了解中国城市建筑环境对居民闲暇时间体育活动影响的进展、局限和改进前景:系统综述

Fan Yang, Chao Ge, Jiayin Wang
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引用次数: 0

摘要

闲暇体育活动(LTPA)在改善健康状况方面发挥着至关重要的作用。同样,改善建筑环境的某些方面对于促进居民参与休闲体育活动也至关重要。然而,城市建筑环境特征对居民休闲体育活动水平的影响及其内在机制仍不清楚。针对这一空白,我们根据《系统综述和元分析首选报告项目》指南进行了系统性文献综述。2022 年,我们检索了 8 个数据库,确定了 453 篇相关出版物。所选文献必须符合特定的纳入标准:(i) 以中国成年人(≥18 岁)为样本;(ii) 量化了城市建筑环境特征对居民 LTPA 水平的影响。在最初的文章库中,有 18 篇文章符合我们的纳入标准。我们的研究结果表明,尽管以往的研究显示,美学感知和道路安全可促进居民参与长期体育锻炼,但目前缺乏识别建筑环境特征的方法,也缺乏分析特定人群中建筑环境与长期体育锻炼之间的社会心理中介机制的方法。提高研究结论的稳健性是一个重要的研究方向,它将为城市环境对人类健康的影响提供可靠的证据。关于中国城市建筑环境特征与居民 LTPA 水平之间关系的证据有限。然而,遥感图像、人工智能计算机视觉和机器学习技术的进步为建筑环境和土地利用功能建模提供了创新途径。以个人感知和社会心理因素为中介机制,建立建筑环境和 LTPA 的影响机制模型势在必行。这种方法将为城市空间优化和空间规划干预工具的开发提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Progress, limitations, and prospects for improvement in understanding the impact of urban built environment on residents’ leisure-time physical activity in China: A systematic review
Leisure-time physical activities (LTPAs) play a crucial role in improving health. Likewise, improving certain aspects of the built environment is essential for promoting residents to engage in LTPA. However, the impact of urban built environment characteristics on residents’ levels of LTPA and its underlying mechanism remain unclear. To address this gap, we conducted a systematic literature review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. In 2022, we searched eight databases and identified 453 relevant publications. The selected literature had to meet specific inclusion criteria: (i) the sample targeted Chinese adults (≥18 years), and (ii) it quantified the effect of urban built environment characteristics on residents’ levels of LTPA. Out of the initial pool, 18 articles met our inclusion criteria. Our findings indicate that although previous studies have revealed that esthetic perception and road safety can facilitate residents’ participation in LTPA, there is a lack of methods for identifying built environment characteristics and analyzing the psychosocial mediation mechanism between the built environment and LTPA in specific populations. Improving the robustness of research conclusions is an important research direction that will yield solid evidence of the impact of the urban environment on human health. Limited evidence exists regarding the association between urban built environment characteristics in China and residents’ LTPA levels. However, advancements in remote sensing images, computer vision in artificial intelligence, and machine learning technologies offer innovative avenues for modeling built environments and land use functions. Developing an impact mechanism model of the built environment and LTPA using individual perceptions and social psychological factors as mediating mechanisms is imperative. This approach will serve as a reference for urban spatial optimization and the development of spatial planning intervention tools.
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