| Title |
The Effects of Individual Accidents and Neighborhood Environmental Characteristics on the Severity of Pedestrian Traffic Accidents in Seoul |
| Authors |
Ko, Dong-Won ; Park, Seung-Hoon |
| DOI |
https://doi.org/10.5659/JAIK_PD.2019.35.8.101 |
| Keywords |
Pedestrian Traffic Accidents; Neighborhood Environment; Multilevel Logistic Regression Model |
| Abstract |
Korea's transportation paradigm is shifting from a vehicle-oriented transportation plan to a pedestrian-friendly environment that emphasizes
walking safety. However, the level of pedestrian traffic accidents in Korea is still high and serious. The purpose of this study is to
investigate factors affecting the severity of pedestrians traffic accidents using the multilevel logistic regression model based on 2015-2017
pedestrian accidents data provided by the Traffic Accident Analysis System(TAAS). The main results of the multilevel logistic regression
model showed that 89% of pedestrian traffic accidents in Seoul were explained by individual characteristics such as drivers and pedestrians,
and 11% were explained by neighborhood environmental characteristics. The results are as follows : In the individual characteristics such as
pedestrians and drivers, the older the pedestrians and the drivers, the higher the traffic accident severity. The severity of traffic accidents was
high when the pedestrians were female and the drivers were male. In the case of accident types, traffic accidents were more serious in the
cases of heavy vehicles, inclement weather, and occurring at intersections and crosswalks. The results of the neighborhood environmental
characteristics are as follows. The intersection density and the crosswalk density tended to reduce the severity of traffic accidents. On the
other hand, the traffic light density and the school zones were founded to related to the higher level of traffic accident severity. This study
suggests that both individual and neighborhood environmental characteristics should be considered together to prevent and reduce the severity
of pedestrian traffic accidents. |