Modelling the risk factors for injury severity in motorcycle users in Ghana

Eric Nimako Aidoo*, Richard Amoh-Gyimah

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)199-209
Number of pages11
JournalJournal of Public Health
Volume28
Issue number2
DOIs
Publication statusPublished - Apr 2020

Keywords

  • Generalized ordered logit
  • Injury severity
  • Motorcycle
  • Pillion passenger
  • Rider
  • Traffic crashes

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

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