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 explanatory variables.
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.
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Acknowledgements
The authors are most grateful to the staff of the Building and Road Research Institute, and also to Dr. Martin Owusu Ansah, for their useful comments and suggestions.
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This research did not receive any grants from funding agencies in the public, commercial, or not-for-profit sector.
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Aidoo, E.N., Amoh-Gyimah, R. Modelling the risk factors for injury severity in motorcycle users in Ghana. J Public Health (Berl.) 28, 199–209 (2020). https://doi.org/10.1007/s10389-019-01047-7
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DOI: https://doi.org/10.1007/s10389-019-01047-7