In this study, the Random Forest algorithm was employed to explore the non-linear effects of demographic variables, perceived safety, subjective built environment (including perceptions and preferences of the built environment), and walking accessibility on the subjective well-being of older adults.
The findings of this study underscore the pivotal role of walking accessibility in influencing the well-being of older adults, particularly in terms of access to bazaars and health centers, where non-linear and threshold effects are evident. Furthermore, community safety, road conditions, and walking preferences were identified as positive influencers on the well-being of older adults. Well-being trends varied with age, revealing noteworthy non-linear relationships for certain variables.
The insights gained from this study provide crucial theoretical guidance for the development of policies tailored to the unique context of rural aging. By taking into account factors such as walking accessibility, community safety, health support, and social interaction, we can create an improved living environment for rural older adults, ultimately enhancing their happiness and overall quality of life.
■在这项研究中,随机森林算法被用来探索人口统计学变量的非线性效应,感知的安全性,主观建筑环境(包括对建筑环境的感知和偏好),和步行可达性对老年人主观幸福感的影响。
■这项研究的结果强调了步行可达性在影响老年人幸福感方面的关键作用,特别是在进入集市和保健中心方面,其中非线性和阈值效应是明显的。此外,社区安全,路况,步行偏好被认为是对老年人福祉的积极影响因素。幸福趋势随年龄而变化,揭示了某些变量值得注意的非线性关系。
■从这项研究中获得的见解为制定针对农村老龄化的独特背景的政策提供了重要的理论指导。通过考虑步行可达性等因素,社区安全,健康支持,和社会互动,我们可以为农村老年人创造一个更好的生活环境,最终提高他们的幸福感和整体生活质量。