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Analysis on Comparison of Highway Accident Severity between Weekday and Weekend using Structural Equation Model

구조방정식 모형을 이용한 주중과 주말의 고속도로 사고심각도 비교분석

  • 배윤경 (연세대학교 공과대학 스마트공간연구원) ;
  • 안선영 (연세대학교 공과대학 도시공학과) ;
  • 정진혁 (연세대학교 공과대학 도시공학과)
  • Received : 2013.06.21
  • Accepted : 2013.06.27
  • Published : 2013.11.30

Abstract

In order to identify and understand the crucial factors to induce traffic accident, causal relationships between diverse factors and traffic accident occurrence have been investigated continuously. It is one of most important issues all over the world to reduce the number of traffic accidents and deaths by them. Korea government is also stepping up their effort to reduce the number of traffic accidents and mitigate the severity of the accidents by establishing various traffic safety strategies. By introducing the five-day work week and increasing concern of leisure activities, the differences of trip characteristics between weekday and weekend is getting greater. According to this, the patterns and crucial factors of traffic accident occurrence in weekend appear differently from those in weekday. This study aims to understand major different factors affecting accident severity between weekday and weekend using 12,042 incident data occurred on freeways of Korea from 2006 to 2011. The model developed in this study estimated relationships among various exogenous factors of traffic accident by each type using SEM(Structural Equation Model). The result provides that road factors are related to the accident severity for weekday model, while environment factors affects on accident severity for weekend.

교통사고를 감소시키고 안전성을 향상시키기 위해, 사고에 영향을 미치는 요인들을 분석하여 교통사고를 예측하는 모형은 지속적으로 개발되어 왔다. 교통사고 감소와 사고 사망자 감소에 대한 문제는 선진국과 후진국 모두 중요한 문제로서, 우리나라에서는 매해 교통사고 감소를 위한 정책 및 방안을 제시하고 있다. 주 5일제 시행과 여가활동에 대한 관심의 증가로 주중과 주말의 통행패턴은 다른 형태를 지니고 있으며, 교통사고의 특성도 마찬가지로 다르게 나타난다. 본 연구에서는 주중과 주말의 사고 심각도에 미치는 요인이 다름에 대하여 분석하였으며, 이는 고속도로에서 발생한 5년 동안의 사고자료를 구조방정식 모형을 이용하여 분석하였다. 모형의 추정결과 주중 사고 심각도 모형은 도로 요인이 사고 심각도에 가장 큰 영향을 미치는 것으로 나타났으며, 주말 사고 심각도 모형은 운전자 요인이 사고 심각도에 가장 큰 영향을 미치는 것으로 나타나 주중과 주말 사고의 원인 차이를 나타냈다.

Keywords

References

  1. Anowar, S., Yasmin, S. and Tay, R. (2013). "Comparison of crashes during public holidays and regular weekends." Accident Analysis and Prevention, Vol. 51, pp. 93-97. https://doi.org/10.1016/j.aap.2012.10.021
  2. Bae, B. R. (2011). Structural equation modeling with amos 19- principles and practice-, Chungram (in Korean).
  3. Barua, U. and Tay, R. (2010). "Severity of urban transit bus crashes in Bangladesh." Journal of Advanced Transportation, Vol. 44, No. 1, pp. 34-41. https://doi.org/10.1002/atr.104
  4. Gray, R. C., Quddus, M. A. and Evans, A. (2008). "Injury severity analysis of accidents involving young male drivers in Great Britain." Journal of Safety Research, Vol. 39, pp. 483-495. https://doi.org/10.1016/j.jsr.2008.07.003
  5. Lee, J. Y. (2008). "Analysis of traffic a accident size for Korean highway using structural equation models." Accident Analysis and Prevention, Vol. 40, pp. 1955-1963. https://doi.org/10.1016/j.aap.2008.08.006
  6. Lee, J. Y., Chung, J. H. and Son, B. S. (2008). "Analysis of traffic accident severity for korean highway using structural equations models." Journal of Korean Society of Transportation, Vol. 26, No. 3, pp. 17-24 (in Korean).
  7. Park, H. S., Son, B. S. and Kim, H. J. (2007). "Development of accident prediction models for freeway interchange ramps." Journal of Korean Society of Transportation, Vol. 25, No. 3, pp. 123-136 (in Korean).
  8. Park, J. S., Kim, T. Y. and Yu, D. S. (2007). "Correlation analysis and estimation modeling between road environmental factors and traffic accidents (the case of a 4-legged signalized intersections in cheongju)." Journal of Korean Society of Transportation, Vol. 25, No. 2, pp. 63-72 (in Korean).

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