• Title/Summary/Keyword: Electrification in the transportation sector

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Drivers of Carbon Decoupling in Transportation Sector and the Effect of Energy Transition: Panel Analysis of 25 OECD Countries (교통부문 탄소배출 탈동조화 현상의 원인분석 및 에너지전환의 효과: OECD 25개국 패널분석)

  • Lim, Hyungwoo;Jo, Ha-Hyun
    • Environmental and Resource Economics Review
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    • v.29 no.3
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    • pp.389-418
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    • 2020
  • Some OECD countries are showing signs of decoupling in the transportation sector. In terms of sustainable development, the decoupling of economic activities and greenhouse gas emissions in the transportation sector is very important. This study calculated a decoupling index of greenhouse gas emissions in the transportation sector for 25 OECD countries. Also this study analyzed the impact of energy transition on decoupling regimes. According to the analysis, a considerable number of countries have reached the decoupling phase, and some countries have shown strong decoupling regime in which greenhouse gas emissions are reduced despite economic growth. From ordered panel logit analysis, energy transition had significant impact on achieving decoupling phase. Electrification of transport had a positive effect on the decoupling, while the gasification was not significant. In addition, small traffic, high urbanization rates, strong environmental policies, and high trade opening have had significant effects on achieving decoupling.

Analysis of domestic and foreign future automobile research trends based on topic modeling (토픽모델링 기반의 국내외 미래 자동차 연구동향 비교 분석: CASE 키워드 중심으로)

  • Jeong, Ho Jeong;Kim, Keun-Wook;Kim, Na-Gyeong;Chang, Won-Jun;Jeong, Won-Oong;Park, Dae-Yeong
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.463-476
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    • 2022
  • After industrialization in the past, the automobile industry has continued to grow centered on internal combustion engines, but is facing a major change with the recent 4th industrial revolution. Most companies are preparing for the transition to electric vehicles and autonomous driving. Therefore, in this study, topic modeling was performed based on LDA algorithm by collecting 4,002 domestic papers and 68,372 overseas papers that contain keywords related to CASE (Connectivity, Autonomous, Sharing, Electrification), which represent future automobile trends. As a result of the analysis, it was found that domestic research mainly focuses on macroscopic aspects such as traffic infrastructure, urban traffic efficiency, and traffic policy. Through this, the government's technical support for MaaS (Mobility-as-a-Service) is required in the domestic shared car sector, and the need for data opening by means of transportation was presented. It is judged that these analysis results can be used as basic data for the future automobile industry.