수도권 2기 신도시 주거환경만족도 요인 분석 : 웹크롤링과 텍스트 마이닝을 활용하여Determinants of Residential Environment Satisfaction in the Second-Generation New Towns of the Seoul Metropolitan Area Using Web Crawling and Text Mining
- Other Titles
- Determinants of Residential Environment Satisfaction in the Second-Generation New Towns of the Seoul Metropolitan Area Using Web Crawling and Text Mining
- Authors
- 김선재; Lee, Su gie
- Issue Date
- 2020
- Publisher
- 대한국토·도시계획학회
- Keywords
- 신도시; 주거환경만족도; 웹크롤링; 텍스트 마이닝; New Town; Residential Environment Satisfaction; Web Crawling; Text Mining
- Citation
- 국토계획, v.55, no.7, pp.5 - 20
- Indexed
- KCI
- Journal Title
- 국토계획
- Volume
- 55
- Number
- 7
- Start Page
- 5
- End Page
- 20
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/146420
- ISSN
- 1226-7147
- Abstract
- 본 연구는 부동산 중개 사이트 직방의 리뷰를 바탕으로 수도권 2기 신도시의 주거환경만족도 요인을 분석한다. 구체적으로 웹크롤링 기법을 활용하여 직방의 추천리뷰 데이터를 구축한다. 그리고 주거환경만족도에 대한 선행연구를 바탕으로 직방의 추천리뷰 데이터를 주거환경만족도 요인으로 분류하고, 텍스트 마이닝 기법을 활용하여 2기 신도시의 주거환경을 만족 요인과 불편 요인으로 분석한다. 분석결과는 기존 신도시의 주거환경 불만족 요소를 파악하여 신도시 개선방안에 반영할 수 있을 뿐만 아니라 현재 진행하고 있는 3기 신도시 개발에 기초자료로 활용될 수 있을 것으로 판단된다.
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.
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