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논문검색

빅데이터 텍스트마이닝을 활용한 도시재생 사업의 효과 분석 - 목원동 선도지역을 사례로 -

원문정보

An Analysis of the Effectiveness of Urban Regeneration Project Using Big Data Text Mining - A Case Study of Mokwon-dong Leading Area -

신보슬, 염대봉

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초록

영어

This study aims to analyze the effectiveness of urban regeneration projects on local communities in small and medium-sized cities through both quantitative and qualitative methods. Specifically, the qualitative analysis utilizes big data from social networking services (SNS) to evaluate the changes and effects following the implementation of the urban regeneration project. The study focuses on Mokwon-dong, Mokpo, Jeollanam-do, as a case study, conducting a comprehensive review of social, economic, and physical changes through qualitative analysis based on SNS data as well as traditional quantitative indicators. The results reveal that after the completion of the urban regeneration project, there was a significant increase in the volume of mentions and positive sentiment towards Mokwon-dong. Additionally, the analysis of related words showed that the keywords related to the specific projects and objectives of the urban regeneration initiative appeared prominently. The quantitative analysis identified improvements in economic indicators, such as a deceleration in the population decline, and increases in land price change rates and commercial rent. These findings suggest that the urban regeneration project in Mokwon-dong had positive effects. This study evaluates the effectiveness of urban regeneration through a multifaceted approach, combining qualitative analysis using SNS big data with quantitative data analysis. The results offer valuable insights for the formulation of future urban regeneration policies.

목차

Abstract
1. 서론
1.1 연구 배경 및 목적
1.2 연구의 내용 및 방법
2. 선행연구 및 문헌고찰
3. 연구의 기초
3.1 연구대상지 현황
3.2 데이터의 수집 및 분석방법
4. 데이터 분석
4.1 정량적 데이터 분석
4.2 정성적 데이터 분석
5. 결론
REFERENCES

저자정보

  • 신보슬 Shin, Bo-Sle. 조선대학교 건축공학과 박사수료
  • 염대봉 Yeom, Dae-Bong. 조선대학교 건축학과 교수, 도시설계(공간정비)학 박사

참고문헌

자료제공 : 네이버학술정보

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