Work

From Street Form to Spatial Justice: Explaining Urban Exercise Inequality via a Triadic SHAP-Informed Framework

Year: 2025

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2507.03570

Authors: Zhao, Minwei, Yang, Guosheng, Zhang, Zhuoni, Biljecki, Filip, Zu, Hanzhi, Wu, Cai

Institutions: The Hong Kong University of Science and Technology (Guangzhou), National University of Singapore

Language: English

Topic: Urban Transport and Accessibility

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Reduced inequalities, Good health and well-being

Open Access status: green

OpenAlex ID: W4415344607

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