Decoding urban green spaces: Deep learning and google street view measure greening structures

Zhang, Longhao; Wang, Lei; Wu, Jun; Li, Pengbo; Dong, Jing; Wang, Tianrun

doi:10.1016/j.ufug.2023.128028

Cited by 13 publications

(1 citation statement)

References 22 publications

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“…This architecture is renowned for its efficiency and accuracy in object detection across diverse contexts [ 60 ]. We selected YOLOv5 for its proven efficacy in urban design applications, as evidenced by [ 61 , 62 , 63 ]. YOLOv5 was instrumental in identifying and extracting objects from the Blue Zones’ GSV imagery.…”

Section: Methodsmentioning

confidence: 99%

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

Najafi,

Mohammadi

2024

IJERPH

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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.

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