article · Discover Civil Engineering
This study investigated road traffic crash patterns in Ghana's Central Region between 2014 and 2024, aiming to understand why crash rates continue to rise despite existing safety interventions. Researchers analysed historical crash data from the National Road Safety Authority using descriptive statistics and Poisson regression. The findings revealed a consistent increase in crashes over the decade, with total crashes rising by 38% and fatal crashes by 68%. Adult males were identified as the primary demographic among fatalities. The statistical analysis confirmed a significant upward trend in crash occurrence. This localised evidence is intended to guide the development of more effective, data-driven road safety interventions to reduce incidents and improve public health outcomes in the region.
Understanding the specific patterns and trends of road crashes is crucial for developing effective strategies to prevent injuries and save lives. This research provides vital, localised data that can help policymakers and safety organisations design targeted interventions, ultimately improving public health and safety on the roads in Ghana's Central Region.
This research provides foundational evidence for informing targeted road safety interventions. Potential users include government agencies like the National Road Safety Authority, public health organisations, and urban planners, who can utilise these findings to design and implement more effective prevention programmes. This work is early-stage research, providing data and insights rather than a direct product, to guide policy and intervention development.
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Road traffic crashes (RTCs) remain a major public safety challenge in Ghana, with fatality rates in regions such as the Central Region continuing to rise despite ongoing road safety interventions, including infrastructure upgrades and public education campaigns. This persistence suggests that long-term patterns and temporal changes in regional crash occurrence remain insufficiently understood. This study analysed RTC patterns in Ghana’s Central Region from 2014 to 2024 using historical crash data from the National Road Safety Authority. Descriptive statistics and Poisson regression were used to identify temporal trends. The analysis examined crash frequency, severity, vehicle involvement, pedestrian casualties, and the demographic characteristics of fatally injured persons. The findings revealed a steady increase in crashes over the study period, with total crashes rising by 38% (from 757 to 1,046) and fatal crashes by 68%. Adult males accounted for the majority of fatalities. Poisson regression results confirmed a statistically significant increase in crash occurrence over time (IRR = 1.037, 95% CI: 1.031–1.043). These findings provide localised evidence to inform targeted, data-driven road safety interventions aimed at reducing crash occurrence and severity and improving road safety and public health outcomes in the Central Region.
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DOI: 10.1007/s44290-026-00601-z
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