用三元空间理论解析城市健身不公，找出高需求低支持路段
From Street Form to Spatial Justice: Explaining Urban Exercise Inequality via a Triadic SHAP-Informed Framework
- 结合列斐伏尔三元空间理论与SHAP分析，诊断街道健身资源不均
- 发现七种不同类型的健身剥夺模式，识别出高需求低供给路段
- 为城市规划者提供可解释的公平性干预工具，适合关注城市健康的研究者
城市街道是日常健康基础设施的关键组成部分，但其支持身体活动的能力分布不均。本研究构建了一个理论驱动且可解释的分析框架，通过整合列斐伏尔的空间三元理论、多源城市数据与基于SHAP的分析方法，诊断街域层面的健身剥夺问题。以深圳为例，研究发现虽然构想空间属性对健身强度具有最强总体影响，但局部剥夺机制在不同情境下存在显著差异。我们识别出七种剥夺类型，并定位高需求但低支持的街段作为优先干预区域。研究既提供了理论基础扎实的分析框架，也提供了促进日常身体活动空间正义的实用诊断工具。
原文摘要 · Abstract (English)
Urban streets are essential everyday health infrastructure, yet their capacity to support physical activity is unevenly distributed. This study develops a theory-informed and explainable framework to diagnose street-level exercise deprivation by integrating Lefebvre's spatial triad with multi-source urban data and SHAP-based analysis. Using Shenzhen as a case study, we show that while conceived spatial attributes have the strongest overall influence on exercise intensity, local deprivation mechanisms vary substantially across contexts. We identify a seven-mode typology of deprivation and locate high-demand but low-support street segments as priority areas for intervention. The study offers both a theory-grounded analytical framework and a practical diagnostic tool for promoting spatial justice in everyday physical activity.
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