Search Results (343)

Optimizing solar access is fundamental for developing ‘Sustainable Healthy Cities’ and ensuring occupant well-being in high-radiation climates like Egypt. This study establishes an environmental methodology to enhance urban sustainability by controlling solar exposure to facades to mitigate health risks and reduce energy demand. The methodology involved a verified simulation using Autodesk Revit with Insight, followed by a comparative analysis of 45 scenarios. These scenarios evaluated the impact of orientation, geometry, urban spacing, etc., on solar performance. Additionally, the paper discusses the prospective integration of Generative AI and algorithmic engines to automate solar access layouts, proposing a roadmap for future AI-driven sustainable urban planning. The results indicate that strategic adjustments in urban morphology significantly improve solar access levels, directly influencing indoor environmental quality. The findings serve as a scalable framework applicable to regions like Kafr El-Sheikh or adaptable to extreme climates like Aswan, aligning with the UN Sustainable Development Goals (SDGs 3 and 11). In conclusion, this study demonstrates that environmental simulation provides a pragmatic pathway for architects to achieve integrated sustainability and healthy urban standards. This research offers a foundation for future sustainability investigations into thermal comfort and non-linear interactions between urban variables to refine solar access strategies in diverse contextual conditions. Full article

Housing acquisition decisions play a strategic role in shaping urban habitability and long-term sustainability, as they directly influence the quality of the built environment and users’ well-being. From an architectural and urban perspective, housing selection can be understood as an assessment of urban habitat quality, in which economic, spatial, social, environmental, and risk-related dimensions interact to define the conditions of livability. This study proposes a multi-objective decision-support framework that integrates evolutionary optimization algorithms (NSGA-II and MOEA/D) with multi-criteria decision analysis (TOPSIS) to support sustainable housing decisions. The model simultaneously considers four conflicting objectives: minimizing acquisition cost, minimizing spatial accessibility and disutility from essential services, maximizing socio-spatial safety and long-term habitat value, and minimizing environmental and territorial risk. A real-world case study in the Tampico metropolitan area demonstrates how the proposed approach generates Pareto-optimal housing alternatives that explicitly reveal trade-offs between habitability dimensions. The resulting non-dominated solutions are subsequently ranked using TOPSIS to reflect user-centered preferences and facilitate transparent decision-making. The results show that the proposed framework effectively operationalizes the concept of urban habitat quality through an explainable, customizable computational tool, thereby contributing to sustainable urban development, resilience, and informed housing choices. This research supports the technological enablement of habitat assessment and aligns with the objectives of SDG 11: Sustainable Cities and Communities, offering a replicable methodology for urban and architectural decision-making contexts. Full article

Africa has the world’s youngest population, and many young adults rely on informal or temporary employment, making digital financial literacy (DFL) critical for long-term financial resilience and sustainable economic development. In this paper, we present findings from a two-phase mixed-methods study. In Phase 1, we surveyed 300 Rwandans aged 18–32 on financial knowledge, digital skills, and financial behaviors to explore key gaps in DFL. Results show modest financial knowledge and moderate digital literacy, with common budgeting and saving practices but key cybersecurity awareness-practice gaps. Gender and education disparities are also evident. To address the low loan literacy observed in Phase 1 findings, we conceived an AI-enabled mobile money loan literacy chatbot and explored user interactions with the chatbot, along with perceived usability and usefulness in Phase 2. Our findings highlight design considerations for promoting intention to adopt DFL interventions. The study aligns with the United Nations Sustainable Development Goals (SDGs) 1 (No Poverty), 5 (Gender Equality), 8 (Decent Work and Economic Growth), 9 (Industry, Innovation and Infrastructure), and 10 (Reduced Inequalities). Full article

(1) Background: The global educational landscape increasingly necessitates pedagogical approaches capable of addressing complex socio-environmental challenges. While STEAM education is widely adopted, its contribution to the 2030 Agenda and Global Competence requires further theoretical consolidation. This study proposes a reconceptualization of STEAM as a Transformative STEAM Framework, explicitly aligned with Sustainable Development Goals (SDGs) 4, 5, and 10, as well as the development of Global Competence. (2) Methods: Guided by PRISMA 2020 principles for study retrieval, a search for peer-reviewed research, literature reviews, and relevant institutional documents conducted in Scopus, Web of Science, and ERIC yielded a final corpus of 32 studies (2014–2024). A multi-layered methodological design was applied, integrating a Critical Interpretive Synthesis (CIS) framework for conceptual evaluation alongside a hybrid thematic synthesis to ensure rigorous data coding. (3) Results: The findings indicate that STEAM bolsters Global Competence by fostering intercultural interaction and critical thinking, demonstrating robust alignment with quality education (SDG 4) and gender equality (SDG 5). However, significant gaps remain concerning broader structural inequalities (SDG 10) and the paucity of validated, multidimensional assessment tools for evaluating Global Competence. (4) Conclusions: This review establishes a conceptual framework that positions STEAM as a catalyst for equity and the 2030 Agenda. To realize its transformative potential, future research must explicitly address the reduction in inequalities and develop robust assessment mechanisms. Full article

Ports are increasingly recognized as actors that influence the sustainability of urban environments due to their spatial footprint, operational intensity, and close interaction with surrounding cities. As digital technologies become more embedded in infrastructure management, Digital Twins (DTs) are emerging in port systems as tools that can support more integrated and sustainable port–city development. This paper investigates how DT technologies applied in ports can contribute to broader urban sustainability objectives within port–city systems. The analysis is based on a synthesis of documented DT practices from selected European ports. Geographic Information System (GIS) visualization is used to illustrate the spatial relationship between port infrastructure and the surrounding urban environment, as well as to map the connections between DT application fields and relevant Sustainable Development Goals (SDGs). A comparative interpretation of the extent to which DT applications align with urban sustainability goals across the examined ports is achieved through the development of an SDG contribution scale. Insights derived from the European cases are subsequently contextualized for the Port of Piraeus, exploring how similar DT approaches could support both operational efficiency and the long-term climate resilience of the port–city environment. Overall, the findings provide practical insights for port authorities, urban planners, and policymakers seeking to align digital transformation strategies with sustainable and climate-responsive infrastructure development in port–city systems. Full article

The sharing economy has emerged as a transformative urban phenomenon shaping sustainable development pathways, governance practices, and spatial organization in cities. Despite its growing prominence, fragmented conceptual approaches and inconsistent indicator frameworks hinder systematic assessments of urban sustainability at the city scale. This study develops an integrated analytical perspective through a qualitative meta-synthesis of the sharing economy and the sharing city literature. Following the PRISMA protocol, a systematic review of the Web of Science and Scopus databases identified 73 peer-reviewed articles (2015–2024), analyzed across four dimensions: spatial, operational, governance, and environmental. The findings reveal increasing multi-dimensional approaches yet limited structural integration. The meta-synthesis shows that 68% of studies focus on only two dimensions, few address three, and none integrate all four. Research predominantly focuses on spatial–governance relations, while environmental performance and operational equity indicators remain underexplored. Studies are concentrated in European and North American metropolitan contexts, highlighting gaps in developing countries and medium-sized cities. The study introduces a Hybrid Dimension concept capturing inter-dimensional interactions and proposes an indicator-based framework for assessing sharing-oriented urban sustainability. The framework contributes to the literature by enabling a measurable multidimensional assessment aligned with SDG 11 and supporting integrated urban sustainability governance. Full article

As classrooms become increasingly diverse, achieving equitable and inclusive education is central to the United Nations Sustainable Development Goals (SDGs), particularly SDG 4.7, and to advancing social sustainability in education. Teachers’ multicultural teaching efficacy is a key psychological resource shaping inclusive classroom practice. This study conceptualizes multicultural teaching efficacy as a multidimensional belief system and adopts a person-centered approach to identify latent efficacy profiles among Korean lower secondary school teachers. Using data from the OECD Teaching and Learning International Survey (TALIS) 2024, latent profile analysis was conducted based on seven efficacy indicators, with teachers’ social and emotional learning self-efficacy (TSEL-SE) and participation in multicultural education-related professional learning included as covariates. Five distinct efficacy profiles were identified, revealing heterogeneity in both level and configuration. TSEL-SE consistently predicted profile membership, whereas the effects of professional learning varied across profiles and were strongest among teachers with high TSEL-SE, indicating a conditional interaction effect between psychological and experiential resources. Notably, over one-third of teachers belonged to a structurally low efficacy profile, indicating systemic vulnerability. These findings highlight the importance of differentiated and emotionally responsive teacher education strategies for advancing inclusive practice and contributing to SDG 4.7 and broader social sustainability goals. Full article

Artificial intelligence (AI) can help students accelerate assignment completion, but it may also foster cognitive outsourcing and learning detached from authentic contexts. This paper presents E3-HOT, a conceptual framework that leverages embodied intelligence to sustain learners’ cognitive agency and higher-order thinking for sustainable learning, aligned with SDG 4 (Sustainable Development Goal 4) and its emphasis on inclusive and equitable quality education and lifelong learning. Using an iterative conceptual synthesis, we distill three embodied pathways—situational embedding, embodied participation, and cognitive creation—and translate them into a practical system design with a three-module E3 core. It includes a virtual–real integrated learning environment for rich scenarios, embodied interaction for action and sensing, and an intelligent core that provides bounded and teacher-controlled support. To facilitate equitable adoption across resource-diverse settings, we specify multi-fidelity enactment options and an auditable set of evidence artifacts for subsequent expert review and future validation studies. We further provide an illustrative university human–AI design project that outlines a week-by-week workflow and corresponding evidence plan, presented as a worked example rather than a report of an implemented study. E3-HOT offers a traceable design-and-evidence blueprint without claiming measured learning gains. Full article

Public policies and the sustainability of digital education are vital due to technology’s role in teaching, learning, and interaction. This study examines the relationship between Brazil’s National Education Plan (NEP 2014–2024) and sustainable digital education. Using a critical descriptive methodology, it conducts a systematic integrative literature review. Content analysis (Bardin) of CAPES Journal Portal data explores how the NEP supports or hinders sustainable digital education in Brazil. Findings show alignment with the 2030 Agenda (SDG 4), emphasizing socio-environmental sustainability and goals like universal connectivity (Strategy 7.15). However, a gap between theory and practice emerges, with sustainability often overlooked in higher education assessments. Additionally, the digital sphere’s algorithmic individualization may hinder the rational debate needed for sustainability. The study concludes that sustainable digital education demands stable funding, resilient infrastructure, ethical regulation, and policies prioritizing inclusion and innovation to enable technology’s role in social transformation. Full article

This exploratory study analyzes the relationship between cooperative oral reading and intercultural competence within the field of teacher education (i.e., training of pre-service FL teachers in primary education) at the University of Cádiz (Spain), aiming to move beyond traditional, Eurocentric conceptions of interculturality, by aligning the framework with the United Nations Sustainable Development Goals (SDGs), particularly SDGs 4, 5, 10, and 16. A mixed-methods design is adopted, combining quantitative and qualitative approaches through cooperative oral reading activities based on selected literary texts in English, French, and German addressing diversity, identity, inclusion, among others. Data are collected via recording forms administered to language assistants and two focus groups involving students and language assistants. The quantitative indicators of the study suggest that cooperative oral reading may contribute to foreign language learning, strengthen engagement between students and assistants, promote collaborative dialogue, and provide opportunities to challenge stereotypes, while interaction with native speakers (i.e., assistants) deepens understandings of cultural diversity and identity. Overall, the research proposes that cooperative oral reading is an illustrative pedagogical strategy for fostering inclusive intercultural competence and that linking classroom practices to the SDGs can contribute not only to language development but also to broader goals of equity, inclusion, and social justice. Full article

(1) Background: Age-friendly emphasizes creating an appropriate living environment for people of all ages, which plays a crucial role in promoting intergenerational interaction in community public spaces and is conducive to achieving sustainable social development. This study explores how residents’ views on community public spaces affect their happiness, with intergenerational interaction acting as a mediating factor. (2) Methods: The data were sourced from 36 typical residential communities in 12 subdistricts of Yangpu District, Shanghai. Field investigations and questionnaire surveys were conducted on these communities, and a total of 1048 valid samples were collected. Descriptive statistics and structural equation models were employed to analyze the data. (3) Results: This research reveals that overall environmental perception significantly enhances happiness, and intergenerational support mediates this relationship. Factor loadings indicate that education & training and elderly & childcare spaces are the most salient dimensions of environmental perception, underscoring fundamental role in shaping how residents form their overall evaluation of community spaces. Through their strong association with intergenerational support, play a significant indirect role in enhancing residents’ happiness. Community belongingness plays a reinforcing role between intergenerational support interaction and happiness. The analysis of individual attributes further reveals that the length of residence and gender have moderating effects on the perception of public spaces. (4) Conclusions: This study examines the path of “Environmental perception → Intergenerational interaction → Happiness” and identifies the key mediating role of intergenerational support in this relationship. The conclusions indicate that optimizing community public spaces, particularly by improving “empowering” and “protective” spaces and fostering intergenerational integration through activities, can enhance residents’ belonging and happiness, offering a pathway to advance the SDGs. Full article

This study develops an integrated mathematical model to investigate the interaction between tuberculosis (TB) transmission and childhood stunting, which is aligned with the United Nations Sustainable Development Goals (SDG 3). The population is structured into two age groups (0–5 years and ≥5 years), with stunting explicitly incorporated into the pediatric population to capture its potential influence on TB dynamics. The model is formulated as a system of ordinary differential equations and analyzed using equilibrium and stability analysis, with the basic reproduction number, $R_0$. The disease-free equilibrium is locally asymptotically stable when $R_0<1$, while an endemic equilibrium exists when $R_0>1$. Sensitivity analysis indicates that the transmission rate ($\beta$), progression rate from latent to active infection ($\sigma$), and recovery rate ($\gamma$) are the most influential parameters affecting $R_0$. These parameters are therefore selected as control variables in an optimal control framework to design effective intervention strategies. Numerical simulations show that the combined control strategy significantly reduces TB transmission, resulting in a reduction of more than $80\%$ in active TB cases within a relatively short intervention period. The results suggest that integrated interventions targeting transmission, disease progression, and recovery are substantially more effective than single-measure strategies. This study provides a quantitative framework to support integrated public health policies addressing TB and childhood stunting simultaneously. Full article

This study systematically analyzes the spatio-temporal evolution, trade-offs, synergies and driving mechanisms of five ecosystem services (ESs) in Fujian Province (carbon storage, CS; habitat quality, HQ; sediment delivery ratio, SDR; water yield, WY; food provision, FP) based on multi-source data from 2003, 2013 and 2023 by adopting the InVEST model, Spearman correlation analysis, geographically weighted regression (GWR), self-organizing maps (SOM) and geographic detectors. Results show that: (1) ESs present a spatial pattern of “high in northwest and low in southeast” in Fujian; CS, HQ and FP show an overall decline, while SDR and WY increase significantly. (2) ES trade-offs and synergies have obvious scale effects and spatial heterogeneity, with stronger relationship intensity at the county level than the grid level, and FP generally shows a trade-off relationship with other services. (3) Land use is the key driving factor for CS, FP and HQ; precipitation dominates the changes in WY and SDR; and dual-factor interactions generally enhance the explanatory power of ES changes. The findings enrich the theoretical system of multi-scale ES trade-off and synergy research under rapid urbanization and provide a scientific basis for sustainable territorial spatial planning and differentiated ecological governance in Fujian. Meanwhile, the research framework can serve as a reference for ES management in other coastal mountainous regions worldwide, contributing to the realization of regional sustainable development goals (SDGs). Full article

Intercropping is a pivotal strategy for achieving Sustainable Development Goal (SDG) number 2—End hunger, achieve food security and improved nutrition and promote sustainable agriculture (SDG 2)—by enhancing food security agroecosystem resilience and sustainability. By integrating diverse species within the same plot, this sustainable approach takes advantage of the beneficial interactions between them. The simultaneous cultivation of multiple crop species within the same field increases agricultural diversification and contributes to a more resilient production system, breaking the uniformity of modern intensive agriculture. The objective of this review is to evaluate intercropping practices throughout the Mediterranean, specifically in Southern Europe (Portugal, Spain, Italy, and Greece), North Africa (Morocco, Algeria, and Tunisia), and the Middle East (Turkey, Israel, and Jordan). This review intends to show advantages and disadvantages of intercropping and crops used and also highlight how intercropping systems affect crop production and quality, soil quality and microbiome, and proliferation of weeds, pests and diseases. The literature suggests that diversification in agriculture supports biodiversity and ecosystem services by the cultivation of diverse crop species together and, hence, may reduce independence in external outputs such as nutrient supply, pesticides and soil amendment. Despite the potential benefits of intercropping, the major caveats of this practice are the competition between different crops on resources, potential risks of plant protection, technical challenges of integrating the different requirements of each crop used in the system, and culture-related restrictions or regulations. Full article

Since their adoption by the United Nations General Assembly in 2015, the 17 Sustainable Development Goals (SDGs), while non-binding, have served as a strategic compass, encouraging nations to adopt consistent sustainability measures within their own institutional contexts. To analyze how European Union (EU) countries are progressing towards the SDGs, combining an analysis of the relationships between different SDGs with an assessment of the relationships between countries, a Generalized STATIS method, called GSTATIS, is presented. Following a three-way approach designed for the analysis of complex data, the proposed method uses two different sets of weights for classes of countries and groups of SDGs to explicitly account for the role they play in the three-way variability. Unlike the standard STATIS method, which accounts for relationships between countries but overlooks the potential interactions between SDGs, GSTATIS recognizes that different groups of SDGs and classes of countries with group-correlated SDGs may contribute unequally to the three-way variability. Therefore, the “compromise” matrix is defined by using different optimal sets of weights for both classes of countries and groups of SDGs. As a result, GSTATIS offers a novel perspective on sustainability analysis, leveraging a three-way approach that simultaneously addresses within- and between-country variability by identifying groups of SDGs with highly correlated trends across countries. Full article