TY - JOUR
T1 - Redefining Age-Friendly Neighbourhoods
T2 - Translating the Promises of Blue Zones for Contemporary Urban Environments
AU - Najafi, Peyman
AU - Mohammadi, Masi
PY - 2024/3
Y1 - 2024/3
N2 - 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.
AB - 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.
KW - Blue Zones
KW - Age-friendly communities
KW - Healthy ageing
KW - systematic literature review (SLR)
KW - Urban design
KW - Convolutional neural networks (CNNs)
KW - Walking
KW - Residence Characteristics
KW - Exercise
KW - Transportation
KW - Environment Design
KW - Housing
KW - healthy ageing
KW - urban design
KW - age-friendly communities
KW - convolutional neural networks
KW - systematic literature review
UR - http://www.scopus.com/inward/record.url?scp=85188815160&partnerID=8YFLogxK
U2 - 10.3390/ijerph21030365
DO - 10.3390/ijerph21030365
M3 - Article
C2 - 38541364
SN - 1661-7827
VL - 21
JO - International Journal of Environmental Research and Public Health
JF - International Journal of Environmental Research and Public Health
IS - 3
M1 - 365
ER -