Search Results (117)

Generative artificial intelligence (GAI) is emerging as a disruptive force, both economically and socially, with its use spanning from the provision of goods and services to everyday activities such as healthcare and household management. This study analyzes the enabling and inhibiting factors of GAI use in Spain based on a large-scale survey conducted by the Spanish Center for Sociological Research on the use and perception of artificial intelligence. The proposed model is based on the Theory of Planned Behavior and is fitted using machine learning techniques, specifically decision trees, Random Forest extensions, and extreme gradient boosting. While decision trees allow for detailed visualization of how variables interact to explain usage, Random Forest provides an excellent model fit (R² close to 95%) and predictive performance. The use of Shapley Additive Explanations reveals that knowledge about artificial intelligence, followed by innovation orientation, is the main explanatory variable of GAI use. Among sociodemographic variables, Generation X and Z stood out as the most relevant. It is also noteworthy that the perceived privacy risk does not show a clear inhibitory influence on usage. Factors representing the positive consequences of GAI, such as performance expectancy and social utility, exert a stronger influence than the negative impact of hindering factors such as perceived privacy or social risks. Full article

The present review summarizes the existing knowledge regarding the afforestation of sand dunes. Our main focus was on the role of trees in stabilizing and rehabilitating these complex ecosystems. We analyzed 937 publications through a systematic bibliometric review and then proceeded to select 422 articles that met our criteria. This methodological approach—combining a comprehensive bibliometric analysis with an in-depth traditional literature review—represents a novel contribution to the field and allows for both quantitative trends and qualitative insights to be captured. This was then complemented by an in-depth literature review. Our results sustain the global importance of this subject, as they include studies from more than 80 countries, with a focus on the USA, China, Australia, and Japan. We have also identified a series of main tree species that are usually used in the afforestation of sand dunes (Pinus, Acacia, Juniperus) and then proceeded to analyze their ecologic and socio-economic impact. As such, we have analyzed case studies from all continents, showcasing a variety of strategies that were successful and adapted to local conditions. This did not exclude challenges, mainly invasive species, low survival rates, and effects on biodiversity and stabilization. The main factors that impact the success of afforestation are represented by topography, soil structure, water dynamics, and climate. Unlike previous reviews, this study offers a global synthesis of both the scientific output and the applied outcomes of sand dune afforestation, bridging the gap between research and practice. As such, afforestation has a positive impact on soil fertility and carbon sequestration but can also present a major risk to native ecosystems. In this context, the present review highlights the need to adopt strategies that are unique for that site, and that must integrate all aspects (ecological, social, economic) to ensure good results. Our ISI-indexed literature review helped us to address the link between the current knowledge, research trends, and future topics that must be addressed. Full article

Social life cycle assessment (SLCA) systematically assesses the social impacts of the entire life cycle of a product system or service that stretches from extraction and processing of raw material to recycling and final disposal. Most SLCA techniques highlight negative impacts and their reductions, while positive social impacts and their increments have received less attention. Positive social impacts highlight chances for improving human well-being and present a complete picture of a product’s overall social impact. The literature shows that norms for defining positive impacts and methodologies for assessing them are not yet fully established and retain lacunae, which can lead to conflicts in the usage of the term “positive impacts”. Therefore, we develop a novel SLCA methodology that can straightforwardly distinguish between the “good” and “bad” social state at the subcategories in the latest version of methodological sheets for SLCA. Here, we refrain from using the terms “positive” and “negative” as those terms retain scattered consensus; instead, we use the fresh terms “good” and “bad”, which are simpler to understand. To describe the positive changes in good and bad states, we introduce two new terms into SLCA: “more-good” (improvements within the good domain) and “less-bad” (improvements within the bad domain). Good and bad social domains are distinguished using compliance levels (e.g., industry standards), referred to as baseline requirements. Social impacts were evaluated using the social performance index (SPI). The SPI is computed by multiplying social performance levels with working hours at the factory/company level. Social performance levels are evaluated using a decision tree and a systematically proposed set of indicators representing basic requirements and good and bad domains of each subcategory. Working hours were used as an activity variable, estimated using a working hour model. This enables the application of the SPI across the supply chain of a product by linking social impacts to the time spent on each activity. Full article

New economic development trends have brought challenges and transformation directions to China’s urban planning process, in which the relationship between supply and demand of urban housing needs urgent optimisation. Using data on multiple types of facilities and housing price information, this paper analysed spatial differentiation characteristics of housing prices in Nanjing. An evaluation indicator system of human environment quality was established under the amenity connotation based on three dimensions of natural amenity, artificial amenity and social atmosphere amenity, and the Gradient Boosting Decision Tree (GBDT) algorithm was applied to investigate the impact of different amenity factors on housing prices. The findings revealed that amenity factors have a positive impact on housing prices, with artificial amenity as the most influential. Partial amenity factors demonstrated nonlinear relationships with housing prices with obvious threshold effects. Based on these findings, this paper proposed targeted supply and demand optimisation strategies in accordance with the above three dimensions, aiming to offer practical recommendations and guidance for improving the quality of the urban habitat. Full article

Urban regeneration is pivotal to sustainable development, requiring innovative strategies that align social dynamics with spatial configurations. Traditional paradigms increasingly fail to tackle systemic challenges—neighborhood alienation, social fragmentation, and resource inequality—due to their inability to integrate human-centered spatial governance. This study addresses these shortcomings with a novel multidimensional framework that merges social perception (life satisfaction) analytics with spatial quality (GIS-based) assessment. At its core, we utilize geospatial and machine learning models, deploying an ensemble of Gradient Boosted Decision Trees (GBDT), Random Forest (RF), and multiscale geographically weighted regression (MGWR) to decode nonlinear socio-spatial interactions within Suzhou’s community environmental matrix. Our findings reveal critical intersections where residential density thresholds interact with commercial accessibility patterns and transport network configurations. Notably, we highlight the scale-dependent influence of educational proximity and healthcare distribution on community satisfaction, challenging conventional planning doctrines that rely on static buffer-zone models. Through rigorous spatial econometric modeling, this research uncovers three transformative insights: (1) Urban environment exerts a dominant influence on life satisfaction, accounting for 52.61% of the variance. Air quality emerges as a critical determinant, while factors such as proximity to educational institutions, healthcare facilities, and public landmarks exhibit nonlinear effects across spatial scales. (2) Housing price growth in Suzhou displays significant spatial clustering, with a Moran’s I of 0.130. Green space coverage positively correlates with price appreciation (β = 21.6919 ***), whereas floor area ratio exerts a negative impact (β = −4.1197 ***), highlighting the trade-offs between density and property value. (3) The MGWR model outperforms OLS in explaining housing price dynamics, achieving an R² of 0.5564 and an AICc of 11,601.1674. This suggests that MGWR captures 55.64% of pre- and post-pandemic price variations while better reflecting spatial heterogeneity. By merging community-expressed sentiment mapping with morphometric urban analysis, this interdisciplinary research pioneers a protocol for socio-spatial integrated urban transitions—one where algorithmic urbanism meets human-scale needs, not technological determinism. These findings recalibrate urban regeneration paradigms, demonstrating that data-driven socio-spatial integration is not a theoretical aspiration but an achievable governance reality. Full article

Social media and mobile devices, commonly referred to as socimedevices, have become integral to students’ daily lives, influencing both their academic performance and overall well-being. Depending on usage patterns, these technologies can positively or negatively impact students’ education. In recent years, many researchers have introduced several models, including neural networks (NNs), machine learning (ML), and deep learning (DL), to identify the impact on student academic performance using a socimedevice. Here, we propose a comparative model named the MLRec model, where we assess how well different machine learning methods predict the dynamics of student life and provide a recommendation to society, parents, and academic advisors. Here, we have preprocessed our real dataset by various methods, which is collected from 10 schools and has 25 features totaling 275 instances from different districts of Bangladesh. After that, we applied 15 ML algorithms for training and testing. Then, we compared the algorithms using criteria such as accuracy, Mean Squared Error (MSE), Root Mean Squared Error (RMSE), coefficient of determination (R²), Explained Variance (EV), and Tweedie Deviance Score (D²). Subsequently, we selected the Extra Tree Classifier (ETC) algorithm based on its superior performance, achieving an accuracy of 86%, an MSE of 25%, and an EV of 40%. We also used Explainable AI (LIME and SHAP) techniques to visualize the root causes of social networks’ effects on students’ school performance. Our results show that using social media excessively adversely affects academic pursuits. Full article

Landslides are one of the most severe geohazards globally, causing extreme financial and social losses. While InSAR time-series analyses provide valuable insights into landslide detection, mapping, and monitoring, AI is also implemented in a variety of geohazards, including landslides. In the present study, a machine learning (ML) landslide susceptibility map is proposed that integrates the geotectonic units of Greece and incorporates various sources of landslide data. Satellite data from Persistent Scatterer Interferometry analysis, validated by geotechnical experts, resulted in an extremely large dataset of more than 3000 landslides in an area of interest, including the most landslide-prone area in Greece. The gradient-boosted decision tree was employed in the landslide susceptibility mapping. The model was trained on three geotectonic units and five prefectures of Western Greece and performed well in predicting landslide events. Finally, a SHAP (SHapley Additive exPlanations) analysis verified that precipitation and geology, which are the main landslide-triggering and preparatory factors, respectively, in Greece, positively affected landslide characterization. The innovation of the proposed research lies in the uniqueness of this newly created dataset, comprising a remarkably large number of landslide and non-landslide locations in Western Greece. By adopting a strict machine learning methodology, the spatial autocorrelation effect, which is overlooked in similar studies, was reduced. Also, leveraging the unique features of the geological formations, the model was trained to incorporate differences in the landslide susceptibility of formations located in different geotectonic units with variant geotechnical characteristics. The proposed approach facilitates the generalization of the model and sets a strong base for the creation of a national-scale landslide susceptibility mapping and forecasting system. Full article

The increase in demand for timber and global eucalyptus cultivation has generated controversy regarding its potential impact on water resources, especially in regions with limited water availability, with the myth that “eucalyptus dries out the soil” being spread. In this regard, this review study addresses the factors that influence water consumption by eucalyptus, providing solutions to reduce, mitigate, or even avoid any impact on water resources at a given site. In this manuscript, the authors reviewed 200 works published from 1977 to 2024 to survey all information to confirm if the factual background allows someone to state if eucalyptus can deplete soil water. With a solid scientific basis, many research studies show that eucalyptus’ water demand is comparable to that of native forest species and crops worldwide and that species, age, edaphoclimatic conditions, and forest management practices mainly influence water consumption. On the other hand, it is a hasty conclusion that some eucalyptus species can contribute to reduced soil water. Effectively, without proper management, the environmental impacts of a eucalyptus plantation are the same as those of poorly managed crops. Indeed, if cultivated with proper agroclimatic zoning and correct management practices, the growth of eucalyptus culture is an environmentally correct activity. By adopting measures such as maintaining sufficient native forest cover to ensure ecosystem services, cultivation based on zoning maps, and considering local specificities (e.g., deeper, sandier soils are preferable), selection of species appropriate to the carrying capacity of each region, adoption of lower planting densities, and reduced rotation, eucalyptus cultivation will not negatively affect water resources. Sustainable eucalyptus cultivation has several economic and environmental benefits, in addition to positive social impacts on surrounding communities in terms of employment and family income, and its sustainable management can guarantee its viability, demystifying the idea that eucalyptus trees cause water scarcity. The works reviewed herein demonstrated no solid ground to sustain the eucalyptus’ water depletion myth. Full article

This article explores the ecological role of strawberry tree forests (Arbutus unedo L.) in the resilience of Portuguese forest ecosystems and their relationship with plant production as a source of food. It discusses the importance of the strawberry tree in fire combat and the improvement of agroforestry areas by mitigating erosion and augmenting soil organic matter. The multifunctionality of their fruits, emphasizing their utilization in food and beverage production, is also addressed. Moreover, the socio-economic and cultural significance of fruit production, emphasizing its role in sustainable development, is analyzed. The diversity of beverages (spirits, liquors, and gin) and food products (jams, jellies, etc.) effectively contribute to have a positive social and economic impact on the local populations and tradition maintenance. Moreover, the bioactive compounds in different parts of the plants and fruits have applications in pharmacology and cosmetics. Finally, the valorization of strawberry tree spirits mush waste as a source of natural dyes for textiles is discussed as a promising research topic to be explored in the future. Full article

The aim of this research is to analyze the drivers of young urban residents’ readiness to actively participate in agro living lab (ALL) projects, contributing to sustainable and resilient urban systems. This study is based on a literature review and a survey conducted among students from selected universities in Kraków. Using factor analysis and regression trees, the profiles of the individuals most inclined to participate in ALL projects were identified. The analysis included a wide range of variables, such as education, proximity to agriculture, perception of urban agriculture, and various sociodemographic characteristics. These findings indicate that readiness to engage in ALL projects is strongly associated with respondents’ field of study, interests, and individual experiences. Moreover, participants with positive attitudes toward urban agriculture and personal relationships with farmers were more likely to express a readiness to participate in ALLs. These results provide new insights into the social conditions influencing ALL participation and offer valuable guidance for developing strategies to promote the active engagement of urban populations in sustainable food initiatives. Full article

Based on social exchange theory, social psychology theories, and despotic leadership theory, this study explored the impact of petty tyranny on employee turnover intentions. Specifically, the authors examined the mediating effect of toxic workplace environments through emotional exhaustion on this relationship among academicians. The authors surveyed 421 employees using a five-point Likert scale across six universities in Lahore, Pakistan and employed a time-lag research design. Partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) analyses, including performance comparisons of various algorithms, were used to test the relationships among the variables. The analysis results of the study suggested that petty tyranny does not significantly and directly contribute to employee turnover intentions; however, this relationship is positively and significantly mediated by toxic workplace environments and emotional exhaustion. The results indicated that toxic workplace environments and emotional exhaustion also have a direct effect on employee turnover intentions. A serial full mediation was found between petty tyranny and turnover intentions, mediated through a toxic workplace environment and emotional exhaustion. Similarly, results from the performance comparison of various algorithms reveal trade-offs between precision, recall, and processing time, with ZeroR and Stacking REP Tree emerging as the most effective in terms of overall model accuracy. This study contributes to the literature by examining petty tyranny, workplace environment, and emotional exhaustion, highlighting the need to address tyrannical behavior to improve employee retention in academic organizations. Our study offers valuable practical implications, emphasizing addressing these issues to reduce turnover in academic organizations. Our study also provides recommendations for future research directions. Full article

In recent decades, the quality of life in cities has declined due to rapid growth. The global ecological crisis and climate change are leading to pollution and overheating of the environment, resulting in deteriorating health conditions and social segregation. The fact is that greenery in urban environments significantly improves people’s well-being, health, and satisfaction. The research presented in this paper was focused on the issue of greenery in residential neighborhoods, which has many positive effects in addition to the health benefits. The purpose of the article is to check whether greenery also has an artistic effect in addition to environmental benefits. In the research, the importance of greenery was highlighted by examining two residential neighborhoods in the urban environment of the city of Ljubljana, Slovenia. Elements of greenery were analyzed from the perspective of “human scale”, which refers to the size, texture, and arrangement of physical elements that correspond to human size and proportions. There were seven indicators highlighted that were used to verify the human scale: area connectivity, readability, and completeness of the ambience; transparency of tree canopies, and perception of artistic composition principles. The results show that the presence of greenery in residential neighborhoods is an important element of the human scale. Full article

In the context of increasingly extreme high temperatures during the summer in cold regions, the spatial vitality of urban blocks is significantly affected. In order to enhance the summer vitality of sustainable urban neighborhoods, this study explores the mechanisms of street elements and vitality under the guidance of thermal comfort. Taking an urban pedestrian street in Sanlitun, Beijing, during a summer day as the research subject, this study systematically analyzed the impact of environmental factors such as street orientation, aspect ratio, three-dimensional greenery of trees, and tree spacing on the thermal comfort of street space. By quantitatively analyzing the relationship between thermal comfort and pedestrian vitality in different street spaces, this study reveals the mechanisms by which environmental factors enhance the summer usability and spatial vitality of pedestrian streets. The research results indicate that street vitality shows a gradually increasing trend throughout the day, particularly between 12:00 and 16:00, when thermal comfort significantly affects people’s vitality. Furthermore, univariate analysis reveals that the street aspect ratio is the primary factor influencing the spatial vitality of the southern section of the Sanlitun Taikoo Li pedestrian street, with a characteristic average of 8.28 over a week. Finally, the results of the multi-factor analysis show that, when enhancing street vitality, priority should be given to the interactions between street aspect ratio, tree greenery, temperature, and physiological equivalent temperature, where the correlation coefficient between street aspect ratio and vitality is 0.70, and that between temperature and physiological equivalent temperature is 0.63, both showing positive correlations. Research shows that, in street planning, a reasonable building aspect ratio (1:2 to 1:4) and scientific green design are key. By carefully controlling the planting density and greenery configuration of trees, optimal street space effects can be achieved. This study proposes sustainable urban design strategies by optimizing street space design and improving environmental thermal comfort, aiming to enhance the summer vitality of urban blocks in cold regions and advocate for a sustainable development model that combines ecological and social benefits. Full article

Historically, the Ricote Valley Region (Region of Murcia) has based its economic development on traditional agriculture based on the exploitation of water resources for the cultivation of citrus and fruit trees. Since the middle of the last century, industrial and service development, urban attraction and agricultural policies have generated a multitude of social, population and territorial transformations in this geographical area. The Ricote Valley Region has suffered an unprecedented demographic decline, making it one of the areas with the greatest depopulation problem in SE Spain. The demographic emptying of this region brings with it other associated problems, such as the abandonment of the land and traditional farming systems, with the consequent change in land use. This work aims to analyse both the demographic transition experienced by this Murcian region, the changes in land use/land cover generated and the possible relationship between both phenomena. In order to address these objectives, the methodology and sources used have been diverse. In this regard, population dynamics have been assessed by analysing the evolution experienced by different demographic indicators whose information has been obtained from the National Institute of Statistics (NIS) and the Murcia Regional Statistics Centre (MRSC). In turn, the transformations of the territorial surface have been obtained by comparing the representation of land cover/use present in the years 1990 and 2018 by means of georeferenced spatial information elaborated by the Corine Land Cover project (CLC). The results obtained show that, despite the fact that the region as a whole has experienced a positive population evolution, three of the seven municipalities that comprise it have been suffering the most significant depopulation process in their history for decades. In addition, the analysis of changes in land cover/land use revealed that 27.5% of the territory of the region has been transformed over the last 30 years, with a significant increase in permanently irrigated land. Finally, the correlation of information derived from the two proposed objectives shows a significant relationship between demographic evolution and the degree of territorial transformation suffered by each of the municipalities studied. Full article

According to current studies, the thermal effects of global warming will affect urban areas more intensely. In the face of this situation, strategies for the improvement and management of urban green spaces are becoming increasingly important in sustainable landscape design. These strategies promote social sustainability by positively affecting individuals’ physical and psychological well-being, taking into consideration ecological sustainability. Projections regarding global warming emphasize that the density of hardscapes and green spaces, the selection of plant species, and the distribution of plants considered within the scope of this study should be taken into account. This research was conducted in the Görükle neighborhood of Bursa, focusing on the role of temperature-regulating elements in 14 neighborhood parks. Systematic temperature measurements were carried out in the research area on the 10th, 20th, and 30th of July and August, specifically between 12:00 and 13:00, during peak temperature hours. The presence of parks that are close to each other and relatively far away from each other in the study area was seen as advantageous to filter the effects of plant differences in similar conditions. Furthermore, evaluating these various factors together highlights the multifaceted nature of thermal comfort. Designated temperature measurement points included three points (hard surfaces and hard surfaces surrounded by vegetation and planted green spaces) in each park. An analysis utilizing SPSS and the RayMan program revealed that parks with a softscape to hardscape ratio of approximately two to one experienced temperature reductions of 2.5 to 3 °C. Furthermore, the findings indicate that coniferous trees have a more significant impact on thermal comfort compared to deciduous trees. The significant differences identified in this study underscore essential considerations for urban design processes aimed at achieving sustainability. Full article