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社交媒体互动和建筑环境对城市步行体验的影响:上海城市步行的机器学习分析
Xingrui Chen1, Yu Sun1,2, Filzani Illia Binti Ibrahim1
1School of Architecture, Building and Design, Taylor's University, Subang Jaya, Malaysia.
PloS one
|April 29, 2025
概括
城市步行参与通过整合虚拟社会行为和城市建筑环境来增强情感福祉. 较高的互动指数和兴趣点密度显著提高了城市居民的情绪评分.
科学领域:
- 城市研究 城市研究
- 情感地理 情感地理
- 人与计算机的交互
背景情况:
- 城市步行是城市环境中减轻压力和情绪健康的重要休活动.
- 了解虚拟社会行为和物理环境之间的相互作用对于城市福祉至关重要.
研究的目的:
- 在Citywalk期间探索情感体验的多维驱动因素.
- 分析虚拟物理互动和情感结果之间的复杂关系.
- 为设计情感支持的城市步行空间提供数据驱动的见解.
主要方法:
- 社交媒体数据与地理空间信息的整合.
- 应用机器学习方法,包括SHAP价值分析.
- 利用空间统计分析,包括空间自相对应.
主要成果:
- 互动指数显著影响情绪分数,显示渐进的效应.
- 兴趣点 (POI) 密度表现出非线性值效应,收益在44.06以上增加.
- 情绪分数的空间聚类凸显了虚拟-物理交互的重要性.
结论:
- 虚拟社会行为和建筑环境极大地影响了城市的情感体验.
- 优化城市步行空间需要战略,促进虚拟和物理元素之间的协同作用.
- 这项研究扩展了社会空间生产和情感地理学的理论.
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