Factors Affecting the Severity of Motorcycles Accidents and Casualties in Thailand by Using Probit and Logit Model

Abstract

This paper attempts to provide an additional insight into the factors that significantly influence the motorcycle accident severity in Thailand by using ordered probit, binary orbit and binary logit model. We used the data from two sources: Department of Highways (HAIMS) and Road Accident Victims Protection Co. Ltd (Eclaim), each of which depicts different factors involved in the accident. This study reveals several factors that could lead to severe motorcycle accidents and casualties: during late night and late morning, during weekend and holiday season, collision with truck, driving under influence, crash at curve, motorcycle to vehicle collision esp. head-on types, age above 40 years old, pillion passengers and asphalt pavement. Our findings reveal that the chances of being fatal in motorcycle accidents are higher in motorcycle-truck collision than motorcycle-other vehicles collision. Also, the likelihood of fatality of pillion passenger is higher than rider.