研究将社区户外公共空间与老年人的行为联系在一起的机制
Lei Wang1, Wenqi He2, Shan Wu3
1School of Architecture and Art, North China University of Technology, Beijing, 100144, China. wlei@ncut.edu.cn.
Scientific reports
|August 22, 2025
概括
这项研究使用计算机视觉来分析户外空间如何影响老年人的活动. 区域大小和绿色等关键特征显著影响老年人的公共空间行为.
科学领域:
- 老年学和城市规划
- 人与计算机的交互
- 环境心理学
背景情况:
- 全球人口老龄化需要优化社区户外公共空间.
- 传统的数据收集方法对老年人的行为是无效的.
- 计算机视觉为行为数据捕获提供了一个有前途的替代方案.
研究的目的:
- 提高计算机视力, 识别老年人的行为.
- 了解户外公共空间如何影响高级活动.
- 在这些环境中确定塑造老年人行为的关键因素.
主要方法:
- 根据老年人的需求对老年人的行为和户外空间进行了分类.
- 将空间元素分为四个指标:空间,绿色,功能设施和可访问性.
- 开发了一种计算机视觉算法来检测六种老年人的活动 (运动,慢跑,坐着,站着,走路,打棋/牌).
- 使用非线性机器学习模型 (随机森林,梯度提升,XGBoost) 来分析行为空间关系.
主要成果:
- 确定了16个影响老年人的户外行为特征.
- 突出了区域大小,形状,绿色环境和炼设备的可用性.
- 建立了社区户外公共空间的可量化指标.
结论:
- 计算机视觉有效地捕捉和分析户外公共空间中的老年人行为.
- 特定的空间特征显著影响了高级活动模式.
- 这些发现为基于证据的社区空间设计策略提供了信息.
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