ArticleScientific data2026
A 1-km resolution dataset of affordability-constrained accessibility to elderly care facilities in China.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
- A 1-km resolution dataset of affordability-constrained accessibility to elderly care facilities in China.Scientific data · 2026Article
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4 authors.
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Abstract
China's rapid population aging presents profound challenges for equitable institutional elderly care. Traditional spatial accessibility metrics typically neglect affordability constraints, leading to systematic overestimation of effective access for low-income older adults. We developed a national, 1-km resolution accessibility dataset for mainland China using an affordability-constrained Gaussian two-step floating catchment area (AC-Ga2SFCA) method that couples travel-time impedance with price-income affordability weighting. Household payment capacity is represented by a high-resolution per capita disposable income surface downscaled from county statistics, and facility contributions are down-weighted according to fees. Across multiple travel-time catchments, the dataset provides three complementary raster layers-baseline accessibility (spatial reachability), affordability-constrained accessibility (effective access), and the accessibility gap (affordability-driven exclusion)-for both total beds and nursing-care beds, alongside administrative summaries and inequality metrics. Technical validation shows strong performance of the income downscaling model (R
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