dc.contributor.author	Golias, J	en
dc.contributor.author	Papadimitriou, E	en
dc.date.accessioned	2014-03-01T01:26:41Z
dc.date.available	2014-03-01T01:26:41Z
dc.date.issued	2007	en
dc.identifier.issn	0733-947X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18172
dc.subject	Accidents	en
dc.subject	Pedestrians	en
dc.subject	Probability	en
dc.subject	Risk management	en
dc.subject	Traffic safety	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Transportation Science & Technology	en
dc.subject.other	Algorithms	en
dc.subject.other	Highway accidents	en
dc.subject.other	Linear regression	en
dc.subject.other	Mathematical models	en
dc.subject.other	Probability	en
dc.subject.other	Risk management	en
dc.subject.other	Crossing behavior	en
dc.subject.other	Nested logit model	en
dc.subject.other	Urban trip	en
dc.subject.other	Pedestrian safety	en
dc.subject.other	modeling	en
dc.subject.other	pedestrian	en
dc.subject.other	probability	en
dc.subject.other	regression analysis	en
dc.subject.other	traffic management	en
dc.title	Modeling crossing behavior and accident risk of pedestrians	en
heal.type	journalArticle	en
heal.identifier.primary	10.1061/(ASCE)0733-947X(2007)133:11(634)	en
heal.identifier.secondary	http://dx.doi.org/10.1061/(ASCE)0733-947X(2007)133:11(634)	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	This paper presents a methodology for modeling pedestrians' crossing behavior along an urban trip, as well as an algorithm for the estimation of accident risk along the trip. For that purpose, existing models are exploited and further developed. In particular, a nested logit model and a linear regression model are merged and adapted to develop a hierarchical crossing behavior model, allowing for the estimation of a distribution of crossing probabilities on an urban road link among junctions and various midblock locations. The explanatory variables concern a set of directly measurable geometric and traffic characteristics. A second model is then developed for the estimation of the distribution of crossing probabilities along a trip in relation to the distance from the trip origin. Both models were sufficiently validated by means of appropriate surveys. On the basis of these models, a complete framework for the assessment of pedestrians' crossing behavior in urban areas is developed. Moreover, a set of formulas for the calculation of accident risk along a trip in relation to the estimated crossing behavior of pedestrians is proposed. © 2007 ASCE.	en
heal.publisher	ASCE-AMER SOC CIVIL ENGINEERS	en
heal.journalName	Journal of Transportation Engineering	en
dc.identifier.doi	10.1061/(ASCE)0733-947X(2007)133:11(634)	en
dc.identifier.isi	ISI:000250397600005	en
dc.identifier.volume	133	en
dc.identifier.issue	11	en
dc.identifier.spage	634	en
dc.identifier.epage	644	en