Age-Friendly Street Construction: The Synergy of the Physical Environment in Old Urban Communities in Suzhou

Community streets play a crucial role in promoting healthy aging and encouraging active behaviors among older adults. This study focuses on two types of activities of older adults: walking and social interaction. We explored the relationship between physical environmental factors and different activ...

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Main Authors: Zhengwei Xia, Xuanxuan Wang, Huixin Wang, Jiayi Jiang, Shi Chen, Hongshi Cao
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Buildings
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Online Access:https://www.mdpi.com/2075-5309/14/11/3378
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author Zhengwei Xia
Xuanxuan Wang
Huixin Wang
Jiayi Jiang
Shi Chen
Hongshi Cao
author_facet Zhengwei Xia
Xuanxuan Wang
Huixin Wang
Jiayi Jiang
Shi Chen
Hongshi Cao
author_sort Zhengwei Xia
collection DOAJ
description Community streets play a crucial role in promoting healthy aging and encouraging active behaviors among older adults. This study focuses on two types of activities of older adults: walking and social interaction. We explored the relationship between physical environmental factors and different activity types using a multiple linear regression model. Eye-level green visibility (<i>GSV<sub>N</sub></i>) was used to represent the diversity of facilities (<i>DF<sub>N</sub></i>), while betweenness (<i>AB<sub>N</sub></i>) accounted for the mixed degree of functions (<i>P<sub>Ni</sub></i>), enhancing model stability. The results indicate that community environmental factors, both individually (R<sup>2</sup> = 0.390) and in combination (R<sup>2</sup> = 0.409), have significant effects on active behaviors. Notably, the combined variable model demonstrated greater stability. Moreover, the model’s explanatory power for social interaction (R<sup>2</sup> = 0.567) was much higher than for walking behavior (R<sup>2</sup>= 0.137), underscoring the stronger influence of combined variables on social engagement. The results suggest that creating age-friendly urban environments requires a holistic approach that improves infrastructure, green visibility, and functional diversity to promote both mobility and social interaction. These insights provide valuable guidance for designing inclusive urban spaces that support active aging.
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issn 2075-5309
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spelling doaj-art-e8985f303ec544ed82cca95b0e7914d42024-11-26T17:55:27ZengMDPI AGBuildings2075-53092024-10-011411337810.3390/buildings14113378Age-Friendly Street Construction: The Synergy of the Physical Environment in Old Urban Communities in SuzhouZhengwei Xia0Xuanxuan Wang1Huixin Wang2Jiayi Jiang3Shi Chen4Hongshi Cao5School of Architecture, Soochow University, No. 199 Ren-ai Road, Suzhou Industrial Park, Suzhou 215123, ChinaSchool of Architecture, Soochow University, No. 199 Ren-ai Road, Suzhou Industrial Park, Suzhou 215123, ChinaGraduate School of Horticulture, Chiba University, Chiba 271-8510, JapanSchool of Architecture, Soochow University, No. 199 Ren-ai Road, Suzhou Industrial Park, Suzhou 215123, ChinaSchool of Architecture, Soochow University, No. 199 Ren-ai Road, Suzhou Industrial Park, Suzhou 215123, ChinaSchool of Architecture, Soochow University, No. 199 Ren-ai Road, Suzhou Industrial Park, Suzhou 215123, ChinaCommunity streets play a crucial role in promoting healthy aging and encouraging active behaviors among older adults. This study focuses on two types of activities of older adults: walking and social interaction. We explored the relationship between physical environmental factors and different activity types using a multiple linear regression model. Eye-level green visibility (<i>GSV<sub>N</sub></i>) was used to represent the diversity of facilities (<i>DF<sub>N</sub></i>), while betweenness (<i>AB<sub>N</sub></i>) accounted for the mixed degree of functions (<i>P<sub>Ni</sub></i>), enhancing model stability. The results indicate that community environmental factors, both individually (R<sup>2</sup> = 0.390) and in combination (R<sup>2</sup> = 0.409), have significant effects on active behaviors. Notably, the combined variable model demonstrated greater stability. Moreover, the model’s explanatory power for social interaction (R<sup>2</sup> = 0.567) was much higher than for walking behavior (R<sup>2</sup>= 0.137), underscoring the stronger influence of combined variables on social engagement. The results suggest that creating age-friendly urban environments requires a holistic approach that improves infrastructure, green visibility, and functional diversity to promote both mobility and social interaction. These insights provide valuable guidance for designing inclusive urban spaces that support active aging.https://www.mdpi.com/2075-5309/14/11/3378old urban communitystreetsolder adultsinteraction effectSuzhou
spellingShingle Zhengwei Xia
Xuanxuan Wang
Huixin Wang
Jiayi Jiang
Shi Chen
Hongshi Cao
Age-Friendly Street Construction: The Synergy of the Physical Environment in Old Urban Communities in Suzhou
Buildings
old urban community
streets
older adults
interaction effect
Suzhou
title Age-Friendly Street Construction: The Synergy of the Physical Environment in Old Urban Communities in Suzhou
title_full Age-Friendly Street Construction: The Synergy of the Physical Environment in Old Urban Communities in Suzhou
title_fullStr Age-Friendly Street Construction: The Synergy of the Physical Environment in Old Urban Communities in Suzhou
title_full_unstemmed Age-Friendly Street Construction: The Synergy of the Physical Environment in Old Urban Communities in Suzhou
title_short Age-Friendly Street Construction: The Synergy of the Physical Environment in Old Urban Communities in Suzhou
title_sort age friendly street construction the synergy of the physical environment in old urban communities in suzhou
topic old urban community
streets
older adults
interaction effect
Suzhou
url https://www.mdpi.com/2075-5309/14/11/3378
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