Exploring the Perception of Landscape Elements through User-Generated Data to Support Greenspace Management
Concern for individual perception is essential to enhance greenspace management. Various landscape elements are key factors affecting visitors’ perception engaging in greenspaces. Targeting Belgian public greenspaces, we develop a comprehensive approach to quantify visitors’ perceptions from multipl...
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          | Main Authors: | , , , , , , | 
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| Format: | Article | 
| Language: | English | 
| Published: | American Association for the Advancement of Science (AAAS)
    
        2024-01-01 | 
| Series: | Ecosystem Health and Sustainability | 
| Online Access: | https://spj.science.org/doi/10.34133/ehs.0282 | 
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| _version_ | 1846123673093668864 | 
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| author | Tianchen Zheng Quan Pan Songyao Huai Chenxing Wang Yan Yan Veerle Van Eetvelde Tim Van de Voorde | 
| author_facet | Tianchen Zheng Quan Pan Songyao Huai Chenxing Wang Yan Yan Veerle Van Eetvelde Tim Van de Voorde | 
| author_sort | Tianchen Zheng | 
| collection | DOAJ | 
| description | Concern for individual perception is essential to enhance greenspace management. Various landscape elements are key factors affecting visitors’ perception engaging in greenspaces. Targeting Belgian public greenspaces, we develop a comprehensive approach to quantify visitors’ perceptions from multiple dimensions. Applying user-generated data and unsupervised machine learning approach, we identified the landscape elements and classified the greenspaces to extract perception rates and detect dominant elements. The satisfaction of every landscape element was then analyzed by the natural language process approach and standardized major axis regression to discover their contributions to overall satisfaction. Furthermore, we calculated and visualized the positive and negative interactions between elements through network analysis. Integrating the perception rates and contributions, inconsistency was observed between the dominant element and the most contributing element. The perception rate of the human element was in an overwhelmingly dominant position, with 2.46. Despite the variations among the 5 greenspace groups, multiple natural elements highly contributed to overall satisfaction, especially animal and vegetation, which achieved contributions higher than 1.2 in most of the groups. Regarding the interactions, stronger negative interactions appeared generally, reaching up to 0.496. The coexistence of natural and artificial elements has a stronger collective effect on greenspace perception, regardless of positive or negative interaction. By providing an understanding of the landscape elements, our findings can assist greenspace planners in identifying key factors of different greenspace categories from various perspectives and support explicit and effective greenspace management. | 
| format | Article | 
| id | doaj-art-f5305b0e23c44f8d8c457cb18d4403fc | 
| institution | Kabale University | 
| issn | 2332-8878 | 
| language | English | 
| publishDate | 2024-01-01 | 
| publisher | American Association for the Advancement of Science (AAAS) | 
| record_format | Article | 
| series | Ecosystem Health and Sustainability | 
| spelling | doaj-art-f5305b0e23c44f8d8c457cb18d4403fc2024-12-13T20:50:30ZengAmerican Association for the Advancement of Science (AAAS)Ecosystem Health and Sustainability2332-88782024-01-011010.34133/ehs.0282Exploring the Perception of Landscape Elements through User-Generated Data to Support Greenspace ManagementTianchen Zheng0Quan Pan1Songyao Huai2Chenxing Wang3Yan Yan4Veerle Van Eetvelde5Tim Van de Voorde6Department of Geography, Ghent University, Ghent 9000, Belgium.Laboratory of Quantitative Forest Ecosystem Science, Department of Environment, Faculty of Bioscience Engineering, Ghent University, Ghent 9000, Belgium.Department of Geography, Ghent University, Ghent 9000, Belgium.State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.Department of Geography, Ghent University, Ghent 9000, Belgium.Department of Geography, Ghent University, Ghent 9000, Belgium.Concern for individual perception is essential to enhance greenspace management. Various landscape elements are key factors affecting visitors’ perception engaging in greenspaces. Targeting Belgian public greenspaces, we develop a comprehensive approach to quantify visitors’ perceptions from multiple dimensions. Applying user-generated data and unsupervised machine learning approach, we identified the landscape elements and classified the greenspaces to extract perception rates and detect dominant elements. The satisfaction of every landscape element was then analyzed by the natural language process approach and standardized major axis regression to discover their contributions to overall satisfaction. Furthermore, we calculated and visualized the positive and negative interactions between elements through network analysis. Integrating the perception rates and contributions, inconsistency was observed between the dominant element and the most contributing element. The perception rate of the human element was in an overwhelmingly dominant position, with 2.46. Despite the variations among the 5 greenspace groups, multiple natural elements highly contributed to overall satisfaction, especially animal and vegetation, which achieved contributions higher than 1.2 in most of the groups. Regarding the interactions, stronger negative interactions appeared generally, reaching up to 0.496. The coexistence of natural and artificial elements has a stronger collective effect on greenspace perception, regardless of positive or negative interaction. By providing an understanding of the landscape elements, our findings can assist greenspace planners in identifying key factors of different greenspace categories from various perspectives and support explicit and effective greenspace management.https://spj.science.org/doi/10.34133/ehs.0282 | 
| spellingShingle | Tianchen Zheng Quan Pan Songyao Huai Chenxing Wang Yan Yan Veerle Van Eetvelde Tim Van de Voorde Exploring the Perception of Landscape Elements through User-Generated Data to Support Greenspace Management Ecosystem Health and Sustainability | 
| title | Exploring the Perception of Landscape Elements through User-Generated Data to Support Greenspace Management | 
| title_full | Exploring the Perception of Landscape Elements through User-Generated Data to Support Greenspace Management | 
| title_fullStr | Exploring the Perception of Landscape Elements through User-Generated Data to Support Greenspace Management | 
| title_full_unstemmed | Exploring the Perception of Landscape Elements through User-Generated Data to Support Greenspace Management | 
| title_short | Exploring the Perception of Landscape Elements through User-Generated Data to Support Greenspace Management | 
| title_sort | exploring the perception of landscape elements through user generated data to support greenspace management | 
| url | https://spj.science.org/doi/10.34133/ehs.0282 | 
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