首页|Integrating linear and nonlinear models to assess the built environment's impact on older adults'behaviors in China

Integrating linear and nonlinear models to assess the built environment's impact on older adults'behaviors in China

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  • 万方数据
China is experiencing rapid population aging.The one contributing factor affecting senior citizens'lives is the disconnect between the built environment in urban and rural areas and the behavioral preferences of older adults.However,research on the relation between the built environment and the behavior of older individuals has been limited.Thus,this paper uses the most recent health tracking data on factors influencing aging in China released in 2020(China Senior Health Survey Tracking Survey).Applying traditional regression,least absolute shrinkage and selection operator regression,and two decision tree optimization models from machine learning,a comprehensive comparative study is carried out to investigate the correlation between the built en-vironment and the physical activity,dietary habits,and social interactions of older age groups.The findings re-veal that built environment variables most significantly impact physical activity,accounting for 52.525%,fol-lowed by social interaction behaviors at 50.202%and dietary intake at 47.991%.Furthermore,the authors identify population density and greenness rate as the built environment factors having considerable effects on the behavior of older adults.Thus,this study establishes a theoretical foundation for developing age-friendly community environments for older adults.

Built environmentBehavioral activityAgingMachine learning

Xiaoping Wang、Zeyan Li、Fang Wu、Meng Zhang、Hongyong Liu

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School of Civil Engineering and Geomatics,Southwest Petroleum University,Chengdu 610500,China

Jinan University-University of Birmingham Joint Institute,Jinan University,Guangzhou 511443,China

School of Civil Engineering,Hebei University of Engineering,Handan 056038,China

Special Funds for Cultivation of Guangdong College Students'Scientific and Technological Innovation("Climbing Program"SpeciaNational Innovation and Entrepreneurship Training Program for Undergraduate

pdjh2024a053S202310559083

2024

10.1016/j.cjpre.2024.06.005

中国人口·资源与环境(英文版)
中国可持续发展研究会等

中国人口·资源与环境(英文版)

CSTPCD
影响因子：0.117
ISSN：1004-2857
年,卷(期)：2024.22(2)
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