Assessing the Impact of Waterfront Environments on Public Well-Being Through Digital Twin Technology
The application of digital twin (DT) technology in studying public environmental perception and associated health benefits is emerging, yet most research has focused on static green spaces, providing limited insights into dynamic waterscapes. This study aims to systematically evaluate the effects of...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10843315/ |
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| author | Junjie Luo Zheng Yuan Lingzi Xu Wenhui Xu |
| author_facet | Junjie Luo Zheng Yuan Lingzi Xu Wenhui Xu |
| author_sort | Junjie Luo |
| collection | DOAJ |
| description | The application of digital twin (DT) technology in studying public environmental perception and associated health benefits is emerging, yet most research has focused on static green spaces, providing limited insights into dynamic waterscapes. This study aims to systematically evaluate the effects of waterfront and nonwaterfront environments on public physiological and psychological responses using a DT platform. A high-precision 3-D virtual replica of a suburban park was constructed using UAV oblique photogrammetry and handheld lidar scanning technologies. Real-time environmental data were integrated into the DT using IoT devices, establishing a dynamic link between the digital environment and physical worlds. Participants underwent field tests in both environments, measuring physiological indicators (e.g., heart rate and blood oxygen saturation) and psychological indicators (e.g., pleasure and relaxation). We found that waterfront environments outperformed nonwaterfront environments in terms of relaxation and vitality, while no significant differences were observed between the two environments regarding physiological indicators. In addition, ANCOVA and random forest analyses identified temperature and sunlight intensity as key environmental factors influencing heart rate and psychological well-being. The study reveals specific mechanisms through which different environmental characteristics impact public well-being and demonstrates the DT platform's capabilities in real-time environmental data collection and landscape quantification. These findings provide valuable insights for urban planners and public health policymakers in designing landscapes that enhance urban residents' health and well-being. |
| format | Article |
| id | doaj-art-b1dda442bcfa421f9a309ab3ac54ec60 |
| institution | Kabale University |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-b1dda442bcfa421f9a309ab3ac54ec602025-02-05T00:00:23ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-01184536455310.1109/JSTARS.2025.353076210843315Assessing the Impact of Waterfront Environments on Public Well-Being Through Digital Twin TechnologyJunjie Luo0https://orcid.org/0000-0002-7112-3759Zheng Yuan1Lingzi Xu2https://orcid.org/0009-0006-5798-5754Wenhui Xu3https://orcid.org/0009-0006-4747-8265Zhejiang Province Key Think Tank: Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou, ChinaCollege of Landscape Architecture, Zhejiang A&F University, Hangzhou, ChinaCollege of Landscape Architecture, Zhejiang A&F University, Hangzhou, ChinaCollege of Landscape Architecture, Zhejiang A&F University, Hangzhou, ChinaThe application of digital twin (DT) technology in studying public environmental perception and associated health benefits is emerging, yet most research has focused on static green spaces, providing limited insights into dynamic waterscapes. This study aims to systematically evaluate the effects of waterfront and nonwaterfront environments on public physiological and psychological responses using a DT platform. A high-precision 3-D virtual replica of a suburban park was constructed using UAV oblique photogrammetry and handheld lidar scanning technologies. Real-time environmental data were integrated into the DT using IoT devices, establishing a dynamic link between the digital environment and physical worlds. Participants underwent field tests in both environments, measuring physiological indicators (e.g., heart rate and blood oxygen saturation) and psychological indicators (e.g., pleasure and relaxation). We found that waterfront environments outperformed nonwaterfront environments in terms of relaxation and vitality, while no significant differences were observed between the two environments regarding physiological indicators. In addition, ANCOVA and random forest analyses identified temperature and sunlight intensity as key environmental factors influencing heart rate and psychological well-being. The study reveals specific mechanisms through which different environmental characteristics impact public well-being and demonstrates the DT platform's capabilities in real-time environmental data collection and landscape quantification. These findings provide valuable insights for urban planners and public health policymakers in designing landscapes that enhance urban residents' health and well-being.https://ieeexplore.ieee.org/document/10843315/Blue spacedigital twinon-site perceptionrandom forestunmanned aerial vehicle |
| spellingShingle | Junjie Luo Zheng Yuan Lingzi Xu Wenhui Xu Assessing the Impact of Waterfront Environments on Public Well-Being Through Digital Twin Technology IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Blue space digital twin on-site perception random forest unmanned aerial vehicle |
| title | Assessing the Impact of Waterfront Environments on Public Well-Being Through Digital Twin Technology |
| title_full | Assessing the Impact of Waterfront Environments on Public Well-Being Through Digital Twin Technology |
| title_fullStr | Assessing the Impact of Waterfront Environments on Public Well-Being Through Digital Twin Technology |
| title_full_unstemmed | Assessing the Impact of Waterfront Environments on Public Well-Being Through Digital Twin Technology |
| title_short | Assessing the Impact of Waterfront Environments on Public Well-Being Through Digital Twin Technology |
| title_sort | assessing the impact of waterfront environments on public well being through digital twin technology |
| topic | Blue space digital twin on-site perception random forest unmanned aerial vehicle |
| url | https://ieeexplore.ieee.org/document/10843315/ |
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