Figure - available from: Journal of Population Ageing
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Map of the population per 500-m grid (population density) in Tokyo Metropolis’ 23 special wards and the Tama area and its neighbouring prefectures in 2015
Source publication
Urban populations are ageing, but the spatial and temporal distribution of the older adult population is highly heterogeneous, which has implications for resource allocation, service provision, and infrastructure needs. Based on the method proposed by Atkins & Tonts (2016), we used the interplay between changes in the number and proportion of the o...
Citations
... Some studies have examined the spatial patterns of ageing within a state or province and the affecting factors together (Denny, 2018;Guan et al., 2020). In the literature, there are also studies focusing on the relationship between spatial patterns of ageing and internal migration, rural-urban differences (Shiode et al., 2014) or spatial patterns and temporal changes of ageing in metropolitan areas (Leyso & Umezaki, 2023;Li et al., 2023;Han & Corcoran, 2014). Some studies have examined ageing patterns and redistribution of the olderly population at the neighborhood level within cities (Han & Corcoran, 2014;Leyso & Umezaki, 2023;Neumann, 2013;Swiaczny, 2010;Yang, 2021;Xie et al., 2016). ...
... In the literature, there are also studies focusing on the relationship between spatial patterns of ageing and internal migration, rural-urban differences (Shiode et al., 2014) or spatial patterns and temporal changes of ageing in metropolitan areas (Leyso & Umezaki, 2023;Li et al., 2023;Han & Corcoran, 2014). Some studies have examined ageing patterns and redistribution of the olderly population at the neighborhood level within cities (Han & Corcoran, 2014;Leyso & Umezaki, 2023;Neumann, 2013;Swiaczny, 2010;Yang, 2021;Xie et al., 2016). There are also some methodological differences in previous research. ...
The aim of this article is to reveal the spatial pattern of structural ageing at the local level in Türkiye and distinguish the ageing regions by linking this pattern with the demographic dynamics that establish it. The data for the study obtained from the Turkish Statistical Institute for 2020 to represent structural ageing, general fertility rate, the proportion of very olderly population, and in-migration and out-migration levels by districts were used for this purpose. The data were analyzed with the multivariate grouping technique. As a result of the analysis, Türkiye has been divided into four ageing regions with different characteristics. It was determined that structural ageing, fertility, longevity, and internal migration levels affect the character of each region in different ways and the regions were labeled in terms of ageing level. As a result, ageing regions can contribute to the development of useful regional strategies for policy and implementation programs.
