Estudio de los factores de infraestructura y comportamiento en los accidentes de tráfico en la ciudad de Loja

Abstract

Abstract:This study aimed to determine self-reported traffic accident rate and its typology through a web-based survey carried out in a sample of 754 drivers from city of Loja Ecuador enrolled through social networks using the snowball sampling method. We carried out multiple correspondence analysis (MCA) to identify accident typologies and binary logistic regression to explore accident determinant. Overall, 41.5% of respondents reported they had been involved in an accident at some point in their life. Furthermore, MCA suggested that typology of people who were involved in accidents corresponds to male sex, aged between 25-60, who usually drove over speed limited and perceived the road conditions to be poor or bad. Events characterized by collisions between vehicles, occurred at low-speed roads during the day, and linked to driver s behavioral factors (distraction and speeding), represents dominant accident typology. People s behavior and risk perception were the main accident determinants.