Suppr超能文献

利用 GPS 数据研究建成环境与积极出行之间的关系:以上海市大居(大居)为例的研究。

Examining the association between the built environment and active travel using GPS data: A study of a large residential area (Daju) in Shanghai.

机构信息

Department of Urban Planning, College of Architecture and Urban Planning, Tongji University, Shanghai, 200092, China.

Department of Geography and Resource Management and Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong.

出版信息

Health Place. 2023 Jan;79:102971. doi: 10.1016/j.healthplace.2023.102971. Epub 2023 Jan 20.

Abstract

Automobile dependence and physical inactivity have become common health challenges for residents in large suburban residential areas. Limited literature has examined the associations between the built environment and active travel in such residential areas and the differences in these associations among residents from different neighborhoods. To avoid inaccurate results potentially derived from residence-based measures, we adopt a mobility-based approach for environmental exposure assessment. Using GPS data from 530 trips made by 98 participants in a large residential area in Shanghai, we investigate the relationships between neighborhood types, pollution perceptions, built environment features and active travel. The results indicate that residents in affordable and relocation housing make fewer active trips than those in market-rate housing, while the built environment seems to mitigate this difference. Sports facilities promote active travel while commercial facilities and road intersections discourage it. We identify significant interactions between the percentage of green space and neighborhood type, as well as floor area ratio and air pollution perception. Interventions promoting active travel include active-travel-friendly design for commercial facilities and road intersections, the provision of more sports facilities, a careful increase in floor area ratio, and the provision of more green space that is attractive to residents from different neighborhoods.

摘要

汽车依赖和缺乏身体活动已成为大型郊区住宅区居民常见的健康挑战。有限的文献研究了这些住宅区的建筑环境与积极出行之间的关系,以及不同社区居民之间这些关系的差异。为了避免可能源于居住基础措施的不准确结果,我们采用基于流动性的环境暴露评估方法。利用来自上海一个大型住宅区 98 名参与者的 530 次出行的 GPS 数据,我们调查了邻里类型、污染感知、建筑环境特征与积极出行之间的关系。结果表明,经济适用房和动迁房居民的积极出行次数少于市场价房居民,而建筑环境似乎缓解了这种差异。体育设施促进积极出行,而商业设施和道路交叉口则阻碍了这种出行方式。我们发现绿地百分比和邻里类型以及建筑面积比率和空气污染感知之间存在显著的相互作用。促进积极出行的干预措施包括对商业设施和道路交叉口进行适合积极出行的设计,提供更多的体育设施,谨慎增加建筑面积比率,并提供更多对来自不同社区的居民有吸引力的绿地。

相似文献

2
Disentangling residential self-selection from impacts of built environment characteristics on travel behaviors for older adults.
Soc Sci Med. 2019 Oct;238:112515. doi: 10.1016/j.socscimed.2019.112515. Epub 2019 Aug 24.
5
Non-linear Relationships Between the Built Environment and Walking Frequency Among Older Adults in Zhongshan, China.
Front Public Health. 2021 Aug 5;9:686144. doi: 10.3389/fpubh.2021.686144. eCollection 2021.
6
Nonlinear and threshold effects of built environment on older adults' walking duration: do age and retirement status matter?
Front Public Health. 2024 Jun 28;12:1418733. doi: 10.3389/fpubh.2024.1418733. eCollection 2024.
7
Association between residential self-selection and non-residential built environment exposures.
Health Place. 2018 Nov;54:149-154. doi: 10.1016/j.healthplace.2018.08.009. Epub 2018 Oct 2.
8
Development of a neighborhood drivability index and its association with transportation behavior in Toronto.
Environ Int. 2022 May;163:107182. doi: 10.1016/j.envint.2022.107182. Epub 2022 Mar 17.
9
GIS-modelled built-environment exposures reflecting daily mobility for applications in child health research.
Int J Health Geogr. 2020 Apr 10;19(1):12. doi: 10.1186/s12942-020-00208-2.
10
The Study on Spatial Elements of Health-Supportive Environment in Residential Streets Promoting Residents' Walking Trips.
Int J Environ Res Public Health. 2020 Jul 18;17(14):5198. doi: 10.3390/ijerph17145198.

引用本文的文献

1
Non-linear relationship between built environment and non-motorized travel efficiency under the traffic micro-circulation model.
PLoS One. 2025 Jan 30;20(1):e0314050. doi: 10.1371/journal.pone.0314050. eCollection 2025.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验