Abstract: To reduce traffic accidents, an accurately estimated model is needed to capture the true relationships between the injury severity and risk factors. This study aims to propose a robust procedure to address the biases in police-reported accident data and subsequently to conduct sensitivity analyzes in order to estimate the variations in injury severity and distraction probability based on drivers? behaviors/characteristics and psychophysical conditions. The results show that: (i) the excess speed will likely increase the probability of serious/fatal injury for drivers of all age groups by 10%; (ii) distraction and driver? errors will likely increase the probability of serious/fatal injury in all drivers driving at a proper speed up to 1.5%; (iii) alcohol and drug consumption can significantly increase the probability of being distracted and making errors by 28.5% and 33.5% respectively; (iv) Alcohol consumption reduces the probability of driving at an appropriate speed in drivers under 25 by 40%. However, the results for drugs consumption are not as significant as the ones for alcohol consumption.
Fuente: Safety Science 125 (2020) 104586
Fecha de publicación: 01/05/2020
Nº de páginas: 15
Tipo de publicación: Artículo de Revista
Url de la publicación: https://doi.org/10.1016/j.ssci.2019.104586
JOSE MANUEL GUTIERREZ LLORENTE
SIXTO HERRERA GARCIA
MARISCAL, M. A.