Recently, the common interest of the entire world is the energy crisis and the climate change, and among these, the global warming is one of the most issued problems. Thereupon, United Nations Conference on Environment and Development (UNCED) issued Kyoto Protocol that specified binding obligations of reduction in greenhouse gases. Our country does not have obligations of reduction in greenhouse gases during the first commitment period (2008 ? 2012) as a non-Annex I country. However, international pressure for obligations of reduction is increasing upon us as the 10th greenhouse gases-emitting country and a member of OECD. Accordingly, the government proposed “low carbon green growth” as a vision of the national advancement and set the goal of reduction in greenhouse gases, leading to the active discussion for establishing the institutional basis and a green transportation and logistics system.
For realizing the low carbon green growth, the calculation method and reduction effects in the transportation and logistics sector that accounts for 20% of total emission of the energy sector were suggested for some of the policies. However, such methods are neither elaborate nor consistent, and mainly the vehicle stock-oriented calculation of the emission of greenhouse gases is being fragmentarily suggested.
In particular, although traffic-related data exist that can calculate the mileage needed for Tier 3, a sets of single data classified for each region, type of vehicle, type of fuel, and type of roads is lacking, which necessitates the gaining of the reliability in calculating the emission of greenhouse gases.
Hence, this study aims to propose a more accurate and advanced method of constructing the mileage that can calculate the regional-based emission of greenhouse gases. For the systematic and mileage-based calculation of the emission of greenhouse gases with high reliability, this study proposed the methodology of estimating the emission of greenhouse gases through the integration of mileage data of Korea Transportation Safety Authority, vehicle registration statistics data of Ministry of Land, Transport and Maritime Affairs, road traffic statistics, data from Korea Transport Database (KTDB) of Korea Transport Institute, and speed check data of local governments. It is of great significance that this study suggests the calculation method of the emission standard of greenhouse gases reflecting travel patterns (in- and outflow traffic, internal traffic) through the integration of transportation-related data.
As a case application, the calculation was made for Seoul, which gave the result (average mileage × the number of vehicles registered), (traffic × the length of roads) that the emission of greenhouse gases based on the mileage was calculated lower than that based on the methodology proposed in this study