Factors contributing to Korean road accidents based on insurance records
Seongkyun Cho, Chanwoo Park

TL;DR
This study identifies factors influencing road accident severity in Korea using insurance records and suggests policy changes to improve safety.
Contribution
The study introduces a new analysis of vehicle type and liability in relation to injury severity in road accidents.
Findings
Pedestrians and non-motorized cyclists face the highest risk of severe injuries.
Speed-limit violations significantly increase the likelihood of fatal outcomes.
Population density has a protective effect on injury severity.
Abstract
This study aims to identify the key factors contributing to the severity of road accidents in Korea, analyzing more than 3,000 motor vehicle insurance records using the generalized ordered logit model (GOLogit). The model addresses the limitations of the parallel regression assumption, which ignores the differences between adjacent discrete levels of injury severity. The variable “Vehicle type (including pedestrian) with less liability”, which has been rarely examined in previous studies, demonstrated that individuals in the less responsible and more vulnerable position tend to suffer more severe injuries in South Korea. Consistent with this, the GOLogit estimates showed particularly high log-odds for severe injuries among pedestrians (4.912) and non-motorized cyclists (4.746), while speed-limit violations substantially increased the likelihood of fatal outcomes (2.456). In contrast,…
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Taxonomy
TopicsTraffic and Road Safety · Injury Epidemiology and Prevention · Urban Transport and Accessibility
