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Measuring accident risk exposure for pedestrians in different micro-environments

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dc.contributor.author Lassarre, S en
dc.contributor.author Papadimitriou, E en
dc.contributor.author Yannis, G en
dc.contributor.author Golias, J en
dc.date.accessioned 2014-03-01T01:26:35Z
dc.date.available 2014-03-01T01:26:35Z
dc.date.issued 2007 en
dc.identifier.issn 0001-4575 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/18147
dc.subject Accident en
dc.subject Crossing behaviour en
dc.subject Exposure en
dc.subject Micro-environment en
dc.subject Pedestrian 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 Epidemiology en
dc.subject.other Highway accidents en
dc.subject.other Pedestrian safety en
dc.subject.other Risks en
dc.subject.other Traffic control en
dc.subject.other Vehicles en
dc.subject.other Accident risk en
dc.subject.other Crossing behaviour en
dc.subject.other Micro-environments en
dc.subject.other Urban transportation policy en
dc.subject.other Safety engineering en
dc.subject.other article en
dc.subject.other biological model en
dc.subject.other epidemiology en
dc.subject.other human en
dc.subject.other risk assessment en
dc.subject.other statistical model en
dc.subject.other traffic accident en
dc.subject.other walking en
dc.subject.other Accidents, Traffic en
dc.subject.other Epidemiologic Methods en
dc.subject.other Humans en
dc.subject.other Logistic Models en
dc.subject.other Models, Biological en
dc.subject.other Risk Assessment en
dc.subject.other Walking en
dc.title Measuring accident risk exposure for pedestrians in different micro-environments en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.aap.2007.03.009 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.aap.2007.03.009 en
heal.language English en
heal.publicationDate 2007 en
heal.abstract Pedestrians are mainly exposed to the risk of road accident when crossing a road in urban areas. Traditionally in the road safety field, the risk of accident for pedestrian is estimated as a rate of accident involvement per unit of time spent on the road network. The objective of this research is to develop an approach of accident risk based on the concept of risk exposure used in environmental epidemiology, such as in the case of exposure to pollutants. This type of indicator would be useful for comparing the effects of urban transportation policy scenarios on pedestrian safety. The first step is to create an indicator of pedestrians' exposure, which is based on motorised vehicles' ""concentration"" by lane and also takes account of traffic speed and time spent to cross. This is applied to two specific micro-environments: junctions and mid-block locations. A model of pedestrians' crossing behaviour along a trip is then developed, based on a hierarchical choice between junctions and mid-block locations and taking account of origin and destination, traffic characteristics and pedestrian facilities. Finally, a complete framework is produced for modelling pedestrians' exposure in the light of their crossing behaviour. The feasibility of this approach is demonstrated on an artificial network and a first set of results is obtained from the validation of the models in observational studies. © 2007 Elsevier Ltd. All rights reserved. en
heal.publisher PERGAMON-ELSEVIER SCIENCE LTD en
heal.journalName Accident Analysis and Prevention en
dc.identifier.doi 10.1016/j.aap.2007.03.009 en
dc.identifier.isi ISI:000250892000021 en
dc.identifier.volume 39 en
dc.identifier.issue 6 en
dc.identifier.spage 1226 en
dc.identifier.epage 1238 en


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