SPATIAL AND TEMPORAL ANALYSIS OF TRAFFIC ACCIDENTS IN THE FEDERAL DISTRICT ROAD SYSTEM, BRAZIL (2014–2023)
DOI:
https://doi.org/10.14393/RCG2778709Keywords:
Spatial analysis, Traffic safety, Geographically Weighted RegressionAbstract
This study aims to analyze the spatial and temporal patterns of traffic accidents on the Road System of the Federal District, Brazil, between 2014 and 2023, based on 16,865 georeferenced records. The methodology integrates inferential statistical techniques and spatial analysis tools using Geographic Information Systems. Analysis of Variance (ANOVA) and Tukey’s post hoc test were applied to daily accident counts, grouped into two-hour time slots and days of the week, in order to assess whether incidence varied significantly across temporal categories. Spatial clustering was examined through Hot Spot Analysis using the Getis-Ord Gi* index to detect areas of high and low accident concentration. Additionally, Geographically Weighted Regression was used to model the localized effects of explanatory variables including elevation, per capita income, and average daily traffic. The results reveal statistically significant spatial patterns and temporal differences, highlighting the relevance of geospatial approaches in evidence-based traffic safety planning and territorial management.
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Copyright (c) 2026 Janduhy Pereira dos Santos, Valdir Adilson Steinke, Maurício Theodósio Mattos Marques, Ricardo Shameshima Taba, Andrea Amaziles Antunes Alves de Carvalho Lousada, Bruno Maia Soriano Lousada, Jesus Mauro Vieira de Oliveira, Caroline Ribeiro Chahini

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