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学者姓名：洪婷婷
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Abstract ：
Optimizing urban patterns is increasingly recognized as an effective technological strategy to mitigate the urban heat island (UHI) effect. Taking Xiamen City as a case study, this research extracts and quantifies city spatial characteristics from multiple data sources. Key factors influencing the urban thermal environment were integrated into three primary urban pattern elements: Mountain, City, and Sea. The spatial autocorrelation and heterogeneous impacts of these urban pattern elements on the thermal environment were analyzed using Moran's I and Geographically Weighted Regression (GWR) modeling, followed by impact-based zoning using K-means clustering algorithms. The results revealed a significant positive correlation between Mountain and City elements and the thermal environment, whereas Sea elements exhibited a notable cooling effect. Furthermore, each factor demonstrated significant spatial heterogeneity. Based on local GWR regression coefficients and spatial variations in factor intensity and directionality, Xiamen was partitioned into four distinct regulatory zones: City-dominated zones, Sea-dominated zones, Mountain-Sea co-dominated zones, and Comprehensive transitional zones influenced by Mountain-City-Sea interactions. Customized, spatially targeted regulatory strategies were subsequently proposed for each zone. This study provides an innovative methodological framework for targeted, region-specific policy interventions to alleviate urban thermal stress under climate change, thereby contributing to the optimization of future urban planning and promoting sustainable and adaptive development.
Keyword ：
"Mountain-City-Sea" pattern "Mountain-City-Sea" pattern sustainable urban design sustainable urban design urban resilience urban resilience urban thermal environment urban thermal environment
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| GB/T 7714 | Ouyang, Lingyi , Guo, Hao , Song, Xiujin et al. Spatial Impact Dynamics of the "Mountain-City-Sea" Pattern on the Urban Thermal Environment and Adaptive Zoning Regulation [J]. | SUSTAINABILITY , 2025 , 17 (10) . |
| MLA | Ouyang, Lingyi et al. "Spatial Impact Dynamics of the "Mountain-City-Sea" Pattern on the Urban Thermal Environment and Adaptive Zoning Regulation" . | SUSTAINABILITY 17 . 10 (2025) . |
| APA | Ouyang, Lingyi , Guo, Hao , Song, Xiujin , Hong, Tingting . Spatial Impact Dynamics of the "Mountain-City-Sea" Pattern on the Urban Thermal Environment and Adaptive Zoning Regulation . | SUSTAINABILITY , 2025 , 17 (10) . |
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Marine climate significantly influences the spatial morphology of coastal village's streets. However, research on coastal villages lacks spatial parameterization analysis that can cope with the complex climatic environment. Focusing on the coastal village's street in Fuzhou City, China, this paper studies the relationship between street space morphology and the impact of extreme heat and wind conditions. Thermal comfort degree and the average wind speed are main optimization objectives. By using parameterization techniques to establish a dynamic model and conducting multi-objective optimization driven by genetic algorithms, the degree of influence of morphological indicators and climate indicators is revealed. The conclusions of the study indicate that the morphological indicators of the main space have a more significant impact on the climatic environment than the morphological indicators of the interfaces on either side of the street. The influence of thermal comfort indicators on the street space within the climate environment is greater than that of wind speed indicators. This study concludes by proposing a ranking of key morphological indicators along with their optimal intervals for coastal villages adapted to the marine climate. The key morphological indicators, listed in order of importance, include appropriate street widths (2.3-4.3 m), eave height for single-storey buildings (2.0-4.6 m), eave height for double-storey buildings (5.4-7.7 m), eave depth (0.8-1.1 m for brick-timber dwellings and 0.3-0.6 m for masonry dwellings), roof slope (20-28 degrees), entrance space depth (0.8-1.3 m), balcony overhang depth (0.6-0.7 m), colonnade depth (1.5-2.4 m), street orientation (NE-SW) and building depth (3.2-5.0 m). This study provides an empirical reference for climate-adapted village design and renewal.
Keyword ：
Coastal village's Street Coastal village's Street Coupling relationship Coupling relationship Genetic algorithm Genetic algorithm Marine climate Marine climate Multi-objective optimization Multi-objective optimization
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| GB/T 7714 | Zheng, Yuan , Liang, Feng , Zhu, Bifeng et al. Key factors in coastal village's street planning for marine climate adaptation [J]. | SCIENTIFIC REPORTS , 2025 , 15 (1) . |
| MLA | Zheng, Yuan et al. "Key factors in coastal village's street planning for marine climate adaptation" . | SCIENTIFIC REPORTS 15 . 1 (2025) . |
| APA | Zheng, Yuan , Liang, Feng , Zhu, Bifeng , Hong, Tingting , Xu, Danhua . Key factors in coastal village's street planning for marine climate adaptation . | SCIENTIFIC REPORTS , 2025 , 15 (1) . |
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Amidst the rapid global urbanization and economic integration, coastal cities have undergone significant changes in urban spatial patterns. These changes have further worsened the complex urban thermal environment, making it crucial to study the interaction between human-driven development and natural climate systems. To address the insufficient quantification of marine elements in the urban planning of subtropical coastal zones, this study takes Xiamen, a typical deep-water port city, as an example to construct a spatial analysis framework integrating marine boundary layer parameters. This research employs interpolation simulation, atmospheric correction, and other techniques to simulate the inversion of land use and Landsat 8 data, deriving urban morphological elements and Land Surface Temperature (LST) data. These data were then assigned to 500 m grids for analysis. A bivariate spatial auto-correlation model was applied to examine the relationship between urban carbon emission and LST. The study area was categorized based on the influence of marine factors, and the spatial relationships between urban morphological elements and LST were analyzed using a multiscale geographically weighted regression model. Three Xiamen-specific discoveries emerged: (1) the marine exerts a significant thermal mitigation effect on the city, with an average influence range of 7.94 km; (2) the relationship between urban morphology and the thermal environment exhibits notable spatial heterogeneity across different regions; and (3) to mitigate urban thermal environments, connected green corridors should be established in the southern coastal areas of outer districts in regions significantly influenced by the ocean. In areas with less marine influence, spatial complexity should be introduced by disrupting relatively intact blue-green spaces, while regions unaffected by the ocean should focus on increasing green spaces and reducing impervious surfaces and water bodies. These findings directly inform Xiamen's 2035 Master Plan for combating heat island effects in coastal special economic zones, providing transferable metrics for similar maritime cities.
Keyword ：
coastal zones coastal zones marine factors marine factors multiscale geographically weighted regression multiscale geographically weighted regression optimization optimization urban thermal environment urban thermal environment
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| GB/T 7714 | Hong, Tingting , Huang, Xiaohui , Lv, Qinfei et al. Thermal Mitigation in Coastal Cities: Marine and Urban Morphology Effects on Land Surface Temperature in Xiamen [J]. | BUILDINGS , 2025 , 15 (7) . |
| MLA | Hong, Tingting et al. "Thermal Mitigation in Coastal Cities: Marine and Urban Morphology Effects on Land Surface Temperature in Xiamen" . | BUILDINGS 15 . 7 (2025) . |
| APA | Hong, Tingting , Huang, Xiaohui , Lv, Qinfei , Zhao, Suting , Wang, Zeyang , Yang, Yuanchuan . Thermal Mitigation in Coastal Cities: Marine and Urban Morphology Effects on Land Surface Temperature in Xiamen . | BUILDINGS , 2025 , 15 (7) . |
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Urban landscape patterns significantly impact land surface temperature (LST) and the urban heat island (UHI) effect. This study employs the boosted regression tree (BRT) model and variance partitioning analysis to examine the contributions and relationships of two-dimensional and three-dimensional building and vegetation patterns to LST, and their marginal effects at different heights. The results show that the dominant indicators affecting LST differ between buildings and vegetation, with three-dimensional building features being slightly more important than two-dimensional features (percentage of landscape of buildings) and two-dimensional vegetation features (three-dimensional green index) having a greater impact than three-dimensional features. When both buildings and vegetation are considered, building patterns still have significant explanatory power. Building height differences influence each indicator's contribution and marginal effects on LST, with lower-height areas seeing a joint dominance of buildings and vegetation on LST changes, and higher-height areas showing greater impact from vegetation indicators. Increasing the percentage of landscape of vegetation (PLAND_V) provides the best cooling effect in lower-building-height areas, but in higher-building-height areas, the cooling effect weakens, requiring additional vegetation indicators to assist in cooling.
Keyword ：
boosted regression tree (BRT) boosted regression tree (BRT) land surface temperature land surface temperature three-dimensional patterns three-dimensional patterns urban heat island urban heat island urban landscape patterns urban landscape patterns
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| GB/T 7714 | Li, Taojun , Huang, Xiaohui , Guo, Hao et al. Contribution and Marginal Effects of Landscape Patterns on Thermal Environment: A Study Based on the BRT Model [J]. | BUILDINGS , 2024 , 14 (8) . |
| MLA | Li, Taojun et al. "Contribution and Marginal Effects of Landscape Patterns on Thermal Environment: A Study Based on the BRT Model" . | BUILDINGS 14 . 8 (2024) . |
| APA | Li, Taojun , Huang, Xiaohui , Guo, Hao , Hong, Tingting . Contribution and Marginal Effects of Landscape Patterns on Thermal Environment: A Study Based on the BRT Model . | BUILDINGS , 2024 , 14 (8) . |
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Green Infrastructure (GI) has garnered increasing attention from various regions due to its potential to mitigate urban heat island (UHI), which has been exacerbated by global climate change. This study focuses on the central area of Fuzhou city, one of the "furnace" cities, and aims to explore the correlation between the GI pattern and land surface temperature (LST) in the spring and autumn seasons. The research adopts a multiscale approach, starting from the urban scale and using urban geographic spatial characteristics, multispectral remote sensing data, and morphological spatial pattern analysis (MSPA). Significant MSPA elements were tested and combined with LST to conduct a geographic weighted regression (GWR) experiment. The findings reveal that the UHI in the central area of Fuzhou city has a spatial characteristic of "high temperature in the middle and low temperature around," which is coupled with a "central scattered and peripheral concentrated" distribution of GI. This suggests that remote sensing data can effectively be utilised for UHI inversion. Additionally, the study finds that the complexity of GI, whether from the perspective of the overall GI pattern or the classification study based on the proportion of the core area, has an impact on the alleviation of UHI in both seasons. In conclusion, this study underscores the importance of a reasonable layout of urban green infrastructure for mitigating UHI.
Keyword ：
geographic weighted regression geographic weighted regression green infrastructure green infrastructure image analysis image analysis morphological spatial pattern analysis morphological spatial pattern analysis statistical analysis statistical analysis urban heat island urban heat island
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| GB/T 7714 | Hong, Tingting , Huang, Xiaohui , Chen, Guangjian et al. Exploring the spatiotemporal relationship between green infrastructure and urban heat island under multi-source remote sensing imagery: A case study of Fuzhou City [J]. | CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY , 2023 , 8 (4) : 1337-1349 . |
| MLA | Hong, Tingting et al. "Exploring the spatiotemporal relationship between green infrastructure and urban heat island under multi-source remote sensing imagery: A case study of Fuzhou City" . | CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY 8 . 4 (2023) : 1337-1349 . |
| APA | Hong, Tingting , Huang, Xiaohui , Chen, Guangjian , Yang, Yiwei , Chen, Lijia . Exploring the spatiotemporal relationship between green infrastructure and urban heat island under multi-source remote sensing imagery: A case study of Fuzhou City . | CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY , 2023 , 8 (4) , 1337-1349 . |
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该文整理归纳了乡村性的相关研究文献,并结合福建地区的乡愁文化情境和乡村旅游特点,构建了测量游客的乡村性感知量表,进而采用结构方程模型的方法,以福建省的青观顶村和塔下村为例,探讨乡村旅游者在风俗、景观有较大差异的不同乡村中的乡村性感知.研究结果显示,塔下村乡村性感知的相关指标大多优于青观顶村,游客对乡村文化的感知弱于聚落景观、旅游风貌等.基于研究结果,提出了乡村旅游提升文化内涵的相关对策.
Keyword ：
乡愁文化 乡愁文化 乡村性感知 乡村性感知 乡村旅游 乡村旅游
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| GB/T 7714 | 翟诗雨 , 赵庆 , 刘恒丹青 et al. 旅游开发视角下的农村乡村性感知测度研究——以福建典型古村落为例 [J]. | 海峡科学 , 2023 , (7) : 122-128 . |
| MLA | 翟诗雨 et al. "旅游开发视角下的农村乡村性感知测度研究——以福建典型古村落为例" . | 海峡科学 7 (2023) : 122-128 . |
| APA | 翟诗雨 , 赵庆 , 刘恒丹青 , 张宏磊 , 窦文康 , 洪婷婷 . 旅游开发视角下的农村乡村性感知测度研究——以福建典型古村落为例 . | 海峡科学 , 2023 , (7) , 122-128 . |
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Global warming has imposed substantial global negative impacts on different sectors of human societies, such as extreme weather events. In this sense, it is imperative to ascertain whether the rise in global temperature will accelerate carbon emissions simultaneously. The land surface temperature (LST) serves as a common indicator to represent the spatial temperature. In addition, urban areas account for a majority portion of global emissions. To fill this gap, selecting the central urban area of Fuzhou City as a study case, this paper aims to examine the potential correlation between LST and overall carbon emissions, based on the land use and cover change (LUCC) data and nighttime lighting remote sensing data in three years (2012, 2016, and 2020). A spatially explicit distribution model of carbon source is presented in this paper. Based on remote sensing data and land use and cover change data, this model used inverse distance weighting spatial interpolation to calculate urban carbon emissions and retrieve LST. Moreover, the potential statistical correlation between land surface temperature (LST) and urban carbon emissions is explored by both polynomial and spline regressions and a potential positive statistical correlation between LST and carbon emissions is observed in this case.urban carbon emissions generally
Keyword ：
Carbon emissions Carbon emissions Land surface temperature (LST) Land surface temperature (LST) Land use change Land use change Nighttime light data Nighttime light data Spatial interpolation Spatial interpolation
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| GB/T 7714 | Hong, Tingting , Huang, Xiaohui , Zhang, Xiang et al. Correlation modelling between land surface temperatures and urban carbon emissions using multi-source remote sensing data: A case study [J]. | PHYSICS AND CHEMISTRY OF THE EARTH , 2023 , 132 . |
| MLA | Hong, Tingting et al. "Correlation modelling between land surface temperatures and urban carbon emissions using multi-source remote sensing data: A case study" . | PHYSICS AND CHEMISTRY OF THE EARTH 132 (2023) . |
| APA | Hong, Tingting , Huang, Xiaohui , Zhang, Xiang , Deng, Xipeng . Correlation modelling between land surface temperatures and urban carbon emissions using multi-source remote sensing data: A case study . | PHYSICS AND CHEMISTRY OF THE EARTH , 2023 , 132 . |
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建设休闲旅游型美丽乡村对于保护村庄旅游资源、加快产业结构转型、促进农村人口就业、拓宽农民收入渠道、拉动国内旅游消费具有积极意义.该文解析了休闲旅游型美丽乡村建设存在的主要问题,并提出了开展专项性规划、适宜性评价,推进旅游产业链延伸、构建多元投资模式和综合功能提升体系等对策,以期推动美丽乡村的高质量发展,实现乡村经济和农民生活水平的提升.
Keyword ：
乡村建设 乡村建设 美丽乡村 美丽乡村 高质量发展 高质量发展
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| GB/T 7714 | 张宏磊 , 赵庆 , 翟诗雨 et al. 我国休闲旅游型美丽乡村建设存在的问题及其对策 [J]. | 学会 , 2023 , (7) : 34-39 . |
| MLA | 张宏磊 et al. "我国休闲旅游型美丽乡村建设存在的问题及其对策" . | 学会 7 (2023) : 34-39 . |
| APA | 张宏磊 , 赵庆 , 翟诗雨 , 窦文康 , 洪婷婷 . 我国休闲旅游型美丽乡村建设存在的问题及其对策 . | 学会 , 2023 , (7) , 34-39 . |
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传统村落是农耕社会下经过长期历史沉淀形成的人类聚居空间,承载着传统的地域文化传承和人文历史根源.在城镇化建设下,这些传统村落正遭受着不可逆转的破坏,传统村落的生命力正在慢慢逝去.基于传统村落形态特征与村落要素对传统村落进行保护治理,已经成为保护地方人文传承的重要部分.通过对厦门五个省级传统村落的调查分析,总结厦门省级传统村落整体形态布局、空间结构、建筑特征,梳理出厦门省级村落要素,并通过整治研究对乡村的规划整治提出建议.
Keyword ：
厦门省级传统村落 厦门省级传统村落 建筑要素 建筑要素 村落形态 村落形态 空间布局 空间布局
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| GB/T 7714 | 谢珺 , 巫京蔚 , 赖志朋 et al. 厦门省级传统村落形态特征与村落要素研究 [J]. | 建筑与文化 , 2022 , (1) : 261-263 . |
| MLA | 谢珺 et al. "厦门省级传统村落形态特征与村落要素研究" . | 建筑与文化 1 (2022) : 261-263 . |
| APA | 谢珺 , 巫京蔚 , 赖志朋 , 洪婷婷 . 厦门省级传统村落形态特征与村落要素研究 . | 建筑与文化 , 2022 , (1) , 261-263 . |
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基于弹性景观的理论,文章通过对厚美村和莆禧古城两地的各类空间微气候指标的监测,利用样点选取、现场测量及数据分析的方法,将两地的景观空间格局特征进行对比,并对两地村落微气候差异进行分析梳理.结果显示,空间封闭度、植物的郁闭度是影响微气候的主要因子;水体、铺装材质、植物的组合方式是影响微气候的次要因子.
Keyword ：
弹性理念 弹性理念 微气候 微气候 环境监测 环境监测 美丽乡村 美丽乡村
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| GB/T 7714 | 刘梦馨 , 张钰 , 陈璟璇 et al. 基于弹性理念的村落微气候差异性研究 [J]. | 建筑与文化 , 2020 , (10) : 95-97 . |
| MLA | 刘梦馨 et al. "基于弹性理念的村落微气候差异性研究" . | 建筑与文化 10 (2020) : 95-97 . |
| APA | 刘梦馨 , 张钰 , 陈璟璇 , 谭舒月 , 洪婷婷 . 基于弹性理念的村落微气候差异性研究 . | 建筑与文化 , 2020 , (10) , 95-97 . |
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