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A Follow-Up Spatial Analysis of Naturally Occurring Retirement Communities in the Greater Brisbane Region: Using the Latest Australian Bureau of Statistics (ABS) Census Data (2021)

Autor(en): ORCID
ORCID
ORCID

ORCID
Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Buildings, , n. 2, v. 13
Seite(n): 359
DOI: 10.3390/buildings13020359
Abstrakt:

We conducted a spatial and temporal analysis of naturally occurring retirement communities (NORCs) in the Greater Brisbane region using the latest ABS Census 2021 data. Four methods of spatial analysis were employed to identify the distribution and evolution of NORCs: (i) geovisualisation, (ii) spatial autocorrelation, (iii) cluster and outlier analysis, and (iv) hotspot and cold spot analysis. The findings from this data analysis are consistent with previous research findings that NORCs are developing at a fast pace and are concentrated along the Brisbane River and coastline areas, where an increasing number of older people are relocating for better ageing in place, i.e., ageing at home in the community as long as possible. In addition, the spatial distribution of NORCs is characterized by a preference for cluster, with most of the NORC population located in coastal areas. Furthermore, older people moving out and younger people moving in are the primary reasons why the city and the south area are becoming cold spots. The findings of this study will provide practical implications for various stakeholders to assist older Australians in ageing in place as long as they desire by developing age-friendly community environments.

Copyright: © 2023 by the authors; licensee MDPI, Basel, Switzerland.
Lizenz:

Dieses Werk wurde unter der Creative-Commons-Lizenz Namensnennung 4.0 International (CC-BY 4.0) veröffentlicht und darf unter den Lizenzbedinungen vervielfältigt, verbreitet, öffentlich zugänglich gemacht, sowie abgewandelt und bearbeitet werden. Dabei muss der Urheber bzw. Rechteinhaber genannt und die Lizenzbedingungen eingehalten werden.

  • Über diese
    Datenseite
  • Reference-ID
    10712306
  • Veröffentlicht am:
    21.03.2023
  • Geändert am:
    10.05.2023
 
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