Multiple correspondence analysis applied to the study of the relationship between traffic crashes and precipitation on a highway in Brazil

Authors

  • Milena Arruda Silva Federal University of Paraná Construction Engineering Graduate Program
  • Leandro Canezin Guideli Federal University of Paraná Construction Engineering Graduate Program
  • Anselmo Chaves Neto Federal University of Paraná Department of Statistics
  • Larissa de Brum Passini Federal University of Paraná Construction Engineering Graduate Program
  • Alessander Christopher Morales Kormann Federal University of Paraná Construction Engineering Graduate Program

DOI:

https://doi.org/10.14295/transportes.v28i3.2044

Keywords:

Road accident. Rainfall. Qualitative analysis.

Abstract

The incorporation of meteorological data in road accident research has been considered essential in studies that aim to analyze traffic crashes behavior. Thus, this paper intended to explore the relationship between the occurrence of traffic crashes and weather conditions, especially daily precipitation, in a selected segment of the BR-376 Highway (state of Paraná, Brazil). A multiple correspondence analysis (MCA) was applied (Statgraphics software) in order to determine the relationship among crash data variables and precipitation. The MCA analysis allowed the creation of a perceptual map, grouping variables that are similar among themselves, which revealed that rainfall intensity was not significant in determining the accident characteristics. However, the presence/absence of rain was a conditioning circumstance. Concerning road safety, the study gives practical implications that can be used by traffic agencies as the implementation of traffic and educational signs in specific points of the highway.

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References

Abdi, H.; D. Valentin. (2007). Multiple correspondence analysis. Encyclopedia of measurement and statistics, p. 651-657.

Bergel-Hayat, R.; M. Debbarh; C. Antoniou; G. Yannis. (2013). Explaining the road accident risk: Weather effects. Accident Analysis and Prevention, Elsevier, n. 60, p. 456-465. https://doi.org/10.1016/j.aap.2013.03.006

Black, A. W.; T. L. Mote. (2015). Effects of winter precipitation on automobile collisions, injuries, and fatalities in the United States. Journal of Transport Geography, n. 48, p. 165-175. DOI:

1016/ j.jtrangeo.2015.09.007.

Brasil. Código de Trânsito Brasileiro (CTB). Lei Nº 9.503, de 23 de setembro de 1997 que institui o Código de Trânsito Brasileiro. Presidência da República. Casa Civil. Subchefia para Assuntos Jurídicos. Brasília: 2007.

Caleffi, F.; S. T. Lucchesi; M. J. Anzanello; H. B. B. Cybis. (2016). Influência das condições climáticas e de acidentes na caracterização do comportamento do tráfego em rodovias. Transportes, v. 24, n. 4, p. 57-63. DOI: 10.14295 / transportes.v24i4.1104.

Cheng, W.; G. S. Gill; T. Sakrani; M. Dasu; J. Zhou. (2017). Predicting motorcycle crash injury severity using weather data and alternative Bayesian multivariate crash frequency models. Accident Analysis and Prevention, n. 108, p. 172-180. DOI: 10.1016 / j.aap.2017.08.032.

Das S.; X. Sun. (2015). Factor association with multiple correspondence analysis in vehicle–pedestrian crashes. Transportation Research Record, v. 2519, n. 1, p. 95-103. DOI: 10.3141 / 2519-11.

Das, S.; X. Sun. (2016). Association knowledge for fatal run-off-road crashes by Multiple Correspondence Analysis. IATSS Research, v. 39, n. 2, p. 146-155. DOI: 10.1016/j.iatssr.2015.07.001.

Eisenberg, D. (2004). The mixed effects of precipitation on traffic crashes. Accident Analysis and Prevention, v. 36, n. 4, p. 637-647. DOI: 10.1016 / S0001-4575(03)00085-X.

Factor, R.; G. Yair; D. Mahalel. (2010). Who by accident? The social morphology of car accidents, Risk Analysis: An International Journal, v. 30, n. 9, p. 1411-1423. DOI: 10.1111 / j.1539-6924.2010.01423.x.

Ferreira, K. S. de M.; L. P. Sestrem; A. M. G. Acevedo; A. C. M. Kormann; V. P. Faro. (2018). Instrumentação geotécnica como ferramenta de gestão de riscos rodoviários: um estudo de caso no trecho de Serra do Mar da BR 376/PR. Revista Técnico-Científica do CREA-PR, v. 1, n. 11.

Fontaine, H. (1995). A typological analysis of pedestrian accidents. In: 7th workshop of ICTCT, Paris, p. 26–27.

Hasui, Y.; C. D. R. Carneiro; F. F. M. de Almeida; A. Bartorelli. (2012). Geologia do Brasil. Beca, p. 900.

Hermans, E.; T. Brijs; T. Stiers; C. Offermans. (2006). The impact of weather conditions on road safety investigated on an hourly basis. Transportation Research Board.

Hoffman, D. L.; J. Leeuw. (1992). Interpreting multiple correspondence analysis as a multidimensional scaling method. Marketing Letters, v. 3, n. 3, p. 259-272.

Kaciak, E.; J. Louviere. (1990). Multiple correspondence analysis of multiple choice experiment data. Journal of Marketing Research, v. 27, n. 4, p. 455-465. DOI: 10.1177/002224379002700407.

Karlaftis, M.; G. Yannis. (2010). Weather effects on daily traffic accidents and fatalities: a time series count data approach. In: Proceedings of the 89th Annual Meeting of the Transportation Research Board, January 10 14, Washington DC, USA.

Le Roux, B.; H. Rouanet. (2010). Multiple Correspondence Analysis, Sage Publications, Washington D.C.

Mannering, F. L.; C. R. Bhat. (2014). Analytic methods in accident research: Methodological frontier and future directions. Analytic Methods in Accident Research, v. 1, p. 1-22.

annering, F. L.; V. Shankar; C. R. Bhat. (2016). Unobserved heterogeneity and the statistical analysis of highway accident data. Analytic Methods in Accident Research, v. 11, p. 1-16.

Martensen, H.; N. Focant; K. Diependaele. (2016). Let’s talk about the weather – interpretation of short term changes in road accident outcomes. Transportation Research Procedia, v. 14, p. 96-104. DOI: 10.1016/j.trpro.2016.05.045.

Polícia Rodoviária Federal (PRF). Acidentes de trânsito. https://www.prf.gov.br/portal/dados-abertos/acidentes. Accessed Jan., 2019.

Sehaber, V. F. (2013). Análise estatística multivariada dos acidentes de trânsito da BR-376 no período entre os anos de 2009 e 2012. Master dissertation – Numerical Methods in Engineering, Federal University of Paraná, Curitiba.

Shankar, V.; F. Mannering; W. Barfield. (1995). Effect of roadway geometrics and environmental factors on rural freeway accident frequencies. Accident Analysis and Prevention, v. 27, n. 3, p. 371-389. DOI: 10.1016 / 0001-4575(94)00078-Z.

Smith, K. (2008). How seasonal and weather conditions influence road accidents in Glasgow. Scottish Geographical Magazine, v. 98, n. 2, p. 103-114. DOI: 10.1080 / 00369228208736523.

Theofilatos, A.; G. Yannis. (2014). A review of the effect of traffic and weather characteristics on road safety. Accident Analysis and Prevention, v. 72, p. 244-256. DOI: 10.1016 / j.aap.2014.06.017.

Trevizolli, M. N. B.; A. C. M. Kormann; V. P. Faro; L. P. Sestrem; L. D. B. Passini. (2018). Análise de registros históricos de precipitações e rupturas de encostas para composição de limiares pluviométricos visando monitoramento de taludes rodoviários. Revista Técnico-Científica do CREA-PR, v. 1, n. 11.

Victorino, M. M.; L. P. Sestrem; A. C. M. Kormann. (2017). Definição de uma faixa pluviométrica crítica para deflagração de movimentos de terra em taludes rodoviários localizados no trecho da serra do mar da rodovia BR 376/PR. Transportes, v. 25, n. 1, p. 113-120. DOI: 10.14295 / transportes.v25i1.1038.

Vieira, B. C.; M. F. Gramani. (2015). Serra do Mar: The most “tormented” relief in Brazil. Landscapes and Landforms of Brazil, p. 285-297. DOI: 10.1007 / 978-94-017-8023-0_26.

Wanvik, P. O. (2009). Effects of road lighting: An analysis based on Dutch accident statistics 1987-2006. Accident Analysis and Prevention, v. 41, n. 1, p. 123-128. DOI: 10.1016/j.aap.2008.10.003.

World Health Organization. The top 10 causes of death. www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death. Accessed July, 2018.

Zhang, C.; J. N. Ivan; W. M. ElDessouki; E. N. Anagnostou. (2005). Relative risk analysis for studying the impact of adverse weather conditions and congestion on traffic accidents. In: 84th annual meeting of the Transportation Research Board, Washington, USA.

Weller, S. C.; A. K. Romney. Metric scaling: Correspondence analysis. Sage, 1990.

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Published

2020-08-31

How to Cite

Arruda Silva, M., Canezin Guideli, L., Chaves Neto, A., de Brum Passini, L., & Morales Kormann, A. C. (2020). Multiple correspondence analysis applied to the study of the relationship between traffic crashes and precipitation on a highway in Brazil. TRANSPORTES, 28(3), 196–211. https://doi.org/10.14295/transportes.v28i3.2044

Issue

Vol. 28 No. 3 (2020)

Section

Artigos

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