This study examines equitable access to three types of urban greenspaces using big data from street view images, social media, and satellite images. Leveraging explainable GeoAI technology, it explores the nonlinear relationship between greenspace equity and urban attributes. The objectives
are to assess equity conditions, analyze correlations, and develop a scoring system for informed decision-making.