Abstract
The purpose of this study is to examine the trends of CPTED research using Text-Mining. For this purpose, 1559 keywords were collected from 718 papers that registered ‘CPTED’ as the keyword or abstract through the Korean Journal Citation Information. Collected keywords were used for TF-IDF, Network analysis and Topic modeling through Textom program. The results of the analysis are as follows: First, Centrality analysis showed that CPTED researchs had been conducted focusing on keywords like ‘CPTED’, ‘crime prevention’, ‘fear of crime’, ‘crime’, CCTV’ and so on. Second, five topics were extracted: ‘CPTED women’s safety’, ‘CPTED apartment complex’, ‘CPTED urban regeneration’, ‘CPTED by facility’, and ‘CPTED design guidelines’. Since the foundation of Korea CPTED Association in 2010 and the enactment of CPTED in 2014, the diversification of CPTED research subjects has been made. Quantitative analysis using Text-Mining provides useful results for development of CPTED research.
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