Search Results (2,028)

As climate change intensifies, transitioning the construction sector away from fossil fuels is vital to reducing global greenhouse gas emissions and localized urban pollution. This paper assesses the economic feasibility of electrifying construction machinery by developing an Annualized Cost of Ownership framework that incorporates mobile charging solutions, internalizes environmental and public health operational externalities (CO₂, PM_2.5, NO_x, and SO₂), and relies on Monte Carlo simulation with Cholesky decomposition to capture the interdependencies among cost drivers. We analyze twenty distinct models of excavators and wheel loaders—the two largest contributors to construction-machinery emissions—comprising functionally equivalent diesel and battery-electric variants. Our results show that several compact electric models are already cost-competitive even without internalizing environmental and public health operational externalities. When these are accounted for, the economic advantage of electric machinery increases, particularly in denser urban areas where local air pollution damages are severe. While projected battery cost reductions further lower electric ownership costs, the magnitude of this effect is modest. However, the weak penetration of electric construction equipment in the US underscores that targeted policy interventions—such as point-of-sale rebates, green procurement mandates, tax credits, charging infrastructure subsidies, or the creation of low-emission zones and noise ordinances that advantage electric construction machinery—are needed to accelerate market adoption. These measures are particularly critical in densely populated urban areas, where internalizing local air pollution and public health externalities significantly amplifies the economic value of zero-emission machinery. 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

Cities are currently facing increasing challenges related to climate change, demographic pressure, and urban expansion. In this context, urban resilience has emerged as a strategic approach to anticipate, withstand, and adapt to environmental and social disturbances. The city of Salamanca, a UNESCO World Heritage Site, has implemented several green infrastructure strategies and climate adaptation initiatives, including the Integrated Sustainable Urban Development Strategy (EDUSI Tormes+), the Special Plan for the Protection of Green Infrastructure and Biodiversity (PEPIVB), and the programs SAVIA Red Verde Salamanca and LIFE Vía de la Plata. This study assesses the contribution of these initiatives to urban governance focused on response capacity by examining their level of implementation and the coherence among different municipal planning instruments. The analysis reveals that the municipal green infrastructure framework is explicitly planned and strategically designed with the objective to mitigate the urban heat island effect, regenerate the urban fabric, and establish structural pathways targeted to foster local biodiversity pathways. Overall, the results provide evidence that nature-based territorial management instruments can strengthen the adaptive capacity of heritage cities to climate change, offering a replicable model for other territories with similar characteristics. Full article

Previous research has primarily focused on the restorative effects of environments on the general population, often overlooking the specific restorative capacity of urban settings for the disabled population. There is a lack of comprehensive investigation into the interaction between accessibility elements and urban restorativeness. This study, conducted in Shenzhen, Guangdong Province, China, categorizes streetscape accessibility elements for the disabled population and develops a recognition system based on an enhanced DeeplabV3+ framework. Semantic segmentation of streetscape accessibility elements was performed using 201,860 sampling points and 807,440 street view images. This study employed a combination of TrueSkill scoring, sentiment semantic analysis, LDA topic modeling, and LAB color clustering to quantify and visualize urban restorativeness. The impact of accessibility elements on urban restorativeness was explored using the XGBoost-SHAP model. Results indicate significant effects of architectural space constraints and high-density motor vehicle distribution on the safety of the disabled population’s mobility. The low pixel ratio of accessibility facilities and signs indicates insufficient infrastructure, while high landscape recognition rates exhibit significant spatial coverage heterogeneity. Detection rates for the disabled population in street views are nearly zero, highlighting a severe lack of inclusivity in pedestrian environments. Urban restorativeness exhibited a pattern of being higher in the south and east, and lower in the north and west. Among the accessibility elements, public green spaces (PGS) contributed the most to urban restorativeness, accounting for 25% of the impact, and the study elucidates the mechanisms through which various elements affect urban restorativeness. This absence stems from spatial competition, missing co-design, threshold effect conflicts, and color interference mechanisms. This research breaks away from traditional linear analytical frameworks and reveals the complex non-linear relationship between accessibility elements and urban restorativeness through the XGBoost-SHAP model, providing a quantitative decision-making tool for planning accessible environments in high-density cities. Full article

Monitoring urban biodiversity is essential for designing resilient and sustainable cities. Urban trees provide a wide range of ecosystem services (ESs), including air pollution reduction, urban heat island mitigation, and psychological benefits for citizens. Accurate and updated tree inventories are therefore essential tools for urban environmental monitoring. However, existing urban tree inventories are often incomplete or outdated, especially in private areas, limiting accurate ES assessment and urban planning. Earth observation satellite missions, particularly very-high-resolution multispectral (VHR-MS) imagery, offer a valuable alternative to field surveys for gathering information on urban environments. This work proposes a deep learning (DL) framework based on VHR-MS satellite imagery for the automatic generation of accurate urban tree inventories. DL models reduce human effort and save operational time by automatically learning complex representations and patterns from satellite imagery. The proposed encoder–decoder architecture extends prior point-based detection approaches by integrating a ResNet-50 backbone and a percentile-based threshold calibration procedure. Given the lack of suitable training data covering heterogeneous and densely vegetated urban environments, a dedicated dataset was constructed from VHR-MS satellite imagery acquired over the Lombardy region (Italy). The dataset encompasses a wide range of land uses and land covers, including residential and industrial zones, public parks, private gardens, and agricultural areas. Through the photointerpretation of more than 2800 images, precise coordinates for more than 50,000 manually annotated trees were obtained. The DL model is trained with point-level annotations, enabling precise localization of individual trees while reducing annotation ambiguity in dense urban contexts. On the Lombardy dataset at 30 cm/px resolution, the proposed framework achieves 86.72% Precision, 66.92% Recall, an F1-score of 75.54%, and a localization error of 1.473 m. Full article

Ensuring equitable access to urban green spaces is a major challenge in contemporary urban planning, with important implications for public health, well-being and environmental justice. However, comparative cross-city analyses based on harmonised methodologies remain limited, particularly across contrasting European climatic and morphological contexts. This study aims to: (i) assess the spatial distribution of public green spaces; (ii) evaluate neighbourhood-level accessibility and identify environmental justice inequalities; and (iii) examine how urban form and climatic context influence accessibility outcomes across the following three medium-sized European cities: Faro (Portugal), Tartu (Estonia) and Nitra (Slovakia). A GIS-based approach was applied using consistent criteria, including publicly accessible green spaces ≥ 1 ha, Euclidean buffers of 300 m and 500 m, and harmonised population data from the Global Human Settlement Layer (GHSL). Accessibility was quantified as the proportion of residents living within the defined walking-distance thresholds. The results reveal substantial inter- and intra-urban disparities. Tartu exhibits the highest green space provision (23.34 m²/inhabitant), while Faro presents the lowest (5.67 m²/inhabitant). However, accessibility patterns do not directly reflect provision levels: Faro achieves accessibility values at 500 m comparable to those of Tartu, whereas Nitra shows lower accessibility despite moderate provision. These findings demonstrate that accessibility is shaped primarily by the spatial configuration of green spaces rather than by overall provision alone. The study highlights the importance of integrating urban morphology and climatic context into environmental justice assessments and urban green infrastructure planning in order to reduce spatial inequalities in access to urban nature. Full article

Socio-spatial inequality remains a defining feature of climate vulnerability in South Africa, where historically formed patterns of segregation continue to shape uneven access to infrastructure, services, and environmental resources. This study presents a narrative review of how historical spatial planning has structured persistent disparities in exposure, sensitivity, and adaptive capacity across urban and rural landscapes. Evidence from the literature demonstrates that apartheid-era spatial planning established durable inequalities in water and sanitation provision, green infrastructure distribution, and proximity to environmental hazards, which continue to influence contemporary climate risk profiles. These inequalities are further reinforced through socio-economic stratification, particularly in the context of energy transitions, where access to private renewable energy systems is concentrated among wealthier households, while poorer communities remain dependent on unstable public electricity infrastructure. The review also incorporates land and soil systems as critical but often minimized dimensions of vulnerability, showing how soil degradation and unequal access to productive land contribute to livelihood insecurity and reinforce rural and peri-urban marginalization. In addition, emerging responses such as just transition frameworks, grassroots environmental justice movements, and energy democracy initiatives are examined with regard to the structural constraints that limit their effectiveness in addressing entrenched inequalities. Overall, the analysis highlights that climate vulnerability in South Africa is deeply embedded in historical and ongoing socio-spatial and socio-economic inequalities that continue to shape differentiated environmental outcomes. Full article

The housing sector in major cities is facing escalating challenges due to rapid population growth and land scarcity. Consequently, vertical growth has been adopted as a strategic solution to optimize land use while balancing economic, social, and environmental needs. This study examines the phenomenon of vertical growth of the Dammam Metropolitan Area (DMA) in Saudi Arabia, from an urban sustainability perspective, focusing on evaluating the current state of multi-story buildings, their determinants, and their impact on quality of life and infrastructure efficiency. This study utilizes a systematic review methodology and a conceptual approach to develop an integrated framework for sustainable vertical growth. Furthermore, an empirical validation was conducted by projecting this framework onto vertical housing projects in Dammam, focusing on challenges related to design, construction quality, shared service management, and the suitability of apartments for family needs. The results indicate that the shift toward vertical growth achieves land-use efficiency, limits random horizontal expansion, and provides economic opportunities. However, it faces social and cultural constraints, most notably the resistance of some families to changing traditional ownership patterns, limited privacy and green spaces, and challenges in building maintenance and operations. The study highlights the importance of integrating urban planning, governance, architectural design, and infrastructure to ensure the sustainability of vertical growth and provide suitable housing alternatives. The study recommends further field research to assess social acceptance, improve quality-of-life indicators, and develop policies encouraging sustainable vertical expansion in alignment with Saudi Vision 2030 and the 2030 Sustainable Development Goals (SDGs), ensuring cities are more resilient, efficient, sustainable, and liveable. Full article

Rapid urbanization in tropical Asia has led to a critical loss of green cover, exacerbating urban environmental challenges. While green roofs offer a promising Nature-based solution, their implementation in Asian countries is hindered by the prevalence of sloped roofs and high structural conversion costs. This research addresses this gap by developing a novel, lightweight vegetative roof tile designed as a direct structural replacement for conventional roofing materials in Sri Lanka. Existing roofing systems were studied, followed by a laboriousness study to determine the optimum tile dimensions. To meet these requirements, a modular tile measuring 900 mm × 1200 mm with a wave-shaped corrugated profile (a 10 mm rise and a 200 mm pitch) was engineered using SolidWorks 2024 and ABAQUS 2024 to meet Eurocode standards. Field investigations into plant health helped to finalize the depth of the roof tile as 2.5 cm. Following root penetration testing, fiber-reinforced plastic was selected for the tile structure to ensure durability while maintaining a total saturated weight of 52.5 kg/m². Biological testing demonstrated robust greening performance, with Axonopus compressus and Zoysia matrella achieving 100% survival rates and over 80% canopy coverage. This design methodology can be adapted across tropical Asia, contributing significantly to regional green infrastructure development and sustainable building practices. Full article

Due to climate change and rapid urbanization, cities worldwide face the dual challenge of improving flood resilience and providing accessible green space within limited land resources. Sponge City parks offer a landscape-based approach for integrating stormwater management with park services. However, how park morphology structures this combined performance remains insufficiently understood. This study examines 26 Sponge City parks in Shanghai and evaluates how node-, line-, and patch-type morphologies are linked to stormwater storage and service provision. Using geospatial analysis, DEM-derived catchment delineation, land-cover interpretation, and statistical analysis, this study compares estimated stormwater storage, storage efficiency, local park availability, and land-cover composition across different park morphologies. The results show that estimated performance of stormwater management and park service provision vary across morphological types, but these differences do not follow a simple node–line–patch hierarchy. Rather, the observed patterns are jointly shaped by park morphology, catchment setting, land-cover allocation, and surrounding urban context. These findings suggest that Sponge City parks should not only be evaluated by total stormwater storage. Their contribution depends on morphology, scale, catchment setting, land-cover allocation, and urban context. The study provides a morphology–performance perspective to support more differentiated planning of multifunctional green infrastructure. Full article

Elevated particulate matter (PM) concentrations pose severe health risks, necessitating green infrastructure mitigation. While deposition is well documented, wind-induced remobilization remains insufficiently quantified. This study establishes a size-fractionated (PM_1–2.5 and PM_2.5–10) wind-induced resuspension and net removal values for six Central European shrub and climbing species (Parthenocissus quinquefolia, Hedera helix, Viburnum opulus, Viburnum lantana, Ligustrum ovalifolium, and Cornus mas) under controlled laboratory conditions. Following standardized aerosol chamber loading, leaves were subjected to constant, laminar airflow velocity of 3 m/s. Numerical quantification of particle counts per unit area (cm²) was performed via scanning electron microscopy with backscattered electron signal processing. Results demonstrate significant interspecific variations. Parthenocissus quinquefolia was most efficient, retaining the highest particle counts (121.6 × 10³ particles/cm² for PM_2.5–10) and achieving net removal rates of 46.3% and 60.5% for PM_1–2.5 and PM_2.5–10, respectively, relative to initial deposition. Cornus mas exhibited the lowest net removal efficiency for coarse particles (21.2% for PM_2.5–10), while Hedera helix showed the highest fractional resuspension rates (k = 1.93 × 10⁻⁴ ∙ s⁻¹ and 2.01 × 10⁻⁴ ∙ s⁻¹, respectively). These species-specific traits are vital for optimizing urban green infrastructure. Ultimately, these findings provide actionable recommendations for targeted plant selection to maximize urban air purification. Full article

Against the backdrop of rapid urbanization, urban land-resource use faces the dual challenge of improving efficiency while maintaining ecological sustainability. Enhancing urban land green use efficiency contributes to the achievement of the United Nations Sustainable Development Goals, particularly SDG 11 and SDG 15. As an emerging governance approach for urban green infrastructure, the National Sponge City Policy (NSCP) aims to address urban waterlogging through nature-based solutions while improving land multifunctionality and ecological carrying capacity. Based on city-level panel data from 2005 to 2022, this study employs a difference-in-differences (DID) approach to identify the policy effect of the NSCP on ULGUE and further examines three transmission channels: innovation effects, infrastructure-support effects, and population-agglomeration effects. The novelty of this study lies in integrating the NSCP into the analytical framework of urban land green use efficiency, extending previous research that mainly focused on waterlogging control, water-resource management, and ecological benefits, and further developing a “policy intervention-factor reallocation-ULGUE improvement” mechanism pathway. The empirical results show that the NSCP significantly improves land green use efficiency in pilot areas, and this conclusion remains valid across multiple robustness checks. The mechanism analysis indicates that strengthened green innovation capacity, improved green infrastructure, and population agglomeration are key channels through which the policy effect is realized. Heterogeneity analysis further reveals that the policy effect varies across regions, dominant industrial structures, and industrial-base types. Overall, the NSCP promotes green spatial governance and efficient resource utilization, providing important institutional experience for coordinating ecological protection and urban development. Full article

Using panel data for 135 Chinese prefecture-level cities from 2007 to 2023, this study investigates the impact of new digital infrastructure on green finance development. The new digital infrastructure indicator is constructed based on the proportion of relevant keywords appearing in government work reports, while the green finance index is reconstructed using the entropy-weighting method across seven dimensions. The estimation results indicate that new digital infrastructure exerts a significant positive effect on green finance development. This conclusion remains robust after a series of robustness checks, including alternative variable measurements, winsorization treatment, and instrumental-variable estimation. Mechanism analysis reveals that industrial structure upgrading, particularly the advancement of industrial structure, serves as an important transmission channel. Further heterogeneity analysis shows that the promoting effect is more pronounced in cities with larger economic scale, those located outside major urban agglomerations, and cities with higher levels of financial resource aggregation. These findings provide empirical evidence for the role of digital infrastructure in fostering green finance and facilitating sustainable regional development. Full article

Rooftop farms are urban green infrastructure integrating food production, ecological regulation, and public services, and their management increasingly relies on data-driven approaches. However, open built environments, microclimatic heterogeneity, and limited sensor deployment challenge continuous monitoring and short-term prediction of rooftop plant growth. This study proposes and validates a virtual sensor-driven digital twin system using a rooftop tomato case in Xiamen, China. The system adopts a five-layer architecture comprising data acquisition, transmission, modeling, processing, and application service layers. By coupling a Long Short-Term Memory (LSTM) weather prediction model with the Decision Support System for Agrotechnology Transfer (DSSAT) crop growth model, a predictive virtual sensor module was developed to forecast leaf area index (LAI), aboveground biomass, phenology, and yield for seven days. Results show that the system links environmental data acquisition, LSTM–DSSAT prediction, database storage, and three-dimensional visualization, transforming rooftop plant growth into an updatable, predictable, and visualized digital twin object. The coupled model showed high predictive accuracy, with R² values of 0.9814 for LAI and 0.9966 for aboveground biomass, while supporting phenology and yield prediction. The system supports irrigation optimization, landscape management, and activity planning in sensor-constrained rooftop farms. Full article

The concepts of ecosystem services (ES), landscape services (LS), and urban ecosystem services (UES) have gained wide recognition within the international scientific community and are increasingly employed in urban and landscape planning and design, particularly in relation to green infrastructure and nature-based solutions. Nevertheless, their application in urban contexts often reveals theoretical and operational shortcomings, especially when ecological frameworks are transferred to cities without adequate consideration of their spatial, cultural, and design-specific characteristics. This paper examines the use of ecosystem services in urbanized environments and reflects on the contribution of urban planning theory to this evolving debate. While many operational approaches to UES have been developed within environmental and ecological disciplines, the complexity of urban contexts is still not fully captured, often resulting in interpretations that only partially address their multidimensional nature. This suggests an opportunity for stronger integration between ecological frameworks and urban planning perspectives. The article identifies key critical issues in the relationship between ecosystem services and urban environments, arguing for the need to reframe UES through a landscape-based approach. By introducing landscape services as a mediating concept between ecological processes and the built environment, the paper highlights the relevance of spatial structure, design intentionality, and landscape configuration in shaping environmental performance and urban sustainability. The proposed perspective aims to support the development of more context-sensitive and design-informed interpretations of urban ecosystem services, contributing to the advancement of sustainable built environment strategies. Full article