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http://dx.doi.org/10.12652/Ksce.2017.37.5.0827

A Study on the Age Group of Elderly Driver's Accident Characteristics Using Correlation Analysis  

Ko, Eun-Hyeok (Incheon National University)
Yoon, Byoung-Jo (Incheon National University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.37, no.5, 2017 , pp. 827-835 More about this Journal
Abstract
With the rapid progress of ageing several issues concurrently occur, and one important social issue that must be resolved is accidents involving Elderly drivers. Efforts to reduce the frequency of such accidents is a must in order to be prepared to face a superaged society. Currently people aged 65 or older are prescribed as an "Elderly person." Therefore, various studies concerning accidents involving Elderly drivers apply this age criteria to separate regular drivers and Elderly drivers. However, there is no criteria to practically discern Elderly drivers with certain physical features as vulnerable road users based on a level of acceptable accuracy. Therefore, this studies intends to compare the possibility of accidents by age group of Elderly drivers by correlation analysis to analyze the accident characteristics by age group. Results showed that for drivers aged 75 and older, their influence on major accident characteristics by vehicle type increased with higher age groups. In particular, passenger cars had a relatively low accident frequency rate for drivers aged between 70 and 80, but for drivers aged 75 to 84, they had higher influence on accidents for the same vehicle type. This demonstrates that as ageing progresses and the average life expectancy increases, the age span of elders continues to increase, meaning that characteristics differ by age group among the aged. This study confirmed that the influence on the possibility of accidents differs by age group among the aged.
Keywords
Elderly drivernd; Accident characteristics of elderly drivers; Correlation analysis; Accidents by age group; Acident by vehicle type;
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Times Cited By KSCI : 2  (Citation Analysis)
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