Zhang Hao, Yu Jiahua, Dong Xinyang, Shen Jing
Department of Physical Education, China University of Geosciences (Beijing), Beijing, 100083, China.
Department of Physical Education, China University of Geosciences (Beijing), Beijing, 100083, China.
Environ Res. 2025 Jan 1;264(Pt 1):120264. doi: 10.1016/j.envres.2024.120264. Epub 2024 Oct 29.
Social media data offers invaluable insights into the crucial role that green spaces play in promoting physical activity and sentiment. This study systematically reviewed the scientific evidence exploring the influence of green spaces on physical activity and sentimental states based on social media data. Overall, 8842 studies were identified through searching PubMed, Web of Science, Scopus, and CNKI databases up to December 30, 2023. Forty studies met the inclusion criteria for this systematic review. The analysis of the included literature revealed that the physical attributes of green spaces-such as accessibility, area of green spaces, natural landscape features and quality, types of greenery, visibility of green spaces, and the Normalized Difference Vegetation Index are correlated with the expression of positive sentiments among residents or significantly enhance residents' physical activity. The research unveiled the profound impact of multidimensional factors on the green space experience, including gender, age, geographic location, individual needs and preferences, seasonal variations, and socioeconomic backgrounds. Additionally, thermal adaptation and the frequency of park visits serve as mediating factors in the relationship between green spaces and sentiment or physical activity. Although this study provides important insights into the associations of green spaces on physical activity and sentiment, it faces limitations such as reliance on a single data source and the lack of geographic universality. In conclusion, green spaces significantly enhance physical activity and improve sentimental states across populations. Analysis of social media data facilitates a nuanced understanding of public behaviors and attitudes toward green spaces. Using advanced data analysis techniques is essential for a deeper comprehension of the dynamic interplay and underlying mechanisms that shape the impact of green spaces on physical activity and sentiment. Future research should prioritize the integration data from various platforms and the implementation of longitudinal studies.
社交媒体数据为了解绿色空间在促进身体活动和情绪方面所起的关键作用提供了宝贵的见解。本研究基于社交媒体数据，系统回顾了探索绿色空间对身体活动和情绪状态影响的科学证据。截至2023年12月30日，通过检索PubMed、科学网、Scopus和中国知网数据库，共识别出8842项研究。40项研究符合本系统评价的纳入标准。对纳入文献的分析表明，绿色空间的物理属性，如可达性、绿色空间面积、自然景观特征和质量、植被类型、绿色空间的可见性以及归一化植被指数，与居民积极情绪的表达相关，或显著增强居民的身体活动。该研究揭示了多维因素对绿色空间体验的深远影响，包括性别、年龄、地理位置、个人需求和偏好、季节变化以及社会经济背景。此外，热适应性和公园参观频率在绿色空间与情绪或身体活动之间的关系中起中介作用。尽管本研究为绿色空间与身体活动和情绪之间的关联提供了重要见解，但它也面临一些局限性，如依赖单一数据源和缺乏地理普遍性。总之，绿色空间显著增强了不同人群的身体活动，改善了情绪状态。对社交媒体数据的分析有助于更细致地了解公众对绿色空间的行为和态度。使用先进的数据分析技术对于更深入理解塑造绿色空间对身体活动和情绪影响的动态相互作用和潜在机制至关重要。未来的研究应优先整合来自各种平台的数据，并开展纵向研究。
