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Exploring the Associations Between t...
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Zhou, Hanlin,
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Exploring the Associations Between the Visual Built Environment and Active Transport /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Exploring the Associations Between the Visual Built Environment and Active Transport // Hanlin Zhou.
作者:
Zhou, Hanlin,
面頁冊數:
1 electronic resource (180 pages)
附註:
Source: Dissertations Abstracts International, Volume: 86-05, Section: B.
Contained By:
Dissertations Abstracts International86-05B.
標題:
Geography. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31490489
ISBN:
9798342757096
Exploring the Associations Between the Visual Built Environment and Active Transport /
Zhou, Hanlin,
Exploring the Associations Between the Visual Built Environment and Active Transport /
Hanlin Zhou. - 1 electronic resource (180 pages)
Source: Dissertations Abstracts International, Volume: 86-05, Section: B.
Health Geography emphasizes the importance of place in shaping health. The built environment-the human-made physical environment for human activity and travel-is an important physical context in place. The built environment has been shown to impact health behaviors, including Active Transport (AT), which refers to physical activity during travel. AT has been shown to reduce the risk of chronic disease and is suggested to have the potential to make cities more sustainable. When engaging in AT, how people observe and evaluate the visual built environment (VBE) may affect their decisions to participate in AT. However, researchers face a challenge in collecting high-quality VBE data in support of large-scale AT studies. The dual availability of extensive street view imagery (SVI) and advanced scene understanding techniques presents the potential to collect high-quality VBE data on a large scale for AT studies.The overarching research question of this thesis is: How is the street view-derived VBE in travel associated with AT? This dissertation uses SVIs as well as individual health and mobility data to examine how the objective elements of the VBE are associated with AT. Results show that streetscape diversity (serving as a proxy to measure the overall design of VBE), road, and vertical greenness, are positively related to AT, while traffic light makes a negative association. Additionally, this dissertation uses SVIs and a human-audited SVI dataset to measure AT-related subjective perceptions. Results show that SVI-based perceptions can vary by gender, and model-predicted perceptions based on SVIs are close to onsite observed perceptions but still could not replace onsite perceptions.Through using SVIs, this dissertation not only elucidates the relationship between the VBE factors and AT, but also demonstrates the potential of SVIs to model human perceptions. Furthermore, this thesis provides scalable methods to study and enhance AT behaviors from the perspective of VBE. Findings also provide evidence to guide urban planning and policy in creating healthier, more sustainable cities by integrating features that promote AT and improving the understanding of large-scale human perceptions of VBE.
English
ISBN: 9798342757096Subjects--Topical Terms:
524010
Geography.
Subjects--Index Terms:
Street view imagery
Exploring the Associations Between the Visual Built Environment and Active Transport /
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Health Geography emphasizes the importance of place in shaping health. The built environment-the human-made physical environment for human activity and travel-is an important physical context in place. The built environment has been shown to impact health behaviors, including Active Transport (AT), which refers to physical activity during travel. AT has been shown to reduce the risk of chronic disease and is suggested to have the potential to make cities more sustainable. When engaging in AT, how people observe and evaluate the visual built environment (VBE) may affect their decisions to participate in AT. However, researchers face a challenge in collecting high-quality VBE data in support of large-scale AT studies. The dual availability of extensive street view imagery (SVI) and advanced scene understanding techniques presents the potential to collect high-quality VBE data on a large scale for AT studies.The overarching research question of this thesis is: How is the street view-derived VBE in travel associated with AT? This dissertation uses SVIs as well as individual health and mobility data to examine how the objective elements of the VBE are associated with AT. Results show that streetscape diversity (serving as a proxy to measure the overall design of VBE), road, and vertical greenness, are positively related to AT, while traffic light makes a negative association. Additionally, this dissertation uses SVIs and a human-audited SVI dataset to measure AT-related subjective perceptions. Results show that SVI-based perceptions can vary by gender, and model-predicted perceptions based on SVIs are close to onsite observed perceptions but still could not replace onsite perceptions.Through using SVIs, this dissertation not only elucidates the relationship between the VBE factors and AT, but also demonstrates the potential of SVIs to model human perceptions. Furthermore, this thesis provides scalable methods to study and enhance AT behaviors from the perspective of VBE. Findings also provide evidence to guide urban planning and policy in creating healthier, more sustainable cities by integrating features that promote AT and improving the understanding of large-scale human perceptions of VBE.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31490489
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