DC Field | Value | Language |
---|---|---|
dc.contributor.author | KIM, HANSUNG | - |
dc.contributor.author | MIH, DAIKI | - |
dc.contributor.author | CHOI, DONG GU | - |
dc.date.accessioned | 2020-01-03T06:52:10Z | - |
dc.date.available | 2020-01-03T06:52:10Z | - |
dc.date.created | 2019-12-13 | - |
dc.date.issued | 2019-10-21 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/100606 | - |
dc.description.abstract | South Korea needs to reduce greenhouse gas (GHG) emissions by 37% compared to the BAU scenario by 2030. The road transportation sector is one of the major sectors that consume a large amount of energy. The Korean government is planning various policies to reduce GHG emissions in the sector such as the dissemination of eco-friendly vehicles. In this study, we model a bottom-up energy system for the road sector and analyze the effects of various policies. The model comprises the demand projection module, modal shift module, vehicle stock module, and scrappage module. Based on the model, we analyze the amounts of GHG reduction by 2050 from four major policies. | - |
dc.language | English | - |
dc.publisher | INFORMS(국제경영과학회) | - |
dc.relation.isPartOf | 2019 INFORMS Annual Meeting | - |
dc.relation.isPartOf | 2019 INFORMS Annual Meeting | - |
dc.title | Modeling an Energy System Model for the Road Transportation Sector to Analyze Greenhouse Gas Reduction Policies in South Korea | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | 2019 INFORMS Annual Meeting | - |
dc.citation.conferenceDate | 2019-10-20 | - |
dc.citation.conferencePlace | US | - |
dc.citation.title | 2019 INFORMS Annual Meeting | - |
dc.contributor.affiliatedAuthor | KIM, HANSUNG | - |
dc.contributor.affiliatedAuthor | CHOI, DONG GU | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
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