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Classifying and Characterizing the Types of Gentrified Commercial Districts Based on Sense of Place Using Big Data: Focusing on 14 Districts in Seoul
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빅데이터를 활용한 젠트리피케이션 상권의 장소성 분류와 특성 분석 -서울시 14개 주요상권을 중심으로-

논문 기본 정보

Type
Academic journal
Author
Young-Jae Kim (서울대학교) In Kwon Park (서울대학교)
Journal
Korean Regional Science Association Journal of the Korean Regional Science Association Vol.39 No.1 KCI Accredited Journals
Published
2023.3
Pages
3 - 20 (18page)

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Classifying and Characterizing the Types of Gentrified Commercial Districts Based on Sense of Place Using Big Data: Focusing on 14 Districts in Seoul
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This study aims to categorize the 14 major gentrified commercial areas of Seoul and analyze their characteristics based on their sense of place. To achieve this, we conducted hierarchical cluster analysis using text data collected from Naver Blog. We divided the districts into two dimensions: “experience” and “feature” and analyzed their characteristics using LDA (Latent Dirichlet Allocation) of the text data and statistical data collected from Seoul Open Data Square. As a result, we classified the commercial districts of Seoul into 5 categories: ‘theater district,’ ‘traditional cultural district,’ ‘female-beauty district,’ ‘exclusive restaurant and medical district,’ and ‘trend-leading district.’ The findings of this study are expected to provide valuable insights for policy-makers to develop more efficient and suitable commercial policies.

Contents

국문요약
Abstract
1. 서론
2. 이론 및 선행연구
3. 분석자료 및 방법
4. 서울시 주요 젠트리피케이션 상권의 분류와 특성
5. 결론
참고문헌

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