Search Results (140)

Urban plazas in hot-humid climates face severe heat exposure risks due to high sky view factors and limited shading, yet conventional thermal mitigation strategies predominantly rely on plaza-wide performance metrics that misalign with actual pedestrian exposure patterns. This study proposes a pedestrian-oriented microclimate optimization framework that integrates agent-based pedestrian movement simulation (PedSim) with coupled CFD microclimate modeling to enhance outdoor thermal comfort precisely where people walk and congregate. A representative urban plaza (32,300 m²) in a hot-humid climate was analyzed under extreme summer design conditions. Three scenarios were systematically compared: (1) baseline configuration, (2) plaza-wide greening optimization (uniform distribution), and (3) pedestrian-oriented optimization guided by exposure-weighted movement hotspots. Microclimatic variables were simulated using urbanMicroclimateFoam (OpenFOAM), incorporating coupled airflow, heat/moisture transport, radiation, and vegetation modules. Thermal comfort was quantified using Mean Radiant Temperature (MRT) and the Universal Thermal Climate Index (UTCI) at both plaza-wide and pedestrian hotspot scales. Winter simulations were further conducted to assess seasonal trade-offs. Results demonstrate that under identical green coverage ratio (6.6%), the pedestrian-oriented strategy achieves substantially greater thermal comfort improvements in high-use areas. Compared to the baseline, hotspot MRT and UTCI were reduced by up to 5.0 °C and 3.0 °C, respectively, whereas the plaza-wide scheme yielded only marginal improvements (ΔUTCI < 1 °C). Notably, the pedestrian-oriented layout outperformed plaza-wide optimization within hotspots by 0.8 °C UTCI reduction without compromising winter thermal comfort, maintaining 100% thermally comfortable area ratios in both scenarios. This research reveals that the spatial configuration of vegetation is equally critical as coverage quantity for pedestrian thermal exposure. By explicitly linking tree placement to movement patterns, the proposed framework offers a human-centered, resource-efficient pathway for climate-responsive urban design, providing actionable insights for mitigating heat stress in densely populated open spaces without increasing green infrastructure costs. Full article

The eco-health effects of urban green spaces are playing a vital role in mitigating urban environmental stress and promoting residents’ well-being. However, the specific differences and dominant factors influencing these effects across different green space types and plant community structures have not been fully elucidated. This study selected three typical green spaces in Tianfu New District of Chengdu—regional green space, comprehensive park, and specialized park—and focused on four community structures: tree–shrub–herb, tree–herb, tree-only, and herb-only. Multi-scale in situ monitoring was conducted during summer, and a comprehensive index method was employed for evaluation. The results demonstrated that (1) the tree–shrub–herb multi-layered structure exhibited the optimal eco-health function at the community scale, with a PM_2.5 reduction rate of 73.86%, a noise reduction rate of 25.13%, and a negative air ion supply rate of up to 396%, significantly outperforming other structures. (2) The overall effect of regional green space (composite index 10.41) at the site scale was significantly higher than that of comprehensive parks (6.42) and specialized parks (5.87), respectively. (3) The eco-health effect increased with the complexity of the community structure, ranking as: tree–shrub–herb > tree-only > tree–herb > herb-only, highlighting the prominent contribution of the tree layer. Plant diversity showed a positive but non-significant trend. In conclusion, this multi-scale comparative study clarifies the differential impacts of green space types and community structures on the eco-health effect. It is recommended that urban planning prioritizes the layout of regional green spaces and adopts the tree–shrub–herb multi-layered structure as the dominant configuration in design in order to enhance the eco-health effect. Full article

Urban green space (UGS) is widely recognized as a core component of sustainable urban development in megacities. The study of the synergistic relationship between high-intensity urban development and daily accessibility of UGS, however, remains insufficient. This paper therefore critically assesses the inherent correlation between building intensity and the UGS daily accessibility in a typical megacity context. The analysis is twofold: What is the inherent correlation between building intensity and the daily accessibility of UGS in megacities? And, if such a correlation exists, how can daily accessibility be improved by integrating building intensity into the UGS planning process? Using a case study in Beijing, methods of multi-source data integration, GIS spatial analysis, and statistical correlation models are used to address the issues. Results indicate that building intensity exhibits a statistically positive spatial association with the Daily Accessibility Index (DAI). Mere expansion of the total UGS area does not necessarily lead to improved daily accessibility for residents. The findings include a clarified dual-effect mechanism of high-intensity development on UGS services, as well as evidence-based planning strategies for sustainable UGS layout in dense megacities. Full article

Urban green spaces (UGSs) are crucial for public health by supporting leisure-time physical activities (LTPAs), but the mechanisms by which micro-scale UGS features shape different LTPA types remain unclear. In this study, the relationship between the micro-scale features of UGSs and LTPAs was investigated in 63 sample plots of nine comprehensive parks in downtown Shanghai. Using the behavior annotation method and multiple linear regression analysis, we identified significant correlations between the UGS features and LTPA types. The results showed that sitting and chatting (SC) activities had the highest participation rate at 46.84%, while sports and fitness (SF) activities had the lowest at 9.82%. Walking and sightseeing (WS) activities and culture and entertainment (CE) activities accounted for 19.99% and 23.35% of participants, respectively. Spatial accessibility (SA) and canopy coverage ratios (CCRs) were significantly negatively correlated with SC, while seat number (SN), ground-cover density (D_GNC), and three-dimensional green quantity (TGQ) were positively correlated. For WS, SN and tree density (D_TREE) were positively correlated, while TGQ was negatively correlated. CE activities were positively associated with SN, D_TREE, and Shannon’s diversity index of ground-cover (SHI_GNC) but negatively associated with Shannon’s diversity index of trees (SHI_TREE). The regression models explained 65.9%, 38.3%, and 44.3% of the variance in SC, WS, and CE, respectively, while the overall model was not significant for SF. These findings highlight the need to optimize rest facilities, vegetation diversity, and spatial layout in UGS design to accommodate diverse LTPA needs and foster health-oriented environments. The conclusions are mainly applicable to seasons with mild climates, and LTPA characteristics in different seasons require further verification. Full article

Green spaces (GS) play a pivotal role in promoting ecological sustainability and enhancing public well-being. However, traditional park green spaces (PGS), characterized by centralized layouts, often fail to meet the spatially diverse needs of urban residents. Non-park green spaces (NPGS) have therefore emerged as important supplements to urban forest and green infrastructure systems, yet systematic evaluations of their performance contributions remain limited. Using a multidimensional Supply–Demand Ratio (SDR) framework, we compared park-only (PGS) and integrated (All_GS) scenarios across 609 communities in the central urban area of Nanjing, China, to quantify changes in urban forest service capacity, accessibility, and equity. Results show that integrating NPGS increased the mean SDR by 46.88%, with 59.28% of communities exhibiting improved green service performance. The Deviation Reduction Index (DRI) indicates a 13.67% reduction in deviation from the ideal service range, demonstrating improved overall balance and spatial equity. Community transition analysis further reveals that accessibility improvements are accounted as the key pathway to enhance overall performance, while capacity and quality displayed higher spatial heterogeneity. Overall, NPGS integration substantially enhances service equity and spatial balance in green provision, providing a robust analytical framework for integrated urban forest management and targeted optimization of urban green infrastructure. Full article

A well-structured urban park system (UPS) is crucial for optimizing urban spatial layout and improving the quality of the human living environment. In response to the tendency of current planning to prioritize quantitative indicators while overlooking the relational structure arising from the collective spatial configuration of parks, this study introduces Social Network Analysis (SNA) to evaluate the spatial structure of Shanghai’s park system by constructing a service-coverage overlap network. The findings reveal the following: (1) Parks with high degree centrality are concentrated in high-density urban core areas due to service overlap, whereas large suburban parks with high betweenness centrality function as critical bridging hubs, reflecting a polycentric structure. (2) There is a discernible discrepancy between these emergent network tiers and the statutory park hierarchy, highlighting a tension between bottom-up spatial patterns and top-down planning frameworks. (3) Stability simulations indicate a dual character of the system, where the network topology is vulnerable to attacks yet functionally resilient to failures due to spatial redundancy, suggesting that a decline in service quality may precede the loss of basic accessibility. This study demonstrates the value of SNA in diagnosing park system structure, identifying key nodes, and assessing system resilience. The insights advocate for planning approaches that transcend rigid hierarchical frameworks, integrate the actual functional roles of parks, and protect structural hubs, thereby enhancing systemic resilience and promoting equitable service provision. Full article

The intensifying Urban Heat Island (UHI) effect exacerbates urban heat stress. While vegetation is a key mitigation strategy, the quantitative effects of its spatial configuration are not fully understood. This study employed ENVI-met simulations to systematically evaluate how three design parameters—tree spacing (8–18 m), canopy structure (single/multi-layer, sparse/dense), and horizontal layout (enclosed, semi-enclosed, linear)—regulate summer microclimate in urban parks. Results demonstrated that reduced spacing and denser canopies significantly enhanced cooling and humidification. The multi-layer dense canopy and an enclosed “mouth-shaped” layout yielded the optimal performance, achieving a maximum daytime air temperature reduction and a corresponding humidity increase. Furthermore, layout orientation was identified as a critical modulating factor. Spatial configuration exerted a stronger influence on microclimate outcomes than structural complexity itself. This study provides a predictive, evidence-based framework for optimizing urban green space design. The framework and the derived design principles are directly transferable to other cities in humid subtropical climates, offering generalizable strategies to enhance microclimate regulation and climate resilience globally. Full article

Enhancing the carbon sequestration (CS) capacity of urban green spaces is crucial for mitigating global warming, environmental degradation, and urbanisation-induced issues. This study focuses on the urban community unit to establish a system of determining factors for the CS capacity of green space, considering the built-up spatial pattern and green space morphology. An interpretable machine learning approach (Random Forest + Shapley Additive exPlanations) is employed to systematically analyse the non-linear relationship of built-up spatial pattern and green space morphology factors. Results demonstrate significant urban zonal heterogeneity in green space CS, whereas southern suburban area communities exhibited higher capacity. In terms of green space morphology factors, higher fractional vegetation cover (FVC) and cohesion were positively correlated with green space CS capacity. Leaf area index (LAI), canopy density (CD), and the evergreen-broadleaf forest ratio additionally further enhanced the positive effect of two-dimensional green space factors on CS. For built-up spatial pattern factors, communities with a high green space ratio and low development intensity exhibited higher CS capacity. And the optimal ranges of FVC, LAI and CD for effective facilitation of community green space CS were identified as 0.6–0.75, 4.85–5.5 and 0.68–0.7, respectively. Moreover, cohesion, LAI and CD bolstered the CS capacity in communities with a high building density and plot ratio. This study provides a rational basis for planning and layout of green space patterns to enhance CS efficiency at the urban community scale. Full article

With the global trend towards “carbon neutrality,” the use of electric vehicles is becoming increasingly widespread, leading to new impacts on urban spaces. In the process of allocating resources for urban charging stations, there are widespread issues such as a singular planning approach and inadequate adaptation to actual travel demands. Therefore, this study adopts a method of integrating multi-source data to optimize the planning and layout of public electric vehicle charging facilities in Macau, striving to achieve breakthroughs in theoretical methods and key technologies. The study obtained a determination coefficient of R² = 0.43 through quantitative analysis, which is within a reasonable range of fitting spatial syntax and charging facility layout. This indicates that there is a moderate positive correlation between the distribution of charging facilities and core indicators such as road network integration and accessibility—about 43% of layout differences can be explained by spatial syntax indicators, and the remaining 57% of differences reserve space for optimizing multiple factors such as population density and parking lot distribution. On this basis, this study compares the layout experience of medium to high-density cities such as Hong Kong and Singapore, and combines the common characteristics of old parishes on Macau Island and new urban areas on outlying islands to explore innovative sustainable development technology paths that are suitable for Macau. This study not only summarizes the key factors and optimization breakthroughs that affect the spatial distribution of charging facilities in Macau, providing basic data and methodological strategies for charging facility planning, but also helps Macau save energy and reduce emissions, build a green city through layout optimization, provide practical reference for the development of land reclamation areas, and provide reference for carbon neutrality and smart city construction in the Guangdong Hong Kong Macau Greater Bay Area. Full article

Urban vitality is an important evaluation indicator for enhancing urban spatial efficiency and promoting sustainable development. However, few studies have systematically integrated steady-state and dynamic vitality perspectives. To address this gap, we integrate steady-state vitality and dynamic vitality indicators, and use geographically weighted regression (GWR) and geographically weighted logistic regression (GWLR) to quantify how the built environment, natural elements, and travel purposes influence urban vitality. The results reveal that: (1) From the steady-state perspective, urban vitality exhibits a distinct polycentric structure, with transportation POI and catering facilities serving as core driving factors; (2) From the dynamic perspective, areas where citizens are always highly concentrated are mainly influenced by floor area ratio and transportation POI. Green space coverage and building density significantly correspond to patterns of persistently low vitality, while periodic population fluctuations are associated with subway accessibility and proximity to waterfronts. This study provides a comprehensive analysis of the stable spatial distribution and dynamic changes in population aggregation, offering a theoretical and empirical basis for optimizing urban spatial layout and meeting citizens’ activity needs. Full article

With the acceleration of urbanization, urban renewal and the renovation of old residential communities have become important measures to enhance the quality of cities and improve the living conditions of residents. How to scientifically identify and evaluate the environmental factors of public spaces and their impacts from the perspective of residents’ demands and satisfaction remains an important issue that urgently needs to be addressed in the current research field. This research takes the urban renewal project in Tiantuo Area, Nankai District, Tianjin, as an example by using questionnaire surveys, PLS-SEM and IPMA, and other multivariate statistical analysis methods to systematically explore the influence mechanism factors such as space accessibility, spatial usability, spatial maintainability, environmental comfort, and site safety on residents’ satisfaction. These findings reveal the following: (1) Space Accessibility has a significant direct positive impact on residents’ satisfaction. (2) Emotional Perception plays a complete mediating role in the relationship between Site Safety and residents’ satisfaction. (3) Emotional Perception has a complementary mediating effect in the relationship between Space Usability, Space Maintainability, Environmental Comfort, and Resident Satisfaction. (4) The renovation of old urban residential communities should give priority to improving space maintainability, especially focusing on the green landscape maintenance status, life-supporting infrastructure maintenance degree, and the maintenance status of entertainment and fitness facilities. Secondly, the space accessibility should be optimized and improved. In the future, in terms of the Physical Space, we should focus on the rationality of road network layout and strengthen the maintenance and management of public facilities. In terms of the Perceptional Space, the flatness of pavement should be optimized and the construction of security systems should be strengthened. In terms of the Psychological Status, a multi-party resident participation mechanism can be established to encourage residents to participate in the decision-making and construction of community public affair. As has been noted, this research quantitatively analyzed the key factors influencing residents’ satisfaction and their respective impact intensities and proposed prioritized and targeted optimization strategies for the existing situation. The research results are expected to provide a theoretical basis and practical decision-making reference for the optimization of public space environmental quality. Full article

As a key indicator for measuring urban green visibility, the Green View Index (GVI) reflects actual visible greenery from a human perspective, playing a vital role in assessing urban greening levels and optimizing green space layouts. Existing studies predominantly rely on single-source remote sensing image analysis or traditional statistical regression methods such as Ordinary Least Squares and Geographically Weighted Regression. These approaches struggle to capture spatial variations in human-perceived greenery at the street level and fail to identify the non-stationary effects of different drivers within localized areas. This study focuses on the Luolong District in the central urban area of Luoyang City, China. Utilizing Baidu Street View imagery and semantic segmentation technology, an automated GVI extraction model was developed to reveal its spatial differentiation characteristics. Spearman correlation analysis and Multiscale Geographically Weighted Regression were employed to identify the dominant drivers of GVI across four dimensions: landscape pattern, vegetation cover, built environment, and accessibility. Field surveys were conducted to validate the findings. The Multiscale Geographically Weighted Regression method allows different variables to have distinct spatial scales of influence in parameter estimation. This approach overcomes the limitations of traditional models in revealing spatial non-stationarity, thereby more accurately characterizing the spatial response mechanism of the Global Vulnerability Index (GVI). Results indicate the following: (1) The study area’s average GVI is 15.24%, reflecting a low overall level with significant spatial variation, exhibiting a “polar core” distribution pattern. (2) Fractal dimension, normalized vegetation index (NDVI), enclosure index, road density, population density, and green space accessibility positively influence GVI, while connectivity index, Euclidean nearest neighbor distance, building density, residential density, and water body accessibility negatively affect it. Among these, NDVI and enclosure index are the most critical factors. (3) Spatial influence scales vary significantly across factors. Euclidean nearest neighbor distance, building density, population density, green space accessibility, and water body accessibility exert global effects on GVI, while fractal dimension, connectivity index, normalized vegetation index, enclosure index, road density, and residential density demonstrate regional dependence. Field survey results confirm that the analytical conclusions align closely with actual greening conditions and socioeconomic characteristics. This study provides data support and decision-making references for green space planning and human habitat optimization in Luoyang City while also offering methodological insights for evaluating urban street green view index and researching ecological spatial equity. Full article

Currently, an active debate is underway among the academic community, urban planners, and policymakers regarding optimal models of urban development, given that the majority of the population now resides in cities. One concept under discussion is the 15 min city, which posits that all urban residents should be able to reach key, frequently used services within a 15 min walk or cycle. Although the literature suggests numerous potential benefits, debate persists about whether such cities would be optimal from the standpoint of sustainable development objectives and residents’ quality of life. The ongoing discussion also concerns the extent to which existing cities are capable of aligning with this concept. This is directly linked to the actual spatial distribution of individual services within the city. The literature indicates a research gap arising from a shortage of robust case studies that would enable a credible assessment of the practical implementation of this idea across diverse cities, countries, and regions. This issue pertains to Poland as well as to other countries. A desirable future scenario would involve comprehensive mapping of all cities, with respect to both the spatial distribution of specific services and related domains such as the quality and coherence of linear infrastructure. This article presents an analysis of the spatial accessibility of basic urban services in the context of implementing the 15 min city concept, using the city of Koszalin (Poland) as a case study. This city was selected due to its representative character as a medium-sized urban centre, both in terms of population and area, as well as its subregional functions within Poland’s settlement structure. Koszalin also exhibits a typical spatial and functional layout characteristic of many Polish cities. In light of growing challenges related to urbanisation, climate change, and the need to promote sustainable mobility, this study focuses on evaluating access to services such as education, healthcare, retail, public transport, and green spaces. The use of Geographic Information System (GIS) tools enabled the identification of spatial variations in service accessibility across the city. The results indicate that only 11% of Koszalin’s area fully meets the assumptions of the 15 min city concept, providing pedestrians with convenient access to all key services. At the same time, 92% of the city’s area offers access to at least one essential service within a 15 min walk. Excluding forested areas not intended for development increases these values to 14% and 100%, respectively. This highlights the extent to which methodological choices in assessing pedestrian accessibility can shape analytical outcomes and the interpretations drawn from them. Moreover, given this article’s objective and the adopted analytical procedure, the assumed pedestrian walking speed is the key parameter. Accordingly, a sensitivity analysis was conducted, comparing the reference scenario (4 km/h) with alternative variants (3 and 5 km/h). This approach demonstrates the extent to which a change in a single parameter affects estimates of urban-area coverage by access to individual services reachable on foot within 15 min. The analysis reveals limited integration of urban functions at the local scale, highlighting areas in need of planning intervention. This article proposes directions for action to improve pedestrian accessibility within the city. Full article

The rapid urbanization process has led to deteriorating air quality and elevated carbon dioxide levels, highlighting an urgent need for effective urban greening strategies. This study aims to quantify and compare the air pollution removal (APR), carbon sequestration (CS), and oxygen production (OP) capacities of different green space renovation plans in residential areas of a typical arid to semi-arid city in Northwest China. Using the i-Tree Eco model, we simulated the ecological benefits of various vegetation configurations. Our results demonstrated that tree species selection is a critical determinant of ecological performance. Ligustrum (Privet), Magnolia, and Populus (Poplar) were identified as the predominant species, exhibiting distinct effectivities in providing these services. Specifically, we found that species with high APR and CS efficiencies should be prioritized for green space renewal in this water-limited region. Correlation analysis revealed that both APR and CS capacities were most strongly correlated with vegetation greenness, followed by species identity. In contrast, the planning layout of vegetation showed no significant correlation with greenness. For OP, tree species was the most influential factor, ahead of vegetation quantity. This study provides a scientific basis for optimizing plant species selection and spatial arrangement in urban greening projects, offering practical guidance for enhancing ecological benefits in arid and semi-arid cities undergoing renewal. Full article

In high-density urban areas where ecological protection constraints are increasingly stringent, transportation infrastructure layout must balance service efficiency and environmental preservation. From an ecological-prioritization perspective, this study proposes a three-stage multi-objective optimization strategy for siting underground smart parking facilities using the NSGA-III algorithm, with Haidian District, Beijing, as a case study. First, spatial identification and screening are conducted using GIS, integrating urban fringe-space extraction with POI, AOI, population, and transportation network data to determine candidate locations. Second, a multi-objective model is constructed to minimize green space occupation, walking distance, and construction cost while maximizing service coverage, and is solved with NSGA-III. Third, under the ecological-prioritization strategy, the solution with the lowest land occupation is selected, and marginal benefit analysis is applied to identify the optimal trade-off between ecological and economic objectives, forming a flexible decision-making framework. The findings show that several feasible schemes can achieve zero green-space occupation while maintaining high service coverage, and marginal benefit analysis identifies a cost-effective solution serving about 20,000 residents with an investment of 7 billion CNY. These results confirm that ecological protection and urban service efficiency can be reconciled through quantitative optimization, offering practical guidance for sustainable infrastructure planning. The proposed methodology integrates spatial analysis, multi-objective optimization, and post-Pareto analysis into a unified framework, addressing diverse infrastructure planning problems with conflicting objectives and ecological constraints. It offers both theoretical significance and practical applicability, supporting sustainable urban development under multiple scenarios. Full article