User Behavior and Emotion Analysis of Sports Venues Based on Social Media Reviews: The Case of Tianzhu, Shunyi, Beijing

Research on urban space usage based on social media data has attracted growing attention, particularly in urban parks. Sports venues, as important built-environment facilities, have also begun to be examined through online reviews of satisfaction and sentiment, but systematic, theory-driven, multidimensional coding of user behavior and emotion across different venue types remains underexplored. This study extends a park-based analytical framework to eight paid sports venues in Tianzhu, Shunyi, Beijing, using 5317 Dianping and Meituan reviews. A five-dimension analytical framework was constructed covering Physical Activity (PA), Children’s Physical Activity (CPA), Social Interaction (SI), Positive Emotion (PE), and Service Perception (SP), combining manual coding, Tencent word-embedding expansion, and a hybrid matching strategy (jieba segmentation for PA/CPA and substring matching for SI/PE/SP). The main contributions are: (1) a theory-driven multidimensional behavior-emotion coding framework adapted to sports venues; (2) systematic comparison of child-oriented and adult-oriented venue types; (3) operationalization of SP as a first-pass indicator of the institutional/service layer of space production, with its measurement limitations explicitly assessed; and (4) a hybrid matching strategy that accommodates the distinct semantic forms of behavioral and evaluative vocabulary. The study provides transferable analytical tools and evidence-based design and management implications for sports venues as built environments.

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Publication Details

Journal
Buildings
Published
2026-11-02
DOI
https://doi.org/10.3390/buildings16214393
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
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article

User Behavior and Emotion Analysis of Sports Venues Based on Social Media Reviews: The Case of Tianzhu, Shunyi, Beijing

Yinong Li, Yuehan Wu
Buildings
Sentiment Analysis and Opinion Mining
article

User Behavior and Emotion Analysis of Sports Venues Based on Social Media Reviews: The Case of Tianzhu, Shunyi, Beijing

Yinong Li, Yuehan Wu
article en

Abstract

Research on urban space usage based on social media data has attracted growing attention, particularly in urban parks. Sports venues, as important built-environment facilities, have also begun to be examined through online reviews of satisfaction and sentiment, but systematic, theory-driven, multidimensional coding of user behavior and emotion across different venue types remains underexplored. This study extends a park-based analytical framework to eight paid sports venues in Tianzhu, Shunyi, Beijing, using 5317 Dianping and Meituan reviews. A five-dimension analytical framework was constructed covering Physical Activity (PA), Children’s Physical Activity (CPA), Social Interaction (SI), Positive Emotion (PE), and Service Perception (SP), combining manual coding, Tencent word-embedding expansion, and a hybrid matching strategy (jieba segmentation for PA/CPA and substring matching for SI/PE/SP). The main contributions are: (1) a theory-driven multidimensional behavior-emotion coding framework adapted to sports venues; (2) systematic comparison of child-oriented and adult-oriented venue types; (3) operationalization of SP as a first-pass indicator of the institutional/service layer of space production, with its measurement limitations explicitly assessed; and (4) a hybrid matching strategy that accommodates the distinct semantic forms of behavioral and evaluative vocabulary. The study provides transferable analytical tools and evidence-based design and management implications for sports venues as built environments.

BuildingsVol. 16(21)
Beijing Forestry University (CN)
Openalex Percentile: Top 17%
Sentiment Analysis and Opinion Mining
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