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学者姓名：陈顺和
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【目的】构建生态与海洋文化复合型景观网络并进行整体性保护，旨在促进生态环境与海洋文化耦合协调，推动生态与海洋文化景观资源优化配置。【方法】以福建省泉州市为例，综合运用形态学空间格局分析（morphological spatial pattern analysis, MSPA）、景观连接度评价、最小累积阻力（minimum cumulative resistance, MCR）模型、K-means聚类算法、Linkage Mapper联动路径工具、文化景观信息传播模型，构建研究区的生态和海洋文化网络空间格局，并耦合形成复合型景观网络；构建泉州生态与海洋文化复合型景观网络耦合协调度评价指标体系，并计算生态与文化功能的耦合协调度。【结果】在泉州生态与海洋文化复合型景观网络中，廊道共62条，总长1 524.55 km。耦合协调度评价结果显示复合型景观网络中1条廊道生态与文化功能处于严重失调，16条处于中度失调，32条处于基本协调，11条处于中度协调，2条处于优质协调。【结论】结合泉州市国土规划，构建了及优化生态与海洋文化复合型景观网络。在复合型景观网络的优化上，重点修复了沿海地区及中心城区网络生态失调问题，将原先以文化功能为主导的网络转变为兼具生态—文化双功能的网络体系，为支撑泉州生态和文化整体性保护及可持续发展提供依据。
Keyword ：
复合型景观网络 复合型景观网络 文化景观信息传播模型 文化景观信息传播模型 泉州 泉州 海洋文化 海洋文化 耦合协调模型 耦合协调模型
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| GB/T 7714 | 陆东芳 , 郑雅如 , 韩天腾 et al. 福建省泉州生态与海洋文化复合型景观网络构建及整体性保护 [J]. | 风景园林 , 2025 , 32 (07) : 114-122 . |
| MLA | 陆东芳 et al. "福建省泉州生态与海洋文化复合型景观网络构建及整体性保护" . | 风景园林 32 . 07 (2025) : 114-122 . |
| APA | 陆东芳 , 郑雅如 , 韩天腾 , 陈顺和 . 福建省泉州生态与海洋文化复合型景观网络构建及整体性保护 . | 风景园林 , 2025 , 32 (07) , 114-122 . |
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Recreation spaces, as vital components of urban environments, support entertainment, relaxation, and social interaction. As a World Heritage city, Macao faces distinct challenges such as land scarcity, ecological pressures, and traffic congestion. This study identifies sustainable design strategies for recreation spaces to inform Macao's urban development. Grounded in ecological perception theory, GIS technology is employed to analyze the spatial distribution characteristics of recreation spaces, while grounded theory is applied to 27 online travel narratives to extract key factors influencing tourist satisfaction. A theoretical model of influencing factors and satisfaction pathways is developed and empirically validated using structured questionnaires and structural equation modeling (SEM). The results show that Macao's recreation spaces exhibit a pattern of both concentration and dispersion. Three primary dimensions-physical environment, environmental perception, and cultural esthetic elements-are found to influence recreational satisfaction significantly and positively. Furthermore, a chain mediating effect among these dimensions is identified, revealing that the physical environment impacts satisfaction indirectly through environmental perception and cultural esthetics. This study offers practical guidance for the continuous enhancement of Macao's recreational spaces and proposes a novel integrated model combining ecological, perceptual, and cultural esthetic perspectives. The findings also provide valuable theoretical insights for the planning and optimization of recreational spaces in other urban settings. This study provides not only practical design guidance for the continuous improvement of recreational spaces in Macao but also a new model combining ecological, perceptual and cultural esthetic perspectives for the research and planning of recreational spaces in other cities.
Keyword ：
ecological perception theory ecological perception theory grounded theory grounded theory Macao Macao recreation space recreation space sustainability sustainability
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| GB/T 7714 | Lai, YaFeng , Wang, Pohsun , Wen, Kuo-Hsun et al. Study on the Sustainability Design of Recreation Spaces in Macao Based on Ecological Perception Theory [J]. | SAGE OPEN , 2025 , 15 (3) . |
| MLA | Lai, YaFeng et al. "Study on the Sustainability Design of Recreation Spaces in Macao Based on Ecological Perception Theory" . | SAGE OPEN 15 . 3 (2025) . |
| APA | Lai, YaFeng , Wang, Pohsun , Wen, Kuo-Hsun , Chen, ShunHe . Study on the Sustainability Design of Recreation Spaces in Macao Based on Ecological Perception Theory . | SAGE OPEN , 2025 , 15 (3) . |
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Urban expansion will squeeze the green space system and cause ecological fragmentation. The question of how to expand cities more scientifically and build eco-cities has become an important topic of sustainable urban construction. This paper takes Shanghai as a research case. A deep neural network combined with an attention mechanism model measures the comprehensive level of the built environment and green space pattern of urbanization and quantitatively analyzes the coordinated relationship between the two using the coupled degree of coordination model. Subsequently, the K-Means clustering model was used for spatial clustering to determine the governance and construction directions for different spatial areas and was, finally, combined with the LightGBM model plus SHAP to analyze the importance and threshold effect of the indicators on the degree of coupled coordination. The results of the study show that (1) the core area of the city shows a high state of coordination, indicating that Shanghai has a better green space construction in the central city, but the periphery shows different imbalances; (2) three different kinds of areas are identified, and different governance measures as well as the direction of urbanization are proposed according to the characteristics of the different areas; and (3) this study finds that the structural indicators of the built environment, such as Average Compactness, Weighted Average Height, and Land Use Diversity, have a significant influence on the coupling coordination degree and have different response thresholds. The results of the study provide theoretical support for regional governance and suggestions for the direction of urban expansion for sustainable urbanization.
Keyword ：
machine learning machine learning spatial coupling characteristics spatial coupling characteristics spatial governance spatial governance sustainable cities sustainable cities urban sprawl urban sprawl
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| GB/T 7714 | Chen, Rongxiang , Chen, Zhiyuan , Xie, Mingjing et al. Exploring the Spatial Coupling Characteristics and Influence Mechanisms of Built Environment and Green Space Pattern: The Case of Shanghai [J]. | SUSTAINABILITY , 2025 , 17 (15) . |
| MLA | Chen, Rongxiang et al. "Exploring the Spatial Coupling Characteristics and Influence Mechanisms of Built Environment and Green Space Pattern: The Case of Shanghai" . | SUSTAINABILITY 17 . 15 (2025) . |
| APA | Chen, Rongxiang , Chen, Zhiyuan , Xie, Mingjing , Shi, Rongrong , Chen, Kaida , Chen, Shunhe . Exploring the Spatial Coupling Characteristics and Influence Mechanisms of Built Environment and Green Space Pattern: The Case of Shanghai . | SUSTAINABILITY , 2025 , 17 (15) . |
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In recent years, the impact of landscape environments on tourists' emotions has increasingly become a significant topic in sustainable tourism and urban planning research. However, studies on the relationship between multidimensional environmental features of Coastal National Parks and tourists' emotions remain relatively limited. This study integrates machine learning and multi-source data to systematically explore how the landscape environments of Fujian's Coastal National Parks influence tourists' emotional fluctuations. Using natural language processing (NLP) techniques, sentiment indices were calculated from social media textual data, while semantic segmentation models and image analysis were employed to extract environmental feature data. The Light Gradient Boosting Machine (LightGBM) model and SHapley Additive exPlanations (SHAP) method were used to evaluate the relative importance of different environmental variables on tourists' emotions, with the findings visualized using ArcMap. The results indicate: (1) Over the past five years, 87.06% of emotions were positive, with the highest sentiment indices observed in the Fuyao Islands, Changle, and Xiamen. (2) Greenness (0.0-0.2) and aquatic rate (0.1-0.15) had the most significant positive impacts on emotions, whereas transportation proportion and paving degree had relatively minor effects. This study provides a theoretical basis for the sustainable development of Coastal National Parks and offers practical insights for optimizing landscape planning to enhance tourists' emotional experiences.
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| GB/T 7714 | Lu, Zekun , Chen, Shunhe , Qiu, Chao et al. Exploring the impact of landscape environments on tourists' emotional fluctuations in Fujian's Coastal National Parks using machine learning [J]. | PLOS ONE , 2025 , 20 (8) . |
| MLA | Lu, Zekun et al. "Exploring the impact of landscape environments on tourists' emotional fluctuations in Fujian's Coastal National Parks using machine learning" . | PLOS ONE 20 . 8 (2025) . |
| APA | Lu, Zekun , Chen, Shunhe , Qiu, Chao , Chen, Rongxiang , Lin, Yuchen , Lu, Yichen et al. Exploring the impact of landscape environments on tourists' emotional fluctuations in Fujian's Coastal National Parks using machine learning . | PLOS ONE , 2025 , 20 (8) . |
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Rapid urbanisation has exacerbated habitat fragmentation and degradation, necessitating urgent improvements to urban habitat quality. However, most current studies lack an analysis of spatial differences in local ecological quality, particularly a systematic exploration of how different urban spatial characteristics drive such differences. Based on this, we use Shanghai as an example, employing the InVEST model to assess habitat quality, and utilise CatBoost machine learning models and the SHAP model to reveal the specific spatial distribution characteristics of the habitat quality spatial differences from a morphological perspective, as well as its response to changes in urban spatial form factors. The results indicate that (1) urban habitat quality exhibits significant spatial differences, with quality differences persisting even within regions of the same habitat grade, demonstrating complex spatial characteristics; (2) density-related indicators such as building density and population density have a significant negative impact on the habitat quality spatial difference value, while configuration-related indicators such as the water ratio and Normalised Difference Vegetation Index have a significant positive effect, with Population Density contributing the most among all variables (20.74%); and (3) the variables exhibit significant nonlinearity and threshold effects. For example, when building density exceeds 0.05, the positive impact becomes a negative impact. The interactions between variables further reveal the multi-dimensional coupling mechanisms underlying habitat quality performance. This study contributes to a deeper understanding of the spatial differences of urban habitat quality, providing scientific support for urban ecological zoning management, the optimised allocation of green space resources, and differentiated spatial governance while offering methodological and decision-making references for the construction of high-quality ecological cities.
Keyword ：
habitat quality habitat quality machine learning machine learning nonlinear effects nonlinear effects Shapley additive explanation Shapley additive explanation spatial residuals spatial residuals urban ecosystem services urban ecosystem services urban spatial form urban spatial form
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| GB/T 7714 | Chen, Rongxiang , Chen, Zhiyuan , Xie, Mingjing et al. Exploring Spatial Differences in Habitat Quality and Their Response to Urban Spatial Form, Using Shanghai as an Example [J]. | FORESTS , 2025 , 16 (8) . |
| MLA | Chen, Rongxiang et al. "Exploring Spatial Differences in Habitat Quality and Their Response to Urban Spatial Form, Using Shanghai as an Example" . | FORESTS 16 . 8 (2025) . |
| APA | Chen, Rongxiang , Chen, Zhiyuan , Xie, Mingjing , Shi, Rongrong , Lin, Xin , Chen, Kaida et al. Exploring Spatial Differences in Habitat Quality and Their Response to Urban Spatial Form, Using Shanghai as an Example . | FORESTS , 2025 , 16 (8) . |
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本研究选取台湾省957个涉漳聚落作为研究对象，旨在量化分析漳州人移垦台湾后形成的聚落空间格局及其影响因素，进而揭示漳州移民对台湾地区开发与发展的历史规律。研究中运用Arc GIS软件，对聚落的空间密度、空间关联性进行分析，并探讨影响因素与聚落空间分布的特征。结果显示：台湾涉漳聚落的空间分布呈现出明显的集聚型模式，总体上表现为“整体集聚，局部分散且分布不均”的空间格局。聚落分布受到多种因素的影响：地理环境方面，聚落多位于海拔200至500米、坡度小于30°且临近水系的平坦地区；社会环境因素方面，政治、经济以及地方械斗等均推动了聚落从移垦到稳定发展的过程；族群文化因素方面，宗族联系对聚落形成与发展具有积极影响。研究结论表明，漳州人移垦台湾的历史过程中，聚落空间格局的形成与发展受到地理环境、社会环境和族群文化等多重因素的共同作用，这些因素共同塑造了台湾涉漳聚落独特的空间分布特征。
Keyword ：
漳州籍移民 漳州籍移民 空间分布 空间分布 聚落 聚落 闽台文化 闽台文化
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| GB/T 7714 | 吴杨敏 , 陈荣祥 , 卢姗 et al. 漳州籍移台聚落空间分布特征及其影响因素 [J]. | 福建史志 , 2025 , 11 (01) : 11-20,91 . |
| MLA | 吴杨敏 et al. "漳州籍移台聚落空间分布特征及其影响因素" . | 福建史志 11 . 01 (2025) : 11-20,91 . |
| APA | 吴杨敏 , 陈荣祥 , 卢姗 , 郑泽彬 , 陈顺和 . 漳州籍移台聚落空间分布特征及其影响因素 . | 福建史志 , 2025 , 11 (01) , 11-20,91 . |
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采用量化方法探索建瓯古城区的空间形态特征，并提出城市空间传承保护的建议。通过对建瓯古城区进行空间句法的定量分析，从集成度、可选择度和可理解度三个方面揭示了建瓯古城区空间形态的特点。同时结合历史资料和实地调研，分析了建瓯古城区的独特优势，并提出了相应的保护建议。
Keyword ：
历史文化名城 历史文化名城 建瓯古城 建瓯古城 空间句法 空间句法 空间形态 空间形态
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| GB/T 7714 | 吴杨敏 , 卢姗 , 陈荣祥 et al. 基于空间句法的建瓯古城空间形态特征研究 [J]. | 建材技术与应用 , 2025 , 6 (02) : 90-95 . |
| MLA | 吴杨敏 et al. "基于空间句法的建瓯古城空间形态特征研究" . | 建材技术与应用 6 . 02 (2025) : 90-95 . |
| APA | 吴杨敏 , 卢姗 , 陈荣祥 , 陈颖欣 , 陈顺和 . 基于空间句法的建瓯古城空间形态特征研究 . | 建材技术与应用 , 2025 , 6 (02) , 90-95 . |
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台湾因福建南部的彩绘匠师迁徙而演进出多元的聚落文化区，台湾彩绘师聚落是闽台间地缘联结与文化同源等多重影响下所形成的物质空间，对其聚落演进脉络进行历时性考察可填补闽台手工艺聚落研究的空白。本文考察了清末至日据时期闽地彩绘匠司迁台历程，研究发现清中叶至清末期间有郭氏与李氏等匠师落台发展，此时期是其转变为台湾本土彩绘师的过渡阶段，技艺传承主体则以闽地匠师为主。日据时期，吴、洪、黄等氏闽地彩绘匠师陆续来台，匠师在台湾各地发展聚落，此时期则是闽地匠师在台湾大放异彩的鼎盛阶段，技艺传承主体也由福建师傅逐步转变为台湾本地师傅，真正实现了“闽彩台承”的结果。揭示了清末至日据时期台湾彩绘聚落的生成多以福建闽南地区的彩绘匠师为主体，为台湾本土彩绘发展起到了不可磨灭的绘就作用。
Keyword ：
历时性考察 历时性考察 彩绘匠师 彩绘匠师 手工艺聚落 手工艺聚落 闽台 闽台
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| GB/T 7714 | 郑泽彬 , 邱超 , 周鸿宇 et al. 闽彩台承：彩绘匠师手工艺聚落演进的历时性考察（1830—1945） [J]. | 福建史志 , 2025 , 10 (02) : 12-20,91 . |
| MLA | 郑泽彬 et al. "闽彩台承：彩绘匠师手工艺聚落演进的历时性考察（1830—1945）" . | 福建史志 10 . 02 (2025) : 12-20,91 . |
| APA | 郑泽彬 , 邱超 , 周鸿宇 , 吴杨敏 , 陈顺和 . 闽彩台承：彩绘匠师手工艺聚落演进的历时性考察（1830—1945） . | 福建史志 , 2025 , 10 (02) , 12-20,91 . |
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荷兰古迹遗产预防性保护具有高效和条理化的保护管理模式，策略与技术实施要点主要体现在：保护组织架构与法规体系的政策指引，专业技术与监测团队建设支撑，专业化和标准化的日常照管，高效的古迹信息化维护诊断管理系统建设，遗产本体与环境风险的保护研究与实践，推广遗产教育与公众化参与机制等方面。总结对比我国与荷兰的状况，为我国遗产预防性保护和可持续发展提供借鉴参考。
Keyword ：
古迹管理 古迹管理 古迹遗产 古迹遗产 监测与维护 监测与维护 预防性保护 预防性保护
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| GB/T 7714 | 郑静 , 闫树睿 , 陈顺和 . 荷兰古迹遗产预防性保护策略及技术实践研究与启示——以莱顿城堡为例 [J]. | 西部人居环境学刊 , 2025 , 40 (03) : 174-181 . |
| MLA | 郑静 et al. "荷兰古迹遗产预防性保护策略及技术实践研究与启示——以莱顿城堡为例" . | 西部人居环境学刊 40 . 03 (2025) : 174-181 . |
| APA | 郑静 , 闫树睿 , 陈顺和 . 荷兰古迹遗产预防性保护策略及技术实践研究与启示——以莱顿城堡为例 . | 西部人居环境学刊 , 2025 , 40 (03) , 174-181 . |
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Using Shanghai as a case study, this paper develops a multi-source fusion and interpretable machine learning framework. Sentiment indices were extracted from Weibo check-ins with ERNIE 3.0, street-view elements were identified using Mask2Former, and urban indicators like the Normalized Difference Vegetation Index, floor area ratio, and road network density were integrated. The coupling between residents' sentiments and streetscape features during heatwaves was analyzed with Extreme Gradient Boosting, SHapley Additive exPlanations, and GeoSHAPLEY. Results show that (1) the average sentiment index is 0.583, indicating a generally positive tendency, with sentiments clustered spatially, and negative patches in central areas, while positive sentiments are concentrated in waterfronts and green zones. (2) SHapley Additive exPlanations analysis identifies NDVI (0.024), visual entropy (0.022), FAR (0.021), road network density (0.020), and aquatic rate (0.020) as key factors. Partial dependence results show that NDVI enhances sentiment at low-to-medium ranges but declines at higher levels; aquatic rate improves sentiment at 0.08-0.10; openness above 0.32 improves sentiment; and both visual entropy and color complexity show a U-shaped relationship. (3) GeoSHAPLEY shows pronounced spatial heterogeneity: waterfronts and the southwestern corridor have positive effects from water-green resources; high FAR and paved surfaces in the urban area exert negative influences; and orderly interfaces in the vitality corridor generate positive impacts. Overall, moderate greenery, visible water, openness, medium-density road networks, and orderly visual patterns mitigate negative sentiments during heatwaves, while excessive density and hard surfaces intensify stress. Based on these findings, this study proposes strategies: reducing density and impervious surfaces in the urban area, enhancing greenery and quality in waterfront and peripheral areas, and optimizing urban-rural interfaces. These insights support heat-adaptive and sustainable street design and spatial governance.
Keyword ：
machine learning machine learning sentiment analysis sentiment analysis streetscape environment streetscape environment sustainability sustainability urban climate adaptation urban climate adaptation urban heatwaves urban heatwaves
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| GB/T 7714 | Lu, Zekun , Lu, Yichen , Chen, Yaona et al. Effects of Streetscapes on Residents' Sentiments During Heatwaves in Shanghai: Evidence from Multi-Source Data and Interpretable Machine Learning for Urban Sustainability [J]. | SUSTAINABILITY , 2025 , 17 (22) . |
| MLA | Lu, Zekun et al. "Effects of Streetscapes on Residents' Sentiments During Heatwaves in Shanghai: Evidence from Multi-Source Data and Interpretable Machine Learning for Urban Sustainability" . | SUSTAINABILITY 17 . 22 (2025) . |
| APA | Lu, Zekun , Lu, Yichen , Chen, Yaona , Chen, Shunhe . Effects of Streetscapes on Residents' Sentiments During Heatwaves in Shanghai: Evidence from Multi-Source Data and Interpretable Machine Learning for Urban Sustainability . | SUSTAINABILITY , 2025 , 17 (22) . |
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