Spatial Distribution Pattern and Evolution Characteristics of Elderly Population in Wuhan Based on Census Data-Reference-Cited by-同舟云学术

Spatial Distribution Pattern and Evolution Characteristics of Elderly Population in Wuhan Based on Census Data

Published:2023-07-06 Issue:7 Volume:12 Page:1350
ISSN:2073-445X
Container-title:Land
language:en
Short-container-title:Land

Author:

Li Fan¹,Zhou Jie¹,Wei Wei¹²,Yin Li¹

Affiliation:

1. Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China

2. China Institute of Development Strategy and Planning, Wuhan University, Wuhan 430072, China

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 a 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 data from the fifth, sixth, and seventh censuses, 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”; (3) the center of gravity of the elderly population remains relatively stable over time.

Publisher

MDPI AG

Subject

Nature and Landscape Conservation,Ecology,Global and Planetary Change

Link

https://www.mdpi.com/2073-445X/12/7/1350/pdf

Reference46 articles.

1. Lu, J., and Gu, Y. (2023). The Real Connotation, Core Issues and Practical Paths of Optimizing China’s Population Development Strategy. J. Soc. Sci., 1–12. Available online: http://kns.cnki.net/kcms/detail/21.1012.C.20230601.1328.004.html.

2. (2023, March 02). China’s Medium and Long Term Plan for Actively Responding to Population Aging, Available online: http://www.gov.cn/zhengce/2019-11/21/content_5454347.htm.

3. Zhao, Q. (2023). Actively addressing the issue of population aging. China Soc. Sci. J.

4. Multi subject protection: Digital enabling smart pension model;Liu;J. Shenyang Inst. Eng.,2022

5. Research on the Current Situation, Impact, and Countermeasures of Population Aging Development in Hubei Province: Statistical Analysis Based on the Seventh National Population Census Data;Chen;Hubei Soc. Sci.,2022