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Estimation of fatality and injury risk by means of in-depth fatal accident investigation data

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dc.contributor.author Yannis, G en
dc.contributor.author Papadimitriou, E en
dc.contributor.author Dupont, E en
dc.contributor.author Martensen, H en
dc.date.accessioned 2014-03-01T01:33:25Z
dc.date.available 2014-03-01T01:33:25Z
dc.date.issued 2010 en
dc.identifier.issn 1538-9588 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20409
dc.subject Fatal accidents en
dc.subject Fatality risk en
dc.subject In-depth accident investigation en
dc.subject Injury risk en
dc.subject Multilevel logistic regression models en
dc.subject.other article en
dc.subject.other Europe en
dc.subject.other factual database en
dc.subject.other human en
dc.subject.other injury en
dc.subject.other methodology en
dc.subject.other mortality en
dc.subject.other multilevel analysis en
dc.subject.other risk assessment en
dc.subject.other statistical model en
dc.subject.other statistics en
dc.subject.other traffic accident en
dc.subject.other Accidents, Traffic en
dc.subject.other Databases, Factual en
dc.subject.other Europe en
dc.subject.other Humans en
dc.subject.other Logistic Models en
dc.subject.other Multilevel Analysis en
dc.subject.other Risk Assessment en
dc.subject.other Wounds and Injuries en
dc.title Estimation of fatality and injury risk by means of in-depth fatal accident investigation data en
heal.type journalArticle en
heal.identifier.primary 10.1080/15389588.2010.492536 en
heal.identifier.secondary http://dx.doi.org/10.1080/15389588.2010.492536 en
heal.language English en
heal.publicationDate 2010 en
heal.abstract Objective: In this article the factors affecting fatality and injury risk of road users involved in fatal accidents are analyzed by means of in-depth accident investigation data, with emphasis on parameters not extensively explored in previous research. Methods: A fatal accident investigation (FAI) database is used, which includes intermediate-level in-depth data for a harmonized representative sample of 1300 fatal accidents in 7 European countries. The FAI database offers improved potential for analysis, because it includes information on a number of variables that are seldom available, complete, or accurately recorded in road accident databases. However, the fact that only fatal accidents are examined requires for methodological adjustments, namely, the correction for two types of effects on a road user's baseline risk: ""accident size"" effects, and ""relative vulnerability"" effects. Fatality and injury risk can be then modeled through multilevel logistic regression models, which account for the hierarchical dependences of the road accident process. Results: The results show that the baseline fatality risk of road users involved in fatal accidents decreases with accident size and increases with the vulnerability of the road user. On the contrary, accident size increases nonfatal injury risk of road users involved in fatal accidents. Other significant effects on fatality and injury risk in fatal accidents include road user age, vehicle type, speed limit, the chain of accident events, vehicle maneuver, and safety equipment. In particular, the presence and use of safety equipment such as seat belt, antilock braking system (ABS), and electronic stability program (ESP) are protection factors for car occupants, especially for those seated at the front seats. Conclusions: Although ABS and ESP systems are typically associated with positive effects on accident occurrence, the results of this research revealed significant related effects on accident severity as well. Moreover, accident consequences are more severe when the most harmful event of the accident occurs later within the accident chain. © 2010 Taylor & Francis Group, LLC. en
heal.publisher TAYLOR & FRANCIS INC en
heal.journalName Traffic Injury Prevention en
dc.identifier.doi 10.1080/15389588.2010.492536 en
dc.identifier.isi ISI:000282174900008 en
dc.identifier.volume 11 en
dc.identifier.issue 5 en
dc.identifier.spage 492 en
dc.identifier.epage 502 en


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