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Factors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approach

Cantillo, Víctor and Garcés, Patricia and Márquez, Luis (2016) Factors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approach. DYNA, 83 (195). pp. 21-28. ISSN 2346-2183

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Resumen

The problem of urban road accidents in Colombia is remarkable and has a significant magnitude. For this reason, a technical study of this important public health scourge is important. The quantitative techniques employed are usually highly aggregated and will not correctly identify the determinant variables of the problem. This paper examines the relationship between urban road accidents and variables related to road infrastructure, environment, traffic volumes and traffic control. Some accident-prone sections in the city of Cartagena (Colombia) are specifically identified by the empirical Bayesian method based on GIS. A total of 69 accident-prone sections were identified in the city. It was evident that the marginal effect on the accident rate for motorcycles is well above that for cars and buses. Empirical evidence also showed that the sections located in commercial areas tend to have higher frequency of accidents due to the high presence of pedestrians.

Tipo de documento:Artículo - Article
Palabras clave:urban road accident, accident-prone sections, empirical Bayesian approach, Geographic Information System
Temática:6 Tecnología (ciencias aplicadas) / Technology > 62 Ingeniería y operaciones afines / Engineering
Unidad administrativa:Revistas electrónicas UN > Dyna
Código ID:58922
Enviado por : Dirección Nacional de Bibliotecas STECNICO
Enviado el día :31 Oct 2017 17:20
Ultima modificación:27 Noviembre 2017 22:04
Ultima modificación:27 Noviembre 2017 22:04
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