The Analysis on Research Trend of Territorial and Urban Planning for Mack Joong Choi Through Text Mining: Focused on His Academic Papers

Abstract

This study is aimed at identifying the research trend of Mack Joong Choi on territorial and urban planning through text mining on his academic papers published in both domestic and international journals. The study employs text mining methodologies, specifically using a word frequency analysis and a bi-gram language modeling for the titles and topic modeling for abstract contents. Analysis results by the word frequency method demonstrate that his major research topic had been focused on housing-related topics based on empirical evidence. Analysis results by the bi-gram language modeling does not only indicate that his major research topic is housing-related study based on empirical evidence, but also suggest that he had focused on such other research topics as urban development, residential location, social mix, and rail station area development. Analysis results on the topic modeling would identify that his research trend would be categorized into housing market and urban development and planning, which they can be named as private and public sector of the territorial and urban planning field, respectively, if it would be divided into two topics. The topic modeling analysis also informs us that his research could be more specifically classified into 13 topics. Lastly, analysis results on yearly research trend demonstrate that he dealt with emerging issues at that time while researching with more diverse issues such as leisure at recent years.