Search Results (5,523)

Abundant and diverse urban bird communities promote ecosystem and human health in cities. However, the estimation of bird community structure requires large amounts of resources. On the other hand, calculating remotely sensed spectral indices is cheap and easy. Such indices are directly related to vegetation cover, built-up cover, and temperature, factors that also affect the presence and abundance of bird species in urban areas. Therefore, spectral indices can be used as proxies of the structure of urban bird communities. We estimated the abundance, taxonomic, functional, and phylogenetic diversity of the bird community at each of 18 50 m radius survey stations in the urban core area of Kavala, Greece. We also calculated eight spectral indices (means and standard deviations, SDs) around survey stations at 50 m, 200 m, and 500 m spatial scales. The land surface temperature SD (LST) was the most important proxy, positively related to bird abundance at the 50 m and 200 m spatial scales. At the same time, the mean green normalized difference vegetation index (GNDVI) was the most important proxy, negatively related to abundance at the 500 m spatial scale. Means and SDs of vegetation indices, such as the normalized difference vegetation index (NDVI), enhanced vegetation index (EVI2), soil-adjusted vegetation index (SAVI), and atmospherically resistant vegetation index (ARVI), were the most important proxies, positively related to taxonomic and functional diversity at all the spatial scales. The mean and SDs of LST, normalized difference moisture index (NDMI), and normalized difference built-up index (NDBI) variously affected taxonomic and functional diversity. The mean and SDs of LST were the best proxies of phylogenetic diversity at the 50 m and 500 m spatial scales, while the SDs of NDBI and NDMI were the best proxies at the 200 m spatial scale. The results suggest that several spectral indices can be used as reliable proxies of various facets of urban bird diversity. Using such proxies is an easy and efficient way of informing successful urban planning and management. Full article

This study explores the dynamic relationship between rural tourism and traditional architecture, emphasizing their joint role in cultural heritage preservation and sustainable development. Utilizing CiteSpace (6.3.R1) and VOSviewer (1.6.19) tools, this study analyzes 1356 publications from the Web of Science database and identifies three development stages: the initial stage (1996–2008), the growth stage (2009–2016), and the peak stage (2017–2024). The main findings highlight a focus on climate-adaptive design, community collaboration, and the integration of digital technologies in heritage preservation. Emerging topics, such as green building materials and virtual reality, have also gained increasing attention. Despite these advancements, limitations persist in terms of data diversity and the regional scope of research. Future studies should address how to balance heritage conservation with modernization needs, enhance interdisciplinary collaboration, and leverage digital tools to promote urban–rural interaction and ecological design. Full article

Particulate matter (PM) is a critical component of urban air pollution, with severe implications for human health and environmental ecosystems. This study investigates the capacity of green roofs at the Warsaw University Library to mitigate air pollution by analyzing the retention of PM and associated trace elements (TEs) across eight perennial plant species during spring, summer, and autumn. The results highlight significant interspecies variability and seasonal trends in PM retention, with peak levels observed in summer due to increased foliage density and ambient pollution. Sedum spectabile and Spiraea japonica emerged as the most effective species for PM capture, owing to their wax-rich surfaces and dense foliage, while Betula pendula demonstrated a high retention of TEs like manganese and zinc. Seasonal shifts from surface-bound PM (_SPM) to wax-bound PM (_WPM) in autumn underline the importance of adaptive plant traits for sustained pollutant capture. These findings underscore the critical role of green roofs in urban air quality management, emphasizing the need for species-specific strategies to maximize year-round phytoremediation efficacy. Expanding the implementation of diverse vegetation on green roofs can significantly enhance their environmental and public health benefits. Full article

The relocation of Indonesia’s capital to Nusantara in East Kalimantan has raised concerns about microclimatic impacts resulting from proposed land use and land cover (LULC) changes. This study explored strategies to mitigate these impacts by using dynamical downscaling with the Weather Research and Forecasting model integrated with the urban canopy model (WRF-UCM). Numerical experiments at a 1 km spatial resolution were used to evaluate the impacts of green and mitigation strategies on the proposed master plan. In this process, five scenarios were analyzed, incorporating varying proportions of blue–green spaces and modifications to building walls and roof albedos. Among them, scenario 5, with 65% blue‒green spaces, exhibited the highest cooling potential, reducing average urban surface temperatures by approximately 2 °C. In contrast, scenario 4, which allocated equal shares of built-up areas and mixed forests (50% each), achieved a more modest reduction of approximately 1 °C. The adoption of nature-based solutions and sustainable urban planning in Nusantara underscores the feasibility of climate-resilient urban development. This framework could inspire other cities worldwide, showcasing how urban growth can align with environmental sustainability. Full article

Urban heat islands (UHIs) increase urban warming and reduce outdoor thermal comfort due to changing surface characteristics and climate change. This study investigates the role of green walls (GWs) in mitigating UHI, improving outdoor thermal comfort, and reducing carbon emissions under current and future (2050) scenarios. Focusing on Via della Consolata, Turin, Italy, the study combines remote sensing for UHI detection and numerical simulations for thermal analysis during seasonal extremes. The results show that GWs slightly reduce air temperatures, with a maximum decrease of 1.6 °C in winter (2050), and have cooling effects on mean radiant temperature (up to 2.27 °C) during peak summer solar radiation. GWs also improve outdoor comfort, reducing the Universal Thermal Climate Index by 0.55 °C in the summer of 2050. The energy analysis shows that summer carbon emission intensity is reduced by 31%, despite winter heating demand increasing emissions by 45%. The study highlights the potential of GWs in urban climate adaptation, particularly in dense urban environments with low sky view factors. Seasonal optimization is crucial to balance cooling and heating energy demand. As cities face rising temperatures and heat waves, the integration of GWs offers a sustainable strategy to improve microclimate, reduce carbon emissions, and mitigate the effects of UHI. Full article

In the past two decades, Islamabad has experienced significant urbanization. As a result of inadequate urban planning and spatial distribution, it has significantly influenced land use–land cover (LULC) changes and green areas. To assess these changes, there is an increasing need for reliable and appropriate information about urbanization. Landsat imagery is categorized into four thematic classes using a supervised classification method called the support vector machine (SVM): built-up, bareland, vegetation, and water. The results of the change detection of post-classification show that the city region increased from 6.37% (58.09 km²) in 2000 to 28.18% (256.49 km²) in 2020, while vegetation decreased from 46.97% (428.28 km²) to 34.77% (316.53 km²) and bareland decreased from 45.45% (414.37 km²) to 35.87% (326.49 km²). Utilizing a land change modeler (LCM), forecasts of the future conditions in 2025, 2030, and 2035 are predicted. The artificial neural network (ANN) model embedded in IDRISI software 18.0v based on a well-defined backpropagation (BP) algorithm was used to simulate future urban sprawl considering the historical pattern for 2015–2020. Selected landscape morphological measures were used to quantify and analyze changes in spatial structure patterns. According to the data, the urban area grew at a pace of 4.84% between 2015 and 2020 and will grow at a rate of 1.47% between 2020 and 2035. This growth in the metropolitan area will encroach further into vegetation and bareland. If the existing patterns of change persist over the next ten years, a drop in the mean Euclidian Nearest Neighbor Distance (ENN) of vegetation patches is anticipated (from 104.57 m to 101.46 m over 2020–2035), indicating an accelerated transformation of the landscape. Future urban prediction modeling revealed that there would be a huge increase of 49% in urban areas until the year 2035 compared to the year 2000. The results show that in rapidly urbanizing areas, there is an urgent need to enhance land use laws and policies to ensure the sustainability of the ecosystem, urban development, and the preservation of natural resources. Full article

This study began from the assumption that community self-organization, characterized by independent action without external control, could be a suitable approach to developing green infrastructure and strengthening climate resilience in urban neighborhoods in Serbia. The study employed a mixed methods approach to verify this assumption, combining a technical case study and citizen survey analysis. Technical simulations demonstrated that self-organized community interventions on green infrastructure could contribute to climate resilience, even in neighborhoods with unfavorable conditions. However, the survey uncovered significant social constraints that cannot be resolved within the community, including a perceived lack of internal capacity; belief in the primacy of external actors; moderate cohesion level; lack of community platforms; limited understanding of the interconnections between resilience, climate change, and the role of green infrastructure; limited environmental literacy; and unclear collective action benefits. Based on these findings, the study proposed a multi-level and multi-phase model for improving neighborhood green infrastructure. The model emphasizes participatory citizen collaboration and applies to the current context of Serbian urban neighborhoods. Full article

Urban heat islands and increasing energy consumption in subtropical regions such as Taiwan present substantial challenges, particularly in densely populated areas where traditional green spaces are limited. To address these issues, vertical green systems (VGSs) have emerged as a sustainable solution to improve building energy efficiency and mitigate urban heat. This study investigates the impact of VGSs on building temperature regulation, specifically focusing on the effects of shading density and the distance from the building facade. Two experimental setups were assessed, with VGSs positioned at distances of 50 cm and 100 cm, and shading densities of 70% and 95%. Experiments conducted between May and September 2022, under full sunlight (average temperature of 33 °C), revealed that a VGS with a 95% shading density significantly reduced solar radiation to below 50 W/m². Additionally, it lowered interior temperatures by 0.5–2.1 °C and decreased surface temperatures by 5–12 °C when positioned 100 cm from the building. The VGS also enhanced temperature stability, maintaining interior temperature fluctuations within 1 °C compared to 4 °C in the control group. These results demonstrate that higher shading densities and increased distances from the building facade optimize temperature control and energy efficiency. The findings offer valuable insights for sustainable urban building design, suggesting that VGSs with greater shading densities and appropriate distances provide significant benefits in reducing solar radiation, surface temperatures, and interior temperature fluctuations. Full article

Time spent in nature leads to significant physical and mental benefits, but research is mixed on how much time in nature is necessary to affect change in adults’ mental health. This meta-analysis aimed to answer the question: what effect does length and interval of nature dosage have on adults with mental illness? The authors defined nature exposure as an experience in nature lasting at least 10 minutes and taking place in an actual natural setting. Because some studies indicated single experiences of exposure to nature (one-time) while others utilized multiple exposures to nature (interval), these studies were separated to determine differences between one-time versus interval exposure to nature. Following Cochrane Handbook for Systematic Reviews of Interventions and PRISMA reporting guidelines, this review included 78 studies published between 1990 and 2020. The present study found that one-time and interval nature exposure yielded different results for adults with a diagnosed mental illness and adults with symptoms of mental illness. Notably, shorter nature exposure delivered in intervals appeared to show positive significant effects, even more than one-time exposure. This finding has important implications for public health and green space preservation, as being outside for as little as 10 minutes and even in urban nature can improve adults’ mental health. Full article

In Dubai’s rapidly expanding urban landscape, addressing the adverse impacts of increasing automobile reliance is critical. Growing vehicle usage contributes to urban sprawl, prolonged commutes, infrastructure strain, and diminished green spaces. As a sustainable alternative, Transit-Oriented Development (TOD) promotes compact density, mixed-use environments, and transit-focused design, particularly suited for Dubai’s evolving context. This study evaluates the applicability of Transit-Adjusted Development (TAD) and TOD appraisal models, specifically the 3D and 6D frameworks, to stations on both the Red and Green Lines of the Dubai Metro. By examining Dubai’s complex urban form, the research identifies strategic interventions to enhance urban mobility and mitigate sprawl. Through an extensive literature review, key factors shaping sustainable urban transport such as accessibility, land-use diversity, density, design, distance to transit, and demand management are analyzed. This investigation highlights the suitability of implementing TOD principles at prominent metro stations, including Al Rashidiya, Al Qusais, and Mall of the Emirates. These stations hold significant potential for strengthening transit efficiency, fostering pedestrian-friendly neighborhoods, and reducing dependency on private vehicles. The findings underscore the importance of integrating TOD strategies into Dubai’s metropolitan planning. By doing so, Dubai can move toward a more connected, efficient, and environmentally responsible urban future. Full article

The assessment of urban ecological quality through remote sensing has gained prominence in recent years, due to the need for effective urban monitoring and improved territorial planning. This study presents a comprehensive review of the evolution of urban ecological-quality research from 1997 to 2023, focusing on trends, influential publications, and methodologies. From 1997 to 2023, research on urban ecological quality grew significantly, with annual publications increasing from 0.3 in the 1990s to six in the 2020s, driven by technological advancements, global collaboration, and alignment with policy goals like the UN Sustainable Development Goals (SDGs). Co-occurrence network analysis revealed six key research clusters, highlighting advancements in methodologies, spatial data integration, remote sensing, green sustainability, and multi-criteria frameworks, showcasing the field’s interdisciplinary evolution. China leads contributions, with 33.3% of research, followed by the United States and other countries, emphasizing robust international collaborations. Journals like Remote Sensing and Sustainability dominate, with highly cited publications from the 2010s and 2020s shaping the field’s direction. Prominent authors such as Xu H. and Zhang X. have played critical roles, though engagement in the field has surged more recently. Remote-sensing technologies, particularly in China, have been pivotal, with indices like the Remote-Sensing Ecological Index (RSEI) and its derivatives broadening analytical frameworks. These tools integrate ecological, socio-economic, and policy dimensions, aligning with global sustainability objectives and enhancing the field’s capacity to address urban ecological challenges and promote sustainable urban development. Urban ecological-quality research has evolved significantly, driven by advancements in remote sensing, interdisciplinary methods, and global collaboration. Future efforts should focus on expanding cross-regional studies, integrating comprehensive socio-economic and environmental indicators, and utilizing emerging technologies like machine learning, deep learning, and AI to address urbanization challenges and support sustainable development. Full article

The increasing pressure on urban systems and buildings in South Africa caused by rapid urbanization and climate change necessitates innovative approaches, including Nature-based Solutions (NbSs), to address environmental and societal challenges. As such, this study aimed to determine the dynamic role of NbSs in shaping the sustainability of South Africa’s built environment. Using a quantitative approach, the data were collected via a questionnaire survey, which targeted built environment professionals. Data analysis involved reliability testing, confirmatory factor analysis, and Spearman rank order correlation. The survey showed that green roofs, rainwater harvesting, cool roofing and pavements, as well as living walls, have received above-average attention in the country, while agricultural byproducts from concrete construction, bioswales, rain gardens, and algae-based materials are yet to be explored in the delivery of green buildings and sustainable urban areas. Overall, deploying NbSs promises positive environmental, societal, and economic impacts. The findings emphasize the need for stronger policies and regulations that promote the adoption of underutilized NbSs within the South African built environment. Theoretically, this study contributes to the existing discourse on sustainable development in South Africa. As the nation grapples with diverse environmental and social issues, this study becomes timely, as it provides crucial insights into how NbSs can address some of these challenges. Full article

Despite the widespread use of street view imagery for Green View Index (GVI) analyses, variations in sampling methodologies across studies and the potential impact of these differences on the results, including associated errors, remain largely unexplored. This study aims to investigate the effectiveness of various GVI calculation methods, with a focus on analyzing the impact of sampling point selection and coverage angles on GVI results. Through a systematic review of the extensive relevant literature, we synthesized six predominant sampling methods: the four-quadrant view method, six-quadrant view method, eighteen-quadrant view method, panoramic view method, fisheye view method and pedestrian view method. We further evaluated the strengths and weaknesses of each approach, along with their applicability across different research domains. In addition, to address the limitations of existing methods in specific contexts, we developed a novel sampling technique based on three 120° street view images and experimentally validated its feasibility and accuracy. The results demonstrate the method’s high reliability, making it a valuable tool for acquiring and analyzing street view images. Our findings demonstrate that the choice of sampling method significantly influences GVI calculations, underscoring the necessity for researchers to select the optimal approach based on a specific research context. To mitigate errors arising from initial sampling angles, this study introduces a novel concept, the “Green View Circle”, which enhances the precision and applicability of calculations through the meticulous segmentation of observational angles, particularly in complex urban environments. Full article

Urban heritage areas are characterized by unique architectural and cultural elements, often coupled with specific challenges such as vulnerability to climate change and urban heat islands (UHIs). Investigating thermal performance at the neighborhood scale is crucial for preserving these areas while enhancing thermal comfort and sustainability. The aim of this research is to prove that the application of passive cooling techniques and urban green spaces can reduce the urban temperature and upgrade the conditions of thermal comfort, even in densely populated areas with small urban void spaces. ENVI-Met, a microclimate modeling software for evaluating the thermal performance of heritage urban neighborhoods, is applied in order to assess current thermal conditions, identify hotspots, perform simulations, and propose mitigation strategies to improve thermal comfort while preserving the architectural and cultural integrity of these areas. The test bed of this study is a historical urban area in central Athens, “Academia Platonos”. The methodology is mainly based on the design of different parametric scenarios for the study area, by integrating specific parameters that characterize the area of Academia Platonos (elevation distribution, materials, vegetation, etc.) and the microclimatic simulations of the area, designed in the digital environment of ENVI-Met. Five scenarios are implemented and studied in the study area, four of which are based on the existing situation of the study area, either by changing the construction materials of the built environment (passive cooling through cool material techniques) or by enhancing the area with vegetation. One of the most important findings of this study is that the use of plants with a high foliage density is more effective in reducing air temperature than the selection of species with sparse foliage. Full article