Road traffic accidents (RTAs) present critical socio-economic, environmental, and public health challenges in developing urban regions. Global crash metrics attribute over 90% of traffic collisions in low- and middle-income nations to human error and driver behavioral patterns. In Addis Ababa, Ethiopia, public transit relies heavily on minibus taxis and city buses. Official crash metrics attribute 86% to 90% of traffic collisions in the city to driver errors and aberrant behavioral patterns. This study assesses road safety practices in relation to public transport driver behaviors in Addis Ababa using primary survey data (N=45) alongside 16-year historical crash trends (2002–2017). Statistical procedures—including K-Means Cluster Analysis, ANOVA, Pearson Correlation, and cross-tabulations—were executed via IBM SPSS Statistics. K-Means clustering established three distinct driver risk profiles: Young Novices (60.0%), Mid-Career Drivers (37.8%), and Senior Outliers (2.2%). Age (F=66.64, p<0.001) and driving experience (F=71.44, p<0.001) proved to be statistically significant predictors partitioning driver risk profiles. Younger drivers exhibited higher exposure to occupational fatigue (8+ driving hours daily), vehicle rental financial pressures, lower seatbelt compliance, and aggressive maneuvers.
| Published in | American Journal of Traffic and Transportation Engineering (Volume 11, Issue 5) |
| DOI | 10.11648/j.ajtte.20261105.14 |
| Page(s) | 117-123 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
Addis Ababa, Bus Drivers, Driver Behavior, Minibus, Public Transport, Road Safety, Traffic Accidents
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APA Style
Nega, Z. (2026). Assessment of Road Safety in Relation to Public Transport Driver Behavior in Addis Ababa, Ethiopia. American Journal of Traffic and Transportation Engineering, 11(5), 117-123. https://doi.org/10.11648/j.ajtte.20261105.14
ACS Style
Nega, Z. Assessment of Road Safety in Relation to Public Transport Driver Behavior in Addis Ababa, Ethiopia. Am. J. Traffic Transp. Eng. 2026, 11(5), 117-123. doi: 10.11648/j.ajtte.20261105.14
AMA Style
Nega Z. Assessment of Road Safety in Relation to Public Transport Driver Behavior in Addis Ababa, Ethiopia. Am J Traffic Transp Eng. 2026;11(5):117-123. doi: 10.11648/j.ajtte.20261105.14
@article{10.11648/j.ajtte.20261105.14,
author = {Zebider Nega},
title = {Assessment of Road Safety in Relation to Public Transport Driver Behavior in Addis Ababa, Ethiopia},
journal = {American Journal of Traffic and Transportation Engineering},
volume = {11},
number = {5},
pages = {117-123},
doi = {10.11648/j.ajtte.20261105.14},
url = {https://doi.org/10.11648/j.ajtte.20261105.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20261105.14},
abstract = {Road traffic accidents (RTAs) present critical socio-economic, environmental, and public health challenges in developing urban regions. Global crash metrics attribute over 90% of traffic collisions in low- and middle-income nations to human error and driver behavioral patterns. In Addis Ababa, Ethiopia, public transit relies heavily on minibus taxis and city buses. Official crash metrics attribute 86% to 90% of traffic collisions in the city to driver errors and aberrant behavioral patterns. This study assesses road safety practices in relation to public transport driver behaviors in Addis Ababa using primary survey data (N=45) alongside 16-year historical crash trends (2002–2017). Statistical procedures—including K-Means Cluster Analysis, ANOVA, Pearson Correlation, and cross-tabulations—were executed via IBM SPSS Statistics. K-Means clustering established three distinct driver risk profiles: Young Novices (60.0%), Mid-Career Drivers (37.8%), and Senior Outliers (2.2%). Age (F=66.64, p<0.001) and driving experience (F=71.44, p<0.001) proved to be statistically significant predictors partitioning driver risk profiles. Younger drivers exhibited higher exposure to occupational fatigue (8+ driving hours daily), vehicle rental financial pressures, lower seatbelt compliance, and aggressive maneuvers.},
year = {2026}
}
TY - JOUR T1 - Assessment of Road Safety in Relation to Public Transport Driver Behavior in Addis Ababa, Ethiopia AU - Zebider Nega Y1 - 2026/10/28 PY - 2026 N1 - https://doi.org/10.11648/j.ajtte.20261105.14 DO - 10.11648/j.ajtte.20261105.14 T2 - American Journal of Traffic and Transportation Engineering JF - American Journal of Traffic and Transportation Engineering JO - American Journal of Traffic and Transportation Engineering SP - 117 EP - 123 PB - Science Publishing Group SN - 2578-8604 UR - https://doi.org/10.11648/j.ajtte.20261105.14 AB - Road traffic accidents (RTAs) present critical socio-economic, environmental, and public health challenges in developing urban regions. Global crash metrics attribute over 90% of traffic collisions in low- and middle-income nations to human error and driver behavioral patterns. In Addis Ababa, Ethiopia, public transit relies heavily on minibus taxis and city buses. Official crash metrics attribute 86% to 90% of traffic collisions in the city to driver errors and aberrant behavioral patterns. This study assesses road safety practices in relation to public transport driver behaviors in Addis Ababa using primary survey data (N=45) alongside 16-year historical crash trends (2002–2017). Statistical procedures—including K-Means Cluster Analysis, ANOVA, Pearson Correlation, and cross-tabulations—were executed via IBM SPSS Statistics. K-Means clustering established three distinct driver risk profiles: Young Novices (60.0%), Mid-Career Drivers (37.8%), and Senior Outliers (2.2%). Age (F=66.64, p<0.001) and driving experience (F=71.44, p<0.001) proved to be statistically significant predictors partitioning driver risk profiles. Younger drivers exhibited higher exposure to occupational fatigue (8+ driving hours daily), vehicle rental financial pressures, lower seatbelt compliance, and aggressive maneuvers. VL - 11 IS - 5 ER -