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A Study on Greenhouse Gas Emissions Estimation based on Mileage Through Accumulation of Activity Databases

활동자료 구축을 통한 주행거리 기반의 온실가스 배출량산정방법에 관한 연구

  • Bae, Bo Ram (National Infrastructure Research Division, Korea Research Institute for Human Settlements) ;
  • Kim, Gyeong Seok (Department of Civil & Environment Engineering, Kongju National University)
  • 배보람 (국토연구원 국토인프라연구본부) ;
  • 김경석 (국립공주대학교 건설환경공학부)
  • Received : 2013.08.19
  • Accepted : 2014.02.11
  • Published : 2014.02.28

Abstract

The tier 3 methodology used in estimation of greenhouse gas emissions from road sectors is based on mileage data. However, such data can neither accurately represent the mileage of regional unit nor have sufficient integrated data reflecting the characteristics by region, vehicle type, fuel type and road type. Such estimation of greenhouse gas emissions is not reliable. Accordingly, the purpose of this study is, firstly to accumulate activity data based on distance traveled which enables us to accurately estimate the amount of green gas emitted by regional unit(emission point), and secondly, to develop a methodology for estimation of greenhouse gas emissions using these data. To do this, the study utilizes the mileage data of Korea Transportation Safety Authority(TS), statistics of registered motor vehicles, statistical yearbook of traffic volume from the Ministry of Land, Infrastructure and Transport(MLIT), the Korea Transport Database of the Korea Transport Institute(KOTI), and average road speed by local government. Methodology for estimation by local government level(emission point) is meaningful, because it reflects traffic pattern data including flow in and out and internal traffics. Finally, to verify the methodology presented in this study, it is applied to Seoul. Both greenhouse gas estimates, one by multiplying the average mileage and the number of registered vehicles and the other by multiplying traffic volume and road extension, are less than the amount estimated by the methodology presented in this study.

도로부문의 온실가스배출량 산정시 활용되는 tier3방법론은 주행거리데이터를 기반으로 한다. 하지만 기존 대부분의 자료들은 단독으로 지역단위의 주행거리를 대변할 수 없고 지역별, 차종별, 연료별, 도로유형별 특성을 반영한 통합활동자료(주행거리데이터)가 미흡하여 온실가스배출량 산정의 신뢰도가 부족하다. 따라서 본 연구는 첫째, 지자체단위(배출지점)의 정확한 온실가스배출량을 산정할 수 있는 주행거리기반의 활동자료(통합데이터베이스) 구축과 이를 활용한 온실가스배출량 산정방법론을 제시하는 것을 목적으로 한다. 이를 위해 교통안전공단의 주행거리자료, 국토해양부의 차량등록통계, 도로교통량, 한국교통연구원의 국가교통데이터베이스, 지방자치단체 평균속도 등을 활용하였으며, 이는 교통관련 데이터의 통행패턴(유 출입교통량, 내부교통량)을 반영하여 지자체단위(배출지점)의 산정방법을 제시하였다는 점에서 의의가 있다. 둘째, 본 연구에서 제시한 방법론 검증을 위해 적용대상지를 서울시로 하였으며, 본 연구에서 제시한 모형의 검증을 위하여 기존에 발표된 세 가지 온실가스배출량 산정결과와 비교하여 적정수준임을 제시하였다.

Keywords

References

  1. Bu-san si (2007), Greenhouse Gas Emission Reservice.
  2. Environment Management Corporation (2009), 2006 IPPC Guidelines for National Greenhouse Gas Inventories Application for Local Greenhouse Gas Emission Calculation Guidelines.
  3. Hwang B. K. (2010), Analysis and Prospect on Green House Gas Emission sin Korea by Using Bottom-Up Model, Keimyung University.
  4. IPCC (2008), 2006 IPCC Guidelines for National Greenhouse Inventories.
  5. Kim J. G., Lee D. G. (2009), Estimation of the Greenhouse Gas Emission From Road Source by Utilization and Integration of Road, Traffic and Statistical Data, Eco-Frontier, Sustainability Issue papers, 113.
  6. Kim J. S. (2012), A Study on the Development of Bottom-Up Greenhouse Gas Inventory Data Base With Transportation Sector In Seoul, University of Seoul.
  7. Kim T. H., Lee S. I., Kim Y. I., Rho J. H. (2010), Comparison Study of Generated Greenhouse Gas(GHG) Amount Estimation From Road Transportation, Daewoo Construction Technology Report, 58(9), 68-73.
  8. Korea Expressway (2012), Greenhouse Gas Inventories Deployment Research and Information Management.
  9. Korea Transportation Safety Authority (2011), Analysis of Automobile Mileage of 2010.
  10. Ministry of Environment (2008), GHG Emission Inventory and Emission Factor Development in Environment Sector.
  11. Ministry of Land Transport and Maritime Affairs (2011), Sustainable National Transportation and Logistics Master Plan.
  12. Oh I. H., Lee S. H., Cheong J. P., Kim T. H., Seo J. Y. (2009), Evaluation of Greenhouse Gases by Transportation Using Traffic Census Results From Changwon City, Journal of the Environmental Sciences, 18(7), 747-754. https://doi.org/10.5322/JES.2009.18.7.747
  13. Oh S. E. (2012), Development of Evaluation Model for Carbon Emission Reducing Policy in Transportation, korea Aerospace university.
  14. Park S. K., Kim S. D., Lee Y. I. (2001), Comparative Study on the Methodology of Motor Vehicle Emission Calculation by Using Real-Time Traffic Volume in the Kangnam-Gu, J. Korean Soc. Transp., 19(4), 35-47.
  15. Reynolds A. W. (2000), Development of an Emissions inventory for Mobile source, Transportation Research Part D5, 77-101.
  16. Ryu B. Y., Bae S. H., Han S. Y., Kim G. Y. (2011), Comparative Study for Estimation of Greenhouse Gas for Local Government's Sustainable Transport, J. Korean Soc. Transp., 29(5), 55-65.
  17. Shin Y. I., Jung H., Lee J. K., Choi S. H., Jeong E. R., Lee H. J., Park Y. S. (2010), Estimation of the Greenhouse Gas Emission From Road Source by the Tier 3, KSAE 2010 Annual Conference, 699-704.
  18. The Korea Transport Institute (2007), A Framework for Sustainable Transport and Logistics Policies.
  19. The Seoul Institute (2009), Understanding CO2 Emissions From Transport Sector Toward Developing Reduction Strategies.