Search Results (117)

Rapid urbanization has exacerbated the urban heat island effect, posing a significant threat to human health and urban ecosystems. While numerous studies have demonstrated that urban morphology significantly influences land surface temperatures (LSTs), few have systematically explored the impact and contribution of urban morphology on LST across different functional zones. Therefore, this study takes Xi’an as a case and employs an interpretable CatBoost-SHAP machine learning model to evaluate the nonlinear influence of building landscape features on LST in different functional zones during summer. The results indicate the following: (1) The highest LST in the study area reached 52.68 °C, while the lowest was 21.68 °C. High-temperature areas were predominantly concentrated in the urban center and industrial zones with dense buildings, whereas areas around water bodies and green spaces exhibited relatively lower temperatures. (2) SHAP analysis revealed that landscape indicators exerted the most substantial impact across all functional zones, with green space zones contributing up to 62%. Among these, fractional vegetation coverage (FVC), as a core landscape factor, served as the primary cooling factor in all six functional zones and consistently demonstrated a negative effect. (3) Population density (POP) exhibited a generally high SHAP contribution across all functional zones, showing a positive correlation. Its effect was most pronounced in commercial zones, accounting for 16%. When POP ranged between 0 and 250 people, the warming effect was particularly prominent. (4) The mean building height (MBH) constituted a major influencing factor in most functional zones, especially in residential zones, where the SHAP value reached 0.7643. Within the range of 10–20 m, the SHAP value increased sharply, indicating a significant warming effect. (5) This study proposes targeted cooling strategies tailored to six functional zones, providing a scientific basis for formulating targeted mitigation strategies for different functional zones to alleviate the urban heat island effect. Full article

The integration of shared autonomous vehicles into historic urban areas presents both opportunities and challenges. In heritage-rich environments like very old Asian (such as Suzhou old town, which serves as a use case example) or European (especially Mediterranean coastal cities) areas—characterized by narrow alleys, dense development, and sensitive cultural landscapes—shared autonomous vehicle adoption raises critical spatial and social questions. This study employs a qualitative, user-centered approach based on the ripple model to examine residents’ perceptions across four dimensions: residential patterns, parking land use, regional accessibility, and street-level infrastructure. Semi-structured interviews with 27 participants reveal five key findings: (1) public trust depends on transparent decision-making and safety guarantees; (2) shared autonomous vehicles may reshape generational residential clustering; (3) the short-term parking demand remains stable, but the long-term reuse of space is feasible; (4) shared autonomous vehicles could enhance accessibility in historic cores; (5) transport systems may evolve toward intelligent, human-centered designs. Based on these insights, the study proposes three strategies: (1) transparent risk assessment using explainable artificial intelligence and digital twins; (2) polycentric development to diversify land use; (3) hierarchical street retrofitting to balance mobility and preservation. While this study is limited by its qualitative scope and absence of simulation, it offers a framework for culturally sensitive, small-scale interventions supporting sustainable mobility transitions in historic urban contexts. Full article

Background: The integration of mining and urban spaces in coal-resource-based cities holds significant implications for urban transformation and sustainable development. However, existing research lacks an in-depth analysis of its characteristics and driving factors. Methods: This study takes the central urban area of Huaibei City as a case, utilizing historical documents, POI data, and spatial analysis methods to explore the evolution patterns and influencing factors of mining–urban spatial integration. Standard deviation ellipse analysis was employed to examine historical spatial changes, while a binary logistic regression model and principal component analysis were constructed based on 300 m × 300 m grid units to assess the roles of 11 factors, including location, transportation, commerce, and natural environment. Results: The results indicate that mining–urban spatial integration exhibits characteristics of lag, clustering, transportation dominance, and continuity. Commercial activity density, particularly leisure, dining, and shopping facilities, serves as a core driving factor. Road network density, along with the areas of educational and residential zones, positively promotes integration, whereas water surface areas (such as subsidence zones) significantly inhibit it. Among high-integration areas, Xiangshan District stands as the most economically prosperous city center; Lieshan–Yangzhuang mining area blends traditional and modern elements; and Zhuzhuang–Zhangzhuang mining area reflects the industrial landscape post-transformation. Conclusions: The study reveals diverse integration patterns under the synergistic effects of multiple factors, providing a scientific basis for optimizing spatial layouts and coordinating mining–urban development in coal-resource-based cities. Future research should continue to pay attention to the dynamic changes of spatial integration of mining cities, explore more effective integrated development models, and promote the rational and efficient use of urban space and the sustainable development of cities. Full article

Urban landscapes are capable of responsive urban development that optimises the quality of Urban Green Space (UGS) for advanced function as a matter of efficient and convenient knowledge management. As a theory for positive outcomes for urban landscapes substantiated by refined wilding, functional urban biodiversity can optimise the use of cross-disciplinary knowledge sets, leading to more efficient design and policy for UGS that accommodates human health and the natural-environment in urban landscapes. This optimisation is complementary to the smart cities concept, offering convenience, efficiency, and quality of life, and can ensure that sustainable urban development advances with smart cities. The smart cities concept has, over the last decades, developed to integrate sustainability and UGS. This article suggests and finds that refined wilding could provide conceptual guidance for smart cities, as a concept, component model, and planning process, and for smart city devices and technologies, with functional biodiversity as an aim and positive outcome for different UGS types, including residential gardens, which are at an individual level of initiative, responsibility, and choice, and public UGSs which are more likely to be top–down-designed and -implemented. Using a literature review and conceptually framed analysis, functional biodiversity in UGS is found to positively contribute to the smart cities concept by encouraging the efficient use of advanced knowledge sets from various disciplines for the topic of UGS. This article finds that refined wilding supports and furthers ideas like the importance of the quality of UGS as compared to the quantity, the advantages of high-quality and advanced-function UGS as compared to the disadvantages of less functional UGS, and how wild-refined UGS furthers or complements and supports more advanced ideas for UGS. The recommendations for future directions give further examples of advances in refined wilding for sustainable smart cities. The focus on the quality of UGS and advanced function brings refined wilding for functional biodiversity to smart cities with efficiency and convenience in urban development and sustainability terms. Full article

With the ongoing globalization, traditional villages around the world face the challenge of balancing modernization with the preservation of their cultural and spatial integrity. Heijing Village, a representative traditional settlement in Yunnan, showcases this global phenomenon through its distinctive spatial form and rich multi-ethnic cultural heritage. This study examines the landscape morphology of Heijing Village to reveal its spatial organization, cultural significance, and adaptive evolution. By applying fractal theory, we quantify the spatial complexity and self-similarity of the village, uncovering underlying patterns in land use that contribute to its sustainability and historical continuity. This study’s innovation lies in its use of fractal analysis to assess the village’s dynamic landscape, offering a novel method for understanding the interplay between traditional spaces and modern demands. The findings demonstrate variations in fractal dimension values before and after model optimization, indicating an enhanced ability to capture the intricate spatial structure of Heijing Village. Notably, changes in fractal dimensions across different land use types (e.g., residential areas: 1.4751 to 1.5323 and public service areas: 1.2846 to 1.3453) suggest improvements in quantification accuracy rather than actual physical transformations. This refined methodological framework provides a robust and replicable tool for planners to quantitatively assess the morphological characteristics of traditional settlements, supporting more evidence-based conservation strategies. Full article

Humans and nature have always been connected. Meanwhile, with the industrial revolution, landscapes have become more artificial, reducing the human–nature relationship. Urban design should follow biophilic principles to reconnect people with nature, mitigate climate change, improve air quality, restore biodiversity loss, and solve social problems. Poor air quality affects people’s health, and vegetation plays a crucial role in purifying the air. Similarly, contact with nature benefits physical and mental health and well-being. However, there is no consensus on how urban design can be beneficial for improving air quality and human health. This review paper aims to provide a comprehensive evaluation of evidence linking nature-based solutions (NBSs), air quality, carbon neutrality, and human health and well-being. Five hundred articles published between 2000 and 2024 were analysed. A number of publications studied the benefits of green infrastructure in improving air quality, carbon sequestration, or the influence of green spaces on human health. The topic of NBSs has recently emerged related to air quality, health, and promoting physical activity, as has accessibility to green spaces and mental health, also associated with blue spaces and residential gardens. The results revealed the gaps in the literature on how to design green and blue spaces to tackle environmental and public health crises simultaneously. Full article

The East–West Mountain Region (EWMR) of Wuhan is a vital natural and cultdural asset, characterized by its scenic nature landscapes and rich historical and cultural heritage. This study aims to address the problems of landscape character degradation and weakened public preferences caused by rapid urbanization and proposes a research framework integrating landscape character assessment and public preferences. Initially, we utilize K-means cluster analysis to identify landscape character types based on six landscape elements, resulting in a landscape character map with 20 types. Subsequently, we employ emotion analysis based on Natural Language Processing (NLP) techniques to analyze user-generated content (UGC) from Weibo check-in data to establish perception characteristic indicators reflecting public preferences. Finally, we quantitatively identify the environmental factors influencing public preferences through the SoIVES model and compare and integrate the landscape character map with the public emotion value map. The results show that (1) public preferences hotspots are concentrated in three types: (a) urban construction-driven types, including areas dominated by commercial service functions and those characterized by mixed-function residential areas; (b) natural terrain-dominated types with well-developed supporting facilities; and (c) hybrid transition types predominated by educational and scientific research land uses. These areas generally feature a high degree of functional diversity and good transportation accessibility. (2) Landscapes eliciting stronger emotional responses integrate moderate slopes, multifunctional spaces, and robust public services, whereas areas with weaker responses are characterized by single-function use or excessive urbanization. (3) The emotional variations within categories could be influenced by (a) functional hybridity through enhanced environmental exploration; (b) spatial usage frequency through place attachment formation; and (c) visual harmony through cognitive overload prevention. These findings provide critical insights for formulating zoning optimization plans aimed at the refined conservation and utilization of urban landscape resources, as well as offering guidance for improving landscape planning and management in the EWMR. Full article

As urbanization accelerates, the increasing density of urban buildings and the prevalence of multi-unit high-rise residential areas have emerged as significant factors affecting residents’ comfort. Effective green space planning within residential areas can mitigate residents’ thermal discomfort. This study utilizes methods including the construction of two-dimensional and three-dimensional landscape indices and meteorological data simulation to examine the relationship between residents’ comfort levels at various heights in residential buildings and the 3D landscape patterns of residential areas, based on semantic three-dimensional grid data from a residential complex in Wuhan. The results indicate that (1) The characteristics of 3D landscape patterns vary across different regions within multi-unit high-rise residential areas. The landscape patches in the central and southern regions are more balanced compared to other areas, while there is minimal height variation in residential buildings in the northeastern region. (2) There are notable differences in comfort levels at varying heights across different areas of the residential district. In summer, residents expressing satisfaction with environmental comfort are primarily located in high-rise buildings in the central-southern region, whereas in winter, satisfaction is concentrated among residents in lower and mid-rise buildings in both the northern center and southern areas. (3) The degree of landscape fragmentation, the dominance of certain patches, and the distribution of buildings and vegetation at different heights significantly influence residents’ comfort. Achieving a balanced distribution of green spaces, reducing building density, and ensuring a uniform arrangement of trees of varied heights can effectively enhance the living environment for residents on lower floors, providing practical strategies for the planning of green spaces and built environments that improve overall resident quality of life. This research provides a theoretical foundation and reference for evaluating thermal comfort in high-rise residential areas and optimizing green space configurations. Full article

This study aimed to check whether physical signs of children’s presence in the urban space have an impact on sense of safety and preferences. We based the study on an intra- and inter-group design, whereby respondents assessed two types of space: housing estates and green areas. The photos were manipulated to create three scenarios: control (without elements related to children), denotation (spaces supplemented with children’s playgrounds), and connotation (spaces containing elements associated with children). Each scenario was assessed by a separate group of respondents, who were further split between men and women. Analyses have shown that in residential districts, spaces with child-related connotations foster a feeling of safety and enhance the general appeal of the place, especially among women. In turn, direct signs of the presence of children (denotation) have a lesser impact on the positive assessment of the space. In green areas, adding child-related details did not affect women’s feelings but lowered men’s evaluations of safety and preference. The findings suggest that elements associated with children should be used selectively, taking into account the type of space and differences in perception between the sexes. These observations can support the creation of sustainable urban environments: safe and inclusive housing estate and park designs, especially in the context of building cities that foster social integration without exclusions. This is a preliminary study that paves the way for further exploration of the topic. In order to be able to analyse adults’ preferences and safety in more depth, it seems interesting to investigate the shared perception of landscape by children and adults and the possibilities of participatory design of public spaces. Full article

Green spaces in waterfront residential blocks, where the water landscape and green space intersect, have a special carbon sequestration effect due to the distinct ecological interaction between water bodies and green spaces. Studying the carbon sequestration efficiency of green space patterns is crucial for enhancing urban ecological quality. Herein, 100 residential blocks adjacent to water bodies in Shanghai were selected as case areas, and green space pattern classification, random forest algorithm and spatial configuration quantitative analysis were used to analyse the impact of spatial morphology factors, surrounding building environment and water–green coupling environment on the CS efficiency of the green space in residential blocks. The results showed that the importance of the green space morphology index influencing CS is significantly greater than that of the building environment index. Among the indices, the fraction vegetation coverage, coverage ratio of evergreen broadleaved trees and canopy coverage of the green space have a more significant effect. Moreover, the different types and compositions of tree species in residential green spaces have different impacts on CS. Residential blocks with higher levels of water surface ratio (Wr) have a slightly higher CS of the internal green space. In residential blocks 500 m from water bodies, Wr has a significant impact on the CS capacity of the green space. The blocks with an external greenway pattern and external greenway–green grid pattern provide an advantageous environment for CS. This study provides a reasonable basis for the development of riverfront green spaces to increase carbon sequestrations. Full article

This study explores renovation strategies for green spaces in aging residential communities in cold regions, with a particular focus on enhancing carbon sequestration capacity and residents’ well-being. Under the framework of the “dual carbon” goals, a combination of literature analysis and resident surveys reveals that (1) the existing layouts of green spaceand plant selections have not fully considered their carbon sequestration potential, leaving significant room for optimization; (2) low outdoor temperatures, the lack of heating facilities, and monotonous winter landscapes contribute to reduced green space utilization, limiting outdoor activities and diminishing the health benefits of green spaces; and (3) the integration of glass sunrooms with renewable energy systems, such as photovoltaic power generation, can effectively improve winter green space utilization, regulate micro climates, and enhance vegetation-based carbon sequestration while also providing residents with comfortable spaces for social interaction and wellness activities. The findings indicate that scientifically optimizing green space layouts, selecting plant species with high carbon sequestration potential, and incorporating climate-adaptive architectural designs can significantly enhance the ecological value of green spaces and residents’ quality of life. It is recommended that future community renewal initiatives integrate green technologies, policy support, and interdisciplinary collaboration to promote low-carbon and livable urban development. Full article

Urbanization has amplified the critical role of urban green spaces in enhancing public health and well-being. While natural landscape elements are known to influence physiological and psychological states through visual perception, their mechanistic pathways remain underexplored, and existing studies often focus on singular environments. This study examines how specific landscape elements affect public health and proposes optimization strategies for urban green space planning. Focusing on five green space types in Kunming (forests, wetlands, urban parks, street green spaces, and residential green spaces), this study employed PSPNet-based semantic segmentation to quantify landscape elements and conducted human–subject experiments using paired visual stimuli. Physiological metrics and psychological questionnaires were analysed to assess health outcomes. Key findings reveal that forests and urban parks, rich in natural elements (Plant and Earth and Mountain Elements), outperformed artificial-dominated spaces (residential/street green spaces) in physiological and psychological restoration. Artificially designed green spaces achieved benefits comparable to natural counterparts when mimicking natural element composition. Notably, aggregated indices (naturalness, artificiality, and enclosure) showed negligible correlations with health outcomes, underscoring the primacy of specific elements. The Plant and Earth and Mountain Elements mediated physiological recovery, while minimizing the Building and Artificial Element and enhancing the Sky Element exposure improved attention coherence. Excessive Water Element perception impaired heart rate stabilization, while psychological restoration mechanisms were multifaceted but were consistently linked to higher natural element proportions. These results provide actionable guidelines for optimizing visual proportions of natural elements in urban green space planning and management. Full article

This study explores the design characteristics of approach spaces in architect Yoshiji Takehara’s independent residential works, focusing on their spatial arrangement, sinuosity, and experiential qualities. Through the analysis of Takehara’s projects and interviews with the architect, the research identifies key patterns in approach configurations, including entrance positioning, path complexity, and site-specific adaptations. The findings reveal that Takehara’s designs emphasize winding paths and deliberate spatial sequences, contrasting the simpler approaches of contemporaneous residential designs. The study categorizes approach configurations into distinct typologies, influenced by the site dimensions and entrance placement, and highlights a shift from physical obstructions to subtler, psychologically guided design elements over time. Takehara’s design method translates the concept of “Ma” from traditional tea gardens into the language of modern pathways, integrating traditional Japanese spatial ambiguity into contemporary residential design. This offers strategies to enhance spatial perception and experiential richness. Particularly in compact urban settings, the research provides valuable insights for contemporary residential design, emphasizing the importance of landscape-oriented approaches and spatial sequencing in creating meaningful entry experiences. Full article

The current state of knowledge in landscape architecture of urban green spaces in Slovakia significantly falls behind advancements in urban planning and architecture. This gap underscores the growing need for well-planned, designed, and integrated green spaces in creating sustainable and livable urban environments. Urban green spaces serve as an essential component of residential areas. They provide important ecosystem services and significant environmental benefits, such as reducing the urban heat island effect, enhancing air quality, promoting biodiversity, and managing stormwater. These natural processes are vital in mitigating the impacts of climate change and improving the resilience of urban areas. Through a review of the green space and housing estate relationship, this article emphasizes the need for integrated green spaces strategies in the planning and designing of housing estates. By analyzing the mutual relationship between green spaces and housing estates, the article highlights how green spaces enhance the physical environment and play a crucial role in the social and economic attributes of residential areas and the well-being of urban residents. Full article

With the transformation of urban development patterns and profound changes in population structure in China, outdoor activity spaces in residential areas are facing common issues such as obsolete infrastructure, insufficient barrier-free facilities, and intergenerational conflicts, which severely impact residents’ quality of life and hinder high-quality urban development. Guided by the principles of all-age friendly and inclusive design, this study innovatively integrates eye-tracking and multi-modal physiological monitoring technologies to collect both subjective and objective perception data of different age groups regarding outdoor activity spaces in residential areas through human factor experiments and empirical interviews. Machine learning methods are utilized to analyze the data, uncovering the differentiated response mechanisms among diverse groups and clarifying the inclusive characteristics of these spaces. The findings reveal that: (1) Common Demands: All groups prioritize spatial features such as unobstructed views, adequate space, diverse landscapes, proximity accessibility, and smooth pavement surfaces, with similar levels of concern. (2) Differentiated Characteristics: Children place greater emphasis on environmental familiarity and children’s play facilities, while middle-aged and elderly groups show heightened concern for adequate space, efficient parking management, and barrier-free facilities. (3) Technical Validation: Heart Rate Variability (HRV) was identified as the core perception indicator for spatial inclusivity through dimensionality reduction using Self-Organizing Maps (SOM), and the Extra Trees model demonstrated superior performance in spatial inclusivity prediction. By integrating multi-group perception data, standardizing experimental environments, and applying intelligent data mining, this study achieves multi-modal data fusion and in-depth analysis, providing theoretical and methodological support for precisely optimizing outdoor activity spaces in residential areas and advancing the development of all-age friendly communities. Full article