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Authors

DOI:

https://doi.org/10.14295/transportes.v23i4.926

Keywords:

ordered models, severity of motorcycle crashes, probit and logit categorical models.

Abstract

The Brazilian roadway traffic environmental has experienced a disproportionate development in the use of motorcycles over the last 15 years. The same trend has been observed for the number of traffic accidents in the category in part by their relative vulnerability. The objective of this study is to identify factors that influence the severity of motorcycle acci-dents in urban streets of Fortaleza with the use of ordered probit and logit models. Ordered categorical models using a sample of 3,232 observations of traffic accidents from 2004 to 2011 were developed. The resulting severity of traffic accidents was classified into four categories. The results of the model calibration indicated that riders who use helmets and traveled during the day have a lower risk of suffering severe injuries. Otherwise, older riders and those involved in an acci-dent on the weekend had a higher risk of suffering more severe injuries.

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Author Biography

Carlos Henrique Loiola Coutinho, Universidade Federal do Ceará

Pesquisador CNPq/PIBIC no Departamento de Engenharia de Transportes desde 2013. Área: segurança viária.

References

Abdel-Aty, M. (2003) Analysis of Driver Injury Severity Levels at Multiple Locations Using Ordered Probit Models. Journal of Safety Research, v. 34, n. 5, p. 597-603. DOI:10.1016/j.jsr.2003.05.009.

AMC (2012) Anuário estatístico de acidentes de trânsito de Fortaleza – 2004 à 2011. Autarquia Municipal de Trânsito, Serviços Públicos e Cidadania, Prefeitura Municipal de Fortaleza, Fortaleza, CE.

Bajracharya, S. (2013) Intersection Accident Analysis Using Ordered Probit Model. Proceedings of Eastern Asia Society for Transportation Studies, v. 9, p. 379. ISSN:1881-1132

Chung, Y.; Song, T. E B. Yoon (2014) Injury Severity in Delivery-motorcycle to Vehicle Crashes in the Seoul Metropolitan Area. Accident Analysis and Prevention, v. 62, p. 79-86. DOI: 10.1016/j.aap.2013.08.024.

Couto, A. E S. Ferreira (2012) Método Probabilístico para Identificação de Zonas de Acumulação de Acidentes. Anais do XXVI Congresso de Pesquisa e Ensino em Transportes, ANPET, Joinville, v. 21, n. 3, p. 48-55. DOI:10.4237/transportes.v21i3.683.

Ferreira, S. (2010) A Segurança Rodoviária no Processo de Planeamento de Redes de Transportes. Ph.D. dissertation, University of Porto.

Greene, W.H. E D.A Hensher (2010) Modeling Ordered Choices: A Primer and Recent Developments, Cambridge University Press, Cambridge.

Holz, R. F. (2013) Motocicletas: Uma Realidade Inconveniente.

Qualificação de Doutorado, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS.

Holz, R. F.; Korzenowski, A.; Nodari, C. T.; Lindau, L. A. E C. S. T Caten (2011) Modelagem dos Acidentes Envolvendo Motociclistas em Porto Alegre. Anais do XXV Congresso de Pesquisa e Ensino em Transportes,

ANPET, Belo Horizonte. Panorama Nacional da Pesquisa em Transportes, v. 1, p. 1553-1564.

INCT (2013) Evolução da Frota de Automóveis no Brasil 2001 – 2012. Observatório das Metrópoles, Instituto Nacional de Ciência e Tecnologia, Ministério de Ciência e Tecnologia, Brasília, DF.

Kockelman, K. M. E Y. J. Kweon (2002) Driver Injury Severity: an Application of Ordered Probit Models. Accident Analysis and Prevention, v. 34, p. 313-321. DOI: 10.1016/S0001-4575(01)00028-8.

Kononen, D. W.; Flannagan, C. E S. Wong (2011) Identification and Validation of a Logistic Regression Model for Predicting Serious Injuries Associated with Motor Vehicle Crashes. Accident Analysis and Prevention, v. 43, n. 1, p. 112-122. DOI: 10.1016/j.aap.2010.07.018.

Mannering, F. L. E C.R. Bhat (2014) Analytic Methods in Accident Research: Methodological Frontier and Future Directions. Analytic Methods in Accident Research, v. 1, p. 1-22. DOI: 10.1016/j.amar.2013.09.001.

O’donnell, C. J. E D.H. Connor (1996) Predicting the Severity of Motor Vehicle Accident Injuries Using Models of Ordered Multiple Choice. Accident Analysis and Prevention, v. 28, n. 6, p. 739-753. DOI: 10.1016/S0001-4575(96)00050-4.

Obeng, K. (2011) Gender Differences in Injury Severity Risks in Crashes at Signalized Intersections. Accident Analysis and Prevention, v. 43, n. 4, p. 1521-1531. DOI: 10.1016/j.aap.2011.03.004.

Velozo, P. L. C. (2009) Modelos para Dados Categóricos com Estrutura Temporal. Dissertação de Mestrado, Instituto de Matemática, Departamento de Métodos Estatísticos, UFRJ, Rio de Janeiro.

Waiselfisz, J.J. (2013) Mapa da violência 2013: Acidentes de Trânsito e Motocicletas. Rio de Janeiro.

Yasmin, S. E N. Eluru (2013) Evaluating Alternate Discrete Outcome Frameworks for Modeling Crash Injury Severity. Accident Analysis & Prevention, v. 59, p. 506-521. DOI: 10.1016/j.aap.2013.06.040.

Ye, F. E D. Lord (2014) Comparing Three Commonly Used Crash Severity Models on Sample Size Requirements: Multinomial Logit, Ordered Probit, and Mixed Logit. Analytic Methods in Accident Research, v. 1, p. 72-85. DOI: 10.1016/j.amar.2013.03.001.

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Published

2015-11-09

How to Cite

Coutinho, C. H. L., Cunto, F. J. C., & Ferreira, S. M. P. (2015). . TRANSPORTES, 23(4), 60–66. https://doi.org/10.14295/transportes.v23i4.926

Issue

Vol. 23 No. 4 (2015): Prêmio ANPET de Produção Científica 2014

Section

Artigos Vencedores do Prêmio ANPET Produção Científica

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