Journal of Korean Society of Transportation (대한교통학회지)

Korean Society of Transportation (대한교통학회)
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A Study on the Crash Severity of Expressway Work Zones Using Decision Tree

의사결정나무를 이용한 고속도로 공사구간 사고 심각도에 관한 연구

  • PARK, Yong Woo (Department of Transportation Engineering, Keimyung University) ;
  • BACK, Sehum (Department of Transportation Engineering, Keimyung University) ;
  • PARK, Shin Hyoung (Department of Transportation Engineering, Keimyung University) ;
  • KWON, Oh Hoon (Department of Transportation Engineering, Keimyung University)
  • 박용우 (계명대학교 도시학부 교통공학전공) ;
  • 백세흠 (계명대학교 도시학부 교통공학전공) ;
  • 박신형 (계명대학교 도시학부 교통공학전공) ;
  • 권오훈 (계명대학교 도시학부 교통공학전공)
  • Received : 2016.10.20
  • Accepted : 2016.12.14
  • Published : 2016.12.30
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Abstract

This study aims to identify factors that affect the degree of injury severity sustained in traffic crashes on work zone of Korean expressways. To this end, decision tree method was applied to identify influential factors on injury severity and compare characteristics of those factors between work zone and non-work zone. The results from the comparison show that the risk of severity was low when traffic volume and heavy vehicle ratio are high because the factors lower the overall section speed. On the other hand, when the traffic volume and the heavy vehicle ratio are low, the section speed increased and the tendency for high injury severity was confirmed. These findings are expected to help transportation planners and engineers understand which risk factors contribute more to severe injury in the work zones such that they can effectively prepare and implement safety countermeasures.

본 연구는 고속도로의 공사구간의 사고 심각도에 영향을 미치는 주요인들을 파악하고 사고 심각도와의 관계를 규명하는 것을 목적으로 한다. 2011년부터 2015년까지 국내 고속도로에서 발생한 교통사고 자료를 공사구간 사고와 일반구간(비공사구간) 사고로 구분하였으며, 이 중 물피사고를 제외하고 분석에 활용하였다. 의사결정나무(Decision Tree)기법을 적용하여 공사구간과 일반구간의 사고 심각도에 영향을 끼치는 요인들을 파악한 뒤 사고 특성 및 영향요인의 차이점을 비교하였다. 특히 공사구간에서는 교통량이 많고 중차량 비율이 높을 경우 전반적인 구간속도 저하로 사고 심각도가 낮아지는 반면, 교통량이 적고 중차량 비율이 낮을수록 구간속도가 증가하여 심각도가 높은 사고로 이어지는 경향을 확인할 수 있었다. 본 연구를 통해 도출한 공사구간 사고심각도 영향 요인들은 공사구간 안전 관리 대책 마련에 도움을 줄 수 있을 것으로 기대한다.

Keywords

References

  1. Ha O. K., Oh J. T., Won J. M., Sung N. M. (2005), The Study on the Accident Injury Severity Using Ordered Probit Model, J. Korean Soc. Transp., 23(4), Korean Society of Transportation, 47-55.
  2. Ha O. K., Park D. J., Won J. M., Jung C. H. (2010), The Prediction Models for Clearance Times for the Unexpected Incidences According to Traffic Accident Classifications in Highway, J. Korea Inst. Intell. Transp. Syst., 9(1), The Korea Institute of Intelligent Transportation Systems, 101-110.
  3. Han S. J., Jo W. B., Chang J. S. (2014), Analysis on Truck Accidents Using Classification and Regression Trees, Journal of Transport Research, 21(4), The Korea Transport Institute, 87-103.
  4. Hong J. Y., Kim K. T., Lee S. B. (2011), Traffic Safety: Developing the Accident Injury Severity on a Field of Construction Work Using Ordered Probit Model, Journal of the Korean Society of Safety, 26(2), The Korean Society of Safety, 89-98.
  5. Lee J. M., Kim T. H., Lee Y. T., Won J. M. (2008), Developing the Traffic Accident Prediction Model Using Classification and Regression Tree Analysis, Journal of the Korean Society of Road Engineers, 10(1), Korean Society of Road Engineers, 31-39.
  6. Lee J. Y., Chung J. H., Son B. S. (2008), Analysis of Traffic Accident Severity for Korean Highway Using Structural Equations Model, J. Korean Soc. Transp., 26(2), Korean Society of Transportation, 17-24.
  7. Li Y., Bai Y. (2008), Comparison of Characteristics Between Fatal and Injury Accidents in the Highway Construction Zones, Safety Science, 46(4), Elsevier, 646-660. https://doi.org/10.1016/j.ssci.2007.06.019
  8. Mun S. R., Lee Y. I. (2011), Analysis of Traffic Crash Severity on Freeway Using Hierarchical Binomial Logistic Model, Journal of the Korean Society of Road Engineers, 13(4), Korean Society of Road Engineers, 199-209.
  9. Park J. T., Lee S. B. (2011), Effects Analysis of Traffic Safety Improvement Program Using Data Mining: Focusing on Urban Area, Journal of Transport Research, 18(2), The Korea Transport Institute, 77-91.
  10. Park S., Jang K., Park S. H., Kim D. K., Chon K. S. (2012), Analysis of Injury Severity in Traffic Crashes: A Case Study of Korean Expressways, KSCE J Civ Eng, 16(7), Korean Society of Civil Engineers, 1280-1288. https://doi.org/10.1007/s12205-012-1527-3
  11. Park T. H., Park J. J., Yoon P. (2008), A Study on Traffic Accident Characteristics of Freeway Work Zones, J. Korea Inst. Intell. Transp. Syst., 7(1), The Korea Institute of Intelligent Transportation Systems, 127-136.
  12. Yoon S. M., Oh C., Park H. J., Chung B. J. (2016), Identification of Factors Affecting the Crash Severity and Safety Countermeasures Toward Safer Work Zone Traffic Management, J. Korean Soc. Transp., 34(4), Korean Society of Transportation, 354-372. https://doi.org/10.7470/jkst.2016.34.4.354