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http://dx.doi.org/10.7470/jkst.2018.36.1.013

Factors Influencing Crash Severity by the Types of Bus Transportation Services Using Ordered Probit Models  

YOON, Sangwon (Department of Civil and Environmental Engineering, Seoul National University)
KHO, Seung-Young (Department of Civil and Environmental Engineering, Seoul National University)
KIM, Dong-Kyu (Department of Civil and Environmental Engineering, Seoul National University)
Publication Information
Journal of Korean Society of Transportation / v.36, no.1, 2018 , pp. 13-22 More about this Journal
Abstract
Buses, one of the representative public transportation modes, are divided into a vareity of service types according to the purpose of operation, operating distance, and management agencies. Although bus-involved crashes may cause large amount of damage due to the higher number of passengers boarded on a bus, prior research has little focused on crash severity according to bus service types. This study aims to investigate factors influencing crash severity in bus-involved crashes and to present policy implications to reduce crash severity by bus service type. To do this, bus-involved crash data from the Traffic Accident Analysis System (TAAS) during five-year period are used. Ordered probit models for three types of bus service, i.e., city bus, suburban and express buses, and charter buses, are estimated to analyze the factors of accident severity. The results show that there are significant differences of factors affecting crash severity among the types of bus services while speed and road surface influence all the types of buses. In case of local buses, time of day, roadway alignment, and installation of a traffic signal are found to be statistically significant factors. Seat belt and road class have significant effects on injury severity of the intercity and express buses. Chartered buses have time of day, driving experience, seatbelt, traffic signal, and day of week as the significant factors. The results of this study are expected to contribute to the reduction of the crash severity by each bus service type.
Keywords
bus-involved crash; bus transport business type; injury severity; ordered probit model; traffic accident analysis system (TAAS);
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