Design of urban and rural elderly care public areas integrating person-environment fit theory

Abstract With the aggravation of the global aging process, providing a suitable living environment for the elderly has become an urgent issue. Based on the theory of human-environment adaptation, this study proposes a multilevel aging-friendly design scheme, aiming to improve the adaptability of urban and rural retirement public areas and the quality of life of the elderly. Through field research and questionnaire surveys, the impact of key design elements such as spatial layout, road design, lighting configuration, and resting area setup is investigated, taking into account the needs of the elderly in urban and rural areas of Chengdu. The results of the study reveal that spatial design has the most significant impact on the adaptability of the elderly, boasting a regression coefficient of 0.34. Road design, lighting design, and seating design also contribute, with regression coefficients of 0.27, 0.22, and 0.19, respectively. These findings indicate that various design elements play a crucial role in improving the convenience of activities, safety, and social interaction for the elderly. The adjusted R 2 of the overall model is 0.72, indicating that the explanatory power of the design elements on the adaptability of the elderly is strong. The study provides a theoretical basis and practical guidance for the design of aging-friendly public areas for the elderly, which has high social value and application prospects.

Authors

Publication Details

Journal
Nonlinear Engineering
Published
2025-01-01
DOI
https://doi.org/10.1515/nleng-2025-0096
Citations
1
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
2.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of urban and rural elderly care public areas integrating person-environment fit theory

Han Shuai
1 citations
Nonlinear Engineering
Urban Transport and Accessibility
2.18
article

Design of urban and rural elderly care public areas integrating person-environment fit theory

Han Shuai
article en
1 citations

Abstract

Abstract With the aggravation of the global aging process, providing a suitable living environment for the elderly has become an urgent issue. Based on the theory of human-environment adaptation, this study proposes a multilevel aging-friendly design scheme, aiming to improve the adaptability of urban and rural retirement public areas and the quality of life of the elderly. Through field research and questionnaire surveys, the impact of key design elements such as spatial layout, road design, lighting configuration, and resting area setup is investigated, taking into account the needs of the elderly in urban and rural areas of Chengdu. The results of the study reveal that spatial design has the most significant impact on the adaptability of the elderly, boasting a regression coefficient of 0.34. Road design, lighting design, and seating design also contribute, with regression coefficients of 0.27, 0.22, and 0.19, respectively. These findings indicate that various design elements play a crucial role in improving the convenience of activities, safety, and social interaction for the elderly. The adjusted R 2 of the overall model is 0.72, indicating that the explanatory power of the design elements on the adaptability of the elderly is strong. The study provides a theoretical basis and practical guidance for the design of aging-friendly public areas for the elderly, which has high social value and application prospects.

Nonlinear EngineeringVol. 14(1)
Sustainable cities and communities
Openalex Percentile: Top 13%
Urban Transport and Accessibility
2.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.