대한교통학회지 (Journal of Korean Society of Transportation)

  • 제34권1호
  • /
  • Pages.29-42
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  • 2016
  • /
  • 1229-1366(pISSN)
  • /
  • 2234-4217(eISSN)
대한교통학회 (Korean Society of Transportation)
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다기능단속카메라 수집 자료를 활용한 과속운전 특성 분석

Analysis of Speeding Characteristics Using Data from Red Light and Speed Enforcement Cameras

  • 박정순 (도로교통공단 교통과학연구원) ;
  • 김중효 (도로교통공단 교통과학연구원) ;
  • 현철승 (도로교통공단 교통과학연구원) ;
  • 주두환 (도로교통공단 교통과학연구원)
  • 투고 : 2015.08.27
  • 심사 : 2016.02.26
  • 발행 : 2016.02.29
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초록

과속은 교통안전에 있어서 중요한 영향요인이며, 사고 심각도에 영향을 끼칠 뿐만 아니라 사고 위험성과 밀접한 관련성이 있다. 본 연구는 청주시의 신호교차로에 설치된 36개 다기능단속카메라(신호 및 과속)에서 수집한 27,968건의 속도위반 자료에 대한 분석 결과를 제시하고 있다. 이 자료에는 위반자의 3년간 위반이력을 포함한 다양한 인구통계학적 특성들을 포함하고 있다. 따라서 본 연구의 목적은 속도위반과 인적, 차량 및 도로 환경요인들 간의 관련성을 알아보기 위함으로 분석방법은 통계프로그램 SPSS 20의 기술통계와 이항로지스틱 회귀분석을 이용하였다. 주요 연구 결과는 다음과 같다. 첫째, 속도위반은 지방부와 도시외곽부 지역에서 많이 일어났다. 둘째, 속도위반 운전자의 약 25.6%는 제한속도 대비 20km/h 이상의 심각한 수준의 과속운전을 한다. 셋째, 과속운전자와 정상속도 운전자에 영향을 주는 변수로는 교차로의 공간적 위치와 운전자의 성별 및 연령이 선정되었다. 마지막으로, 이항 로지스틱 회귀분석에 의해 통계적으로 유의한 모형이 개발되었다(Hosmer and Lemeshow test : 11.586, p-value: 0.171).

Speeding is an important factor in traffic safety. Speed not only affects crash severity, but is also related to the possibility of crash occurrence. This study presents results from an analysis of 27,968 speed violation cases collected from 36 red light and speed enforcement cameras at signalized intersections in the city of Cheongju. Data included details of their violation history such as speeding tickets within a recent 3-year span and their demographic characteristics. The goal of this analysis is to understand the correlation between speed violations and various factors in terms of humans, vehicles and road environments. This study used descriptive statistics and Binary Logistics Regression(BLR) analysis with SPSS 20.0 software. The major results of this study are as follows. First, speed violations occurred at rural and suburban area. Second, about 25.6% of the violators committed to more than 20km/h over a speed limit. Third, the difference between speed violators and normal drivers clearly appeared in location of intersection(urban/rural/suburban area), gender and age. Finally, a statistically significant model(Hosmer and Lemeshow test: 11.586, p-value: 0.171) was developed through the BLR.

키워드

참고문헌

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피인용 문헌

  1. 신호교차로의 과속운전자 특성 및 심각도 분석 vol.35, pp.1, 2016, https://doi.org/10.7470/jkst.2017.35.1.011