Exploring Cities through a Population Ageing Matrix: a spatial and temporal analysis of older adult population trends in Perth, Australia

Atkins, Mariana; Tonts, Matthew

doi:10.1080/00049182.2015.1110087

Cited by 19 publications

(6 citation statements)

References 53 publications

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“…Since World War II Australia, like other industrialised nations, has been experiencing rapid suburban expansion typified by sprawling, low‐density, car‐dependent urban form (Dodson, ; Newman & Kenworthy, ). An observed trend in many sprawling cities is that areas experiencing the highest ageing growth rates are in peripheral parts of metropolitan areas (Atkins & Tonts, ; Han & Corcoran, ; Hugo, ). These areas pose unique challenges for an ageing population; evidence is mounting that car‐orientated urban forms with widely dispersed housing, and scattered commercial and cultural resources, present barriers to “active ageing” and “ageing in place” (Beard & Petitot, ; Fitzgerald & Caro, ; World Health Organization, ).…”

Section: Introductionmentioning

confidence: 99%

“On the move, or staying put?” An analysis of intrametropolitan residential mobility and ageing in place

Atkins

2017

Population Space and Place

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Population ageing and urbanisation are worldwide phenomena that are transforming societies and having profound economic and social effects on cities and countries throughout the world.Ageing is not taking place evenly, and in many developed cities, ageing growth rates are greater in peripheral areas than in the centre. This paper determines how intrametropolitan residential mobility and ageing-in-place patterns vary across age categories and geographical scales, explored through a case study of metropolitan Perth, a rapidly growing, low-density, sprawling city. Using a life course perspective, this study examines Australian residential mobility census data between 2006 and 2011 and disaggregates this into 4 age categories: preretirement (ages 55-64), seniors in active retirement (ages 65-74), mature-aged seniors (ages 75-84), and older aged seniors (over 85 years). This study adds to the internal migration literature by offering new insights into the age-specific mobility patterns of older populations within metropolitan areas. The results reveal that the overriding dynamic is one of stability across the metropolitan area with the dominant trend being "ageing in place." It was found that the likelihood of residential mobility varies by age, and a 2-peak mobility pattern was identified, with the preretirement and the older aged seniors exhibiting the most mobility. Additionally, although the majority of moves were short distance, younger ages moved farther than did the older aged categories.The study makes empirical and conceptual contributions to our understanding of ageing residential mobility trends within metropolitan areas.

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Section: Introductionmentioning

confidence: 99%

“On the move, or staying put?” An analysis of intrametropolitan residential mobility and ageing in place

Atkins

2017

Population Space and Place

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“…Such conditions may be exacerbated by other factors such as climate change [6]. In addition, Australia already has a pattern of migration away from major urban centres by 'younger' retirees, as people seek lifestyle changes and/or lower cost of living situations [7]. These sea-changers can have their own impact on smaller coastal settlements for example, as they buy property, invest and consume goods and services.…”

Section: Demography and Destinymentioning

confidence: 99%

Geographies of Ageing: A Visuospatial Approach to Demographic Change in Australia

Robertson¹,

Nicholas²

2021

Demographic Analysis - Selected Concepts, Tools, and Applications

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The global phenomenon of population ageing is both complex and multi-layered. We know at a global level that different countries are progressing towards becoming aged societies at different rates. We know that within national borders some regions, mainly rural, are affected by ageing more than others. We also know the health and social care systems struggle to respond effectively to ageing because it is complex and, often, runs counter to the structural design of healthcare systems with their emphasis on clinical and organ-specific problems. Ageing challenges these conventional approaches and is compounded by the prevalence of wide-spread ageism at the societal and systemic levels. Therefore, if we are to adapt to population ageing and care for older people effectively, we need to better understand them and their situational contexts. This includes where they live and how their social, biological and clinical trajectories are progressing. Synthesising this kind of multi-layered information also presents challenges because many health and social care systems operate in silos, with limited information exchanges and limited service coordination. One strategy is the concept of a visuospatial data-informed approach. Here we present a conceptual basis for this approach drawn from our work in the Australian health and ageing contexts.

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“…Some studies focus on the healthy and active ageing of older residents and verify the relationship between the way older people maintain the continuity of their activities and independence, within the limits of their personal resources, and the changing urban environment [3,[35][36][37]. Finally, some studies examine the spatiotemporal trend changes in older urban population data [25,[38][39][40][41][42][43][44].…”

Section: Introductionmentioning

confidence: 99%

Urban Ageing in Europe—Spatiotemporal Analysis of Determinants

Lewandowska-Gwarda

Antczak

2020

IJGI

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The aim of this study was to identify determinants of the population ageing process in 270 European cities. We analyzed the proportion of older people: men and women separately (aged 65 or above) in city populations in the years 1990–2018. To understand territorially-varied relationships and to increase the explained variability of phenomena, an explanatory spatial data analysis (ESDA) and geographically weighted regression (GWR) were applied. We used ArcGIS and GeoDa software in this study. In our research, we also took into account the spatial interactions as well as the structure of cities by size and level of economic development. Results of the analysis helped to explain why some urban areas are ageing faster than others. An initial data analysis indicated that the proportion of the elderly in the population was spatially diversified and dependent on gender, as well as the size and economic development of a unit. In general, elderly individuals were more willing to live in larger and highly developed cities; however, women tended to live in large areas and men in medium-sized to large urban areas. Then, we conducted the urban ageing modelling for men and women separately. The application of GWR models enabled not only the specification of the city population ageing determinants, but also the analysis of the variability in the strength and direction of dependencies occurring between the examined variables in individual cities. Significant differences were noted in the analysis results for specific cities, which were often grouped due to similar parameter values, forming clusters that divided Europe into the eastern and western parts. Moreover, substantial differences in results were obtained for women and men.

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Exploring Cities through a Population Ageing Matrix: a spatial and temporal analysis of older adult population trends in Perth, Australia

Cited by 19 publications

References 53 publications

“On the move, or staying put?” An analysis of intrametropolitan residential mobility and ageing in place

“On the move, or staying put?” An analysis of intrametropolitan residential mobility and ageing in place

Geographies of Ageing: A Visuospatial Approach to Demographic Change in Australia

Urban Ageing in Europe—Spatiotemporal Analysis of Determinants

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