研究主动交通与出行过程中接触街景多样性之间的关系:利用 GPS 数据和街景图像进行研究

IF 7.1 1区 地球科学 Q1 ENVIRONMENTAL STUDIES Computers Environment and Urban Systems Pub Date : 2024-03-14 DOI:10.1016/j.compenvurbsys.2024.102105
Hanlin Zhou , Jue Wang , Michael Widener , Kathi Wilson
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引用次数: 0

摘要

主动式交通(AT)--旅行中的身体活动(PA)--可以促进人类健康。在与出行研究相关的建筑环境因素中,设计指的是鼓励主动式交通的街道网络特征。街景图像(SVIs)的出现为通过捕捉视觉水平的建筑环境来测量出行过程中的设计提供了可能。得益于街景图像,本研究创新性地引入了街景多样性--由街景图像衍生的建筑环境因素--作为从街景角度衡量设计的代理变量。较高的街景多样性可以增加到达潜在目的地和治疗景观的机会,从而促进AT的发展。通过整合 SVI 和年轻人的全球定位系统(GPS)轨迹,本研究利用负二项回归模型来评估街景多样性与 AT 花费时间之间的关系。结果表明,纳入街景多样性可提高模型性能,街景多样性与 AT 之间存在正相关关系。这一结果表明,增加使用具有多样化街景的出行路线的机会,可以提高参与交通活动的概率。此外,整合个人 GPS 数据和 SVI 可以对个人环境暴露进行更精确的时空测量。
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Examining the relationship between active transport and exposure to streetscape diversity during travel: A study using GPS data and street view imagery

Active transport (AT)—physical activity (PA) during travel—can promote human health. Among built environment factors related to travel research, design refers to the street network features encouraging AT. The advent of street view images (SVIs) presents the potential to measure design during travel by capturing the eye-level built environments. Benefited by SVIs, this study innovatively introduces streetscape diversity—the interconnection of street view-derived built environment factors—during travel as the proxy to measure design from the street view perspective. Exposures to higher streetscape diversity could provide increased access to potential destinations and therapeutic landscapes, thereby promoting AT. Through integrating SVIs and young adults’ Global Positioning System (GPS) trajectories, this study utilized negative binomial regression models to assess the relationship between streetscape diversity and time spent in AT. Results indicate that the inclusion of streetscape diversity improves the model performance, and there is a positive relationship between streetscape diversity and AT. This finding indicates that increased access to travel routes with diverse streetscapes could increase the probability of participating in AT. Furthermore, integrating individual GPS data and SVIs allows more precise space-time measurement of individual environmental exposures.

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来源期刊
CiteScore
13.30
自引率
7.40%
发文量
111
审稿时长
32 days
期刊介绍: Computers, Environment and Urban Systemsis an interdisciplinary journal publishing cutting-edge and innovative computer-based research on environmental and urban systems, that privileges the geospatial perspective. The journal welcomes original high quality scholarship of a theoretical, applied or technological nature, and provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations. Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of environmental and urban systems, their spatial scope and their dynamics.
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