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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作者: Dengkai Huang;Bin Jiang;Lei Yuan

来源: URBAN FORESTRY & URBAN GREENING,Vol.68,Issue1,Article 127480

语言: 英文

关键字: Running satisfaction;Eye-level greenness;Top-down greenness;Public participation GIS;Google Street View;Mapped routes

作者单位: Lab for Optimizing Design of Built Environment, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, 518060, China;Virtual Reality Lab of Urban Environments and Human Health, HKUrbanlabs, The University of Hong Kong, Hong Kong Special Administrative Region, China;Division of Landscape Architecture, Department of Architecture, The University of Hong Kong, Hong Kong Special Administrative Region, China;Lab for Optimizing Design of Built Environment, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, 518060, China;Virtual Reality Lab of Urban Environments and Human Health, HKUrbanlabs, The University of Hong Kong, Hong Kong Special Administrative Region, China;Division of Landscape Architecture, Department of Architecture, The University of Hong Kong, Hong Kong Special Administrative Region, China

摘要: 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.