ArticleScientific data2026
High-Resolution dataset on elderly care facility accessibility and inequality in 21 Chinese cities (2020).
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Rapid population aging in China has created an urgent demand for equitable access to elderly care services, yet a notable data gap remains in quantifying and comparing accessibility across major cities. To address this, we present a comprehensive dataset on the spatial accessibility and inequality of elderly care facilities in 21 major Chinese cities circa 2020. The dataset was generated using the Gaussian Two-Step Floating Catchment Area (Ga2SFCA) method, which integrates facility capacity, population demand, and distance decay in travel behavior. Core data include 21 high-resolution (100 m) raster files measuring accessibility and 21 corresponding raster files (1 km) measuring spatial inequality using the Gini coefficient. Technical validation compared 4,099 model-derived network distances with commercial map service APIs, showing strong accuracy (R
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