| Title |
Analyzing Research Trends in Domestic Industrial Buildings in the Fields of Urban and Architectural Studies Using LDA Topic Modeling |
| Authors |
이다니엘(Lee, Daniel) ; 오경호(Oh, Kyungho) ; 최규진(Choi, Kyujin) ; 김서영(Kim, Seoyoung) ; 손동욱(Shon, Dong-wook) |
| DOI |
https://doi.org/10.5659/JAIK.2025.41.10.35 |
| Keywords |
Industrial Building; Urban and Architecture Research; Research Trends; LDA Topic Modeling |
| Abstract |
Industrial buildings has evolved beyond its traditional role as production facilities, becoming integral components of urban spaces and social
infrastructure. This study aims to systematically analyze research trends in industrial buildings within South Korea’s urban and architectural
context. Text mining techniques, including Latent Dirichlet Allocation (LDA) topic modeling and Term Frequency?Inverse Document
Frequency (TF-IDF) analysis, were applied to 285 papers published between 2000 and 2024. The analysis identified five major research topics
and revealed a shift from technical concerns toward broader themes such as urban regeneration, regional growth, and technological innovation.
Recent studies reinterpret industrial buildings as strategic platforms supporting sustainable urban development and innovation-based economies.
This study contributes by providing a longitudinal perspective on the evolution of industrial building research and suggesting directions for
multidisciplinary integration in future studies. |