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学者姓名：洪婷婷
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Abstract ：
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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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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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. © 2024 by the authors.
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, T. , Huang, X. , Guo, H. 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, T. 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, T. , Huang, X. , Guo, H. , Hong, T. . 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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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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绿色基础设施(GI)是缓解城市热环境的主要载体。以福州市为研究对象，从城市尺度出发，立足城市地理空间特征，应用形态学空间格局分析(MSPA)法与网格法，研究春、秋两季GI格局与地表温度(T)的相关性。提取显著性MSPA要素，与T展开地理加权回归(GWR)实验，分析热缓解作用强的要素及其空间异质性特征。结果表明：福州市中心城区“中部温度高四周温度低”的热环境空间特征与绿色基础设施的“中部分散四周集中”存在耦合关系；从整体的GI格局上看，在春、秋两季均表现出GI越复杂，热缓解能力越强。根据核心区占比将绿地进行分类研究发现：类型Ⅰ(核心区占比≥70%)，在西南侧增加核心区规模热缓解效果最优；类型Ⅱ(30%≤核心区占比<70%)，内部复杂的土地类型抑制了MSPA要素的降温能力；类型Ⅲ(核心区占比<30%)，秋季MSPA要素的降温能力强于春季。从城市空间形态异质性角度讨论MSPA要素与热环境关系，将结果落位在地理空间上，为完善城市韧性设施规划提供一定参考。
Keyword ：
地理加权回归 地理加权回归 城市热环境 城市热环境 形态学空间格局分析 形态学空间格局分析 绿色基础设施量 绿色基础设施量 风景园林 风景园林
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| GB/T 7714 | 洪婷婷 , 黄晓辉 , 邓西鹏 et al. 基于MSPA的城市绿色基础设施与热环境关系研究——以福州市中心城区为例 [J]. | 中国园林 , 2023 , 39 (10) : 97-103 . |
| MLA | 洪婷婷 et al. "基于MSPA的城市绿色基础设施与热环境关系研究——以福州市中心城区为例" . | 中国园林 39 . 10 (2023) : 97-103 . |
| APA | 洪婷婷 , 黄晓辉 , 邓西鹏 , 杨义炜 , 唐翔 . 基于MSPA的城市绿色基础设施与热环境关系研究——以福州市中心城区为例 . | 中国园林 , 2023 , 39 (10) , 97-103 . |
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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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【目的】传统村落集中连片整治能最大限度地保证传统文化的完整性。为了探寻传统村落保护的有效途径，应以集群的思想指导传统村落的良性发展。【方法】以福建省漳州市传统村落为例，结合当地地理文化特征，选取空间邻近、地貌相似、文化趋同、民居同构4个要素，应用ArcGIS Pro空间统计分析工具，对113个传统村落进行单要素聚类和集群识别与分析，划定集群区域。【结果】漳州市传统村落均显示出较为明显的聚类特征，并可识别出全要素集群三大类共31个村，特色要素集群七大类44个村和潜力集群38个村。【结论】传统村落集群识别能够高效地对量大面广的传统村落进行聚类；传统村落集群保护能够跳脱出村落单体保护产生的不可预见的文化破坏和流失，从整体的角度对传统村落资源进行统筹，有利于传统村落文化资源的保护和传承。
Keyword ：
传统村落 传统村落 保护策略 保护策略 漳州市 漳州市 聚类 聚类 连片整治 连片整治 集群 集群
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| GB/T 7714 | 洪婷婷 , 赖志朋 , 黄晓辉 et al. 基于聚类分析的传统村落集群识别及保护途径——以漳州市为例 [J]. | 风景园林 , 2023 , 30 (09) : 121-129 . |
| MLA | 洪婷婷 et al. "基于聚类分析的传统村落集群识别及保护途径——以漳州市为例" . | 风景园林 30 . 09 (2023) : 121-129 . |
| APA | 洪婷婷 , 赖志朋 , 黄晓辉 , 郑媛 . 基于聚类分析的传统村落集群识别及保护途径——以漳州市为例 . | 风景园林 , 2023 , 30 (09) , 121-129 . |
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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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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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