Search Results (155)

Greening urban spaces is one of the fundamental elements in strengthening urban resilience to climate change and introducing sustainable urban lifestyles. The subject of this research is innovative urban solutions, situated in the context of cities’ aspirations to attain the title of being the greenest and most sustainable city in Europe. The conducted research is based on a comparative analysis of greening initiatives in 41 cities in 13 European countries, united in the international project Green Cities Europe, carried out from 2020 to 2023. The aim of the research is to evaluate urban solutions implemented in the context of social, economic, environmental, and spatial values, as well as the use of blue–green infrastructure, renewable energy sources, and new technologies. The study employed a mixed-methods approach combining qualitative and quantitative analyses. The research included a review of planning and strategic documents, a comparative analysis of 131 urban greening projects, and an evaluation of 45 projects nominated for the Green Cities Europe Award (GCEA). The findings were synthesised using comparative statistical analyses and descriptive evaluation. Based on the conducted analysis and assessment, we demonstrate that the studied cities, which are pursuing development and climate policies, implement urban greening actions with varying, often limited, degrees of innovation. We show that the implemented solutions place significant emphasis on environmental and social values, but only minimally incorporate elements of renewable energy sources and new technologies. This study indicates the need for cities to pursue a coherent development policy that fosters the planning and implementation of innovative urban solutions. Full article

Urban green spaces are increasingly recognized as cooling infrastructure for climate resilience, environmental health, and spatial equity. However, their planning value depends not only on where green spaces are located but also on whether cooling supply is translated into lower thermal pressure and aligned with heat-sensitive demand. This study examines blue–green–gray infrastructure cooling supply, thermal regulation, human-relevant thermal pressure, and supply–demand mismatch across 1385 census tracts in Maryland, USA. An Infrastructure Cooling Supply Index (ICSI) was constructed from green, blue, and gray infrastructure components and evaluated against maximum land surface temperature (LSTmax), Heat Index, extreme heat days, and a Human-Relevant Thermal Pressure Index (HTPI) integrating ambient heat intensity and recurrent extreme heat exposure. Explainable machine learning was used to identify the relative contributions of individual infrastructure components, and cooling supply was compared with socially differentiated heat-sensitive demand. The results show that higher ICSI is significantly associated with lower LSTmax, Heat Index, and HTPI. The association was strongest for surface thermal conditions, remained significant for Heat Index and integrated human-relevant thermal pressure, and was comparatively weaker for recurrent extreme heat days, indicating that infrastructure cooling supply affects thermal outcomes through distinct pathways. Cooling supply was also spatially uneven, with stronger provision generally associated with greater vegetation and tree-canopy coverage, higher park provision, larger water-area proportions, and lower gray-infrastructure pressure. Explainable GeoAI results identify impervious cover, tree canopy, water-area proportion, road density, and park provision as the principal contributors to tract-level thermal pressure. The mismatch analysis identifies 433 census tracts, or 31.3% of all Maryland tracts, as low-supply–high-demand priority areas. These tracts reveal substantial spatial convergence among elevated heat-sensitive demand, insufficient cooling infrastructure, and persistent thermal pressure. This study provides a tract-level approach for targeting cooling interventions where thermal pressure, vulnerability, and infrastructure deficits converge. Full article

Under rapid urbanization and watershed-scale spatial restructuring, urban green-space systems are often treated as residual indicators after construction land has been allocated, which limits the capacity of blue–green networks to act as leading frameworks for spatial structure and development sequencing. Taking the Sanjiangkou New Town Master Plan in Lishui, Zhejiang Province, China, as a case, this study develops the concepts of landscape-flow transformation and locality in urban green-space networks and examines their generative, planning, and participatory mechanisms through planning-document interpretation, visual evidence-chain analysis, sequential scenario construction, and an exploratory public-participation questionnaire survey. The paper proposes an integrated Perception–Cognition–Interaction (PCI) and Ecology–Construction–Program (ECP) framework. The ECP framework clarifies how locality-based landscape ecology constrains network formation, how frontloaded green networks shape urban zoning and mobility structures, and how long-term construction, use, and feedback refine master-planning schemes. The PCI framework explains how the public enters planning communication through embodied locality perception, structural understanding, and interactive feedback. Based on 400 valid questionnaires, the results reveal significant differences between local and non-local respondents in locality perception and planning understanding. The PCI pathway provides exploratory evidence that perception, cognition, and interaction are closely associated in scenario-based planning communication. The study argues that green-space networks should be introduced as an ecological substrate, structural constraint, and dynamic feedback system rather than as post hoc environmental land-use allocation. Its contribution is to reposition locality from a visual character label to a mechanism of pattern generation, phasing, and participatory negotiation. Full article

Urban blue–green spaces (UBGSs) serve as irreplaceable ecological infrastructure that underpins ecosystem service provision and human well-being improvement in densely populated urban regions. Based on 10-year (2014–2023) Landsat 8 OLI remote sensing imagery, this paper systematically investigates the temporal–spatial evolutionary characteristics and potential socioeconomic and policy-related associations with UBGS changes in the Shandong Peninsula urban agglomeration (SPUA), a pivotal coastal urban agglomeration in eastern China. The results demonstrate that the total UBGSs in the SPUA exhibited a pronounced increasing trend throughout the study period: the area of urban green spaces (UGSs) expanded from 28,311.66 km² to 30,194.39 km², while urban blue spaces (UBSs) grew from 1108.02 km² to 1699.04 km². Concurrently, the ecological quality of UGSs has markedly improved, with NDVI showing a significant upward trend in over one-third of the built-up areas, and vegetation greenness in cities such as Binzhou, Jinan, and Zibo increasing by more than 35%. Landscape pattern analysis reveals that the spatial structure of UGSs has transformed from a fragmented and scattered distribution to a centralized and contiguous layout. Specifically, the aggregation index (AI) and largest patch index (LPI) increased overall, while the landscape shape index (LSI) decreased by approximately 18.3%, indicating that the connectivity and structural integrity of urban green spaces have been substantially enhanced. National strategic policies, particularly the outline of ecological protection and high-quality development planning for the Yellow River basin, have effectively alleviated the encroachment pressure of population agglomeration and economic expansion on UBGSs, and played a decisive regulatory role in promoting the structural optimization of blue–green spaces. These findings provide empirical evidence for cross-city collaborative planning and integrated ecological governance of blue–green spaces at the urban agglomeration level, and offer valuable reference for achieving sustainable urban development in other rapidly urbanizing areas. Full article

Rapid urbanization has significantly altered urban landscape composition and configuration, making it a key driver exacerbating the urban heat island (UHI) effect. As a rapidly expanding inland city in Central China, Zhengzhou is highly sensitive to changes in landscape composition and spatial configuration. Therefore, clarifying the nonlinear relationship between landscape patterns and the urban thermal environment is of great significance for sustainable urban planning and thermal environment regulation. Taking the main urban area of Zhengzhou as the study area, this paper retrieves land surface temperature (LST) using the radiative transfer equation method based on Landsat 8 remote sensing images from August 2015 to August 2024, and constructs the surface urban heat island intensity (SUHII) index. By integrating multi-dimensional landscape pattern indices, the XGBoost machine learning model, and the SHAP interpretability method, this study systematically analyzes the nonlinear response mechanisms of landscape composition and configuration to SUHII, key regulatory thresholds, and their changes between 2015 and 2024. The results show that: (1) The SUHII in Zhengzhou was substantially higher in 2024 than in 2015. The area proportions of strong and extremely strong heat islands were higher in 2024 (26.16% and 2.34%) than in 2015 (2.22% and 0.12%), and the thermal environment differed between 2015 and 2024, shifting from a localized patch pattern to a more continuously expanding pattern. (2) Landscape area-related indices are the key factors. The areas of green space and water bodies, along with the landscape diversity index, show significant negative correlations, while built-up area and aggregation index show significant positive correlations. (3) SHAP feature importance indicates that water body area is the primary cooling factor, whereas built-up area is the primary warming factor, jointly dominating the spatial pattern of the thermal environment in Zhengzhou. (4) Landscape composition and configuration exhibit significant nonlinear responses to SUHII with region-specific thresholds, and these thresholds were higher/lower in 2024 than in 2015, suggesting a possible association with urban expansion. Specifically, stable cooling effects occurred when the water body area exceeded 3.5 km² in 2015, with the threshold rising to 4.2 km² in 2024. The warming threshold for built-up area decreased from 18.8 km² to 8.5 km², suggesting a higher sensitivity of the thermal environment to built-up area expansion in 2024 compared to 2015, characterized by a regulation pattern of “dominant scale effect and weakened configuration effect”. This study identifies thresholds specific to Zhengzhou’s main urban area at two time points (2015 and 2024), providing quantitative support and scientific basis for blue–green space optimization, precise heat island mitigation, and territorial spatial planning in Zhengzhou. These findings are based on a comparison of two time points (2015 and 2024) and do not directly capture continuous temporal dynamics. Full article

This study evaluates publicness and spatial quality along the Çoruh Riverfront in the city center of Bayburt through the Project for Public Spaces (PPS) framework. The research is based on a literature review, interpretation of satellite imagery, on-site observation, production of visual documentation, and surveys conducted with a total of 210 participants, including 30 users in each of seven public spaces. The findings show that the presence of parks along the riverfront alone does not produce continuous and inclusive public life. In the composite PPS index, July 15 Martyrs Park showed the strongest profile (63.4%), whereas the surroundings of Kıyasi Şentürk Mosque showed the most vulnerable profile (44.1%). The mean values indicate that Access and Linkages are relatively strong (62.5%), whereas Comfort and Image constitute the weakest dimension (46.2%). This result suggests that although the Çoruh Riverfront is physically accessible, it has difficulty producing continuity in terms of staying, shade, orientation, maintenance, safety, and inclusive social programming. The study argues that, in small-scale Anatolian cities, riverfronts should be planned not as fragmented recreational areas but as accessible, socially inclusive, and ecologically sensitive blue-green public spines. Therefore, this study does not use PPS merely as a scoring tool. It uses it as a placemaking framework that makes it possible to read public continuity, place-led management, and social-ecological sustainability together on small-city riverfronts. The findings are interpreted as exploratory and diagnostic evidence for planning and design, rather than as inferential statistical proof of site-level differences or direct ecological performance. Full article

Indian metropolitan cities such as Mumbai grapple with rapid urbanisation, extreme urban density, high built-up areas, loss of green cover, and shrinking open spaces, resulting in increased impermeable surfaces, urban heat island effects, and frequent flooding occurrences. Modern stormwater management has increasingly been characterised by integrated grey-green approaches; however, cities in the Global North benefit from established policies, technical expertise, and financial resources that enable the systematic and large-scale integration of Blue-Green Infrastructure (BGI) through district-wide geospatial assessment frameworks, unlike many cities in the Global South. Despite growing interest in nature-based stormwater solutions, there remains a dearth of geospatial empirical research from India examining the placement, distribution, performance, and functionality of BGI integrated with existing stormwater management systems in cities such as Mumbai. Furthermore, hydrological modelling using tools such as the Storm Water Management Model (SWMM) for the design, planning, and implementation of BGI in Indian cities remains largely unexplored. This study explores the role of BGI strategies in improving urban stormwater management within high-density Indian cities under a 25-year return period extreme rainfall scenario. Using an integrated approach that combines QGIS-based spatial analysis with EPA-SWMM hydrologic-hydraulic modelling, the research examines runoff behaviour, identifies flooding hotspots, and evaluates the effectiveness of Low Impact Development (LID)-based BGI measures such as permeable pavements, infiltration trenches, and green roofs applied at the ward level in Mumbai’s F/North and G/North Wards. Detailed land use classification, spatial mapping, and rainfall simulation corresponding specifically to a 25-year return period rainfall event was used to assess pre- and post-intervention conditions. The findings indicate that the applied BGI measures led to a 12.6% reduction in peak runoff (137.6 m³/s to 120.2 m³/s) and a 5.5% decrease in total runoff volume (783,510 m³ to 740,410 m³). More importantly, the peak flooding flow rate decreased by 45% (94.1 m³/s to 51.7 m³/s), demonstrating that BGI measures can efficiently reduce peak flooding flows by extending runoff hydrographs during extreme rainfall events. These findings are specifically applicable to the simulated 25-year return period extreme rainfall scenario and may vary under different rainfall intensities or return periods. Less extreme events could potentially experience even greater relative reductions or prevent flooding altogether, while also easing downstream hydraulic loads. Overall, strategically placed BGI interventions can significantly reduce surface runoff and peak flow, thereby enhancing stormwater resilience within spatially constrained urban environments. This study provides a replicable, data-driven framework for catchment-scale stormwater planning in dense Indian cities under extreme rainfall conditions, offering practical insights into methods, local contextual considerations, and spatial planning strategies for policymakers and urban planners seeking to retrofit and adapt existing infrastructure under increasing hydrologic stress and climate variability. Full article

Rapid urbanization, climate change, and biodiversity loss are intensifying environmental pressures on arid coastal cities through extreme heat, water scarcity, salinity intrusion, and increasing flood risks. Despite substantial investment in urban green spaces across the Gulf region, many public parks provide limited ecological functionality and climate adaptation benefits. This study evaluated the ecological performance of three coastal parks in Muscat, Oman Sarooj Beach Park (23,080 m²), Ghubrah Beach Park (34,818 m²), and Al Athaiba Beach Park (17,370 m²), to identify opportunities for more resilient landscape design. The assessment revealed that although green space occupied 76.8–82% of park areas, tree canopy cover remained low (8–12%), limiting thermal comfort, habitat provision, and ecological performance. Based on these findings, a Functional and Climate-Responsive Planting Strategy (FCRPS) was developed by integrating the 10–20–30 biodiversity guideline with performance-based planting criteria tailored to arid and saline environments. The framework was applied to the proposed Majis Beach Ecological Park in Sohar, Oman, to demonstrate the implementation of ecological urbanism and nature-based solutions in a hyper-arid coastal environment. The resulting design incorporates biodiversity-enhancing planting, blue–green infrastructure, wetland restoration, and climate-responsive spatial planning. The study demonstrates how multifunctional landscapes can enhance biodiversity, improve thermal comfort, strengthen stormwater management, and support community well-being while providing a transferable framework for resilient public park design in arid coastal cities. Full article

With the accelerated pace of urbanization, the substantial reduction in natural vegetation, water bodies, and wetlands has disrupted ecosystem structures, leading to significant declines in biodiversity. Blue-green spaces play a crucial role in maintaining urban habitat quality and supporting species diversity. As a sensitive indicator group to changes in the ecological environment, spatial variations in bird richness can provide important insights into changes in urban ecosystems and habitats. Therefore, a systematic investigation of the relationship between the landscape patterns of blue-green spaces and bird richness in ecologically complex regions is of great significance for achieving sustainable urban development and biodiversity conservation. This study focuses on Southwest China, utilizing bird richness data and blue-green space landscape pattern indicators. By integrating Random Forest (RF) models with Shapley (SHAP) methods, it quantitatively analyzes the relationship between blue-green space landscape patterns and bird richness in typical complex ecological regions. Results indicate nonlinear associations between blue-green landscape patterns and bird richness, with green spaces exerting a stronger overall influence than blue spaces. Edge density (ED) in green spaces demonstrated markedly higher feature importance than other landscape indicators. Within green spaces, ED and class area (CA) showed stronger associations with bird richness, while within blue spaces, CA and Percentage of Landscape (PLAND) provided more prominent explanatory power for bird richness. By clarifying the nonlinear responses and differentiated roles of blue and green landscape patterns, this study provides quantitative evidence for optimizing blue-green spatial planning and promoting biodiversity conservation in ecologically complex regions. Full article

Cities in climatic transition zones face coupled radiative and evaporative stresses, and their carbon emission mechanisms differ significantly from those in humid regions. Taking Xi’an, a typical megacity in the transition zone, as a case study, this research utilises a 500 m × 500 m grid to integrate multi-source data for carbon emission accounting. By applying spatial autocorrelation and the Multi-scale Geographically Weighted Regression (MGWR) model, this study examines the spatial heterogeneity of carbon emissions and the mechanisms through which urban planning influences them. The results indicate that carbon emissions in Xi’an exhibit a “core–periphery” agglomeration pattern, with commercial land use exhibiting the highest emission intensity. Carbon emissions and land surface temperature are spatially coupled, consistent with a hypothesised positive feedback loop of the “dry heat island” effect. Morphological factors exhibit spatial non-stationarity: floor area ratio is positively associated with emissions in the old city centre, whereas mutual shading among super-high-rise buildings in the High-Tech Zone coincides with a weaker effect. Building density shows a positive association only where ventilation is limited. Land use mix and blue–green spaces show non-linear negative associations with emissions, with higher marginal benefits in arid–hot environments. This study proposes carbon reduction strategies for the renewal of old urban areas, business cores, and new ecological districts, providing empirical evidence and decision-making references for low-carbon spatial planning in cities within the climatic transition zone. Full article

Blue-green spaces are critical for diversified landscape planning. However, rapid urbanization and habitat fragmentation continue to disrupt ecological connectivity in river-basin landscapes. This study focuses on the Xiu River Basin, a major tributary of Poyang Lake and a key node of the East Asian–Australasian Flyway. We developed a multi-guild avian ecological network framework to support biodiversity-oriented landscape planning. Birds were classified into four functional guilds: aquatic resident, aquatic wintering, forest resident, and forest wintering. For each guild, we designed a specific set of environmental variables. We integrated MaxEnt and InVEST to identify ecological sources by combining habitat suitability with habitat quality. The results showed that 68.75% of the basin qualifies as good-quality habitat, although suitable habitats remained highly heterogeneous and fragmented among guilds. We identified 1839.93 km² of ecological sources, 157 corridors, 215 pinchpoints, and 344 barriers, revealing clear differences in the connectivity requirements between aquatic and forest birds and between resident and wintering birds. We further delineated four ecological priority areas and proposed targeted restoration strategies for wetlands, river–lake systems, forested mountains, and urban–rural transition zones. Overall, this study demonstrates that multi-guild connectivity analysis can provide a spatial framework for informing urban forest conservation, blue-green infrastructure planning, and diversified landscape planning in complex basin landscapes. Full article

Urban blue-green spaces play an important role in mitigating thermal environmental stress, yet their long-term configuration and relative thermal environmental benefits remain insufficiently understood at the metropolitan scale. This study examined Beijing from 2000 to 2020 by integrating Landsat time-series imagery, land-cover data, landscape metrics, land surface temperature retrieval, Geodetector analysis, and a configuration-oriented Blue-Green Environmental Benefit Index (BGEBI). The results showed that Beijing’s blue-green spaces experienced three stages: rapid decline during 2000–2003, gradual recovery during 2004–2012, and rapid expansion during 2013–2020. Spatially, low-temperature zones were mainly concentrated in the northwestern ecological conservation areas, whereas high-temperature zones were mainly distributed in the southeastern core and plain areas. Green-space landscape indicators, especially forest-related metrics, showed stronger explanatory associations with LST spatial heterogeneity than most wetland-related indicators at the metropolitan scale. The BGEBI results indicated an overall increase in relative thermal environmental benefits from 2000 to 2020, with high-value areas mainly located in the northwestern and central-western mountainous regions and low-value areas mainly distributed in southeastern urbanized areas. These findings suggest that blue-green space planning in high-density megacities should pay greater attention to landscape configuration, spatial connectivity, and scale-sensitive management. The proposed BGEBI framework provides a relative spatial-prioritization tool for identifying areas where blue-green configuration optimization may support thermal-environment improvement. Full article

Green and blue-green infrastructures are key for reducing the effects of urban heat islands driven by rapid city expansion. However, the spatial relationship between land-cover patterns and air-temperature distribution, plus the combined cooling effects of green and blue spaces, remains insufficiently explored. This study applies the InVEST Urban Cooling Model to analyze the spatiotemporal changes in land use and their impact on the heat-mitigation service provided by green and blue spaces in the city of Arequipa, Peru, between 2006 and 2024. Furthermore, land-use change is projected for 2030 using the CA-Markov model and the InVEST Scenario Generator tool. These projections enabled the evaluation of two heat-mitigation scenarios by modifying the spatial distribution of green, blue-green, and urbanized areas. The findings indicate that urbanized areas doubled over the measurement period. The greatest loss of agricultural land and tree-covered areas occurred between 2020 and 2024, with a decline of up to 5%. Correspondingly, the percentage of low heat mitigation index areas (0.1–0.2 and ≤0.1) increased by 3.8%, reaching a total increase of up to 6.7%. Scenario simulations showed that reducing both green and blue-green infrastructure had similar impacts on the heat-mitigation index, providing valuable insights for urban planning and environmental management. Full article

This study assesses the configuration potential of embedded outdoor sports facilities in high-density urban areas in response to persistent challenges related to supply–demand imbalance, limited accessibility, and low spatial efficiency under stock-based urban renewal. Embedded sports facilities, characterized by multifunctional land use and efficient resource integration, offer a promising pathway to alleviate these pressures. This study proposes a multidimensional framework to assess configuration potential by integrating multi-source data, spatial analysis, and quantitative evaluation methods. The assessment system is structured around three core dimensions: supply–demand improvement, use convenience, and environmental suitability. The TOPSIS model is applied to evaluate the configuration potential of 1268 parcels at the micro-scale. Results reveal a spatial pattern characterized by clustered low-potential parcels in central areas and scattered high-potential parcels in peripheral zones. The results reveal that low-potential clusters notably coincide with areas characterized by concentrated educational land uses and complex natural topographic conditions. Notably, more than 40 percent of high-potential parcels are located within blue–green infrastructure spaces. These findings provide practical evidence to support precise sports facility planning and community-scale renewal strategies in high-density urban environments. Full article

Urban destinations increasingly incorporate green–blue infrastructure, sensory-balanced public spaces, and microclimate-responsive design to mitigate visitor fatigue and support sustainable tourism experiences. To understand how insights from broader tourism environments, particularly nature-based contexts, can inform emerging urban well-being strategies, this study conducts a global bibliometric review (2005–2025) on psychological restoration, stress relief, and visitor well-being. Using Scopus and a Boolean search combining mental health constructs, tourism setting, and analytical approaches, 825 records were identified, and 149 articles were retained after applying eligibility criteria. Science mapping and performance analyses reveal accelerated post-2018 growth and three dominant knowledge clusters centered on restoration pathways, environmental determinants, and behavioral/hospitality components. Based on these patterns, this study introduces the RESTOR-URBAN model, integrating environmental moderators, psychological mechanisms, and behavioral interactions that jointly shape stress reduction and emotional well-being across urban tourism systems. The results show increasing relevance of micro-restorative experiences, thermal comfort management, and stress-aware service design, while highlighting persistent methodological heterogeneity and limited integration of environmental co-data (Universal Thermal Climate Index (UTCI), Physiological Equivalent Temperature (PET), and Discomfort Index (DI)). The findings suggest that restoration-based evidence from nature-based tourism can inform sustainable urban tourism planning, hospitality practice, and visitor experience design, and propose a research agenda emphasizing standardized well-being indicators, longitudinal and structural equation modeling (SEM)-based approaches, and environmental quality variables for resilient, health-oriented urban destinations. Full article