Exploring the causes of fatal accidents.

Author(s)
Mazloumi, E. & Khorgami, M.H.
Year
Abstract

In this study, the Logistic Regression approach is used to identify the factors that significantly increase the risk of fatality in an accident based on a three year dataset of urban accidents in Chicago, Illinois. The results show that ‘intersections’ are less likely to have a fatal accident compared to other places. The ‘opposite direction’ accidents are more significantly associated with a fatality. Among different ‘person types’ involved in an accident, pedestrians have more risk of facing fatality. In addition, the ‘Blood Alcohol Content’ (BAC) more than illegal limit is significantly associated with the fatality caused by an accident. A statistical interpretation is given of the model estimates in terms of the odds ratio concept, which is represented in a matrix format. This tabulation is an informative tool to provide meaningful interpretations that can be used for future safety improvements. (Author/publisher) This publication may be accessed by Internet users at: http://www.ictct.org/workshop.php?workshop_nr=27

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Publication

Library number
20121569 e ST (In: 20121569 ST [electronic version only])
Source

In: Intersections - points of communication and points of risk innovative intersection design for safety and mobility : papers presented at the 6th extra workshop of the International Cooperation on Theories and Concepts in Traffic Safety ICTCT, Melbourne, Australia, April 14 - 15, 2008, Pp.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.