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Neighbourhoods for healthy ageing: Examining the nonlinear effect of neighbourhood environments on older adults' functional ability

  • Yuqi Liu
  • , Yiru Li
  • , Mengdi Wu*
  • , Yi Lu
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

An effective response to population ageing is crucial for ensuring global social sustainability. Improving the age-friendliness of neighbourhoods and maintaining the functional ability of older adults are key strategies in addressing the challenges posed by population ageing. However, the nonlinear effect of neighbourhood environments on the functional ability of older adults is largely unexplored. This study performed empirical analysis using multi-source geospatial data and questionnaire survey data from Guangzhou, China. Results of generalized additive mixed models revealed that the population density, branch road proportion, and street traffic volume exerted a positive influence on the older adults' functional ability, and when the values were outside the optimal range, the positive association became negative. In addition, the accessibility of facilities, street safety, visible sky features, and water areas exerted a positive impact on functional ability. Meanwhile, high-density urban environment characteristics, namely building density, road density, and the number of public transportation stops, exerted a negative impact. This study contributes to person–environment fit theory by revealing the optimal levels of environmental attributes for the functional ability among older adults, as well as by comprehensively examining impacts from two spatial scales – neighbourhood and streetscape environments – and by revealing the heterogeneous effects from income and age. Furthermore, it recommends evidence-based planning and targeted governance strategies for building age-friendly neighbourhoods in China and other high-density Asian cities. © 2025 Elsevier Inc.
Original languageEnglish
Article number108115
Number of pages16
JournalEnvironmental Impact Assessment Review
Volume116
Online published26 Aug 2025
DOIs
Publication statusPublished - Jan 2026

Funding

This study was supported by the National Natural Science Foundation of China (Grant No. 42301215 ), Young Elite Scientists Sponsorship Program by CAST (No. 2022QNRC001 ), and Natural Science Foundation of Guangdong Province , China (No. 2024A1515012607 ).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research Keywords

  • Age groups
  • Functional ability
  • Generalized additive mixed models
  • Income groups
  • Neighbourhood environments
  • Nonlinear effects
  • Older adults

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