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Title: Prediction of road accident severity using the ordered probit model
Authors: Garrido, R.
Bastos, A.
de Almeida, A.
Elvas, J. P.
Keywords: Road safety
Road accident modelling
Injury severity
Motor-vehicle occupants
Ordered probit model
Issue Date: 2014
Publisher: Elsevier
Abstract: The ordered probit model is used to examine the contribution of several factors to the injury severity faced by motor-vehicle occupants involved in road accidents. The estimated results suggest that motor-vehicle occupants travelling in light-vehicles, at two-way roads, and on dry road surfaces tend to suffer more severe injuries than those who travel in heavy-vehicles, at one-way roads, and on wet road surfaces. Additionally, the driver's seat is clearly the safest seating position, urban areas seem to originate less serious accidents than rural areas, and women tend to be more likely to suffer serious or fatal injuries than men.
Description: WOS:000377412600024
Peer reviewed: yes
DOI: 10.1016/j.trpro.2014.10.107
ISSN: 2352-1465
Appears in Collections:CTI-CRI - Comunicações a conferências internacionais

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