구조적 토픽 모델링 기반 스마트 시티 연구 동향 분석

다국어 초록 (Multilingual Abstract)

In this paper, the 12,400 datasets of smart city-related research papers published in SCOPUS were collected and analyzed based on Structural Topic Modeling (STM). As a result, 15 topics (“Machine Learning”, “Network Performance”, “Waste Disposal”, “Air Quality”, “Energy Management”, “Intelligent Context Recognition”, “Big Data Analytics”, “Cloud Computing”, “IoT & Security”, “Social Media”, “Sustainable Urban Planning”, “Intelligent Traffic System”, “Healthcare”, “GIS”, “Disaster Management”) were derived. In order for analysis of research trends of each topic, we used the topic proportion of topics to classify hot/cold topics. Research fields such as machine learning and IoT are represented by hot topic. On the other hands, social media and GIS related topics are included in a cold topic. The result of this study is to grasp the current research trends related to smart city and to suggest directions for future researches and policy makings.

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