Exploring Heavy Goods Vehicle Operators’ Opinions on E-Learning for Enhanced Road Safety in Ethiopia: Insights from the Addis Ababa-Djibouti Trade Corridor
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Summary
This study investigates the effectiveness of current safety training and the readiness of Heavy Goods Vehicle (HGV) operators in Ethiopia to adopt e-learning interventions. The research is motivated by Ethiopia’s high road traffic fatality rate and the disproportionate safety burden associated with freight transport, particularly along the Addis Ababa–Djibouti corridor, which handles approximately 95% of the country’s international trade. Despite widespread participation in conventional classroom-based training, crash involvement among HGV drivers remains persistently high. The study aims to identify gaps between training provision and real-world safety outcomes, explore drivers’ perceptions of existing programs, and determine barriers and motivators for adopting technology-enhanced safety education. The researchers employed a cross-sectional survey design, collecting data from 202 male HGV drivers operating along the Addis Ababa–Djibouti corridor. Participants were recruited from twelve transport companies selected via random sampling from a list provided by the Ministry of Transport and Logistics. The study utilized a structured, self-administered questionnaire grounded in three theoretical frameworks: the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and Self-Determination Theory (SDT). The survey assessed demographic data, crash history, previous safety training experiences, perceived safety challenges, and attitudes toward e-learning, including perceived usefulness, ease of use, and motivational factors. Data collection occurred between August 2022 and April 2023. The findings reveal a significant disconnect between training exposure and safety performance. Older and mid-career drivers exhibited higher crash involvement, whereas younger and more educated drivers demonstrated greater readiness for technology-enhanced training. Although most drivers valued safety training, many criticized existing programs as repetitive, insufficiently interactive, and poorly aligned with operational demands. Key facilitators for e-learning adoption included flexible schedules, ease of use, and motivational support. Conversely, limited digital skills and low perceived usefulness remained significant barriers for certain groups. The results also highlighted persistent safety risks such as fatigue and unsafe driving behaviors that current training methods fail to adequately address. The study concludes that traditional training methods are insufficient for reducing crash rates among Ethiopian HGV operators. It advocates for the development of age-responsive, flexible, and interactive e-learning approaches that complement conventional training. By integrating behavioral theories into digital learning design, policymakers and training organizations can create scalable, context-sensitive interventions tailored to the specific needs of drivers on high-risk freight corridors. These findings provide a foundation for evidence-based policy reforms and the implementation of technology-enhanced safety strategies to improve road safety and logistics security in Ethiopia.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-19 |
| archive | success | openalex | — | — | 5 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-19 |
| chunk | success | chunk | — | — | 1 | 2026-06-19 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-19 |
| promote | success | — | — | — | 1 | 2026-06-19 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-19 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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