DOI QR코드

DOI QR Code

Drivers' Understanding of Traffic Pavement Markings

교통노면표시 이해도에 관한 연구

  • 신강원 (경성대학교 도시공학과)
  • Received : 2012.11.17
  • Accepted : 2012.12.31
  • Published : 2013.03.30

Abstract

Traffic pavement markings are one of primary transportation facilities that provide drivers with various road information directly. Thus, a clear understanding of traffic pavement markings is utmost important to improve traffic safety as well as to establish a proper traffic culture. However, no past studies examined drivers' understanding of traffic pavement markings in Korea. Hence, this study investigated drivers' understanding of traffic pavement markings through an elaborated administrated survey, and analyzed the relationship between various drivers' characteristics and understanding regarding pavement marking via cross-classification table and logistic model. The analysis results show that drivers have limited understanding regarding the purpose of the markings. Specifically, the average understanding of pavement markings is 57.41%: the lowest understanding is 25.88% for yield pavement marking, and the highest understanding is 91.18% for advanced pedestrian crosswalk pavement marking. This study also revealed that the understanding of some pavement markings are somewhat influenced by user group such as drivers with suspended or revoked driver licenses, but the overall understanding of pavement markings are not significantly affected by drivers' characteristics such as gender and driving experiences at ${\alpha}$=0.05. Thus, it might be desirable for policy makers to establish pavement marking-related policies for overall drivers rather than specific drivers.

교통노면표시는 다양한 도로정보를 일차적으로 이용자에게 전달하는 중요한 교통시설 중 하나로, 교통노면표시에 대한 올바른 이해는 교통안전 향상 및 올바른 교통문화 정착에 필수적인 사항이다. 그러나 전술한 교통노면표시의 중요도에도 불구하고 교통노면표시 이해도에 대한 국내 연구결과는 미흡한 실정이다. 본 연구에서는 이용자별 교통노면표시의 이해도를 설문조사를 통해 추정하였으며, 이용자 특성에 따른 이해도 차이의 유의성을 교차표와 로지스틱 모형을 적용하여 분석하였다. 분석결과 분석대상 교통노면표시에 대한 평균 이해도는 57.41%로 비교적 낮게 나타났으며, 양보표시의 이해도가 25.88%로 가장 낮았으며, 횡단보도예고표시의 이해도는 91.18%로 가장 높게 분석되었다. 한편 교차분석결과 일부 노면표시의 이해도는 운전면허 정지 및 취소자(특별교통안전교육대상자)와 같은 이용자 그룹에 따라 유의한 영향을 받으나, 보다 일반적인 이용자 특성(성별 및 운전경력)에 따라서는 크게 달라지지 않음을 알 수 있었다(${\alpha}$=0.05). 이처럼 교통노면표시에 대한 전반적인 이해도는 이용자 특성에 따라 유의한 차이를 보이지 않는바, 모든 이용자를 대상으로 하는 전반적인 노면표시 이해도 향상 방안의 도출이 필요하다고 판단된다.

Keywords

References

  1. Agresti, A. (1996). An introduction to categorical data analysis. John Wiley & Sons, Inc, New York, N.Y.
  2. Australian Road Research Board (1989). Understanding Traffic Control Devices. Special Report No. 44. Melbourne, Victoria, Australia.
  3. Busan Development Institute (2011). How to Improve Traffic Culture of Busan Drivers?. Presentation Material, Busan Development Institute, Busan, S. Korea (in Korean).
  4. Busan Metropolitan City (2011). Busan Metropolitan City 2011 Activity Report, pp. 465-484 (in Korean).
  5. Dougald, L.E. (2010). Best Practices in Traffic Operation and Safety: Phase II: Zig-zag Pavement Markings. Virginia Transportation Research Council Resarch Report, FHWA/VTRC 11-R9.
  6. Enforcement Rule for Korean Road Traffic Act. (2011.4.30. partially revised) (in Korean).
  7. Hashim, A.M, Abdul Rahman, A.J. (2002). "Role of drivers' personal characteristics in understanding traffic sign symbols." Accident Analysis & Prevention, No. 34, Vol. 2, pp. 185-196. https://doi.org/10.1016/S0001-4575(01)00012-4
  8. Hawkins, H.G., Womak, K.N., Mounce, J.M. (1993). "Driver comprehension of regulatory signs, warning signs, and pavement marking." Transportation Research Records 1403, pp. 67-82.
  9. Hulbert S. and Fowler, P. (1979), Motorists' Understanding of Traffic Control Devices. AAA Foundation for Traffic Safety, Falls Church, V.A..
  10. J. Kim, Lee, S., Kim, Y., Yoo, I. (2007). "Improvement of the retroreflectivity Performance of the road markings." 2007 Conference of the Korean Society of Hazard Mitigation, pp. 101-104 (in Korean).
  11. Long, J. S. (1997). Regression models for categorical and limited dependent variables. Advanced Quantitative Techniques in the Social Sciences Series 7. SAGE Publications.
  12. M. Lee, Cheon, C., Park, J. (2008). "An experimental study on retro-reflectivity of road markings using recycled glass." Journal of The Korean Society of Disaster Information, pp. 68-91 (in Korean).
  13. Mutabazi M. (2009). "Dilemma of ZigZag lines at mid-Block pedestrian crossings." TRB 88 th Annual Meeting Compendium of Papers CD-ROM. Washington, D.C..
  14. National Police Agency (2005), Manual for Traffic Pavement Markings (2011.4.30. partially revised version) (in Korean).
  15. S. Hong, Oh, C., Jang, J., Kim, K., Jang, M. (2012). "Designing pavement marking for Hi-pass lane based on Kansei engineering." Journal of Korean Society of Road Engineers, Vol. 4, No. 1, pp. 73-83 (in Korean).
  16. W. Yeo, Lee, D., Bae, K. (1998). "Development of the optimum condition for improving retroreflection of road markings." 34 th Conference of the Korean Society of Transportation Engineers, pp. 342-351 (in Korean).

Cited by

  1. Mathematical Analysis on the Perception of Pavement Markings Using 'Math Field Trip' vol.34, pp.3, 2016, https://doi.org/10.7470/jkst.2016.34.3.248