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Article: Analyzing the effects of nature exposure on perceived satisfaction with running routes: An activity path-based measure approach

TitleAnalyzing the effects of nature exposure on perceived satisfaction with running routes: An activity path-based measure approach
Authors
KeywordsEye-level greenness
Google Street View
Mapped routes
Public participation GIS
Running satisfaction
Top-down greenness
Issue Date15-Jan-2022
PublisherElsevier
Citation
Urban Forestry and Urban Greening, 2022, v. 68 How to Cite?
Abstract

Studies on the linkages between nature exposure and physical activities often focus simply on the immediate vicinity of home locations, but path-based exercises, such as running and cycling, are continuous activities and cover a broad spatial extent. Thus, the traditional home buffer approach fails to acknowledge the settings where road running actually occurs. This study employed an activity path-based measure approach using public participation GIS (PPGIS) to investigate the associations between running satisfaction and nature exposure. The mapped routes (N=545) that included an assessment of satisfaction level were collected from 249 runners resided in the Helsinki Metropolitan Area, Finland. Logistic regression analyses revealed a positive association between running satisfaction and nature exposure, including eye-level greenness, top-down greenness and blue space density. Top-down greenness was assessed by Normalized Difference Vegetation Index (NDVI) and the eye-level greenness by Green View Index (GVI), the latter one of which uses a deep learning algorithm. Running environment was more satisfying in those routes with more public transport nodes. Other traffic-related factors breaking the momentum of runners such as traffic light density were inversely related to running satisfaction. Demographic characteristics such as education background also played a significant role in the perceived satisfaction with running routes. The positive impacts of nature exposure on running satisfaction further verify the linkages between landscape and public health.


Persistent Identifierhttp://hdl.handle.net/10722/340069
ISSN
2023 Impact Factor: 6.0
2023 SCImago Journal Rankings: 1.619
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHuang, Dengkai-
dc.contributor.authorJiang, Bin-
dc.contributor.authorYuan, Lei-
dc.date.accessioned2024-03-11T10:41:26Z-
dc.date.available2024-03-11T10:41:26Z-
dc.date.issued2022-01-15-
dc.identifier.citationUrban Forestry and Urban Greening, 2022, v. 68-
dc.identifier.issn1618-8667-
dc.identifier.urihttp://hdl.handle.net/10722/340069-
dc.description.abstract<p>Studies on the linkages between nature exposure and <a href="https://www.sciencedirect.com/topics/social-sciences/physical-activity" title="Learn more about physical activities from ScienceDirect's AI-generated Topic Pages">physical activities</a> often focus simply on the immediate vicinity of home locations, but path-based exercises, such as running and cycling, are continuous activities and cover a broad spatial extent. Thus, the traditional home buffer approach fails to acknowledge the settings where road running actually occurs. This study employed an activity path-based measure approach using public participation GIS (PPGIS) to investigate the associations between running satisfaction and nature exposure. The mapped routes (N=545) that included an assessment of satisfaction level were collected from 249 runners resided in the Helsinki <a href="https://www.sciencedirect.com/topics/social-sciences/metropolitan-area" title="Learn more about Metropolitan Area from ScienceDirect's AI-generated Topic Pages">Metropolitan Area</a>, Finland. Logistic <a href="https://www.sciencedirect.com/topics/social-sciences/regression-analysis" title="Learn more about regression analyses from ScienceDirect's AI-generated Topic Pages">regression analyses</a> revealed a positive association between running satisfaction and nature exposure, including eye-level greenness, top-down greenness and blue space density. Top-down greenness was assessed by <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/normalized-difference-vegetation-index" title="Learn more about Normalized Difference Vegetation Index from ScienceDirect's AI-generated Topic Pages">Normalized Difference Vegetation Index</a> (NDVI) and the eye-level greenness by Green View Index (GVI), the latter one of which uses a deep learning algorithm. Running environment was more satisfying in those routes with more <a href="https://www.sciencedirect.com/topics/social-sciences/public-transport" title="Learn more about public transport from ScienceDirect's AI-generated Topic Pages">public transport</a> nodes. Other traffic-related factors breaking the momentum of runners such as traffic light density were inversely related to running satisfaction. Demographic characteristics such as education background also played a significant role in the perceived satisfaction with running routes. The positive impacts of nature exposure on running satisfaction further verify the linkages between landscape and public health.<br></p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofUrban Forestry and Urban Greening-
dc.subjectEye-level greenness-
dc.subjectGoogle Street View-
dc.subjectMapped routes-
dc.subjectPublic participation GIS-
dc.subjectRunning satisfaction-
dc.subjectTop-down greenness-
dc.titleAnalyzing the effects of nature exposure on perceived satisfaction with running routes: An activity path-based measure approach-
dc.typeArticle-
dc.identifier.doi10.1016/j.ufug.2022.127480-
dc.identifier.scopuseid_2-s2.0-85122958455-
dc.identifier.volume68-
dc.identifier.isiWOS:000789608500008-
dc.identifier.issnl1610-8167-

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