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The Relationship between Violation of Designated Lane Usage and Accident Severity on Freeways

고속도로 지정차로제 위반과 교통사고 심각도와의 관계분석: 화물차량을 대상으로

  • Kim, Joo-Hee (Department of Transportation, University of Seoul) ;
  • Lee, Soo-Beom (Department of Transportation, University of Seoul) ;
  • Kim, Da-Hee (Department of Transportation, University of Seoul) ;
  • Hong, Ji-Yeon (Department of Transportation, University of Seoul)
  • 김주희 (서울시립대학교 교통공학과) ;
  • 이수범 (서울시립대학교 교통공학과) ;
  • 김다희 (서울시립대학교 교통공학과) ;
  • 홍지연 (서울시립대학교 교통공학과)
  • Received : 2012.03.13
  • Accepted : 2012.05.25
  • Published : 2012.06.30

Abstract

For traffic safety, it is imperative for motorists to secure their clear view and to maintain a similar speed with others while driving in a lane. Large-sized vehicles at lower speeds, however, are likely to increase the risk of accident when they share a lane with cars. Although to overcome this complication the Korean Road Traffic Act established rules for the safe use of roads, the reality is that the rules are seldom observed strictly. In this light, this study was designed to analyze the severity of truck-involved accidents, thereby providing justification for the need of truck-designated lanes and thus contributing to measuring road safety more precisely. A binomial logistic regression model was applied to analyze the severity of truck-involved accidents. The analysis showed that several variables affect the severity of truck-involved accidents on freeways; i.e., violation against the rule of truck-designated lanes, weather, difference between daytime and nighttime, and parking on road shoulder. Moreover, the strong enforcement will be needed to make motorists observe the rule, because a Wald statistical test showed that the violation against the rule of truck-designated lanes has the largest influence on the severity.

도로에서의 안전한 주행을 위해서는 차량들의 전방 시야 확보와 주행속도가 비슷한 차량들의 동일차로 형성이 중요하다. 하지만, 화물차와 같은 대형차량은 승용차에 비해 주행속도가 낮고, 차체가 커서 승용차와 차로를 공유할 때에 사고의 위험을 높이게 된다. 이러한 피해를 줄이고자 우리나라 도로교통법은 차로통행기준을 지정하고 있으나 잘 지켜지지 않고 있는 현실이다. 이에 본 연구는 화물차량의 교통사고 심각도 분석을 통해 지정차로제의 당위성을 제공하고, 고속도로 안전대책마련에 기여하는데 목적이 있다. 사고심각도를 종속변수로 하고, 지정차로 위반여부 등 18개 독립변수로 이항 로지스틱 회귀분석을 통해 분석을 실시하였다. 분석 결과, 고속도로 화물차 교통사고 심각도에 영향을 주는 변수는 지정차로 위반여부, 날씨, 주야, 갓길주정차 관련여부 변수로 나타났다. Wald 값 비교 결과, 지정차로 위반변수가 가장 영향을 많이 미치는 것으로 나타나 지정차로 통행방법의 철저한 준수가 요구되며, 효과적인 단속활동 등 대책마련이 필요할 것으로 판단된다.

Keywords

References

  1. Jeong, C. W.(2008), "A Study on the Accident Reduction Effectiveness of Lane Designation", Police Science Institute.
  2. D. A. Dagang and L. R. Grenzeback(1989), "Methods for Reducing the Impacts of Large Trucks on Urban Peak Period Freeway Congestion", Compendium of Technical Papers, Institute of Transportation Engineers, pp.1-5.
  3. Duncan, C. S., Khattak, A. J. and Council, F. M.(1998), "Applying the ordered probit model to injury severity in truck-passenger car rear-end collisions", TRR, 1635, TRB, pp.63-71.
  4. FHWA(2004), "Monitoring of texas vehicle lane restrictions", p.56.
  5. Hallmark, S. L., Hsu, Y. Y., Maze, T., McDonald, T. and Fitzsimmons, E.(2009), "Investigating factors contributing to large truck lane departure crashes using the federal motor carrier safety administration's Large Truck Crash Causation Study (LTCCS) database, U.S. Department of Transportation Vople National Transportation Systems Center.
  6. Song, J. J.(2008), "SPSS/AMOS Statistical analysis method for papers", 21c book.
  7. Kara Maria Konckelman(2002), "Driver injury severity:An application of ordered probit models", Accident Analysis and Prevention, 34, pp.313-321. https://doi.org/10.1016/S0001-4575(01)00028-8
  8. Kevin K.W. Yau(2004), "Risk factors affecting the severity of single vehicle traffic accidents in Hong Kong", Accident Analysis and Prevention, 36, Elsevier, pp.333-340. https://doi.org/10.1016/S0001-4575(03)00012-5
  9. Lee, K. Y., Lee, D. J., Chang, M. S. and Kim, T. H.(2009), "A study on Introduction to the highway Lane Usage Violation Enforcement System", Intelligent Transport System.
  10. Korea Transportation Citizens Associations (2004), "Designated lane survey report".
  11. Ministry of Land, Transport and Maritime Affairs, "Traffic Monitoring System"(http://www.road.re.kr).
  12. National police agency(2011), "Traffic accident statistics".
  13. National police agency(2011), "Press release".
  14. Reddy, G. V.(1997), "Before/After Study (Final): I-95 Truck Restriction", Florida Department of Transportation.
  15. Sijong Jo, Albert Gan and Gina Bonyani (2003), "Impacts of Truck-Lane Restrictions on Freeway Traffic Operations", TRB.
  16. Tae-je Seong(2007), "Simple statistical analysis using SPSS/AMOS", hakjisa.
  17. The Korea Highway Corporation, "Highway Traffic Accident".
  18. Hong, W. T.(2009), "Inclusion of the Highway Terrain Type in crash models and analysis of its safety effects", Master's Degree thesis, University of Seoul.
  19. Xiaoyu Zhu and Sivaramakrishnan Srinivasan (2011), "A comprehensive analysis of factors influencing the injury severity of largetruck crashes", Accident Analysis and Prevention, 43, pp.49-57. https://doi.org/10.1016/j.aap.2010.07.007
  20. Choi, Y. H., Jeong, M. K., Namkoong, S. and Jeon, S. I.(2007), "Violence rate Analysis of Dedicated Lanes on Expressways", The 33th Korean Society of Civil Engineers academic conference, p.1539.

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