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http://dx.doi.org/10.14400/JDC.2022.20.5.463

Analysis of domestic and foreign future automobile research trends based on topic modeling  

Jeong, Ho Jeong (Big Data Center, Daegu Digital Industry Promotion Agency)
Kim, Keun-Wook (Big Data Center, Daegu Digital Industry Promotion Agency)
Kim, Na-Gyeong (Big Data Center, Daegu Digital Industry Promotion Agency)
Chang, Won-Jun (Big Data Center, Daegu Digital Industry Promotion Agency)
Jeong, Won-Oong (Big Data Center, Daegu Digital Industry Promotion Agency)
Park, Dae-Yeong (KAIST College of Business)
Publication Information
Journal of Digital Convergence / v.20, no.5, 2022 , pp. 463-476 More about this Journal
Abstract
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.
Keywords
Future car; Research Trend; Topic Modeling; Text Mining; LDA;
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Times Cited By KSCI : 7  (Citation Analysis)
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1 J.S.Roe (2017). A study on exploring the future mobility service focused on car-sharing system. The Korean Society of Science & Art, 29, 75-87. DOI : 10.17548/ksaf.2017.06.29.75   DOI
2 J.W.Gu, & J.H.Lee, & M.S.Chung, & J.Y.Lee. (2017). Electric Vehicle Technology Trends Forecast Research Using the Paper and Patent Data. Journal of digital convergence 15(2), 165 - 172 DOI : 10.14400/JDC.2017.15.2.165   DOI
3 D.K.Nam, & G.H.Choi (2018). Technology Trend Analysis in the Automotive Semiconductor Industry using Topic Model and Patent Analysis. Journal of Korea technology innovation society, 21(3), 1155-1178
4 H.I.Jo, & J.W.Kim, & B.G.Lee. (2019). A Study on Research Trends of Blockchain Using LDA Topic Modeling : Focusing on United States, China, and South Korea. Journal of Digital Contents Society 20(7), 1453-1460 DOI : 10.9728/dcs.2019.20.7.1453   DOI
5 J.S.Park & N.R.Kim & E.J.Han. (2018). Analysis of Trends in Science and Technology using Keyword Network Analysis. Journal of the Korea Industrial Information Systems Research, 23(2), 66-73. DOI : 10.9723/jksiis.2018.23.2.063   DOI
6 Y.J.Jung, & H.J.Kim (2020). A Study on the School Library Research Trends Using Topic Modeling. Journal of Korean Library and Information Science Society, 51(3), 103-121 DOI : 10.16981/kliss.51.3.202009.103   DOI
7 S.K.Kim, & S. Y. Jang. (2016). Analysis of Research Trends in Domestic Industrial Engineering Using Topic Modeling. Korean Institute Of Industrial Engineers Journal of the Spring Joint Academic Conference, 3996-4018.
8 G.L.Kim (2021). A Study on the Analysis of R&D Trends and the Development of Logic Models for Autonomous Vehicles. Journal of Digital Convergence, 19(5), 31-39, DOI :10.14400/JDC.2021.19.5.031   DOI
9 J.H.Jeong, & T.H.Jung. (2019). A Study on the Different Characteristics of Autonomous Vehicle Technology Between Automobile and Non-Automobile Industry. The Journal of Intellectual Property 14(1), 231-270 DOI : 10.34122/jip.2019.03.14.1.231   DOI
10 S.B.Cho, & S.H.Ha. (2020). Analysis of Open Government Data Demand Using Structural Topic Modeling. Journal of Information Technology and Architecturte 17(2), 103-118. DOI : 10.22865/jita.2020.17.2.103   DOI
11 J.H.Park & H.J.Oh. (2017). Comparison of Topic Modeling Methods for Analyzing Research Trends of Archives Management in Korea : focused on LDA and HDP. Journal of Korean Library and Information Science Society, 48(4), 235-258. DOI : 10.16981/kliss.48.4.201712.235   DOI
12 K.C.Park & C. H. Lee.(2019). A Study on the Research Trends for Smart City using Topic Modeling. Journal of Internet Computing and Services, 20(3), 119-128. DOI : 10.7472/JKSII.2019.20.3.119   DOI
13 D.M.Blei. (2012) Probabilistic Topic Models. Communications of the acm 55(4) DOI : 10.1145/2133806.2133826   DOI
14 H.R.Lee. (2021). Topics and trends in early childhood education research in Korea: 2005-2019. Korean Journal of Early Childhood Education 41(5), 259-278. DOI : 10.18023/kjece.2021.41.5.011   DOI
15 W.S.Lee & S.Y.Sohn. (2015). Topic Model Analysis of Research Trend on Spatial Big Data . Journal of the Korean Institute Of Industrial Engineers, 41(1), 64-73. DOI : 10.7232/JKIIE.2015.41.1.064   DOI
16 C.S.Kim & S.J.Choi & K.Y.Kwahk. (2017). Investigation of Research Trends in Information Systems Domaing Using Topic Modeling and Time Series Regression Analysis. Journal of Digital Contents Society, 18(6), 1143-1150. DOI : 10.9728/dcs.2017.18.6.1143   DOI
17 H. H. Choi & D. Y Shim. (2020). Analysis of Kore ICT Convergence Trend using Text Mining Methodology. Innovation Studies, 15(3), 257-281. DOI : 10.46251/INNOS.2020.08.15.3.257   DOI
18 S.B.Cho & S.A.Shin & D.S.Kang. (2018). A Study on the Research Trends on Open Innovation using Topic Modeling. Informatization policy, 25(3), 52-74. DOI : 10.22693/NIAIP.2018.25.3.052   DOI
19 D.K.Nam & G.H.Choi. (2018). Technology Trend Analysis in the Automotive Semiconductor Industry using Topic Model and Patent Analysis. Journal of Korea technology innovation society, 21(3), 1155-1178.