Journal of Korean Society of Disaster and Security (한국방재안전학회논문집)

Korean Society of Disaster & Security (한국방재안전학회)
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A Study on Estimation of Road Vulnerability Criteria for Vehicle Overturning Hazard Impact Assessment

차량 전도 위험 영향 평가를 위한 도로 취약성 기준 산정에 관한 연구

  • Kyung-Su Choo (Urban Environment Disaster Management, Kangwon National University) ;
  • Dong-Ho Kang (Urban Environment Disaster Management, Kangwon National University) ;
  • Byung-Sik Kim (Urban Environment Disaster Management, Kangwon National University) ;
  • In-Jae Song (Dahan Engineering & Consultant Co.)
  • 추경수 (강원대학교 도시환경재난관리전공) ;
  • 강동호 (강원대학교 도시환경재난관리전공) ;
  • 김병식 (강원대학교 도시환경재난관리전공) ;
  • 송인재 ((주)다한이앤씨)
  • Received : 2023.05.19
  • Accepted : 2023.06.08
  • Published : 2023.06.30
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Abstract

Impact based forecast refers to providing information on potential socioeconomic risks according to weather conditions, away from the existing weather factor-oriented forecast. Developed weather countries are investing manpower and finances in technology development to provide and spread impact information, but awareness of impact based forecasts has not spread in Korea. In addition, the focus is on disasters such as floods and typhoons, which cause a lot of damage to impact based forecasts, and research on evaluating the impact of vehicle risks due to strong winds in the transportation sector with relatively low damage is insufficient. In Korea, there are not many cases of damage to vehicle conduction caused by strong winds, but there are cases of damage and the need for research is increasing. Road vulnerability is required to evaluate the risk of vehicles caused by strong winds, and the purpose of this study was to calculate the criteria for road vulnerability. The road vulnerability evaluation was evaluated by the altitude of the road, the number of lanes, the type of road. As a result of the analysis, it was found that the vulnerable area was well reproduced. It is judged that the results of this study can be used as a criterion for preparing an objective evaluation of potential risks for vehicle drivers.

영향예보는 기존의 기상요소 중심의 예보에서 벗어나 기상상황에 따른 잠재적 사회경제적 위험도 정보를 함께 제공하는 것을 의미한다. 기상 선진국들은 영향정보 제공 및 확산을 위한 기술개발에 인력과 재정을 투입하고 있지만 국내에서는 영향예보에 대한 인식이 확산되어 있지 않다. 또한 영향예보 피해가 많이 발생하는 홍수, 태풍 등의 재난에 초점이 맞춰져 있으며 상대적으로 피해발생이 적은 교통 분야의 강풍으로 인한 차량 위험 영향 평가에 대한 연구는 부족한 실정이다. 국내에서는 강풍으로 인한 차량 전도에 대한 피해 사례는 많이 없지만 과거 피해 사례가 존재하며 연구에 대한 필요성이 높아지고 있다. 강풍으로 인한 차량의 위험(Risk) 평가를 위해서는 도로의 취약성(Vulnerability)이 필요하며 본 연구에서는 도로의 취약성 기준을 산정하는 것을 목적으로 하였다. 도로의 취약성 평가는 도로의 고도, 차선 수, 도로 유형으로 평가하였다. 분석결과 사고사례가 있던 지역의 취약성 지역을 잘 재현하는 것으로 나타났다. 본 연구의 성과를 이용하여 차량 운전자에게 잠재적 위험에 대한 객관적인 평가 마련에 대한 기준으로 활용할 수 있을 것이라 판단된다.

Keywords

Acknowledgement

This research was support by a (2022-MOIS63-002) of Cooperative Research Method and Safety Management Technology in National Disaster funded by Ministry of Interior and Safety (MOIS, Korea).

References

  1. Ganin, A. A., M. Kitsak, D. Marchese, J. M. Keisler, T. Seager, and I. Linkov. (2017). Resilience and Efficiency in Transportation Networks. Science Advances. 3(12): e1701079. 
  2. Gui, C., D. Yan, T. Hong, C. Xiao, S. Guo, and Y. Tao. (2021). Vertical Meteorological Patterns and their Impact on the Energy Demand of Tall Buildings. Energy and Buildings. 232: 110624. 
  3. Hemingway, R. and J. Robbins. (2019). Developing a Hazard-Impact Model to Support Impact-Based Forecasts and Warnings: The Vehicle OverTurning (VOT) Model. Meteorological Applications. 27(1): e1819. 
  4. Kim, Chul-Ho, Chang-Sun Kim, and Seung-Hyun Lee. (2016). Development of a Numerical Algorithm for the Evaluation of Aerodynamic Driving Stability of a Vehicle. Transactions of the Korean Society of Automotive Engineers. 24(3): 265-272.  https://doi.org/10.7467/KSAE.2016.24.3.265
  5. Kim, Ho Kyung, Se Jin Kim, and Jae Yeong Lim. (2020). Intelligent Traffic Operational Strategy of Sea-Crossing Bridges under Strong Winds - Application of Vehicle Aerodynamics and Deep Learning Algorithm. KSCE Magazine. 68(7): 28-33. 
  6. Kim, Hye-min, Kyoung-ryoul Min, In-Gyum Kim, Byunghwan Lim, Min-Jeong Youn, and Seungbum Kim. (2017). Paradigm Shift to Impact-Based Forecasting and Warning Services for Natural Hazard Response. Innovation Studies. 12(3): 161-178.  https://doi.org/10.46251/INNOS.2017.08.12.3.161
  7. Kim, Sang Yeop and Jae Yeop Choi. (2008). The analysis of the crosswind effects on overturn and sliding of high speed vehicle. Proceedings of the 59th Academic Presentation of the Korean Society of Transportation. 765-773. 
  8. Korea Highway Corporation Road Traffic Technology Institute. (2003). Enhancement of Driving Safety in Heavy Wind Highway Sections. Gimcheon: EX. 
  9. Lee, Il-Geun and Jun-Sang Jo. (2011). Road Safety Facilities for the Safety of Vehicle Driving in Strong Winds. Magazine of the Korean Society of Road Engineers. 13(1): 14-21. 
  10. Lee, Ki Kwang, Jae Kwan Shim, and Su Ji Cho. (2022). Estimation of Risk Levels of Impact Forecast for Heavy Snow Event by Using Big Data of Media Articles. The e-Business Studies. 23(1): 233-245.  https://doi.org/10.20462/tebs.2022.2.23.1.233
  11. Met Office. (2018). Weather Warnings Guide [online]. Exeter: Met Office. 
  12. Omer, M., A. Mostashari, and R. Nilchiani. (2013). Assessing Resilience in a Regional Road-Based Transportation Network. International Journal of Industrial and Systems Engineering. 13(4): 389-408.  https://doi.org/10.1504/IJISE.2013.052605
  13. Perry, A. and L. Symons. (1994). The Wind Hazard in the British Isles and Its Effects on Transportation. Journal of Transport Geography. 2(2): 122-130.  https://doi.org/10.1016/0966-6923(94)90018-3
  14. Petrini, F., K. Gkoumas, C. Rossi, and F. Bontempi. (2020). Multi-Hazard Assessment of Bridges in Case of Hazard Chain: State of Play and Application to Vehicle-Pier Collision Followed by Fire. Frontiers in Built Environment. 6: 580854. 
  15. Smith, B. W. and C. P. Barker. (1998). Design of Wind Screens to Bridges, Experience and Applications on Major Bridges. Bridge Aerodynamics. 3: 289-298. 
  16. Snaebjornsson, J. Th., C. J. Baker, and R. Sigbjornsson. (2007). Probabilistic Assessment of Road Vehicle Safety in Windy Environments. Journal of Wind Engineering and Industrial Aerodynamics. 95(11): 1445-1462.  https://doi.org/10.1016/j.jweia.2007.02.020
  17. Transport and Road Research Laboratory. (1975). Wind Forces on Vehicles. TRRL Leaflet 445. Berkshire: TRRL.