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

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

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? 2022 Elsevier GmbHStudies 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.

Eye-level greennessGoogle Street ViewMapped routesPublic participation GISRunning satisfactionTop-down greenness

Huang D.、Yuan L.、Jiang B.

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Lab for Optimizing Design of Built Environment School of Architecture and Urban Planning Shenzhen University

Virtual Reality Lab of Urban Environments and Human Health HKUrbanlabs The University of Hong Kong

2022

Urban Forestry & Urban Greening

Urban Forestry & Urban Greening

SCI
ISSN:1618-8667
年,卷(期):2022.68
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