Search Results (610)

Unclear mechanisms of revenue distribution are a core bottleneck restricting the improvement in the efficiency of the authorized operation of public data in China, which is crucial for advancing sustainable development and fulfilling the UN Sustainable Development Goals (SDGs). To address this issue, this study constructs a tripartite evolutionary game model involving the government, the operating entities, and the demand sides. The aim is to analyze the dynamic impact pathways of the mechanisms of revenue distribution on the strategic choices of each entity. By establishing replicator dynamic equations and conducting simulations using system dynamics, the study reveals the interaction between stable strategies in behavioral evolution and key parameters. Results indicate that the probability of compliant transactions by the demand sides is positively correlated with their data utilization benefits and the intensity of the rewards and punishments of the government. Moreover, the data protection behavior of the operating entities is significantly influenced by the supervision of the government and the rent-seeking costs of the demand sides. Furthermore, the government needs to adopt dynamic supervision strategies to balance market efficiency and data security. Accordingly, this study proposes policy recommendations such as establishing a dynamic mechanism of revenue distribution linked to behavioral performance and constructing a distribution framework that aligns risks with benefits. In this way, collaborative cooperation among entities can be effectively incentivized. Full article

Natural disasters represent a critical intersection of environmental degradation, climate change, and societal vulnerability, posing a severe threat to sustainable development. Building a resilient communication infrastructure is therefore paramount for environmental sustainability and community survival. This paper addresses the shortcomings of traditional systems—such as high latency, limited coverage, and unreliable infrastructure—by proposing a novel integrated disaster management system built on Internet Radio technology. The framework combines a robust early warning system with an efficient emergency information broadcaster, offering global reach, real-time capabilities, and significantly reduced resource requirements. Its low-power consumption and minimal physical infrastructure make it an environmentally sustainable and cost-effective solution, aligning with goals for reducing the ecological footprint of critical services. A comprehensive 6-month case study for the Dodecanese Islands, Greece—with focused implementation on Symi Island—was conducted to validate the system. IoT-based meteorological stations and machine learning models (Random Forest) achieved a temperature prediction RMSE of 1.5 °C (a 35% improvement over traditional models), a wind velocity RMSE of 3.1 km/h, and an F1-Score of 0.80 for rainfall prediction. The integrated system demonstrated end-to-end latency of 10–25 s (210× faster than traditional systems), 98% coverage, 94% user comprehension, and a 70% reduction in operational costs. System-wide testing confirmed an alert accuracy of 92%, a false alarm rate of 12%, and a missed event rate of 10%, all within acceptable thresholds. The system achieved 99.2% overall uptime with redundant components ensuring continuous operation. Comparative analysis shows the proposed system outperforms traditional Greek EWS by 210× in latency, improves coverage by 327%, and reduces costs by 70% while maintaining three UN SDG alignments. The research fills a critical gap by integrating sustainable communication technology with modern predictive analytics, offering a replicable model for island communities worldwide. Full article

Achieving thermal comfort in social housing under variable and changing climates presents a critical challenge for sustainable building design and energy efficiency. This study develops a simulation-based multi-objective optimization framework to support early-stage design of climate-resilient social housing in Brazil, aiming to reduce thermal discomfort and associated mechanical conditioning energy demands. The goal is to identify building envelope configurations that minimize total construction cost while maximizing annual thermal comfort hours, thereby reducing the need for active heating and cooling systems. A reference single-room prototype is simulated in EnergyPlus for five cities representing distinct climatic zones. A wide range of construction alternatives for walls, roofs, slabs, and glazing are evaluated, with costs derived from the national SINAPI database and comfort assessed using the ASHRAE adaptive model based on operative temperature. The optimization, performed with the NSGA-II algorithm (via PyMOO), generates city-specific Pareto fronts that quantify the inherent trade-off between cost and comfort. Results show that optimal solutions range from approximately R$4800 to R$8900 in cost, achieving between 1350 and 3550 annual comfort hours, heavily influenced by local climate. Frequency analysis reveals that wall and roof assemblies are the most influential design variables. The proposed framework provides a transparent, data-driven decision-support tool for defining cost-effective, climate-adapted construction standards, contributing directly to sustainable housing policy, energy poverty reduction, and the development of resilient, low-carbon built environments aligned with the UN Sustainable Development Goals (SDG), particularly SDG 7 (Affordable and Clean Energy), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action). Full article

Within the context of the UN 2030 Agenda for Sustainable Development and Education for Sustainable Development (ESD), this study draws on a Web of Science dataset (n = 815, 1991–2025) and employs a mixed approach combining scientometric mapping with framework analysis and tool comparison. It systematically reviews the knowledge structure, methodological evolution, and tool genealogy of Campus Sustainability Assessment (CSA). The results reveal a paradigmatic shift from an operations-oriented focus to a whole-of-institution and impact-oriented perspective. Representative tools can be grouped into five categories by purpose—improvement-oriented, ranking and benchmarking, education and curriculum, standards and certification, and policy advocacy and recognition—and can be mapped onto the four domains of governance, academics, operations, and engagement in alignment with the Sustainable Development Goals (SDGs). Synthesizing quantitative and qualitative evidence, three systemic shortcomings are identified: excessive reliance on self-reporting with limited verification, insufficient evidence of learning outcomes and key competencies, and weak interoperability of indicators across educational stages and frameworks. Looking ahead, four actionable research pathways are proposed: (1) assessment of key competencies centered on learning outcomes with stronger curriculum–practice alignment; (2) policy–indicator interoperability and vertical integration grounded in SDGs and national or sectoral standards; (3) stakeholder co-design enabling an assessment–improvement loop; and (4) remote-sensing-based multi-scale monitoring and data governance. The contribution of this study lies in advancing a unified four-domain framework under a process–outcome–impact evidence chain, while suggesting cross-stage and cross-tool alignment and complementarity. This provides methodological support and an implementation roadmap for shifting CSA from measuring performance to empowering improvement. Full article

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

This study investigates the environmental and energy performance of rice straw-based energy pathways in Egypt, combining life cycle assessment (LCA) with supply chain optimization to improve system efficiency. The analysis covers thirteen governorates producing over 4.45 million tons of rice straw annually. It examines the whole supply chain from paddy farming, straw collection, and transport to electricity generation and ash disposal. Total energy consumption was 11,287 TJ, dominated by farming (5673 TJ) and transport (5490 TJ). Greenhouse gas (GHG) emissions were estimated at 12,007.5 million kg CO₂-eq, with significant contributions from farming (5158 million), combustion (3630 million), and natural gas use (3039 million). Gross electricity output was 5525 GWh, yielding a net of 4973 GWh, equivalent to 1116.5 kWh per ton of straw. Scenario analysis highlighted that the optimized multi-hub system, prioritizing Cluster 1 in the Nile Delta, which contributes over 92% of straw production and 4607 GWh of net electricity, achieved a reduction of more than 25% in transport distances and an 18% decrease in diesel consumption and related emissions. Sensitivity analysis further indicated that delivered electricity and GHG intensity are more sensitive to conversion efficiency and transmission and distribution losses than to moderate changes in transport assumptions. In addition to environmental improvements, the optimized scenario indicates potential social co-benefits, including rural employment generation, additional income opportunities for farmers, and improved air quality associated with reduced open-field burning. These outcomes are presented as indicative qualitative insights. Findings confirm rice straw as a strategic, scalable, and sustainable energy resource aligned with Egypt’s Vision 2030 and the UN Sustainable Development Goals (SDGs). Full article

Against the backdrop of global industrial sustainable transition and the advancement of UN Sustainable Development Goals (SDGs), higher education―a core carrier of sustainable human capital supply―plays a pivotal role in adjusting majors to meet labor market demands, resolving education–industry structural mismatch, and boosting regional sustainable development. From the perspective of “higher education supporting industrial sustainable transition,” this study explores how government Policy Mix Intensity enhances universities’ Major–Industry Alignment and its transmission mechanism, aiming to reveal higher education governance’s sustainable development path. Using panel data from 30 Chinese provinces (2012–2023), we constructed a PMI quantitative index and conducted empirical analysis via a two-way fixed-effects model. The results show the following: (1) high-intensity policy mixes significantly improve alignment, overcoming university organizational inertia and laying an institutional foundation for sustainable education–industry synergy; (2) Policy Mix Intensity acts through three pathways―optimizing capital allocation, deepening industry–education integration, and enhancing dynamic responsiveness―forming a “sustainable factor allocation—sustainable industry-education alignment” logic; (3) policy efficacy is more pronounced in highly marketized Eastern regions and via regulatory tools, reflecting the moderating effect of regional sustainable endowments and policy tool types. This study provides empirical evidence for the “policy mix intensity–sustainable efficacy” transformation mechanism, offers theoretical references and empirical insights from China for the global collaborative realization of SDG4, SDG8, and SDG9 through higher education policy optimization, and proposes that policy design should shift toward factor integration-based sustainable comprehensive governance. Full article

Rapid growth in urban population, vehicle ownership, and spatial expansion places increasing pressure on urban transportation networks, necessitating a shift toward sustainable mobility solutions. Accordingly, this study examines the determinants of university students’ mode choice preferences for home-to-campus commuting in a small-scale city. The analysis incorporates socio-demographic factors, mobility resources, and travel attributes as potential influencers of mode choice. For modeling preferences, a Multinomial Logit (MNL) model was initially used to estimate deterministic effects, followed by a Mixed Multinomial Logit (MMNL) model to capture unobserved heterogeneity at the individual level. The results demonstrate that gender, vehicle ownership, and travel distance play statistically significant roles in mode choice. Crucially, the MMNL analysis reveals that while students’ sensitivity to travel time is relatively homogeneous, their sensitivity to travel cost exhibits significant unobserved heterogeneity. Moreover, the study reveals the potential for a modal shift toward sustainable options such as walking, cycling, and public transport. These findings offer valuable insights for promoting sustainable urban mobility and developing data-driven transport policies, specifically in alignment with the “Sustainable Cities and Communities” goal of the United Nations (UN) Sustainable Development Goals (SDGs). Full article

In the current context of the complexity of municipal management, the sustainable development of communities and compliance with the “2030 Agenda” objectives are essential. These objectives aim to reduce the negative environmental impact of cities by the year 2030, with special attention to issues such as air quality and municipal waste management, among other UN actions. The main objective is to verify the impacts on the residents around the São João monument, located in a city in the interior of Brazil, with its installation following the principles of sustainable development, Agenda 2030, and SDG 8. It is relevant to verify, with the rural community, the positive and negative impacts on the quality of life and development of families who reside around the São João monument. The research method was a single case study, and the data collection techniques were qualitative. Finally, the results point to benefits for the community with the implementation of the São João monument, such as the generation of income and jobs, the development of tourism, and compliance with SDG 8, goal 8.9. However, improvements in local planning and development are still needed. Full article

The complexity of the Water–Energy–Food (WEF) Nexus demands a comprehensive framework for its implementation, particularly concerning place-based governance and sustainable transitions. In this work, the WEF Nexus is conceptualized through the lens of Socio-Technical Systems Transition Theory and its interconnections with geo-ecological system components, enabling its recognition as a place-based Socio-Technical–Ecological meta-System (STES). The UN Sustainable Development Goals (SDGs) are introduced as landscape drivers of the WEF Nexus, as they acknowledge the crucial role of society, technology and ecological systems in its interconnected domains. A novel integrated methodology to develop the WEF Nexus as a STES transition is presented, encompassing literature review, qualitative analysis, conceptual mapping, and multi-stakeholder co-creation. This theoretical framework was empirically tested and improved across selected case studies on hydrological basins in Africa within the ONEPlanET Horizon Europe Project. Both leverageable subsystems and promising transitional innovation assets were identified. The transitional X-Curve assisted in the discussion in the empirical context of ONEPlanET to generalise the findings and the visual presentation of the identified pathways. The methodology that resulted is suitable for supporting a concrete exploration of systemic mapping, analysis, and planning towards a sustainable WEF Nexus in complex geographies, facilitated through multi-stakeholder engagement and co-creation. Full article

This paper examines the philosophy and practice of interfaith dialogue (IFD) developed by Daisaku Ikeda (1928–2023), a prominent religious leader and peace philosopher. It explores how his dialogical approach can contribute to the United Nations’ Sustainable Development Goals (SDGs) and pathways to global peace. Ikeda’s dialogue is not confined to doctrinal debate or temporary reconciliation among faith communities. Rather, it is framed as a transformative process in which participants from diverse religious and civilizational traditions rebuild relationships through mutual respect and understanding, thereby contributing to personal transformation and broader societal change. Focusing on Ikeda’s core concepts—humanism, the dignity of life, and human revolution—this study first clarifies the philosophical foundations of his interfaith dialogue rooted in Nichiren Buddhism and a life-affirming worldview. It then examines major dialogues with global thinkers and leaders (e.g., Arnold J. Toynbee, Linus Pauling, Mikhail Gorbachev, and Johan Galtung) and selected institutional practices associated with Soka Gakkai International (SGI), the Institute of Oriental Philosophy (IOP), and the Ikeda Center for Peace, Learning, and Dialogue. These cases illustrate how Ikeda’s IFD functions as praxis for civilizational understanding, social cohesion, conflict transformation, and solidarity for the public good. The paper further analyzes the linkages between Ikeda’s IFD and SDG 16 (Peace, Justice and Strong Institutions), SDG 17 (Partnerships for the Goals), SDG 4 (Quality Education—especially Target 4.7 on Global Citizenship Education), and SDG 10 (Reduced Inequalities). It argues that IFD can operate as both a normative and practical resource for mitigating religious conflict, strengthening inclusion, enhancing global citizenship education and education for sustainable development (ESD), and fostering multistakeholder partnerships. The paper also reflects on the challenges of translating an approach grounded in a particular religious tradition into broader SDG governance contexts. Full article

Background/Objectives: Well-child care plays a critical role in promoting child health and monitoring growth and development within Primary Health Care (PHC), in line with international frameworks such as the WHO Global Strategy and the UN Sustainable Development Goals (SDGs). However, the absence of standardized quality indicators limits comparability across studies and hinders continuous improvement worldwide. This study aimed to map and analyze the indicators used to assess the quality of well-child care in global PHC settings. Methods: A scoping review was conducted following PRISMA-ScR and Joanna Briggs Institute methodological guidance, with a pre-registered protocol. Comprehensive searches were performed in May 2025 across fourteen databases and two gray literature sources, without language or time restrictions. Eligible studies assessed quality indicators for well-child care among children up to 5 years, 11 months, and 29 days. Two independent reviewers performed study selection and data extraction. Results: From 6052 records, 62 studies met inclusion criteria. Out of them, most (68%) used composite indicators, primarily from pre-existing tools (67%). While structural and clinical indicators—such as immunization and service accessibility—were predominant, there was a critical absence of relational indicators focusing on patient–provider interaction. This lack of standardization and neglect of the relational dimension significantly hinders international comparability and the assessment of family-centered care quality. Conclusions: Developing and validating a core set of standardized, comprehensive, and context-sensitive indicators integrating structural, clinical, and relational dimensions is essential. These should be linked to information systems to enable robust national and international comparison, strengthen evidence-based management, and drive continuous quality improvement to achieve the 2030 Agenda goals. These findings provide a foundation for policymakers to develop standardized monitoring tools that prioritize neglected relational aspects of care. Full article

Mountain ecosystems, strongly affected by climate-related variability and human impact, are degrading faster than other terrestrial ecosystems. Currently, the United Nations (UN) utilizes Sustainable Development Goal (SDG) 15: Life on Land (Target 15.4 and Sub-indicators 15.4.2a and 15.4.2b), along with the System for Earth Observation Data Access, Processing and Analysis for Land Monitoring, commonly referred to as SEPAL, to track mountain degradation. This SEPAL analysis does not include soil data, which is critical to understanding mountain degradation. The present research focuses on improving the tracking and evaluation of mountain land degradation (LD) utilizing soil data in the state of Colorado (CO) in the United States of America (USA) as an example. Total anthropogenic LD affects an estimated 19% of Colorado’s territory as of 2024, driven mainly by agricultural activities (80%). Between 2001 and 2024, overall LD in CO decreased (−0.4%), but LD from development increased by 23.3%. For mountain areas in CO, the mountain green cover index (MGCI) was 96% for 2024, and it decreased (−0.4%) between 2001 and 2024. The mountain LD proportion was 2.5% as determined by the SEPAL method compared to 4.4% by LULC analysis. Incorporation of soil data into LULC analysis found that between 2001 and 2024 LD increased to 6.6%. All soil types in the mountains exhibited anthropogenic LD due to development with a total developed area of 1385.1 km². Current total mountain LD (inherent + anthropogenic) in CO may be as high as 38.9%. Future estimates of total mountain LD should include both inherent and anthropogenic LD. Full article

Reliable communications, accurate localization, and efficient safety monitoring remain critical bottlenecks for sustainable development in remote high-altitude regions. On the Qinghai–Tibet Plateau, harsh topography and sparse infrastructure create a persistent “digital divide” that threatens human safety and limits field governance efficiency. This study aims to design, implement, and evaluate an integrated communication and navigation security assurance platform to bridge this gap. The specific research objectives are (i) to develop a hybrid high-precision positioning model integrating PPP-B2b, RTK, and MEMS inertial constraints; (ii) to implement an adaptive multi-link communication strategy combining BeiDou-3 short message communication (SMC), 4G LTE, and VHF; (iii) to design a lightweight SM1/SM2 security-and-compression framework optimized for bandwidth-constrained satellite messaging; and (iv) to conduct a mixed-methods field evaluation of technical performance and user-level impacts. A six-month field evaluation was conducted in Qinghai Province to validate the platform. Results show that the platform achieves sub-metre positioning accuracy across representative plateau scenarios (horizontal RMSE: 0.06–0.45 m). While terrestrial cellular links in marginal-coverage areas frequently failed (<15%), the BeiDou-3 SMC maintained stable message delivery (87.5–94.7%). Sustainability-oriented indicators suggest marked improvements in disaster resilience: the 95th-percentile emergency notification time was reduced from >180 min to <2 min, and effective route coverage increased from ~15% to ~95%. User surveys (n = 112) indicate high acceptance, with 91.1% of respondents reporting improved perceived safety, though usability gaps persist among non-professional groups. Overall, this indigenous satellite-based platform functions as a practical “social safety net,” narrowing digital exclusion and supporting UN sustainable development goals (SDG 9, 10, and 11). Full article

As manufacturing organisations work to align their operations with global sustainability expectations, the integration of the United Nations (UN) Sustainable Development Goals (SDGs) into production systems has become increasingly important and a critical pathway toward Industry 5.0. Sustainable Value Stream Mapping (Sus-VSM) provides a structured approach for assessing economic, environmental, and social performance, but its practical adoption remains limited, and it has not been systematically aligned with SDG Targets. These limitations are particularly evident among small and medium-sized enterprises (SMEs) which often lack the resources needed to implement extensive sustainability indicator sets. This study combines a systematic literature review with industrial evidence to identify Sus-VSM indicators and examine their use in practice. A consolidated set of 18 economic, 22 environmental, and 18 social indicators is derived and mapped to 16 SDG Targets relevant to manufacturing by means of a Delphi-based expert assessment. The mapping results are analysed to evaluate indicator usefulness and expert agreement and are complemented by an industrial verification from 30 companies across different sectors that rates each indicator in terms of relevance to SDGs and applicability in real factory contexts. The results show that economic indicators are most aligned with SDG 8, environmental indicators with SDG 9, SDG 12, and SDG 13, and social indicators with SDG 3 and SDG 8, while gaps persist for water, energy transition, and some climate-related Targets. A prioritised indicator set is proposed that maintains coverage of the selected SDG Targets and remains feasible for SMEs, providing a practically oriented basis for embedding SDG-aligned sustainability assessment within Sus-VSM. Full article