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도로 제설 시나리오별 소요 제설장비 및 차량 추정에 관한 연구

Estimating Equipment and vehicle Demands for Snow Removal Tasks by Road Snow Removal Scenarios

  • Kim, Heejae (Department of Urban Planning, Kangnam University) ;
  • Kim, Sunyoung (Department of Urban Planning, Kangnam University) ;
  • Kim, Geunyoung (Department of Urban Planning, Kangnam University)
  • 투고 : 2017.05.17
  • 심사 : 2017.06.30
  • 발행 : 2017.06.30

초록

기후변화로 인한 지구 온난화 현상으로 대설재난의 발생을 예측하기가 더욱 어려워지면서 신속한 도로제설이 중요해지고 있다. 우리나라의 지자체는 관할 행정구역의 강설 및 도로특성을 고려하지 않고 과거 경험을 참고하여 제설장비와 차량을 보유하고 있다. 본 연구는 우리나라 지자체의 강설과 도로 특성을 고려하여 제설장비와 차량 수요를 추정하는 절차를 개발하는 데 목적이 있다. 본 연구는 첫 단계로 기상청의 과거 10년 강설자료를 이용하여 지역의 강설 특성을 유형화한 후 관리기관별 도로제설 연장을 산정하였다. 다음으로 도로제설 시나리오를 설정하여 지자체의 제설장비와 차량 수요를 추정하고 실제 보유량과 비교하였다. 마지막으로 지역별 강설량과 제설시간을 고려하여 지자체별 필요 제설장비와 차량수요를 추정하였다. 본 연구의 결과는 229개 지자체별로 적정 제설차량과 장비를 보유하고, 제설노선을 결정하는 대설재난 관리정책을 수립하는데 활용할 수 있다.

Rapid roadway snow removal is significantly important due to difficult occurrence estimation of heavy snowfall disasters by global warming and climate change. Local governments of S. Korea have snow removal equipments and vehicles based on past experiences without considering snowfall and roadway characteristics. The objective of this research is to develop the demand estimation procedure for snow removal equipments and vehicles based on regional snowfall and roadway characteristics. This research first classifies regional snowfall characteristics using KMO's ten-year snowfall data. Second, roadway snow removal length is computed for local governments. Real possession data is compared with demand estimation of snow removal equipments & vehicles for each local government with roadway snow removal scenarios. Finally, required demands of snow removal equipments & vehicles are predicted by concerning regional snowfall amount and required snow removal hours. Results from this research are used for developing heavy snowfall disaster management policies for optimal demands and snow removal routes of 229 local governments.

키워드

참고문헌

  1. City of Altoona Public Works Department (2015). Snow and Ice Control Plan
  2. Jenks, G. F. (1967). The data model concept in statistical mapping. International yearbook of cartography, 7(1), 186-190.
  3. Korea Ministry of Public Safety and Security (2015). Disaster Report.
  4. Ministry of Construction and Transportation (2003). Road Snow Removal Handbook.
  5. Ministry of Land, Infrastructure and Transport (2014). Road Snow Removal Guidelines.
  6. National Emergency Management Agency (2012). The Development of Heavy Snowfall Casualty Minimization Policies and Optimal Road Snow Removal Systems Considering Climate Change.
  7. Pierce County (2010). All Hazards Emergency Response and Continuity of Operation Plan
  8. Road Management Division (2004). Overseas snow removal materials
  9. Seoul City Press Report, (2017). Seoul Firefighting Disaster Management Headquarter, Safety Preparedness Policy Implementation for Typhoon & Heavy Rainfall Disasters, 2017.5.16.
  10. Seoul city (2014). Plan for winter snow removal 2014
  11. www.retech.kr
  12. Yang, C.H et al.(2013). A study on the construction method of snow removal system of advanced road, Korea Institute of Civil Engineering and Building Technology.
  13. Yang, C.H., Kim, I.S.(2012). Fundamental Exanmination for Estimation of Snow Removal Instruments, Korean society of Transportaion Conference Proceedings 2012. 327-331
  14. Yoon, S., Park, K., & Kim, G. (2015). An Analysis of Potential Danger Factors by the Characteristics of Heavy Snow-Focused 11 Cities and Guns in Chungcheongbuk-do. Journal of The Korean Society of Disaster Information, 11(1), 23-34. https://doi.org/10.15683/kosdi.2015.11.1.23
  15. 冬センター(2003). Basic knowledge and phenomenon of freezing prevention
  16. 北海道開發局(1997). Winter road management manual