“…The data used in this analysis were from major intersections in the Gyeonggi province, where about 25 percent of the entire Korean population (13 million people) live. Although there have been numerous studies that have attempted to understand factors that influence accident frequencies at intersections in Korea using various statistical modeling methods (linear regression [8], Poisson model [9,10], negative binomial model [11][12][13], and logistic regression [14]), few researchers have used a random parameter count models as another methodological alternative in accident frequencies analysis [15,16].…”