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http://dx.doi.org/10.12815/kits.2020.19.5.1

An Analysis of Multiple-Vehicle Accidents on Freeways Using Multinomial Logit Model  

Jeon, Hyeonmyeong (Construction Test & Certification Department, Korea Institute of Civil Engineering and Building Technology)
Kim, Jinhee (Department of Urban Planning and Engineering, Yonsei University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.19, no.5, 2020 , pp. 1-14 More about this Journal
Abstract
The aim of this study is to analyze effects of factors on the number of vehicles involved in traffic accidents on freeway sections. In previous studies about traffic accident severity, the analysis of accidents involving multiple vehicles was insufficient. However, multiple-vehicle accidents are likely to cause casualties and are the main reasons increasing accident duration and social costs. In this study, the number of vehicles involved in an accident was interpreted as the result of the accident, not as the cause of the accident, and the impacts of each accident factor were analyzed using a multinomial logit model. The results indicate that multiple-vehicle accidents are mainly related to following factors: nighttime, driver's faults, obstacles on the road, a downhill slope, heavy vehicles, and freeway mainline sections including tunnels and bridges.
Keywords
Road traffic safety; Freeway accidents; Multiple-vehicle accidents; Multinomial logit model; Accident severity;
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Times Cited By KSCI : 4  (Citation Analysis)
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