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http://dx.doi.org/10.7472/jksii.2019.20.3.119

A Study on the Research Trends for Smart City using Topic Modeling  

Park, Keon Chul (Dept. of Policy Research, Seoul Digital Foundation)
Lee, Chi Hyung (Department of Advertising and Public Relations, Pyeongtaek University)
Publication Information
Journal of Internet Computing and Services / v.20, no.3, 2019 , pp. 119-128 More about this Journal
Abstract
This study aims to analyze the research trends on Smart City and to present implications to policy maker, industry professional, and researcher. Cities around globe have undergone the rapid progress in urbanization and the consequent dramatic increase in urban dwellings over the past few decades, and faced many urban problems in such areas as transportation, environment and housing. Cities around the globe are in a hurry to introduce Smart City to pursue a common goal of solving these urban problems and improving the quality of their lives. However, various conceptual approaches to smart city are causing uncertainty in setting policy goals and establishing direction for implementation. The study collected 11,527 papers titled "Smart City(cities)" from the Scopus DB and Springer DB, and then analyze research status, topic, trends based on abstracts and publication date(year) information using the LDA based Topic Modeling approaches. Research topics are classified into three categories(Services, Technologies, and User Perspective) and eight regarding topics. Out of eight topics, citizen-driven innovation is the most frequently referred. Additional topic network analysis reveals that data and privacy/security are the most prevailing topics affecting others. This study is expected to helps understand the trends of Smart City researches and predict the future researches.
Keywords
Smart City; Research Trend Analysis; Text Mining; Topic Modeling; Latent Dirichlet Allocation(LDA);
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Times Cited By KSCI : 4  (Citation Analysis)
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