Research Articles >
College of Science >
Please use this identifier to cite or link to this item:
|Title: ||Modelling the risk factors for injury severity in motorcycle users in Ghana|
|Authors: ||Aidoo, Eric Nimako|
|Keywords: ||Traffic crashes|
Generalized ordered logit
|Issue Date: ||21-Mar-2019|
|Publisher: ||Springer-Verlag GmbH Germany|
|Abstract: ||Aim This study aims to determine risk factors associated with the injury severity of motorcycle users in Ghana.
Subject and methods Data on all reported crashes involving motorcycle users in Ghana were analyzed. The data were extracted
from the National Road Traffic Accident Database at the Building and Road Research Institute (BRRI) of the Council for
Scientific and Industrial Research (CSIR). Generalized ordered logit models were specified separately for riders and pillion
passengers to determine the relationship between injury severity, as an ordered categorical outcome, and a set of possible
Results The results from the model showed that the injury severity of both riders and pillion passengers was significantly
influenced by the day of the week when the crash occurred, weather conditions, road geometry, location type, and traffic control.
In addition, the injury severity of riders was also influenced by their age, presence of passenger, and light conditions, whilst the
injury severity of pillion passengers was influenced by the time of the crash.
Conclusion The findings from this study provide useful information to improve the understanding of risk factors associated with
motorcycle user injury severity. Such data are also important to support the development of appropriate countermeasures to help
prevent motorcycle crashes.|
|Description: ||An article published by Springer-Verlag GmbH Germany and also available at https://doi.org/10.1007/s10389-019-01047-7|
|Appears in Collections:||College of Science|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.