KSCE Journal of Civil and Environmental Engineering Research (대한토목학회논문집)

Korean Society of Civil Engeneers (대한토목학회)
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Modeling Traffic Accident Characteristics and Severity Related to Drinking-Driving

음주교통사고 영향요인과 심각도 분석을 위한 모형설정

  • 장태연 (전북대학교 도시공학과) ;
  • 박현천 (전북대학교 건축도시공학과)
  • Received : 2010.07.12
  • Accepted : 2010.08.12
  • Published : 2010.12.31
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Abstract

Traffic accidents are caused by several factors such as drivers, vehicles, and road environment. It is necessary to investigate and analyze them in advance to prevent similar and repetitive traffic accidents. Especially, the human factor is most significant element and traffic accidents by drinking-driving caused from human factor have become social problem to be paid attention to. The study analyzes traffic accidents resulting from drinking-driving and the effects of driver's attributes and environmental factors on them. The study is composed as two parts. First, the log-linear model is applied to analyze that accidents by drinking or non-drinking driving associate with road geometry, weather condition and personal characteristics. Probability is tested for drinking-driving accidents relative to non-drinking drive accidents. The study analyzes probability differences between genders, between ages, and between kinds of vehicles through odds multipliers. Second, traffic accidents related to drinking are classified into property damage, minor injury, heavy injury, and death according to their severity. Heavy injury is more serious than minor one and death is more serious than heavy injury. The ordinal regression models are established to find effecting factors on traffic accident severity.

교통사고는 사람과 자동차, 도로환경 등의 여러 요인들이 결합되어 발생됨으로 요인들에 대한 과학적, 심층적인 조사와 분석을 통해 사고요인을 사전에 제거하여 유사한 형태로 반복되는 사고를 예방하는 것이 중요하다. 특히, 인적요인은 교통사고에 있어 큰 부분을 차지하고 있어 인적요인에 의한 음주교통사고는 경각심을 갖고 해결해야 할 중요한 사회적 문제이다. 연구는 교통사고자료를 활용하여 사고 빈도와 사고 심각성에 영향을 주는 요인에 대해 분석한다. 교통사고를 음주 및 비음주 사고로 분류하고, 비음주 사고에 대한 음주 사고 발생 가능성에 대해 로그선형모형을 이용하여 변수간의 관계성을 분석한다. 음주교통사고 영향요인으로는 여성보다는 남성이, 비승용차 운전자보다는 승용차 운전자가 음주관련 사고 발생가능성이 높은 것으로 나타났다. 연령의 증가, 커브구간, 단일로, 노면 불량상태 등에서도 발생가능성이 높은 것으로 분석되었다. 또한, 음주교통사고의 경중을 고려한 심각성 분석을 위해 순위회귀모형의 적용 가능성을 탐색하였다. 종속변수가 이산적 특성과 함께 순위적 특징을 보일 경우 순위회귀모형이 적용되어야 하는데, 종속변수가 정성적 표현이 아닌 단지 순위를 반영하는데 유익한 모형이다. 사고의 심각성 분석에서 교통사고 발생시간대, 기후, 도로형태, 사고유형, 성별, 차량종류 등에 의해 심각성이 가중됨을 알 수 있었다. 계절적으로는 봄과 겨울이 사고의 심각성이 증대되며 반면에 여름과 가을은 감소될 가능성이 높았다.

Keywords

References

  1. 서울경제(2010) 2010년 5월 14일자.
  2. 오경근(2009) 날씨가 음주운전 결정에 미치는 영향. 교통안전교육논문. 도로교통공단 전북지부.
  3. 장영채, 황정현(2007) 음주운전 교통사고 감소를 위한 제언. 교통 기술과 정책, 제4권 제4호. pp. 143-160.
  4. 정신교(2008) 음주운전과 도로의 범위. 교통기술과 정책, 제5권 제4호 pp. 35-44.
  5. 최상진, 손영미, 김정인, 박정열 (2001) 음주운전 결정요인에 관한 심리학적 연구. 대학교통학회지, 대한교통학회, 제19권 제6호, pp. 33-47.
  6. Agresti, Alan (1990) Ategorical Data Analysis. New York: John Wiley & Sons.
  7. Ahlm, K., Bjornstig, U., and Ostrom, M. (2009) Alcohol and drugs in fatally and non-fatally injured motor vehicle drivers in Northern Sweden. Accident Analysis and Prevention, Vol. 41. pp. 129-136. https://doi.org/10.1016/j.aap.2008.10.002
  8. Burgess, M. and Lindsey, T. (1997) Alcohol Involvement in Fatal Traffic Accidents 1995. Technical Report DOT HS 808-547. National Highway Traffic Safety Administration. US DOT, Washington, D.C.
  9. Chen, M., Grube, J., Nygaard, P., and Miller, B. (2008) Identifying social mechanisms for the prevention of adolescent drinking and driving. Accident Analysis and Prevention, Vol. 40, pp. 576-585. https://doi.org/10.1016/j.aap.2007.08.013
  10. Connor, J., Norton, R., Ameratunga, S., and Jackson, R. (2004) The contribution of alcohol to serious car crash injuries. Epidemiology, Vol. 15, pp. 337-344. https://doi.org/10.1097/01.ede.0000120045.58295.86
  11. Elvik, R. and Vaa, T. (2004) The Handbook Road Safety Measures. Elsevier.
  12. Ferrante, A., Rosman, D., and Marom, Y. (2001) Novice drink drivers, recidivism and crash involvement. Accident Analysis and Prevention, Vol. 33, pp. 221-227. https://doi.org/10.1016/S0001-4575(00)00035-X
  13. Fillmore, M., Blackburn, J., and Harrison, E. (2008) Acute disinhibiting effects of alcohol as a factor in risky driving behavior. Drug and Alcohol Dependence, Vol. 95. pp. 97-106. https://doi.org/10.1016/j.drugalcdep.2007.12.018
  14. Greene, W. (2000) Econometric Analysis. Prentice Hall International, Inc.
  15. Gustin, J. and Simons, J. (2008) Perceptions of level intoxication and risk rel ated to drinkin and driving. Addictive Behavior, Vol. 33, pp. 605-615. https://doi.org/10.1016/j.addbeh.2007.11.010
  16. Hingson, R., Heeren, T., and Zakocs, R. (2001) Age of drinking onset and involvement in phusical fights after drinking. Pediatrics, Vol. 108, pp. 872-877. https://doi.org/10.1542/peds.108.4.872
  17. Hingson, R., Heeren, T., Levenson, S., Jamanka, A., and Voas, R. (2002) Age of drinking onset, driving after drinking and involvement in alcohol related motor-vehicle crashes. Accident Analysis and Prevention, Vol. 34. pp. 85-92. https://doi.org/10.1016/S0001-4575(01)00002-1
  18. Hingson, R., Heeren, T., Winter, M., and Wechsler, H. (2005) Magnitude of alcohol-related mortality and morbidity among US College Students Ages 18-24: Changes from 1998 to 2001. Annual Review Public Health, Vol. 26, pp. 259-279. https://doi.org/10.1146/annurev.publhealth.26.021304.144652
  19. Horwood, J. and Fergusson, D. (2000) Drunk driving and traffic accidents in young people. Accident Analysis and Prevention 32. pp. 805-814. https://doi.org/10.1016/S0001-4575(00)00005-1
  20. Hoyert, D., Kung, H., and Smith, B. (2005) Deaths: Preliminary data for 2003. National Vital Statistics Reports, Vol. 53, No. 15. National Center for Health Statistics, Hyattsville, MD.
  21. Levitt, S. and Porter, J. (1999) Estimating the Effect of Alcohol on Driver Risk Using Only Fatal Accident Statistics (Working paper series NO. 6944). Cambridge, MA: National Bureau of Economics Research.
  22. McKelvey, R. and Zavoina, W. (1975) A statistic model for the analysis of ordinal level dependent variables. Journal of Math. Sociol., Vol. 4, pp. 103-120. https://doi.org/10.1080/0022250X.1975.9989847
  23. Movig, K. and Matthijssen, M., Nagel, P., Van Egmond, T., De Gier, J. Leutkens, H., and Egberts, A. (2004) Psychoactive substance use and the risk of motor vehicle accidents. Accident Analysis and Prevention, Vol. 36, pp. 631-636. https://doi.org/10.1016/S0001-4575(03)00084-8
  24. Ogden, K. W. (1996) Safer Roads: A Guide to Road Safety Engineering. Avebury Technical.
  25. Pendleton, O., Hatfield, N., and Bremer, R. (1986) Alcohol Involvement in Texas Driver Fatalities: Accident Reports Versus Blood Alcohol Concentration. TRB 1068.
  26. Shinar, D. and Compton, R. (2004) Aggressive driving: an observation study of driver, vehicle, and situational variables. Accident Analysis and Prevention, Vol. 36, pp. 429-437. https://doi.org/10.1016/S0001-4575(03)00037-X
  27. VanIaar, W. (2005) Multilevel modeling in traffic safety research: two empirical example illustrating the consequences of ignoring hierarchies. Traffic Injury Preview, Vol. 6, pp. 311-316. https://doi.org/10.1080/15389580500253752
  28. Vanlaar, W. (2008) Less is more: The influence of traffic count on drinking and driving behavior. Accident Analysis and Prevention, Vol. 40, pp. 1018-1022. https://doi.org/10.1016/j.aap.2007.11.007
  29. Zakletskaia, L., Mundt, M., Balousek, S., Wilson, E., and Fleming, M. (2009) Alcohol-impaired driving behavior and sensationseeking disposition in a college population receiving routine care at campus health services centers. Accident Analysis and Prevention, Vol. 41, pp. 380-386. https://doi.org/10.1016/j.aap.2008.12.006
  30. Zakrajsek, J. and Shope, J. (2006) Longitudinal examination of underage drinking and subsequent drinking and risky driving. Journal of Safety Research, Vol. 37, pp. 443-451. https://doi.org/10.1016/j.jsr.2006.06.002