Publication in conference proceedings Q4
Prediction of road accident severity using the ordered probit model
Rui Filipe dos Santos Garrido (Garrido, R.); Ana Bastos (Bastos, A.); Ana de Almeida (de Almeida, A.); José Paulo Elvas (Elvas, J. P.);
Transportation Research Procedia
Year (definitive publication)
2014
Language
English
Country
Netherlands
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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.
Acknowledgements
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Keywords
Road safety,Road accident modelling,Injury severity,Motor-vehicle occupants,Ordered probit model
  • Civil Engineering - Engineering and Technology
Funding Records
Funding Reference Funding Entity
TICE.Mobilidade FEDER