Abstract
Recent research on urban well-being has underscored the importance of everyday nature, emphasizing routine exposure to greenery through daily activities rather than occasional visits to major parks. However, robust methods for quantifying timebased green exposure in diverse urban environments remain underdeveloped. This technical report advances the Cumulative Green Spaces Exposure Time (CGSET) framework by integrating human mobility data with NDVI-derived vegetation metrics. Building on previous approaches that relied on Google Street View imagery to assess street- and park-level greenery, the incorporation of NDVI enabled the evaluation of intra-block vegetation not visible from the street level. The enhanced CGSET framework was applied to three central wards of Osaka City, utilizing 10-meter resolution NDVI data and approximately 1.5 million mobility points. CGSET is calculated using a provisional NDVI threshold of ≥ 0.3 and is analyzed across spatial categories including streets, parks, and non-park intra-block areas. The results reveal clear differences between the sections and demonstrate that intra-block greenery also contributes. Furthermore, areas with moderate vegetation (0.2 < NDVI < 0.3) were identified as priority targets for effective urban green planning and management.
