IDENTIFICATION OF ACCIDENT LOCATION AND DEGREE OF VULNERABILITY ALONG OSOGBO-GBONGAN ROAD, OSUN STATE, NIGERIA

Authors

  • Olusola Olayemi Fadipe Department of Civil Engineering Osun State University, Osogbo, Osun State, Nigeria
  • Fawaz Adekilekun Mutiu Department of Civil Engineering Osun State University, Osogbo, Osun State, Nigeria
  • Oluwole Ayodeji Olawuyi Department of Civil Engineering Osun State University, Osogbo, Osun State, Nigeria
  • Mutiu Abiodun Kareem Department of Civil Engineering Osun State University, Osogbo, Osun State, Nigeria https://orcid.org/0000-0002-9944-2938
  • Kazeem Ishola Department of Civil Engineering Osun State University, Osogbo, Osun State, Nigeria
  • Kehinde Adenike Oyewole Department of Chemical Engineering Osun State University, Osogbo, Osun State, Nigeria

DOI:

https://doi.org/10.11113/mjce.v36.20995

Keywords:

RTAs, T.SPWEG-AV Index, Blackspot, Minor, Fatal

Abstract

Road traffic accidents (RTAs) remain a significant global concern and leading cause of death of people within the economically active age-group in developing countries thereby mounting negative effect on people’s health, economy and the society at large. This research aimed at developing a prediction model for accident prone areas along Osogbo-Gbongan road as past studies revealed that the study area reported the highest RTAs in Osun State, Nigeria. Four years accident data obtained from FRSC, Osogbo Branch was characterized in terms of casualty, accident causes and location and affected age-groups (Adult/Children). Geometric parameters were obtained onsite by physical measurement to estimate the vulnerability of the road at blackspot locations. The identified accident blackspots were Ogo-oluwa (02+000), Ataoja (04+000), Abeere (06+000), Owode (10+000) and Akoda (15+000) with their vulnerability indices as 53, 67, 78, 66 and 70, respectively. The obtained total occurrence of accidents in 2018, 2019, 2020 and 2021 were 144, 128, 168 and 313, respectively with speed violation as the highest causative factor. Abeere Area has the highest accident occurrence of 31 and the highest T.SPWEG-A.V.I of 78 with three other locations showing similar pattern except Owode Area. Therefore, this model showed a perfect correlation of 80% thereby ensuring the validity of the model for predicting the accident vulnerability at accident locations. This study concluded that accident in this area can be characterized as minor, serious and fatal with the fatal causing deaths. The speed violation and poor road geometry were the primary factors contributing to the severity of accident and it will continue to increase if urgent intervention is not applied. The study recommended that speed law should be enforced, presence of safety personnel at the noon part of the day and those in charge of road design, supervision and construction should uphold good practice and rehabilitate the existing road geometry so as to curtail accident reoccurrence along the study area.

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Published

2024-03-31

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Articles

How to Cite

IDENTIFICATION OF ACCIDENT LOCATION AND DEGREE OF VULNERABILITY ALONG OSOGBO-GBONGAN ROAD, OSUN STATE, NIGERIA. (2024). Malaysian Journal of Civil Engineering, 36(1), 1-7. https://doi.org/10.11113/mjce.v36.20995