Exploring Factors Associated with Motorcyclist Accident Involvement in Phnom Penh

Abstract

This paper explores motorcycle/driver characteristics related with motorcyclist accident involvement. An interview targeting motorcycle drivers was conducted in Phnom Penh. A sequential analytical strategy including clustering and classification tree was adopted. After the groups of motrocyclist with homogenous driving behavior are identified by cluster analysis, the classification tree was employed to establish the relationship between accident involvement and motorcycle/driver’s characteristics variables for each of the groups. To identify the importance of the variables associate with accident involvement, Random Forest was employed. The key finding here is that the job has the most significant effect on the accident involvement. Three types of job were identifies as vulnerable groups: Motodop driver, high school student, and university student. Other characteristics associated with motorcycle accidents were also identified and discussed. Based on the discussions, several intervention measures were speculated as potential for motorcyclists’ safety improvement.