Peer-reviewed articles 17,970 +



Title: ANALYSIS OF ERROR FACTORS IN REGIONAL GHG ESTIMATION BASED ON FUEL CONSUMPTION: FOCUS ON THE ROAD TRANSPORT SECTOR

ANALYSIS OF ERROR FACTORS IN REGIONAL GHG ESTIMATION BASED ON FUEL CONSUMPTION: FOCUS ON THE ROAD TRANSPORT SECTOR
Changhun Kim; Jiyeon Lee; Minji Koh; Seung-Neo Son
10.5593/sgem2024v/6.2
1314-2704
English
24
6.2
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
The climate crisis due to global warming is intensifying, and international cooperation to curb temperature rise is underway. South Korea has set GHG reduction targets, along with systems for implementation and assessment to achieve these goals. South Korea currently applies the IPCC-Tier2 method based on fuel consumption to estimate GHG emissions at the national level. Additionally, starting in 2024, it has begun estimating GHG emissions at the level of 17 local cities. However, applying the fuel consumption-based GHG estimation method at the local level can lead to errors, as it cannot accurately estimate GHG emissions from cross-regional traffic. Accordingly, this study conducted the following analyses to identify the error factors when applying the fuel consumption-based GHG estimation method at the local level. First, GHG emissions were estimated for 25 districts in Seoul, South Korea, based on fuel consumption and VKT (Vehicle Kilometers Traveled). After identifying the differences in emissions based on the estimation method, a regression analysis was conducted to determine the factors influencing these differences. The analysis showed that the errors in the fuel consumption-based GHG estimation method result from GHG emissions generated by commercial vehicles and freight trucks. Since commercial vehicles and freight trucks travel across multiple regions, it is likely that their refueling areas differ from their areas of operation, which may explain this outcome. This study analyzed the limitations and error factors when estimating GHG emissions at the local level based on fuel consumption. The analysis results suggest a necessity to develop methodologies for accurately estimating carbon emissions at the local level.
In the text, cite the literature in the appropriate places only by number:
/no more than 15-20 references for an 8-page article/
[1] Barth, M., An, F., Norbeck, J., & Ross, M. (1996). Modal Emissions Modeling: A Physical Approach. Transportation Research Record, 1520(1), 81-88. https://doi.org/10.1177/0361198196152000110
[2] Reynolds A.W., Broderick, B.M., (2000). Development of an emissions inventory model for mobile sources. Transportation Research Part D: Transport and Environment, 5(2), 77-101. https://doi.org/10.1016/S1361-9209(99)00025-5.
[3] Ki-Dong Kim, Hyun-Ki Ko, Tae-Jung Lee, & Dong-Sool Kim (2011). Comparison of Greenhouse Gas Emissions from Road Transportation of Local Government by Calculation Methods. Journal of Korean Society for Atmospheric Environment, 27(4), 405-415. https://doi.org/10.5572/KOSAE.2011.27.4.405
[4] KESIS. (2024). KESIS - Korea Education and Research Information Service. https://www.kesis.net/sub/sub_0003.jsp
[5] Seoul Metropolitan Government. (2024). [Traffic] Status of Pedestrian-Friendly Street Development. https://news.seoul.go.kr/traffic/archives/417
[6] Seoul Metropolitan Government. (2024). Seoul Public Transportation Card Data. https://data.seoul.go.kr/dataList/10965/S/2/datasetView.do
This work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant RS-2023-00245871).
conference
Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
24th International Multidisciplinary Scientific GeoConference SGEM 2024, 27 - 30 November, 2024
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
249-256
27 - 30 November, 2024
website
10182
Greenhouse-gas, MRV System, Road Transportation, Mileage-based

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