【摘要】 研究人口老龄化时空特征并辨析其形成机理，对于应对人口老龄化程度不断加深的区域具有重要的理论和实践意义.选取第五、第六、第七次全国人口普查数据，采用人口重心模型、核密度分析、Moran’s I指数和地理加权回归(GWR)模型，从县域尺度研究2000-2020年中原城市群人口老龄化时空特征及影响因素.结果表明：(1)中原城市群老年人口规模和系数重心均向西北方向迁移，逐渐靠近中原城市群的几何中心，老年人口空间分布逐渐趋于均衡.(2)中原城市群人口老龄化程度不断加深，绝大多数县区已经进入老龄化社会.(3)中原城市群老年人口分布存在正的空间自相关性，空间集聚程度逐渐减弱.(4)经济发展水平、人口迁移、医疗卫生水平、文化教育及自然环境等因子影响了中原城市群人口老龄化时空特征，但各因子的影响程度不同.更多还原

【Abstract】 Studying the spatiotemporal characteristics of population aging and analyzing its formation mechanism is of great theoretical and practical significance for addressing regions with deepening population aging. Selecting data from the fifth, sixth, and seventh national population censuses, population centroid model, kernel density analysis, Moran’s I, and geographically weighted regression(GWR) model were used to explore the spatiotemporal characteristics and influencing factors of population aging in the Central Plains Urban Agglomeration from 2000 to 2020 at the county level. The results showed that: Firstly, the scale and coefficient center of elderly population in the Central Plains Urban Agglomeration were moving towards the northwest direction, gradually approaching the geometric center of the Central Plains Urban Agglomeration, and the spatial distribution of elderly population was gradually becoming more balanced. Secondly, the degree of population aging in the Central Plains Urban Agglomeration was continuously deepening, and the vast majority of counties and districts have entered an aging society. Thirdly, there was a positive spatial autocorrelation in the distribution of elderly population in the Central Plains Urban Agglomeration, and the degree of spatial agglomeration gradually weakens. Fourthly, factors such as economic development level, population migration, medical and health level, cultural education, and natural environment affected the spatiotemporal characteristics of population aging in the Central Plains Urban Agglomeration, but the degree of influence of each factor was different.更多还原