The rhythms of citizens’ leisure and recreation: a case study based on social media data

Introduction Leisure and recreation behavior has become one of the important lifestyles for urban residents, according to the continuous development of China’s social economy and the improvement of urban residents’ living standards and the spatio-temporal rhythm of these activities presents significant potential for exploration. Methods This study investigates the temporal and spatial patterns of citizens’ leisure and recreation activities in Beijing with the social media data from Sina Weibo. Through machine learning and spatial statistical methods, the research analyzes residents’ leisure and recreation behaviors, identifying four main topics: “Popular Nowadays,” “Special Events,” “Scenic Spots,” and “Daily Leisure.” Results The analysis reveals the leisure and recreation activity timing correlates closely with daily work and rest habits, which shows significant differences between weekdays and weekends. The “Popular Nowadays” accounts for 21.9% of leisure and recreation activities, while the “Daily Leisure” represents the largest proportion at 29.1% and shows a marked increase on weekends. Spatially, leisure and recreation activities display a centripetal distribution, with the high activity levels of the city center and main roads, and different leisure and recreation topics have distinct hotpots, including commercial areas, scenic spots, and cultural sites. Notably, the “Special Events” demonstrates a significant increase in activity distance on Saturdays, with an average distance considerably higher than other topics. Discussion The study concludes that the dynamic level of leisure and recreation activities is influenced by urban facility distribution and quality, which offer valuable insights for urban planning and “leisure and recreation “space improvement in Beijing.

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Publication Details

Journal
Frontiers in Ecology and Evolution
Published
2025-10-23
DOI
https://doi.org/10.3389/fevo.2025.1615395
Citations
1
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
2.18

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The rhythms of citizens’ leisure and recreation: a case study based on social media data

Y Zhang, Huimin Zhou, Guoqing Zhi, Xuejiao Wang et al.
1 citations
Frontiers in Ecology and Evolution
Human Mobility and Location-Based Analysis
2.18
article

The rhythms of citizens’ leisure and recreation: a case study based on social media data

Y Zhang, Huimin Zhou, Guoqing Zhi, Xuejiao Wang, Cui Ni
article en
1 citations

Abstract

Introduction Leisure and recreation behavior has become one of the important lifestyles for urban residents, according to the continuous development of China’s social economy and the improvement of urban residents’ living standards and the spatio-temporal rhythm of these activities presents significant potential for exploration. Methods This study investigates the temporal and spatial patterns of citizens’ leisure and recreation activities in Beijing with the social media data from Sina Weibo. Through machine learning and spatial statistical methods, the research analyzes residents’ leisure and recreation behaviors, identifying four main topics: “Popular Nowadays,” “Special Events,” “Scenic Spots,” and “Daily Leisure.” Results The analysis reveals the leisure and recreation activity timing correlates closely with daily work and rest habits, which shows significant differences between weekdays and weekends. The “Popular Nowadays” accounts for 21.9% of leisure and recreation activities, while the “Daily Leisure” represents the largest proportion at 29.1% and shows a marked increase on weekends. Spatially, leisure and recreation activities display a centripetal distribution, with the high activity levels of the city center and main roads, and different leisure and recreation topics have distinct hotpots, including commercial areas, scenic spots, and cultural sites. Notably, the “Special Events” demonstrates a significant increase in activity distance on Saturdays, with an average distance considerably higher than other topics. Discussion The study concludes that the dynamic level of leisure and recreation activities is influenced by urban facility distribution and quality, which offer valuable insights for urban planning and “leisure and recreation “space improvement in Beijing.

Frontiers in Ecology and EvolutionVol. 13
Beijing Union University (CN), Tianjin University of Technology (CN), China Electronics Technology Group Corporation (CN), Institute of Electronics (CN), China Academy of Information and Communications Technology (CN)
Chinese Academy of Sciences, Beijing Union University, China Electronics Technology Group Corporation
Openalex Percentile: Top 10%
Human Mobility and Location-Based Analysis
2.18
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