Characteristics of rear-end accidents at signalized intersections using multiple logistic regression model

Association of intersection approach speed with driver characteristics, vehicle type and traffic conditions comparing urban and suburban areas

“…In addition, logistic regression belongs to the group of regression methods for describing the relationship between explanatory variables and a discrete response variable. Binary logistic regression is suitable when the dependent variable is dichotomous (an event that did or did not happen) and can be applied to test the association between a dependent variable and the related potential factors, to rank the relative importance of independents, and to assess interaction effects (Hosmer and Lemeshow, 1989;Norusis, 2004;Yan et al, 2005). Binary logistic regression was used in this study because the dependent variable, Y (speed), can only have one of two values, 1 or 0, indicating violation or compliance, respectively.…”

Factors contributing to hit-and-run in fatal crashes

“…Therefore, the logistic regression is a suitable technique to use because it is developed to predict a binary dependent variable as a function of predictor variables. The logistic regression model is widely used in road safety studies where the dependent variable is binary (Hooper et al, 2006;Asbridge et al, 2005;Yan et al, 2005;Valent et al, 2002;Simoncic, 2001;Zhang et al, 2000;Shibata and Fukuda, 1994;Jones and Whitfield, 1988;Lui et al, 1988). In this model, the logit is the natural logarithm of the odds or the likelihood ratio that the dependent variable is 1 (hitand-run crash) as opposed to 0 (reported crash).…”

Road Crashes in Addis Ababa, Ethiopia: Empirical Findings between the Years 2010 and 2014

“…In this regard, other research has already documented that being a pedestrian, male, and of young age is highly correlated with a higher risk of road fatality (e.g., Damen, 2014;Guyu, 2013;Odero, Khayesi, & Heda, 2010;Vorko-Jović, Kern, & Biloglav, 2006;Yan, Radwan, & Abdel-Aty, 2005).…”