토지이용특성을 고려한 서울시 교통사고 발생 모형 개발

Development of Traffic Accident Models in Seoul Considering Land Use Characteristics

  • 발행 : 2013.03.31

초록

본 연구에서는 토지이용에 기반을 두는 새로운 교통사고 예측모형을 개발하였다. 다양한 지역의 특성을 반영할 수 있는 변수에 대한 시장분할 및 추가변수 도입을 토대로 Data Mining 기법의 하나인 의사나무결정법(Classification and Regression Tree)을 활용하여 새로운 유형별 교통사고 예측모형을 개발하였다. 분석결과를 살펴보면 주민등록인구수, 통근 등 활동변수와 활동의 대상이 되는 도로규모, 유발시설 등이 교통사고를 설명하는 변수로 도출되었다.

In this research we developed a new traffic accident forecasting model on the basis of land use. A new traffic accident forecasting model by type was developed based on market segmentation and further introduction of variables that may reflect characteristics of various regions using Classification and Regression Tree Method. From the results of analysis, activities variables such as the registered population, commuters as well as road size, traffic accidents causing facilities being the subjects of activities were derived as variables explaining traffic accidents.

키워드

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