The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
권호 표지
DOI QR코드

DOI QR Code

Development of Traffic Accident Rate to Improve the Reliability of the Valuation of Accident Costs Savings on National Highways

국도 사고비용 산정의 신뢰도 향상을 위한 사고원단위 개선

  • Received : 2023.08.11
  • Accepted : 2023.10.13
  • Published : 2023.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

The accident rate in South Korea is simply classified according to the road type and the number of lanes, but other countries apply various factors affect accidents. In this study, national highways where accidents occurred were divided into urban, rural, older, and modern roads using TAAS(Traffic Accident Analysis System) data, and a model of accident costs savings is suggested. As a result of analyzing 1,416.2 km, the fatality rate(person/100mil-vehicle·km) was 4.21 for urban-older, 1.37 for urban-modern, 2.18 for rural-older, and 0.99 for rural-modern roads. The rates of urban roads had a higher result than rural. The injury rate(person/100mil-vehicle·km) for urban-older was 182.63, that for urban-modern was 103.42, that for rural-older was 67.44, and that for rural-modern road was 42.96, which showed a similar pattern to fatality rates. Accident rates of a modern road were much lower than the KDI Guideline. The benefit of applying the result of this study was calculated and the valuation of accident costs savings is increased from 0.6% to 14.1%, while B/C is improved from 0.626 to 0.724.

우리나라 도로 사고원단위는 도로 종류와 차로 수에 따라 단순 구분하고 있으나, 국외는 사고에 영향을 미치는 다양한 요소를 적용하고 있다. 본 논문은 TAAS(Traffic Accident Analysis System)의 사고 자료를 이용하여 일반국도 사고원단위를 도시부, 지방부, Older, 및 Modern 도로로 세분하였으며, 사고절감비용 산정 모형을 제시하였다. 국도 1,416.2km의 표본을 토대로 분석된 사망원단위(인/억대·km)는 도시부-Older 4.21, 도시부-Modern 1.37, 지방부-Older 2.18 및 지방부-Modern 0.99로 Older가 Modern 도로보다 높고, 도시부가 지방부보다 높게 분석되었다. 부상원단위(인/억대·km)는 도시부-Older 182.63, 도시부-Modern 103.42, 지방부-Older 67.44 및 지방부-Modern 42.96으로 사망원단위와 유사한 패턴으로 분석되었다. Modern 도로의 경우 KDI 지침의 사고원단위보다 매우 낮은 수준이다. 본 연구의 사고원단위를 적용하여 편익을 산정한 결과 사고비용절감편익 비율이 0.6%에서 14.1%로 증가하였으며, B/C는 0.626에서 0.724로 개선되었다.

Keywords

References

  1. Ham, J.(2005), A Study on the Traffic Accident Rates of Road Forms, Master's Thesis, University of Seoul, pp.15-17.
  2. Kim, S.(2021), Accidents on Main Rural Highways Related to Road and Traffic Characteristics, and Analysis of Road User Benefits, Doctoral Dissertation, University of Seoul, Seoul, Republic of Korea, pp.13-25, 147-171.
  3. Korea Development Institute(2017), A study on the Methodology of Benefit Calculation in the Transportation Sector, pp.167-172.
  4. Korea Development Institute(2021a), Detailed Guidelines for Preliminary Feasibility Study Research on Roads and Railways, pp.294-299.
  5. Korea Development Institute(2021b), The 5th National Highway and Local Road 5-Year Plan Batch preliminary feasibility study, pp.116-122.
  6. Lee, S. W., Song, S. H. and Kim, M. H.(2011), "A Method of Quantifying Unit Traffic Accidents Cost for Estimating Accident Reduction Benefits", Transportation and Policy, vol. 8, no. 1, pp.15-27.
  7. Ministry of Land, Infrastructure and Transport(2017), Transport Facility Investment Evaluation Guidelines, pp.181-214.
  8. Ministry of Land, Infrastructure and Transport(n.d.), Traffic Monitoring System(TMS), http://www.road.re.kr/, 2022.12.22.
  9. The Road Traffic Authority(KoROAD)(2021a), Comparison of Traffic Accidents in OECD Member Countries, pp.57-58.
  10. The Road Traffic Authority(KoROAD)(2021b), Traffic Accident Statistical Analysis, p.208.
  11. The Road Traffic Authority(KoROAD)(n.d.), Traffic accident analysis system(TAAS), http://taas.koroad.or.kr, 2023.01.20.
  12. US. Department of Transportation, Federal Highway Administration(2000), Highway Economic Requirements System(HERS), Technical Report, pp.7/15-7/27.