International Journal of Research and Scientific Innovation (IJRSI)
Community Perceptions of Road Traffic Accident Causality in Central and Upper River Regions’ South of the Gambia: A Comprehensive Mixed-Methods Analysis for Evidence-Based Road Safety
Published March 5, 2026 • Vol. 13, Issue 2, pp. 1021–1050Open Access
DOI: 10.51244/IJRSI.2026.13020093
Abstract
Road traffic accidents remain a devastating public health crisis in low and middle-income countries, which account for over 90% of global fatalities despite having less than 60% of the world's vehicles. This study investigates community perceptions of accident causes in The Gambia's Central River and Upper River Regions using a mixed-methods approach that combined surveys, open-ended responses, and direct observation of road conditions.
Keywords: Road Traffic Accidents, Community Perceptions, Causal Attribution, Participatory Policy
| Journal | International Journal of Research and Scientific Innovation (IJRSI) |
|---|---|
| ISSN | 2321-2705 |
| Volume / Issue | Volume 13, Issue 2 |
| Pages | 1021–1050 |
| Publication date | March 5, 2026 |
| DOI | 10.51244/IJRSI.2026.13020093 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Sulayman Ceesay, & Demba SM Yabou (2026). Community Perceptions of Road Traffic Accident Causality in Central and Upper River Regions’ South of the Gambia: A Comprehensive Mixed-Methods Analysis for Evidence-Based Road Safety. International Journal of Research and Scientific Innovation (IJRSI), 13(2), 1021-1050. https://doi.org/10.51244/IJRSI.2026.13020093
BibTeX
@article{Sulayman2026,
title = {Community Perceptions of Road Traffic Accident Causality in Central and Upper River Regions’ South of the Gambia: A Comprehensive Mixed-Methods Analysis for Evidence-Based Road Safety},
author = {Sulayman Ceesay and Demba SM Yabou},
journal = {International Journal of Research and Scientific Innovation (IJRSI)},
volume = {13},
number = {2},
pages = {1021--1050},
year = {2026},
doi = {10.51244/IJRSI.2026.13020093},
publisher = {RSIS International}
}