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October 2, 2025Buildings3 citationsOpen Access

Assessment of Age-Friendly Streets in High-Density Urban Areas Using AFEAT, Street View Imagery, and Deep Learning: A Case Study of Qinhuai District, Nanjing, China

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XLXiaoguang LiuYLYueguang LvWLWangtao Li

Key Points

  • Results show significant spatial disparities in age-friendliness across street segments.
  • Safe mobility, healthcare services, and walkable environments are crucial for older adults' well-being.
  • Observational analysis using street view imagery and deep learning methods evaluated urban age-friendliness.
  • Findings highlight the need for improved walkability and facility distribution to enhance urban environments.

Abstract

With the rapid urban aging trend in China, evaluating the age-friendliness of street environments is critical for inclusive urban planning. This study proposes the Age-Friendly Environment Assessment Tool (AFEAT) to assess street-level age-friendliness in high-density urban contexts, grounded in the World Health Organization’s (WHO) Global Age-Friendly Cities: A Guide and adapted to the spatial characteristics of Nanjing’s Qinhuai District. By integrating multi-source data such as street-view image segmentation, Point of Interest (POI)-based network accessibility, kernel density estimation, Analytic Hierarchy Process (AHP)-derived indicator weights, and Random Forest regression, the study develops a comprehensive and spatialized evaluation framework. The results reveal significant spatial disparities in age-friendliness across street segments, with Safe Mobility, Healthcare Services, and Walkable Environment identified as the most influential factors for older adults. High-performing areas are concentrated in the central urban core, while peripheral zones face challenges such as poor walkability, insufficient lighting, and a lack of facilities. The study recommends strengthening a walkability-based age-friendly safety and healthcare support system and optimizing the spatial distribution of recreational and medical facilities to address mismatches between supply and demand. These findings provide practical guidance for targeted, evidence-based interventions aimed at fostering equitable and resilient urban environments for aging populations.

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Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/68de796d5b556a9128e1acfbhttps://doi.org/10.3390/buildings15193518
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