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. It was evident that the marginal effect on the accident rate for motorcycles is well above that for cars and buses. A total of 69 accident-prone sections were identified in the city.

Some accident-prone sections in the city of Cartagena (Colombia) are specifically identified by the empirical Bayesian method based on GIS. This paper examines the relationship between urban road accidents and variables related to road infrastructure, environment, traffic volumes and traffic control. The quantitative techniques employed are usually highly aggregated and will not correctly identify the determinant variables of the problem. For this reason, a technical study of this important public health scourge is important. The problem of urban road accidents in Colombia is remarkable and has a significant magnitude. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Received in revised form: August 26 th, 2015. Programa de Ingeniería de Transporte y Vías, Universidad Pedagógica y Tecnológica de Colombia, Tunja, Colombia. Facultad de Ingeniería, Programa de Ingeniería Civil, Universidad de Cartagena, Cartagena, Colombia. Víctor Cantillo a, Patricia Garcés b & Luis Márquez cĪ Departamento de Ingeniería Civil y Ambiental, Universidad del Norte, Barranquilla, Colombia.

Factors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approachįactores que influyen en la ocurrencia de accidentes de tránsito en vías urbanas: Un enfoque combinado GIS-Bayesiano empírico

Gis panorama 12 crack