텍스트마이닝 기법을 활용한 국내 철도물류 연구 주제 및 동향 분석

This paper collected 186 railway logistics research papers in Korea, conducting keyword analysis, topic modeling, trend reviews, and drawing implications. The TF-IDF analysis revealed the significance of international railway logistics-related terms such as connection, as well as the importance of container among transportation items and time as a factor in mode selection. The LDA analysis resulted in categorizing the research into a total of 7 themes and 11 topics, with international railway logistics the dominant research theme. Compared to overseas research trends, the relatively active exploration of studies related to new technologies was positive. However, weaknesses were identified, including a decline in the analysis of the current situation, a lack of research on external effects, insufficient research continuity, and the impact of political and social contexts on research topics, which were analyzed as vulnerabilities.