수도권 2기 신도시 주거환경만족도 요인 분석: 웹크롤링과 텍스트 마이닝을 활용하여

Abstract

Despite the balanced regional development policy of the past decades, the concentration of population in the Seoul metropolitan area has intensified, resulting in various urban problems such as housing shortages and real estate speculation. In addition, there has been growing demand for a pleasant residential environment throughout society. Recently, the Korean government initiated the third-generation new town development even though the second-generation new town development has not yet been completed. Many studies have sought to evaluate residential environment satisfaction for new town dwellers; however, conventional survey methods have critical limitations in terms of cost and sample size. In addition, few studies have been conducted to assess satisfaction with the residential environment of second-generation new towns. Therefore, this study analyzed the satisfaction with the residential environment and its determinants using web crawling and text mining of “ZIGBANG” online review data for second-generation new towns in the Seoul metropolitan area. The analysis results indicate that second-generation new town dwellers are more likely to be satisfied with natural green area, community park, and educational environment. In contrast, they are dissatisfied with transportation service and commercial facilities. This study thus extracted meaningful results through web crawling and text mining techniques applied to online review data regarding satisfaction with the residential environment. In addition, the results hold policy implications regarding improvements of the residential environment of second-generation new towns and provides valuable insights for the development of third-generation new towns.