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http://dx.doi.org/10.7470/jkst.2014.32.6.694

A Study on Estimation of CO2 Emission and Uncertainty in the Road Transportation Sector Using Distance Traveled : Focused on Passenger Cars  

Park, Woong Won (Safety Research Office, Korea Transportation Safety Authority)
Park, Chun Gun (Department of Mathematics, Kyonggi University)
Kim, Eungcheol (Department of Civil and Environmental Engineering, Incheon National University)
Publication Information
Journal of Korean Society of Transportation / v.32, no.6, 2014 , pp. 694-702 More about this Journal
Abstract
Since Greenhouse Gas Inventory & Research Center (GIR) of Korea was founded in 2010, the annual greenhouse gas inventory reports, one of the collections of GIR's major affairs, have been published from 2012. In the reports many items related to greenhouse gas emission quantities are included, but among them uncertainty values are replaced to basic values which IPCC guideline suggests. Even though IPCC guideline suggests the equations of each Tier level in details, the guideline recommends developing nation's own methodology on uncertainty which is closely related to statistical problems such as the estimation of a probability density function or Monte carlo methods. In the road transportation sector the emissions have been calculated by Tier 1 but the uncertainties have not been reported. This study introduce a bootstrap technique and Monte carlo method to estimates annual emission quantity and uncertainty, given activity data and emission factors such as annual traveled distances, fuel efficiencies and emission coefficients.
Keywords
bootstrap; distance traveled; fuel efficiency; monte carlo; uncertainty;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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