Infrastructure, Development, and Vulnerability: The Uneven Effects of Rainfall on Highway Safety in Brazil

  • Victor A. L. Brasileiro UFAL
  • Geymerson S. Ramos Inria, INSA Lyon / UFAL
  • Andre L. L. Aquino UFAL

Resumo


This study presents a nationwide assessment of the association between rainfall and crash occurrence on the Brazilian federal highway network across the 27 states. The alignment between these seasonal patterns is quantified using Spearman’s correlation. The results reveal pronounced spatial variability in both the direction and magnitude of the rainfall–crash relationship. Significant negative correlations are concentrated in the North, whereas significant positive correlations are observed mainly in the Southeast and in Paraíba. A Fisher-z regression shows a positive, statistically significant association between state GDP and the strength of the correlations, indicating that more economically developed states in Brazil are more sensitive to weather-related impacts on highway safety.

Referências

Becker, N., Rust, H. W., and Ulbrich, U. (2022). Weather impacts on various types of road crashes: a quantitative analysis using generalized additive models. European Transport Research Review, 14(1):37.

Costa, J., Bernardini, F., Lima, T., and Viterbo, J. (2014). Uma análise da qualidade dos dados relativos aos boletins de ocorrências das rodovias federais brasileiras para o processo de mineração de dados. In Anais do VI Workshop de Computação Aplicada em Governo Eletrônico, pages 9–16, Porto Alegre, RS, Brasil. SBC.

Goel, R., Tiwari, G., Varghese, M., and Bhalla, K. (2024). Effectiveness of road safety interventions: An evidence and gap map. Campbell Systematic Reviews, 20(2):e1402.

Guideli, L. C., Cuenca, A. L. R., Silva, M. A., Passini, L. B., and Pinheiro, J. H. S. (2021). Road crashes and field rainfall data: mathematical modeling for the Brazilian mountainous highway BR-376/PR. Transportes, 29(3).

Guimarães, A. G. and da Silva, A. R. (2019). Impact of regulations to control alcohol consumption by drivers: an assessment of reduction in fatal traffic accident numbers in the federal district, brazil. Accident Analysis & Prevention, 127:110–117.

Harirforoush, H., Bellalite, L., and Bénié, G. B. (2019). Spatial and temporal analysis of seasonal traffic accidents. American Journal of Traffic and Transportation Engineering, 4(1):7–14.

IBGE (2023). Brasil PIB 2023. [link]. Last accessed: February 26, 2026.

INMET (2025). Instituto Nacional de Meteorologia (INMET): Dados históricos de precipitação. [link]. Last accessed: February 11, 2026.

Mantovani, D., Cardoso, D. S., and Leal, G. A. (2025). Reduction of traffic accidents and deaths in Brazil: A data-driven approach. In Proceedings of the 2025 AIS SIGSAND Symposium. AIS Electronic Library (AISeL).

Myers, L. and Sirois, M. J. (2014). Spearman correlation coefficients, differences between. Wiley StatsRef: Statistics Reference Online.

PRF (2025). Polícia Rodoviária Federal (PRF) — Dados Abertos PRF. [link]. Last accessed: February 11, 2026.

Silver, N. C. and Dunlap, W. P. (1987). Averaging correlation coefficients: should fisher’s z transformation be used? Journal of applied psychology, 72(1):146.

Zhang, K., Wang, S., Song, C., Zhang, S., and Liu, X. (2024). Spatiotemporal heterogeneity analysis of provincial road traffic accidents and its influencing factors in China. Sustainability, 16(17):7348.

Zou, X., Sun, L., Lan, T., Fan, C., Liu, S., Zhao, H., and Qiu, J. (2024). The effects of weather factors on road traffic casualties: Analysis on provincial panel data of China from 2006 to 2021. Heliyon, 10(17):e36788.
Publicado
19/07/2026
BRASILEIRO, Victor A. L.; RAMOS, Geymerson S.; AQUINO, Andre L. L.. Infrastructure, Development, and Vulnerability: The Uneven Effects of Rainfall on Highway Safety in Brazil. In: LATIN AMERICAN SYMPOSIUM ON DIGITAL GOVERNMENT (LASDIGOV), 14. , 2026, Gramado/RS. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2026 . p. 181-192. ISSN 2763-8723. DOI: https://doi.org/10.5753/lasdigov.2026.21769.