The greener, the richer, the happier?——Spatial distribution and coupling analysis of urban green space and residents’ emotion based on social media data
The emotional well-being and welfare of urban residents are intricately linked to their surrounding living environments. Urban development in China has progressively placed greater emphasis on the human settlement environment. And has introduced policies such as urban regeneration and low-carbon com...
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| Language: | English |
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Elsevier
2025-08-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25006843 |
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| author | Zexun Li Lihui Hu Alin Lin Jiarui Chen Yue Xu |
| author_facet | Zexun Li Lihui Hu Alin Lin Jiarui Chen Yue Xu |
| author_sort | Zexun Li |
| collection | DOAJ |
| description | The emotional well-being and welfare of urban residents are intricately linked to their surrounding living environments. Urban development in China has progressively placed greater emphasis on the human settlement environment. And has introduced policies such as urban regeneration and low-carbon community construction, which are aimed at upgrading urban quality and improving the well-being of the people. An increasing amount of attention is being drawn by users, managers, and designers towards the design of urban green spaces that take into account the emotional considerations of the residents. The explosive growth of social media has presented novel opportunities to explore the correlation between residents’ emotions and urban green spaces. Research on the traditional correlation between urban green spaces and residents’ emotions has been constrained by limited individual sample sizes, resulting in a generally narrow research scope and a relatively homogeneous set of factors considered. This study, taking the urban area of Hangzhou as a case study, investigates the relationship between NDVI, residential prices, and emotional value at the city scale. Through the application of the Coupling Coordination Degree Model and the Mediation Effect Model, the study specifically focuses on the efficiency and fairness of urban green space distribution. The findings reveal that the emotional value within the study area spans from −8 to 19, with positive emotions comprising 49.73% of the total. However, these emotions exhibit a scattered spatial distribution. The mediation effect analysis reveals that an increase in NDVI by 1% leads to a 0.178% growth in emotional value, while a rise by 1% in residential prices decreases in emotional value by 0.109%. By leveraging social media data as evidence has provided a fresh research perspective on the developmental trajectory of green spaces. It has also discovered that enhancing the quality and functionality of green spaces can boost urban well-being, offering valuable guidance to planners in the context of park city. |
| format | Article |
| id | doaj-art-641e3e3d3761419ea8d9aa611fb3ca6d |
| institution | Kabale University |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-641e3e3d3761419ea8d9aa611fb3ca6d2025-08-20T03:29:09ZengElsevierEcological Indicators1470-160X2025-08-0117711375410.1016/j.ecolind.2025.113754The greener, the richer, the happier?——Spatial distribution and coupling analysis of urban green space and residents’ emotion based on social media dataZexun Li0Lihui Hu1Alin Lin2Jiarui Chen3Yue Xu4Department of Landscape Architecture, School of Architectural Engineering, Zhejiang Sci-Tech University, PR ChinaDepartment of Landscape Architecture, School of Architectural Engineering, Zhejiang Sci-Tech University, PR China; Institute of Landscape Architecture Technology and Theory, Zhejiang Sci-Tech University, PR China; Corresponding author at: No. 928, 2nd Avenue, Qiantang District, 310018 Hangzhou City, PR China.Department of Landscape Architecture, School of Architectural Engineering, Zhejiang Sci-Tech University, PR China; Institute of Architectural Landscape Planning and Design, Zhejiang Sci-Tech University, PR ChinaDepartment of Landscape Architecture, School of Architectural Engineering, Zhejiang Sci-Tech University, PR ChinaDepartment of Landscape Architecture, School of Architectural Engineering, Zhejiang Sci-Tech University, PR ChinaThe emotional well-being and welfare of urban residents are intricately linked to their surrounding living environments. Urban development in China has progressively placed greater emphasis on the human settlement environment. And has introduced policies such as urban regeneration and low-carbon community construction, which are aimed at upgrading urban quality and improving the well-being of the people. An increasing amount of attention is being drawn by users, managers, and designers towards the design of urban green spaces that take into account the emotional considerations of the residents. The explosive growth of social media has presented novel opportunities to explore the correlation between residents’ emotions and urban green spaces. Research on the traditional correlation between urban green spaces and residents’ emotions has been constrained by limited individual sample sizes, resulting in a generally narrow research scope and a relatively homogeneous set of factors considered. This study, taking the urban area of Hangzhou as a case study, investigates the relationship between NDVI, residential prices, and emotional value at the city scale. Through the application of the Coupling Coordination Degree Model and the Mediation Effect Model, the study specifically focuses on the efficiency and fairness of urban green space distribution. The findings reveal that the emotional value within the study area spans from −8 to 19, with positive emotions comprising 49.73% of the total. However, these emotions exhibit a scattered spatial distribution. The mediation effect analysis reveals that an increase in NDVI by 1% leads to a 0.178% growth in emotional value, while a rise by 1% in residential prices decreases in emotional value by 0.109%. By leveraging social media data as evidence has provided a fresh research perspective on the developmental trajectory of green spaces. It has also discovered that enhancing the quality and functionality of green spaces can boost urban well-being, offering valuable guidance to planners in the context of park city.http://www.sciencedirect.com/science/article/pii/S1470160X25006843Urban green spaceResidential pricesSocial media dataNDVIEmotion analysisSocial well-being |
| spellingShingle | Zexun Li Lihui Hu Alin Lin Jiarui Chen Yue Xu The greener, the richer, the happier?——Spatial distribution and coupling analysis of urban green space and residents’ emotion based on social media data Ecological Indicators Urban green space Residential prices Social media data NDVI Emotion analysis Social well-being |
| title | The greener, the richer, the happier?——Spatial distribution and coupling analysis of urban green space and residents’ emotion based on social media data |
| title_full | The greener, the richer, the happier?——Spatial distribution and coupling analysis of urban green space and residents’ emotion based on social media data |
| title_fullStr | The greener, the richer, the happier?——Spatial distribution and coupling analysis of urban green space and residents’ emotion based on social media data |
| title_full_unstemmed | The greener, the richer, the happier?——Spatial distribution and coupling analysis of urban green space and residents’ emotion based on social media data |
| title_short | The greener, the richer, the happier?——Spatial distribution and coupling analysis of urban green space and residents’ emotion based on social media data |
| title_sort | greener the richer the happier spatial distribution and coupling analysis of urban green space and residents emotion based on social media data |
| topic | Urban green space Residential prices Social media data NDVI Emotion analysis Social well-being |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X25006843 |
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