Quantitative analysis reveals traffic patterns and high-risk areas for motorcycle accidents in Manaus, suggesting public health interventions.
Traffic accidents represent a serious public health issue in Brazil, with motorcycles being one of the most fatal transport modes. This study aims to analyze the spatial and temporal patterns of fatal motorcycle accidents in the city of Manaus between 2020 and the first half of 2024. The research adopts a quantitative, descriptive, and exploratory approach, based on data from the Municipal Institute of Urban Mobility (IMMU), obtained from the Institute of Legal Medicine (IML). To classify accidents, the Traffic Engineering Company (CET, 2012) methodology was applied, categorizing occurrences into three domains: human, vehicular, and environmental factors. The data were analyzed using descriptive and geospatial statistics, with SPSS and QGIS software used to identify temporal trends and high-risk areas. The results indicate that fatal motorcycle accidents have a higher incidence at specific times of the day, days of the week, and in particular areas of the city, highlighting the need for preventive actions, such as enhanced traffic enforcement, improvements in road infrastructure, and awareness campaigns. It is concluded that analyzing these patterns can support public policies aimed at reducing traffic mortality in Manaus.
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Guimarães et al. (2025) studied this question.
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