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Journal ArticleOpen Access

Logistic Regression Model of Risk of Fatality in Vehicle–Pedestrian Crashes on National Highways in Bangladesh

Author Affiliations
University of Calgary, La Trobe University
Published InTransportation Research Record Journal of the Transportation Research Board
Year2011
Citations91

Abstract

Pedestrian fatalities on national highways in Bangladesh account for about 47% of all pedestrian fatalities; therefore, it is important to identify the risk factors involved. Binary logistic models were calibrated with crash data from 1998 to 2006 maintained by the Accident Research Institute of Bangladesh to identify the factors associated with the probability of a fatal outcome. The results showed that the involvement of elderly pedestrians (individuals older than 55 years of age) and young pedestrians (individuals younger than 15 years of age) increased the likelihood of a fatality. A higher risk of fatality was also seen for pedestrians who crossed the road than for those who walked along the edges of the road. Pedestrian collisions with trucks, buses, baby…
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