Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Land Surveying and Geo-Informatics | en_US |
| dc.contributor.advisor | Weng, Qihao (LSGI) | en_US |
| dc.creator | Liu, Yu | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/13866 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | The interaction between buildings, green space, and urban thermal environments in a high-density city | en_US |
| dcterms.abstract | Rapid urbanization dramatically changed the land surface properties, including the increase of impervious surfaces and encroachment of natural land, and thereby induced substantial thermal environment problems. Buildings and green space within built-up areas are crucial components of urban ecosystems and significantly influence the urban thermal environments. Therefore, investigating the interaction between buildings, green space, and urban thermal environment is crucial for deepening the understanding of urban ecosystems and promoting the mitigation of heat-related environmental problems. | en_US |
| dcterms.abstract | However, due to the complexity of the interactions between buildings, green space, and urban thermal environment, there are still several unresolved issues: (1) The influence of building morphology, particularly three-dimensional building morphology, on vegetation greening has not been fully explored; (2) Previous studies have mostly examined how the size, shape, and complexity of green space affect urban thermal environment, while other important factors like height and green volume, which also play an essential role in cooling, have been overlooked on the macroscale and mesoscale; (3) Combined direct and indirect effect of 2D/3D building and green space on thermal environment have not yet been investigated. | en_US |
| dcterms.abstract | Based on remote sensing data and LiDAR data, herein we analyzed interactions among buildings, green space, and urban thermal environments from both the 2D and 3D perspectives. This study first examined how 2D and 3D urban morphological indexes influence vegetation greening in Hong Kong by employing Pearson correlation analysis and the boosted regression tree (BRT) model, with a focus on urban-rural differences. Then, we further investigated how 2D/3D building and green space affect urban thermal environment across multiple spatial scales employing stepwise regression and path analysis, both directly and indirectly. | en_US |
| dcterms.abstract | In assessing the impact of 2D and 3D building morphology on vegetation greening trends, results indicated a general increase in vegetation greenness from 2010 to 2020, with a slope of 0.0024, and more pronounced greening observed in rural areas. Although the correlation between building morphology and vegetation greening was relatively weak, it remained statistically significant. The impact varied substantially between urban and rural areas and exhibited strong nonlinearity, with 3D indices exerting a greater influence than 2D indexes. The sky view factor (SVF) was the main driver in urban areas, accounting for 23.60 %, while the landscape shape index (LSI) also contributed a significant amount to rural areas (27.30%). According to marginal trends, mean building height (MBH) and SVF changed from negative to positive results. In contrast, the edge density (ED) and landscape patch index (LPI) shifted in the opposite direction. The inflection points of marginal curves of these indices varied with urban and rural areas. The landscape shape index (LSI) revealed a complex influence that changed from a negative-positive-negative pattern in urban areas and displayed a negative-to-positive pattern in rural areas. Building volume density (BVD) changed from beneficial to detrimental in urban settings, while the pattern for rural areas was the opposite. | en_US |
| dcterms.abstract | In analyzing the direct and indirect impacts of 2D/3D buildings and green space morphology on the thermal environment, we observed significant spatial heterogeneity and scale differences in summer LST. 2D/3D buildings and green spaces effectively enhance the explanatory power of LST variations. Notably, at the district scale, this enhancement in explanatory power was observed to be 0.038. The explanatory power of 3D indicators was found to exceed that of 2D indicators. Our analysis found that terrain had a direct negative influence on LST and concurrently exerted a stronger indirect negative effect by influencing 2D/3D buildings and green spaces, resulting in a total negative effect ranging from -0.698 to -0.615. 2D buildings not only positively affected LST but also further enhanced LST by influencing 2D/3D green spaces. On the other hand, 3D buildings negatively impacted LST and, at the pixel scale, intensified this negative effect by influencing 2D/3D green spaces. Both 2D and 3D green spaces were found to have a negative effect on LST, with the impact of 3D green space being insignificant at the district scale. The identified complicated interaction between 2D/3D buildings, green space, and urban thermal environment would enhance our understanding of the interaction mechanism of the urban ecosystem, which can also inform 2D/3D urban morphology optimization and UHI mitigation toward sustainable development. | en_US |
| dcterms.extent | xviii, 147 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2025 | en_US |
| dcterms.educationalLevel | M.Phil. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.accessRights | open access | en_US |
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