Chen Xingrui, Sun Yu, Ibrahim Filzani Illia Binti, Kamarazaly Myzatul Aishah Binti, Abidin Siti Norzaini Binti Zainal, Tang Suqiu
School of Architecture, Building and Design, Taylor's University, Subang Jaya, Malaysia.
School of Art and Design, Jiangxi Institute of Fashion Technology, Xiangtang Development Zone, Nanchang City, Jiangxi Province, China.
PLoS One. 2025 Apr 29;20(4):e0320951. doi: 10.1371/journal.pone.0320951. eCollection 2025.
In fast-paced urban environments, Citywalk has emerged as a key leisure activity for urban residents to alleviate stress and enhance emotional well-being. From the perspective of virtual-physical interaction, this study integrates social media data with geospatial information, utilizing machine learning methods and spatial statistical analysis to explore the multidimensional driving mechanisms and complex relationships affecting the emotional experiences of Citywalk participants. The findings indicate that the interaction index, as a core indicator of virtual social behavior, plays a key role in influencing emotional scores (SHAP value = 4.9104), exhibiting progressive effects without evident threshold characteristics. POI density demonstrates significant nonlinear threshold effects, with marginal benefits substantially increasing when density reaches 44.06. Additionally, spatial autocorrelation analysis of emotional scores reveals spatial clustering patterns, underscoring the critical role of interactions between virtual social behavior and physical spatial elements in emotional generation. In comparison, functional diversity and transit accessibility exhibit weaker but complementary effects on emotional scores. This research quantifies the roles of digital social behavior and the built environment in shaping emotional experiences from a virtual-physical interaction perspective, uncovering how virtual social behavior integrates into social space production through individual perception and social interaction. It extends theoretical frameworks in social space production and emotional geography. The findings provide data-driven insights for optimizing urban walking space design, proposing interaction index-oriented strategies to promote synergy between virtual and physical spaces, thus facilitating the creation of high-quality, emotionally friendly urban environments.
在快节奏的城市环境中，城市漫步已成为城市居民缓解压力、提升情绪幸福感的一项关键休闲活动。从虚拟-实体交互的角度来看，本研究将社交媒体数据与地理空间信息相结合，运用机器学习方法和空间统计分析，以探索影响城市漫步参与者情绪体验的多维驱动机制和复杂关系。研究结果表明，交互指数作为虚拟社交行为的核心指标，在影响情绪得分方面发挥着关键作用（SHAP值 = 4.9104），呈现出渐进效应且无明显阈值特征。兴趣点（POI）密度表现出显著的非线性阈值效应，当密度达到44.06时边际效益大幅增加。此外，情绪得分的空间自相关分析揭示了空间聚类模式，突显了虚拟社交行为与实体空间要素之间的相互作用在情绪产生中的关键作用。相比之下，功能多样性和交通可达性对情绪得分的影响较弱但具有互补性。本研究从虚拟-实体交互的角度量化了数字社交行为和建成环境在塑造情绪体验中的作用，揭示了虚拟社交行为如何通过个体感知和社会互动融入社会空间生产。它扩展了社会空间生产和情绪地理学的理论框架。研究结果为优化城市步行空间设计提供了数据驱动的见解，提出了以交互指数为导向的策略，以促进虚拟与实体空间的协同作用，从而推动高品质、情感友好型城市环境的创建。
