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English(EN) Beyond travel mode: urban context shapes active mobility's mental health effects over time

城市环境加剧了积极出行对心理健康益处方面的不平等

一项利用因果机器学习对超过26万英国成年人进行的新研究表明,从步行和骑行等积极出行中获得的心理健康益处存在显著的不平等。这些差异不仅是个体化的,而且受到城市环境的强烈影响,在支持性较差的社区中,益处会随着时间的推移而减弱。研究表明,绿色、安全、污染较少的地区能带来最大的心理健康优势,而遗传因素在这些影响中的作用很小。研究结果表明,如果未考虑环境和个体差异,广泛推广积极出行可能会无意中加剧健康不平等。 AI

影响 强调了在公共卫生和城市规划中需要具有情境感知能力的AI应用,以确保公平的结果。

排序理由 学术论文发表在arXiv上,详细介绍了研究结果。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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城市环境加剧了积极出行对心理健康益处方面的不平等

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学术论文发表在arXiv上,详细介绍了研究结果。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Shujuan Chen, Yue Li, Ying Jin ·

    超越出行模式:城市环境如何塑造主动出行对心理健康的长期影响

    arXiv:2607.04520v1 Announce Type: new Abstract: Active mobility is widely promoted for sustainable and healthier living, but whether it translates into equitable mental health benefits across individuals and places over time remains unknown. Using causal machine learning and caus…