Happy neighborhoods: Investigating neighborhood conditions and sentiments of a shrinking city with Twitter data
2020 · Growth and Change
저자
박윤미 (Yunmi Park), Minju Kim, Kijin Seong
연구주제
Urbanization and City Planning
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
가장 가까운 분류(건설/교통 > 국토정책/계획 > 도시계획)가 에너지·환경·원자력 확장 범위 밖이다.
AI 연구 키워드·방법
neighborhood happiness 축소도시 소셜미디어 데이터
키워드 (OpenAlex)
shrinking cities sentiment analysis Twitter urban decline social media monitoring urban regeneration Detroit amenities
초록
Abstract Planning interventions have been applied to improve the well‐being, hereafter happiness, of residents. The happiness in shrinking cities, in particular, becomes more critical since urban decline tends to induce an unequal and uneven distribution of care under a limited budget and human resources. Using geo‐tagged Twitter, census, and geospatial data on Detroit, Michigan, which is one of the well‐known shrinking cities in the U.S., the spatial distribution of sentiments, topics of tweets appeared, and the association between neighborhood conditions and the level of happiness were examined. The outcomes indicate that people in Detroit are posting happy tweets more than negative tweets. The downtown area holds both positive and negative hotspots, which are clustered around sports arenas and bars, respectively. Neighborhoods with young and well‐educated residents, situated close to …
이 논문을 지원한 국가R&D 과제 (NTIS 성과)
NTIS 성과DB(2020–24)에서 DOI 매칭 없음
인접 그래프
노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동
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교수 1
연구주제 1
Urbanization and City Planning