Exploring Optimisation Pathways for Underground Space Quality Under the Synergy of Multidimensional Perception and Environmental Parameters
With the acceleration of urbanisation and the increased utilisation of underground space, providing a comfortable and healthy environment in public underground areas has emerged as a significant research topic. This study constructs a comprehensive decision-making framework for underground space env...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/2/204 |
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| author | Tianning Yao Liang Sun Lin Geng Yao Xu Ziqi Xu Kuntao Hu Xing Chen Pan Liao Jin Wang |
| author_facet | Tianning Yao Liang Sun Lin Geng Yao Xu Ziqi Xu Kuntao Hu Xing Chen Pan Liao Jin Wang |
| author_sort | Tianning Yao |
| collection | DOAJ |
| description | With the acceleration of urbanisation and the increased utilisation of underground space, providing a comfortable and healthy environment in public underground areas has emerged as a significant research topic. This study constructs a comprehensive decision-making framework for underground space environments by integrating human perception evaluations with physical environmental parameters. Using Shanghai Wujiaochang as a case study, field data collection and questionnaire surveys were conducted to evaluate key factors such as temperature (22.63 °C–26.39 °C), wind speed (0.26 m/s–0.67 m/s), and sound levels (59.68 dB–61.21 dB) for commercial-oriented spaces, and 63.15 dB–75.45 dB for transport-oriented spaces) to users’ perceived experiences. The appropriate ranges for key parameters were identified through single-indicator fitted regression analysis and the XGBoost machine-learning model, revealing the relationship between environmental parameters and human perception. The results indicated significant differences in user needs across various functional spaces, with commercial-oriented areas emphasising environmental attractiveness and comfort, while transport-oriented spaces prioritised access efficiency and safety. This study provided quantitative design benchmarks for underground spaces’ dynamic regulation and sustainable management, proposing a precise and adaptive environmental decision-making framework that combines physical parameters with user-perception feedback. |
| format | Article |
| id | doaj-art-ccbf0ea2fdb345c28c9b0c88da7702fa |
| institution | Kabale University |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-ccbf0ea2fdb345c28c9b0c88da7702fa2025-01-24T13:26:10ZengMDPI AGBuildings2075-53092025-01-0115220410.3390/buildings15020204Exploring Optimisation Pathways for Underground Space Quality Under the Synergy of Multidimensional Perception and Environmental ParametersTianning Yao0Liang Sun1Lin Geng2Yao Xu3Ziqi Xu4Kuntao Hu5Xing Chen6Pan Liao7Jin Wang8School of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Architecture and Design, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Architecture, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Civil Engineering, Yancheng Institute of Technology, Yancheng 224051, ChinaWith the acceleration of urbanisation and the increased utilisation of underground space, providing a comfortable and healthy environment in public underground areas has emerged as a significant research topic. This study constructs a comprehensive decision-making framework for underground space environments by integrating human perception evaluations with physical environmental parameters. Using Shanghai Wujiaochang as a case study, field data collection and questionnaire surveys were conducted to evaluate key factors such as temperature (22.63 °C–26.39 °C), wind speed (0.26 m/s–0.67 m/s), and sound levels (59.68 dB–61.21 dB) for commercial-oriented spaces, and 63.15 dB–75.45 dB for transport-oriented spaces) to users’ perceived experiences. The appropriate ranges for key parameters were identified through single-indicator fitted regression analysis and the XGBoost machine-learning model, revealing the relationship between environmental parameters and human perception. The results indicated significant differences in user needs across various functional spaces, with commercial-oriented areas emphasising environmental attractiveness and comfort, while transport-oriented spaces prioritised access efficiency and safety. This study provided quantitative design benchmarks for underground spaces’ dynamic regulation and sustainable management, proposing a precise and adaptive environmental decision-making framework that combines physical parameters with user-perception feedback.https://www.mdpi.com/2075-5309/15/2/204underground spacemultidimensional perceptionenvironmental regulationmachine learningsuitability parameters |
| spellingShingle | Tianning Yao Liang Sun Lin Geng Yao Xu Ziqi Xu Kuntao Hu Xing Chen Pan Liao Jin Wang Exploring Optimisation Pathways for Underground Space Quality Under the Synergy of Multidimensional Perception and Environmental Parameters Buildings underground space multidimensional perception environmental regulation machine learning suitability parameters |
| title | Exploring Optimisation Pathways for Underground Space Quality Under the Synergy of Multidimensional Perception and Environmental Parameters |
| title_full | Exploring Optimisation Pathways for Underground Space Quality Under the Synergy of Multidimensional Perception and Environmental Parameters |
| title_fullStr | Exploring Optimisation Pathways for Underground Space Quality Under the Synergy of Multidimensional Perception and Environmental Parameters |
| title_full_unstemmed | Exploring Optimisation Pathways for Underground Space Quality Under the Synergy of Multidimensional Perception and Environmental Parameters |
| title_short | Exploring Optimisation Pathways for Underground Space Quality Under the Synergy of Multidimensional Perception and Environmental Parameters |
| title_sort | exploring optimisation pathways for underground space quality under the synergy of multidimensional perception and environmental parameters |
| topic | underground space multidimensional perception environmental regulation machine learning suitability parameters |
| url | https://www.mdpi.com/2075-5309/15/2/204 |
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