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Development of Traffic Accident Forecasting Models Considering Urban-Transportation System Characteristics  

Park, Jun-Tae (교통안전공단 안전진단처)
Jang, Il-Jun (경원대학교 도시계획학과)
Son, Ui-Yeong (서울시립대학교 교통공학과)
Lee, Su-Beom (서울시립대학교 교통공학과)
Publication Information
Journal of Korean Society of Transportation / v.29, no.6, 2011 , pp. 39-56 More about this Journal
Abstract
This study proposed a traffic accident prediction model developed based on administrative districts of Seoul. The model was to find the relationship between accident rates and the representative land usage of the districts (development density) - the higher the development density (building floor area) is, the higher the traffic accident rate is. The findings showed that traffic accident statistics differ from (1) residential building floor area, (2) commercial building floor area and (3) business building floor area.
Keywords
Land Use; Development Density; Traffic Safety; Traffic Accident Prediction; Local Government;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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