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Examining the Characteristics of Traffic Accidents Involving Elderly Drivers in Seoul, South Korea

JIWON LEE 1 Tae-Hyoung Tommy Gim 1

1서울대학교

Accredited

ABSTRACT

This study aims to examine the characteristics of traffic accidents involving elderly drivers with regards to the urban structure in Seoul, South Korea. To this end, this research analyzed the traffic accident data of the year 2015 collected by the Korean Police Agency and Koroad(TAAS). The traffic accident records being collected in a spatial unit, spatial heterogeneity and non-dispersion are prone to occur. In order to prevent this, this study employs ordinary least squares regression(OLS), a conventional spatial model for analyzing accident data, and geographically weighted regression(GWR), which is an alternative to the spatial econometrics model. It was revealed that the GWR model has a better goodness-of-fit than the OLS model. According to the GWR model, the population aged under 20 ratio and the industrial area ratio are negatively associated with traffic accidents in which elderly drivers are at fault. Meanwhile, employment density, commercial area ratio and the numbers of subway stations, bus stops, intersections, and traffic islands are positively associated with the traffic accidents involving elderly drivers.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.