Development of Greenhouse Gas Estimation Method for a Local Government Level Using Traffic Demand Model

Abstract Greenhouse gas emissions have been an important issue in different countries because of their effects on global warming. The government has to organize greenhouse gas reduction measures suitable to regional characteristics by establishing annual implementation plans and comprehensive policies based on the UNFCCC. The transportation sector is one of the major contributors of air pollution; hence increasing need to estimate current and future traffic emissions precisely. Under these circumstances, a number of emission models have been developed recently. However, current methods of estimation cannot carry out effective analyses because it does not reflect vehicle movement characteristics. This study aims to present a new method for calculating road traffic emissions in Goyang city. A travel demand model is utilized to carry out GHG emission estimates according the traffic data (fleet composition, vehicle kilometers travelled, traffic intensity, road type, emission factors and speed). This study evaluates two approaches to estimate the road traffic emissions in Goyang City: Pollution-Emis and the Handbook of Emission Factors for Road Transport (HBEFA v.3.1) which is representative of the “average speed” and the “traffic situation” model types. The evaluation of results shows that the proposed emission estimation method may be a good practice if vigilant implementation of model inputs is observed.Keywords: GHG emission inventory, emission model, travel demand model, road traffic * 주저자 : 공주대학교 교통공학과 석사과정 ** 공저자 및 교신저자 : 국토연구원 국토인프라 연구본부 연구원 *** 공저자 : 공주대학교 건설환경공학부 도시·교통공학 교수 **** 공저자 : 서울대학교 건설환경종합연구소 연구교수† 논문접수일 : 2013년 6월 5일† 논문심사일 : 2013년 6월 12일† 게재확정일 : 2013년 6월 18일