Assessing the Main Risk Traits Associated With Motorcycle Accidents among the Motorcycle Riders in Kiambu County, Kenya

Authors

  • Michael Maru Kenyatta University
  • Justus Osero Kenyatta University
  • Harun Kimani Kenyatta University

DOI:

https://doi.org/10.53819/81018102t2421

Abstract

Motorcycles are increasingly popular as a mode of transport, particularly in rural areas of Kenya, due to affordability and accessibility. However, the rise in motorcycle usage has led to numerous fatal accidents, making it a major cause of death and injuries. This study aimed to determine the main risk traits associated with motorcycle accidents among riders in Kiambu County. The conceptual framework examined the relationship between risk traits as independent variables (over speeding, riding under influence, rider fatigue, experience, motorcycle defects, road conditions, regulatory non-compliance) and motorcycle safety as the dependent variable measured by accident occurrence. The study adopted a quasi-experimental research design, with motorcycle taxi riders in Kiambu County as the target population. Using simple random sampling, a sample of 140 riders was achieved. Questionnaires were used for primary data collection and analyzed quantitatively using SPSS. The findings indicate majority of accidents occurred in bends (32%), roundabouts/junctions (28%), entrances (13%), bumps (12%) and crossings (11%). The main causes were rider misjudgement/inattention (42%), steering issues around bends/junctions (21%), potholes/uneven surfaces (15%), wet/slippery surfaces (10%), motorcycle faults (9%) and intimidation by other vehicles (3%). Majority had little knowledge in riding skills enhancement (42.9%), first aid (45%), health/safety (43%) and accident avoidance (45.7%). T-tests showed knowledge gaps in riding skills (F=8.320, p=0.005), accident avoidance (F=4.131, p=0.018), bike maintenance (F=4.223, p=0.042) and road craft (F=5.416, p=0.012) were significantly related to accident occurrence. The study concludes the main risk traits are linked to accident-prone locations, rider inattention/misjudgement, and lack of crucial safety knowledge. Recommendations include comprehensive training on navigating risk areas, improving judgment/steering, motorcycle maintenance, first aid, and partnering with authorities to enhance road conditions and implement safety measures through the licensing process.

Author Biographies

Michael Maru, Kenyatta University

Kenyatta University

Justus Osero, Kenyatta University

Department of Community Health and Epidemiology, Kenyatta University

Harun Kimani, Kenyatta University

Department of Community Health and Epidemiology, Kenyatta University

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Published

2024-07-12

How to Cite

Maru, M., Osero, J., & Kimani, H. (2024). Assessing the Main Risk Traits Associated With Motorcycle Accidents among the Motorcycle Riders in Kiambu County, Kenya. Journal of Medicine, Nursing & Public Health, 7(2), 1–15. https://doi.org/10.53819/81018102t2421

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Articles