Redefining Age-Friendly Neighbourhoods : Translating the Promises of Blue Zones for Contemporary Urban Environments

The longevity and healthy ageing observed in Blue Zones offer valuable insights for contemporary urban neighbourhood planning and design. This paper reviews the age-friendly features of the built environment in Blue Zones, aiming to translate these insights into actionable strategies for urban neighbourhood development. Employing a systematic literature review and Convolutional Neural Networks (CNNs) analysis of Google Street View imagery, this study assesses the built environments in Blue Zones, including housing, public spaces, and transportation systems. Key findings highlight the presence of adaptable housing, building designs that foster a connection with nature, and semi-public spaces that encourage social interaction and physical activity. A notable emphasis on walkability and limited public transport access was observed. The CNN analysis corroborated these findings, providing a quantitative view of age-friendly features. This research contributes to the academic discourse in urban planning and design by providing practical insights for developing age-friendly neighbourhoods, inspired by Blue Zones. It concludes by offering policy advice and future research directions for creating sustainable and inclusive urban environments conducive to ageing populations.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:21

Enthalten in:

International journal of environmental research and public health - 21(2024), 3 vom: 19. März

Sprache:

Englisch

Beteiligte Personen:

Najafi, Peyman [VerfasserIn]
Mohammadi, Masi [VerfasserIn]

Links:

Volltext

Themen:

Age-friendly communities
Blue Zones
Convolutional neural networks
Healthy ageing
Journal Article
Review
Systematic Review
Systematic literature review
Urban design

Anmerkungen:

Date Completed 29.03.2024

Date Revised 03.04.2024

published: Electronic

Citation Status MEDLINE

doi:

10.3390/ijerph21030365

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM370309073