Assessment of the Impact of Namibian Rural Road Characteristics on Crash Incidence
DOI: 10.30958/ajte.7-1-2
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Summary
This study investigates the factors contributing to road traffic crashes on rural roads in Namibia, specifically focusing on the T0107 national rural road section between Otjiwarongo and Okahandja. Motivated by Namibia’s high road injury fatality rate, which exceeds the African continental average, the research aims to identify hazardous road sections and understand the interplay between driver behavior, road design elements, and crash incidence. The authors seek to provide data-driven insights for stakeholders to develop effective safety measures and address the multifaceted nature of road safety, encompassing human, vehicle, and infrastructure factors. The methodology involved a comprehensive analysis of road crash data from the Namibian National Road Safety Council for the period 2011 to 2015, alongside a cross-sectional road design audit. The study section, identified as one of the ten most hazardous rural roads in Namibia, was divided into three segments for analysis using QGIS heat mapping. Crash rates were calculated based on Annual Average Daily Traffic (AADT) and road length. To assess compliance with safety standards, the road’s geometric design was evaluated against the Technical Recommendations for Highways 17 (TRH 17). Multivariate road crash prediction models were developed using Negative Binomial Regression to quantify the relationship between specific road design covariates—such as lane width, shoulder width, operating speed, and horizontal curve radii—and crash rates of various severities. The results revealed that animals and pedestrians were the primary cause of crashes, accounting for nearly half of all incidents on the most hazardous section. Drivers losing control of vehicles was the second leading cause, often linked to speeding and negative road design features that mislead driver perception. The road audit identified non-compliance with TRH 17 standards regarding shoulder grades and lane widths. Statistical modeling demonstrated significant interactive relationships between design elements and crash rates. Specifically, the combination of lane widths and shoulder widths accounted for 84.1% of the variance in crash rates, with wider lanes correlating with fewer crashes. Similarly, the interaction between lane width, 85th percentile operating speed, and shoulder width explained 87.3% of the variance. Horizontal curve radii also significantly influenced crash rates, with smaller radii associated with higher risk. Additionally, the study highlighted a critical issue of under-reporting, with approximately 15% of crash causes recorded as "unknown," hindering accurate safety assessments. The significance of this research lies in its identification of specific geometric and behavioral factors driving crash risks on Namibian rural roads. The findings underscore the urgent need for infrastructure improvements, such as installing barriers to separate traffic from non-motorized users and animals, and rectifying non-compliant road designs. Furthermore, the study emphasizes the necessity for improved data collection systems to reduce under-reporting and enable more precise safety interventions. By linking specific design flaws to crash frequencies, the paper provides a framework for targeted remedial measures to sustainably reduce road fatalities and injuries in developing regions.
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-25 |
| archive | success | canonical_url | — | — | 1 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-26 |
| chunk | success | chunk | — | — | 1 | 2026-06-26 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-26 |
| enrich | success | openalex | — | — | 1 | 2026-06-26 |
| promote | success | — | — | — | 1 | 2026-06-25 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-26 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
Topics
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- incidence prevalence
- comparative international
- demographic disparities
- urban rural setting
- roadway lighting effects
- crash typology
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Empirical Findings: crash risk outcomes
- Methodological Resource: dataset resource