Li, F.; Zhou, J.; Wei, W.; Yin, L. Spatial Distribution Pattern and Evolution Characteristics of Elderly Population in Wuhan Based on Census Data. Land2023, 12, 1350.
Li, F.; Zhou, J.; Wei, W.; Yin, L. Spatial Distribution Pattern and Evolution Characteristics of Elderly Population in Wuhan Based on Census Data. Land 2023, 12, 1350.
Li, F.; Zhou, J.; Wei, W.; Yin, L. Spatial Distribution Pattern and Evolution Characteristics of Elderly Population in Wuhan Based on Census Data. Land2023, 12, 1350.
Li, F.; Zhou, J.; Wei, W.; Yin, L. Spatial Distribution Pattern and Evolution Characteristics of Elderly Population in Wuhan Based on Census Data. Land 2023, 12, 1350.
Abstract
Understanding the spatial distribution pattern and evolution characteristics of the elderly population in urban areas is of great significance for the development of urban planning and the implementation of public management policies in the context of rapid aging. Accurately identifying the spatial distribution and evolution characteristics of the elderly population in the city requires a comprehensive analysis of multiple indicators and large-scale data. Taking Wuhan city as an example, this article measures the spatial distribution characteristics and evolution trend of the elderly population from 2000 to 2020 at the street/township level, based on the fifth, sixth, and seventh census data, using methods such as kernel density hotspot detection, spatial clustering analysis, and standard deviation ellipse analysis. The results show that: ① there are significant differences in the aging spatial pattern between the central area and the suburban areas of Wuhan; ② overall, Wuhan's aging rate shows a typical "core-periphery" growth mode in space, while the density of the elderly population has significant spatial aggregation characteristics and shows an evolution trend of "centralized concentration, peripheral outliers, axial development, and near-field growth"; ③the center of gravity of the elderly population remains relatively stable over time.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
