Search Results (115)

Due to rising temperatures, energy use, and thermal discomfort, urban heat islands (UHIs) pose a serious environmental threat to urban sustainability. This systematic review synthesizes peer-reviewed literature on various forms of green infrastructure and their mechanisms for mitigating UHI effects, and the function of urban green spaces (UGSs) in reducing the impact of UHI. In connection with urban parks, green roofs, street trees, vertical greenery systems, and community gardens, important mechanisms, including shade, evapotranspiration, albedo change, and ventilation, are investigated. This study emphasizes how well these strategies work to lower city temperatures, enhance air quality, and encourage thermal comfort. For instance, the findings show that green areas, including parks, green roofs, and street trees, can lower air and surface temperatures by as much as 5 °C. However, the efficiency of cooling varies depending on plant density and spatial distribution. While green roofs and vertical greenery systems offer localized cooling in high-density urban settings, urban forests and green corridors offer thermal benefits on a larger scale. To maximize their cooling capacity and improve urban resilience to climate change, the assessment emphasizes the necessity of integrating UGS solutions into urban planning. To improve the implementation and efficacy of green spaces, future research should concentrate on policy frameworks and cutting-edge technology such as remote sensing. Full article

Urban forests have a definition that has developed over time. Initially defined as urban greenery or as a measure of human impacts from urbanisation on forest systems, urban forests have varying definitions and are more often referred to for urban greenery. This urban greenery and measures of outcomes in sustainability terms are in urban landscapes and surroundings. With more specific definitions according to forest system definitions the complexity, multiple functions and advanced outcomes and functions of urban forest systems compared to other urban green space (UGS) types is more clearly understood. This article, using a literature review, discusses the definition of urban forests influencing how their impacts are measured, expected, and optimised. With clarified definitions, urban forest quality is considered in the literature review by search terms and topics of selected articles. Examples of selected indicators of the quality of urban forests and then of software and metrics used to plan and design urban greenery are presented. Refined wilding as a concept for urban functional biodiversity is then compared and used as a conceptual frame to analyse findings and prove the relevance and contribution of knowledge of the concept itself. Indicators of measures are provided, and they lead to a suggestion for clearer defining of urban forests. The findings can influence planning, design, implementation, and evaluation of urban forests as a higher-quality UGS type with multiple functions. Urban forests require improved defining of the value, quality, and coverage of their UGS type to be optimised. Refined wilding can give conceptual guidance for understanding the multiple and advanced functions that urban forest biodiversity provides for urban landscapes and populations. Urban tree canopy and urban forest systems in an urban landscape, as compared to other UGSs that connect to forested areas, either urban or peri-urban, are important differentiating definitional factors. Different metrics encourage a measure of this difference. The human realities of an urban landscape and population will determine whether and how a forest system can exist in a suburban landscape and are influential as to whether an urban tree canopy compared to a multifunctional diverse stratified semi-natural system of wild native and non-native varieties is established and can be maintained. The importance of maintaining newly established and existing urban forests and trees is a significant factor. Full article

Ride-hailing services have reshaped urban commuting patterns, yet the spatiotemporal mechanisms linking built environment features to ride-hailing demand remain underexplored. Existing studies often overlook the joint effects of origin–destination visual walkability. This study integrates ride-hailing GPS trajectories and geospatial data to quantify mobility patterns and built-environment indicators in Chengdu, China. A dual analytical framework combining global regression and localized modeling was applied to disentangle spatial–temporal influences of urban form and socioeconomic factors. The results reveal that population density, floor–area ratio, and housing prices positively correlate with demand, while road density and distance to city center exhibit negative associations. Visual walkability metrics show divergent effects: psychological greenery and pavement visibility reduce ride-hailing usage, whereas outdoor enclosure enhances it. Temporal analysis identifies time-dependent impacts of built environment variables on main urban area travel. Housing price effects demonstrate spatial globality, while population density and city-center proximity exhibit geographically bounded correlations. Notably, improved visual walkability in specific zones reduces reliance on ride-hailing by facilitating sustainable alternatives. These findings provide empirical support for optimizing urban infrastructure and land-use policies to promote equitable mobility systems. The proposed methodology offers a replicable framework for assessing transportation–land-use interactions, informing targeted interventions to achieve metropolitan sustainability goals through coordinated spatial planning and pedestrian-centric design. Full article

Sick building syndrome (SBS) poses a significant challenge in hospital settings, adversely affecting staff health, operational efficiency, and environmental quality. This study aims to investigate the prevalence and risk factors of SBS among medical staff in Chinese hospitals, advancing the literature by pinpointing actionable environmental and psychological factors tailored to this occupational group within China’s distinct regional context. A survey questionnaire was administered to 615 medical staff members across seven private hospitals located in the eastern coastal region of China. Data were collected using structured questionnaires. The survey encompassed 27 factors across four aspects, with respondents being asked to self-assess the severity of four types of SBS symptoms (never, rarely, occasionally, often). Multivariable binary logistic regression analysis was carried out to identify factors associated with SBS, based on odds ratios (OR) with a significance level of p < 0.05. The prevalence rates for skin symptoms, mucosal symptoms, and general symptoms were 32.8%, 61%, and 71.1%, respectively. Gender, psychological mood, visibility of water systems and greenery from the workspace, outdoor noise environment, indoor air quality, indoor natural lighting, department of occupancy, design of workspace, cleanliness, and control over the indoor environment (temperature, lighting) were identified as risk factors related to SBS symptoms. These findings underscore the critical role of modifiable building design and psychological factors in SBS occurrence, offering a novel perspective on hospital-specific risks in China compared to global studies. Enhancing indoor and outdoor environments—through increased greenery, noise reduction, improved air quality, better lighting, and greater environmental control—emerges as a vital strategy to mitigate SBS, with implications for hospital management and staff well-being. Full article

The confluence of global warming, the urban heat island effect, and alterations in the nature of underlying surfaces has led to a continuous escalation in the frequency, scale, and intensity of fires within urban green spaces. Mitigating or eliminating the adverse effects of such fires on the service functions of urban ecosystems, while enhancing the resilience of urban greening systems in disaster prevention and risk reduction, has become a pivotal challenge in modern urban development and management. Academic focus has progressively broadened from isolated urban and forest domains to encompass the more intricate environments of the Wildland–Urban Interface (WUI) and urban–suburban forests, with a particular emphasis on the distinctive characteristics of urban greening and in-depth research. This study employs a combination of CiteSpace bibliometric analysis and a narrative literature review to comprehensively examine three critical aspects of urban fire safety as follows: (1) the evaluation of the fire-resistant performance of landscape plants in urban green spaces; (2) the mechanisms of fire behavior in urban greening systems; and (3) the assessment and prediction of urban fire risks. Our findings indicate that landscape plants play a crucial role in controlling the spread of fires in urban green spaces by providing physical barriers and inhibiting combustion processes, thereby mitigating fire propagation. However, the diversity and non-native characteristics of urban greenery species present challenges. The existing research lacks standardized experimental indicators and often focuses on single-dimensional analyses, leading to conclusions that are limited, inconsistent, or even contradictory. Furthermore, most current fire spread models are designed primarily for forests and wildland–urban interface (WUI) regions. Empirical and semi-empirical models dominate this field, yet future advancements will likely involve coupled models that integrate climate and environmental factors. Fire risk assessment and prediction represent a global research hotspot, with machine learning- and deep learning-based approaches increasingly gaining prominence. These advanced methods have demonstrated superior accuracy compared to traditional techniques in predicting urban fire risks. This synthesis aims to elucidate the current state, trends, and deficiencies within the existing research. Future research should explore methods for screening highly resistant landscape plants, with the goal of bolstering the ecological resilience of urban greening systems and providing theoretical underpinnings for the realization of sustainable urban environmental security. Full article

As cities grapple with rising temperatures, the integration of urban greenery has gained recognition as a viable solution to mitigate these effects and enhance outdoor thermal conditions. This paper identifies widely used and emerging numerical models, highlights research gaps, and addresses key insights from the selected literature. Grounded in a PRISMA-based review, it offers insights to optimize strategies for mitigating urban heat islands and enhancing livability. The study explores synergies and trade-offs between green infrastructure and the built environment, aiming to provide insights into optimizing these elements for sustainable urban development. In this research, a mixed-methods approach was adopted by combining a systematic review and a bibliometric review using the PRISMA 2020 and VOSviewer 1.6.19 of 48 relevant studies. The PRISMA process led to the selection of the papers used for both the qualitative synthesis and bibliometric analysis. The results indicate a significant increase in research output in the last decades with a marked focus on green roofs, urban parks, and vertical greening systems. Our findings provide an elaborate conceptual framework that maps the interrelation between the research topics. Also, the study highlights existing research gaps in numerical modeling software for evaluating the cooling potential of urban greenery and its impact on thermal comfort across diverse urban contexts. The study recommends developing standardized frameworks and metrics for evaluating thermal comfort in urban areas, as well as suggesting that advancing numerical modeling software is essential to accurately simulate the complex interactions between urban greenery, microclimates, and urban forms. Full article

Civil, transportation, and hydraulic projects often result in concrete or rocky slope surfaces that have difficultly sustaining vegetation due to the lack of suitable substrate. A geosynthetic-based vegetation substrate was proposed to replace traditional soil-based vegetation substrates for vegetation restoration on steep concrete or rock surfaces. The geosynthetic vegetation substrate (GVS) provides the following four key functions for vegetation restoration: 1. Germination environment for seeds. 2. Room for root development and vegetation fixation. 3. Allowing water and nutrients to be transported and stored within the substrate. 4. Sufficient strength to support vegetation on steep or vertical surfaces. An 8-month field study revealed the following: vegetation leaf length peaked at over 400 mm by the 100th day, with annual fresh biomass reaching 2.99 kg/m² (94% from stems/leaves). The geosynthetics maintained 91.6% to 99.5% of initial tensile strength and 82.9% to 98.2% creep resistance. These findings establish GVS as a viable solution for ecological restoration on engineered slopes. Full article

Smart irrigation systems play a crucial role in water management, particularly in urban greening applications aimed at mitigating urban heat islands and enhancing environmental sustainability. These systems rely on soil moisture sensors to optimize water usage, ensuring that irrigation is precisely tailored to plant needs. This study evaluates the performance of four commercially available capacitive soil moisture sensors—TEROS 10, SMT50, Scanntronik, and DFROBOT—across three different substrates under controlled laboratory conditions. A total of 380 measurements were conducted to assess sensor accuracy, reliability, and the influence of insertion technique on measurement variability. Results indicate that while all sensors adequately cover the moisture ranges critical for plant health, their accuracy varies significantly, highlighting the necessity of substrate-specific calibration. TEROS 10 exhibited the lowest relative deviation and highest measurement consistency, making it the most reliable among the tested sensors. DFROBOT, despite being the least expensive, performed comparably to SMT50 and Scanntronik in certain conditions. The findings provide valuable insights for selecting and calibrating soil moisture sensors in smart irrigation applications, ultimately contributing to improved water efficiency, plant vitality, and sustainable building-integrated greenery. Full article

Nature-based solutions (NBS) encompass a diverse range of ecosystem-based strategies aimed at addressing urban sustainability challenges. Among these, skyscraper greenery emerges as a specialized application of NBS, integrating vertical vegetation systems into high-rise architecture to enhance carbon sequestration, mitigate urban heat islands, and improve air quality. By extending NBS principles into the vertical dimension of cities, this approach offers a scalable solution for climate adaptation in high-density urban environments. This study provides a comprehensive bibliometric analysis of skyscraper greenery research from 2003 to 2023, employing advanced tools such as CiteSpace and Bibliometrix to assess publication trends, elucidate key research themes, and identify prevailing knowledge gaps. The findings underscore the environmental benefits of skyscraper greenery, including its role in alleviating the urban heat island effect, improving air quality, and enhancing urban biodiversity. Additionally, economic advantages, such as reductions in energy consumption and operational costs, further highlight its multifaceted utility. Carbon sequestration within skyscraper greenery primarily occurs through vegetation’s photosynthetic processes, which are influenced by plant species, substrate composition, and system design. Thermal performance, ecosystem services, and biodiversity emerge as pivotal themes driving research in this domain. However, the field faces persistent challenges, including inconsistent methodologies for measuring carbon sequestration, a lack of technical standards, and limited public awareness. Future studies must prioritize the standardization of carbon measurement protocols, optimization of plant and substrate selection, and integration of skyscraper greenery within comprehensive urban sustainability frameworks. Addressing socio-economic barriers and enhancing policy incentives will be essential for widespread adoption. This review emphasizes the transformative potential of skyscraper greenery as a multifunctional strategy for climate mitigation, advancing resilient, low-carbon, and sustainable urban environments. Full article

Rapidly increasing construction and agglomeration in urban areas have made the urban heat island (UHI) problem a turning point for the world, as a result of notably rising earth temperature every year. UHI and its impacts on climate are somewhat linked to weather-related matters, natural disasters and disease outbreaks. Given the challenges posed by urbanisation and industrialisation in achieving sustainability, it is crucial to adopt intelligent and decisive measures to mitigate the adverse outcomes of UHI. Greenery surfaces have long been a significant focus of scientific research and policy development, reflecting their pivotal role in combating urban heat islands and promoting sustainable urban environments. This study critically reviews the potential of green infrastructure, including green roofs, facades, shrubs, and trees, so as to minimise UHI impacts in severe urban contexts. By synthesising findings from a wide range of empirical studies, it highlights key outcomes such as reductions in surface temperatures by up to 2 °C and improvements in outdoor thermal comfort indices by over 10 °C under specific conditions. Additionally, the paper introduces a comprehensive framework for integrating greenery systems into urban planning, combining passive cooling, air quality enhancement, and energy efficiency strategies. The findings reveal that extensive green roofs, in particular, are highly effective in reducing indoor cooling demands, while strategically placed trees offer significant shading and evapotranspiration benefits. This work provides actionable insights for policymakers and urban planners to boost sustainable and climate-resilient cities whilst addressing gaps in current research related to the long-term performance and cost-effectiveness of green infrastructure solutions. Full article

With global climate change causing temperature increases, even cooler regions like Finland are facing increasing heat risks. The city of Lahti is expected to experience a higher-than-average temperature increase, making heat risk mitigation essential. This study aims to assess present and future heat risks in Lahti using exposure and social vulnerability indicators to identify heat risk hotspots and provide strategies for mitigation within the city’s urban planning framework. The method utilizes a combination of Land Surface Temperature (LST) data (2014–2024), climate projections, and microclimate analysis to identify heat risk in the city. Geographic Information Systems (GIS) and ENVI-met modeling were employed to assess the relationship between land surface temperatures (LST), urban structure, and green infrastructure. Risk assessments were conducted using social and environmental vulnerability indicators, and future projections were based on a combined SSP2-4.5 scenario. The results show a significant increase in high-risk areas by 2040, rising from 9.79% to 23.65% of Lahti’s core urban area. Although the current urban planning framework of the city (Masterplan 2035) is effective in terms of maintaining exposure levels, the continued increase in projected air temperatures, as modeled based on outputs of the EC-Earth3-veg GCM, remains a concern. Microclimate modeling confirmed that urban greenery significantly reduces heat stress and improves thermal comfort. To address future heat risks, Lahti must integrate more green infrastructure into its urban design and identify seasonal heat mitigation methodologies. Additionally, the findings emphasize the need for adaptive planning strategies to mitigate rising temperatures and ensure urban resilience. Full article

Green areas, thanks to their relatively unified natural systems, play several key roles. They contribute to the proper functioning and sustainable development of cities and also determine the quality of life for their inhabitants. As a result, urban planners and policy-makers frequently aim to maximize the benefits of green spaces by creating various programs and strategies focused on green infrastructure development, such as the Green City initiative. One of the objectives of this program is to create new urban parks. This research focuses on developing a new method for selecting sites for urban parks, taking into account factors related to the environment, accessibility, and human activity. The research was carried out for the area of Ciechanów city. To make the city areas more attractive to residents, the authorities aim to increase green spaces and also revitalize the existing greenery. The combination of the Fuzzy AHP method and fuzzy set theory (selecting appropriate fuzzy membership for each factor), along with the use of large and diverse geospatial datasets, minimized subjectivity in prioritizing criteria and allowed for a fully automated analysis process. Among the factors analyzed, land use emerged as the most significant, followed by the normalized difference vegetation index (NDVI) and proximity to surface water. The results indicated that 16% of the area was deemed highly suitable for urban park development, while 15% was considered unsuitable. One-at-a-time (OAT) sensitivity analysis, based on changes in the weight of the land-use factor, revealed that a 75% reduction in weight resulted in a nearly 57.2% decrease in unsuitable areas, while a 75% increase in weight led to a 40% expansion of the most suitable locations. The potential park locations were compared with a heat map of urban activity in the city. The developed method contributes to the discourse on the transparency of location decisions and the validity of the criteria used, to promote sustainable urban development that provides residents with access to active recreation. Full article

Suburban areas are often used for large-scale developments such as hypermarkets, warehouses, and logistics zones, which lead to the fragmentation of natural areas and the visual degradation of the landscape. This study aimed to evaluate ways to reduce the negative impact of these developments by introducing green infrastructure (GI) elements. The analysis focused on warehouses in the inner ring of the planned green infrastructure system in the Wrocław Functional Area (GI WFA). This study involved three stages: (1) selecting a landscape-functional unit (LaFU) vulnerable to landscape degradation; (2) analyzing changes from the development of large-scale warehouses between 2004 and 2021; and (3) assessing the effect of new GI elements using the Sectoral Landscape Interior Analysis (SALI) method. Three models of GI implementation were proposed and evaluated both from a plan view and from a moving observer’s perspective. The results showed that large-scale developments reduce biologically active areas and disrupt landscape harmony. Model III, which includes green roofs, trees, and semi-permeable surfaces, significantly increased greenery and reduced visual degradation. It is recommended to apply the model and its variations in other similar developments for the benefit of the natural environment and landscape. Full article

Air pollution, including particulate matter (PM), impacts public health in urban areas. Vegetation acts as a natural filter, removing environmental pollution by absorbing large quantities of toxic substances on the foliage. Ambient air pollution problems are real in Armenia’s cities. This article presents the results of a study based on field sampling in July 2022 undertaken in urban parks and streets in the Armenian cities of Yerevan, Gyumri, and Vanadzor. The three cities have different climates and geographic conditions. The main research goal was a comparative study of the accumulation of PM by urban greenery. The most widespread tree species were selected for the study in each city: in Yerevan, Platanus orientalis and Quercus robur; in Gyumri, Fraxinus excelsior and Tilia caucasica; and in Vanadzor, Aesculus hippocastanum and Acer pseudoplatanus. The ecological status of trees was assessed through visual observation. Tree species with high PM uptake potential were identified and selected for inclusion in urban greening systems (Platanus orientalis, Fraxinus excelsior, and Quercus robur in Yerevan; Tilia caucasica, Sorbus persica, Fraxinus excelsior, and Populus alba in Grumri; Acer pseudoplatanus, Fraxinus excelsior, Aesculus hippocastanum, and Thuja occidentalis in Vanadzor.). High PM accumulation was found on the leaves of tree species in all of the investigated cities, with the largest amount recorded in Yerevan. In these cities, PM levels were higher in street plantations than in parks. All studied tree species have a high potential for PM absorption, demonstrating strong phytofilter properties. Therefore, they can be effectively used in their typical climatic zones and included in street plantings, gardens, and parks. These results can help urban planners and policymakers make informed decisions about urban greening initiatives to improve air quality and overall wellbeing. Full article

This study proposes a method to analyze urban greenery perceived from street-level viewpoints by combining geographic information systems (GIS) with image segmentation. GIS was utilized for a geospatial statistical analysis to examine anisotropy in the distribution of urban greenery and to spatialize image segmentation data. The result was the Visual Greenery Field (VGF) model, which offers a vector-based representation of greenery visibility and directionality in urban environments. The analysis employed street view images from selected geographic locations to calculate a Green View Index (GVI) and derive visual vectors. Validation confirmed the reliability of the methods, as evidenced by solid correlations between automatic and manual segmentations. The findings indicated that greenery visibility varies across the cardinal directions, highlighting that the GVI’s average value may obscure significant differences in greenery’s distribution. The VGF model complements the GVI by revealing directional coherence in urban greenery experiences. This study emphasizes that while the GVI provides an overall assessment, integrating the VGF model enriches the understanding of perceptions of urban greenery by capturing its complexities and nuances. Full article