{"ID":2898402,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.03570","arxiv_id":"2507.03570","title":"From Street Form to Spatial Justice: Explaining Urban Exercise Inequality via a Triadic SHAP-Informed Framework","abstract":"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.","short_abstract":"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...","url_abs":"https://arxiv.org/abs/2507.03570","url_pdf":"https://arxiv.org/pdf/2507.03570v2","authors":"[\"Minwei Zhao\",\"Guosheng Yang\",\"Zhuoni Zhang\",\"Filip Biljecki\",\"Hanzhi Zu\",\"Cai Wu\"]","published":"2025-07-04T13:28:30Z","proceeding":"cs.CY","tasks":"[\"cs.CY\",\"cs.IT\",\"cs.LG\"]","methods":"[]","has_code":false}