Unknown

Dataset Information

Spatial-temporal evolution and associated factors of older adult care institutions in Shanghai.


ABSTRACT:

Background

Shanghai is one of the first Chinese cities to tackle the challenges presented by an aging population. In response, the city has been actively seeking solutions for older adult care within a metropolitan context. This study is based on data from 1,272 older adult care institutions in Shanghai. It uses spatial analysis methods to visually display the spatial evolution of older adult care institutions in the city and analyzes the influencing factors of their spatial distribution patterns using a geographic detector approach.

Methods

The research methodology used in the study includes Kernel Density Estimation for visualizing the spatial distribution of older adult care institutions in Shanghai, the Rand Index for measuring the match between older adult care institut

SUBMITTER: Yin X 

PROVIDER: S-EPMC12267019 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature