• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

建设适合跑步的城市:利用中国上海 973 万健身追踪器数据研究街道景观对跑步的影响。

Building running-friendly cities: effects of streetscapes on running using 9.73 million fitness tracker data in Shanghai, China.

机构信息

School of Architecture and Urban-rural Planning, Fuzhou University, Fuzhou, 350108, China.

Laboratory of Smart Habitat for Humanity, Fuzhou University, Fuzhou, China.

出版信息

BMC Public Health. 2024 Aug 20;24(1):2251. doi: 10.1186/s12889-024-19605-4.

DOI:10.1186/s12889-024-19605-4
PMID:39164681
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11334487/
Abstract

The association between built environment and physical activity has been recognized. However, how and to what extent microscale streetscapes are related to running activity remains underexplored, partly due to the lack of running data in large urban areas. Moreover, few studies have examined the interactive effects of macroscale built environment and microscale streetscapes. This study examines the main and interactive effects of the two-level environments on running intensity, using 9.73 million fitness tracker data from Keep in Shanghai, China. Results of spatial error model showed that: 1) the explanatory power of microscale streetscapes was higher than that of macroscale built environment with R of 0.245 and 0.240, respectively, which is different from the prior finding that R is greater for macroscale built environment than for microscale streetscape; 2) sky and green view indexes were positively associated with running intensity, whereas visual crowdedness had a negative effect; 3) there were negative interactions of land use Herfindahl-Hirschman index with sky and green view indexes, while a positive interaction was observed for visual crowdedness. To conclude, greener, more open and less visually crowded streetscapes, can promote running behavior and enhance the benefits of land use mix as well. The findings highlight the importance of streetscapes in promoting running behavior, instead of a supplement to macroscale built environment.

摘要

已经认识到了建筑环境与身体活动之间的关联。然而,微观街道景观与跑步活动之间的关系以及这种关系的程度仍未得到充分探究,部分原因是在大型城市地区缺乏跑步数据。此外,很少有研究检验过大尺度建筑环境和微尺度街道景观的交互作用。本研究使用来自中国上海 Keep 的 973 万条健身追踪器数据,检验了两个层面环境对跑步强度的主要和交互作用。空间误差模型的结果表明:1)微观街道景观的解释力高于大尺度建筑环境,其 R 分别为 0.245 和 0.240,这与先前的发现不同,即大尺度建筑环境的 R 大于微观街道景观;2)天空和绿色视野指数与跑步强度呈正相关,而视觉拥挤度则呈负相关;3)土地利用赫芬达尔-赫希曼指数与天空和绿色视野指数存在负向交互作用,而与视觉拥挤度存在正向交互作用。总之,更绿色、更开放和视觉上不那么拥挤的街道景观可以促进跑步行为,并增强土地利用混合的益处。研究结果强调了街道景观在促进跑步行为方面的重要性,而不是对大尺度建筑环境的补充。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d973/11334487/9392cb2e8220/12889_2024_19605_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d973/11334487/7d63bfb9eb3a/12889_2024_19605_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d973/11334487/9c6eb6521994/12889_2024_19605_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d973/11334487/f4ac8b6a53bb/12889_2024_19605_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d973/11334487/07d9526d5ebf/12889_2024_19605_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d973/11334487/76485a9e53fa/12889_2024_19605_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d973/11334487/9392cb2e8220/12889_2024_19605_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d973/11334487/7d63bfb9eb3a/12889_2024_19605_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d973/11334487/9c6eb6521994/12889_2024_19605_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d973/11334487/f4ac8b6a53bb/12889_2024_19605_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d973/11334487/07d9526d5ebf/12889_2024_19605_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d973/11334487/76485a9e53fa/12889_2024_19605_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d973/11334487/9392cb2e8220/12889_2024_19605_Fig6_HTML.jpg

相似文献

1
Building running-friendly cities: effects of streetscapes on running using 9.73 million fitness tracker data in Shanghai, China.建设适合跑步的城市:利用中国上海 973 万健身追踪器数据研究街道景观对跑步的影响。
BMC Public Health. 2024 Aug 20;24(1):2251. doi: 10.1186/s12889-024-19605-4.
2
Moderation Effects of Streetscape Perceptions on the Associations Between Accessibility, Land Use Mix, and Bike-Sharing Use: Cross-Sectional Study.街道景观感知对可达性、土地利用混合度与共享单车使用之间关联的调节作用:横断面研究。
JMIR Public Health Surveill. 2024 Jul 3;10:e58761. doi: 10.2196/58761.
3
Contribution of streetscape audits to explanation of physical activity in four age groups based on the Microscale Audit of Pedestrian Streetscapes (MAPS).基于步行街微观尺度审计(MAPS)的街道景观审计对四个年龄组身体活动解释的贡献。
Soc Sci Med. 2014 Sep;116:82-92. doi: 10.1016/j.socscimed.2014.06.042. Epub 2014 Jun 24.
4
Investigating the Association between Streetscapes and Mental Health in Zhanjiang, China: Using Baidu Street View Images and Deep Learning.利用百度街景图像和深度学习技术探究中国湛江街道景观与心理健康之间的关系
Int J Environ Res Public Health. 2022 Dec 11;19(24):16634. doi: 10.3390/ijerph192416634.
5
Training Computers to See the Built Environment Related to Physical Activity: Detection of Microscale Walkability Features Using Computer Vision.训练计算机识别与体力活动相关的建成环境:使用计算机视觉检测微观步行环境特征。
Int J Environ Res Public Health. 2022 Apr 9;19(8):4548. doi: 10.3390/ijerph19084548.
6
What factors influence the willingness and intensity of regular mobile physical activity?- A machine learning analysis based on a sample of 290 cities in China.哪些因素会影响定期进行移动体育活动的意愿和强度?——基于中国290个城市样本的机器学习分析。
Front Public Health. 2025 Jan 23;13:1511129. doi: 10.3389/fpubh.2025.1511129. eCollection 2025.
7
Predicting the effect of street environment on residents' mood states in large urban areas using machine learning and street view images.利用机器学习和街景图像预测大城市街道环境对居民情绪状态的影响。
Sci Total Environ. 2022 Apr 10;816:151605. doi: 10.1016/j.scitotenv.2021.151605. Epub 2021 Nov 24.
8
Spatio-temporal effects of built environment on running activity based on a random forest approach in nanjing, China.基于随机森林方法的中国南京建成环境对跑步活动的时空效应。
Health Place. 2024 Jan;85:103176. doi: 10.1016/j.healthplace.2024.103176. Epub 2024 Jan 19.
9
Is Your Neighborhood Designed to Support Physical Activity? A Brief Streetscape Audit Tool.你的社区是否适合支持体育活动?一种简要的街道景观审计工具。
Prev Chronic Dis. 2015 Sep 3;12:E141. doi: 10.5888/pcd12.150098.
10
How do urban block built environments affect older adults' walking activities and health effects: a case study in Nanjing, China.城市街区建成环境如何影响老年人的步行活动和健康效应:以中国南京为例的一项研究。
Front Public Health. 2024 Sep 30;12:1479305. doi: 10.3389/fpubh.2024.1479305. eCollection 2024.

本文引用的文献

1
Socioeconomic position, built environment and physical activity among children and adolescents: a systematic review of mediating and moderating effects.社会经济地位、建筑环境与儿童和青少年的身体活动:中介和调节作用的系统综述。
Int J Behav Nutr Phys Act. 2022 Dec 12;19(1):149. doi: 10.1186/s12966-022-01385-y.
2
The built environment and mental health among older adults in Dalian: The mediating role of perceived environmental attributes.大连老年人的建筑环境与心理健康:感知环境属性的中介作用
Soc Sci Med. 2022 Oct;311:115333. doi: 10.1016/j.socscimed.2022.115333. Epub 2022 Sep 1.
3
Active use and perceptions of parks as urban assets for physical activity: A mixed-methods study.
积极利用公园作为城市资产促进身体活动:一项混合方法研究。
Health Place. 2021 Sep;71:102660. doi: 10.1016/j.healthplace.2021.102660. Epub 2021 Aug 25.
4
Neighborhood environment, social participation, and physical activity in older adults with lower limb osteoarthritis: A mediation analysis.社区环境、社会参与与下肢骨关节炎老年人身体活动的关系:中介分析
Health Place. 2021 Mar;68:102513. doi: 10.1016/j.healthplace.2021.102513. Epub 2021 Jan 25.
5
Dose-response effect of a large-scale greenway intervention on physical activities: The first natural experimental study in China.大规模绿道干预对身体活动的剂量反应效应:中国首个自然实验研究。
Health Place. 2021 Jan;67:102502. doi: 10.1016/j.healthplace.2020.102502. Epub 2021 Jan 1.
6
A Scoping Review of the Relationship between Running and Mental Health.跑步与心理健康关系的范围综述。
Int J Environ Res Public Health. 2020 Nov 1;17(21):8059. doi: 10.3390/ijerph17218059.
7
Is running associated with a lower risk of all-cause, cardiovascular and cancer mortality, and is the more the better? A systematic review and meta-analysis.跑步与全因、心血管疾病和癌症死亡率降低相关,而且跑的越多越好?一项系统评价和荟萃分析。
Br J Sports Med. 2020 Aug;54(15):898-905. doi: 10.1136/bjsports-2018-100493. Epub 2019 Nov 4.
8
Attractive running environments for all? A cross-sectional study on physical environmental characteristics and runners' motives and attitudes, in relation to the experience of the running environment.适合所有人的有吸引力的跑步环境?一项关于物理环境特征以及跑步者动机和态度与跑步环境体验之间关系的横断面研究。
BMC Public Health. 2019 Apr 2;19(1):366. doi: 10.1186/s12889-019-6676-6.
9
Neighborhood walkability and physical activity among older women: Tests of mediation by environmental perceptions and moderation by depressive symptoms.社区可达性与老年女性身体活动:环境感知的中介作用检验和抑郁症状的调节作用。
Prev Med. 2018 Nov;116:60-67. doi: 10.1016/j.ypmed.2018.08.008. Epub 2018 Aug 6.
10
Global participation in sport and leisure-time physical activities: A systematic review and meta-analysis.全球参与体育和休闲时间身体活动:一项系统评价与荟萃分析。
Prev Med. 2017 Feb;95:14-25. doi: 10.1016/j.ypmed.2016.11.027. Epub 2016 Dec 6.