Search Results (2,463)

Reducing energy intensity is critical for combating climate change, yet current progress remains insufficient to meet international targets. Green-oriented policy narratives hold significant potential for mitigating energy intensity, but existing research lacks regional-level quantitative analysis. This study examines how green-oriented policy narratives influence urban energy intensity. We analyze textual data from Chinese provincial Party newspapers using large language models and LDA topic modeling to measure narrative-related variables, then combine these measures with panel data from 288 Chinese cities spanning 2010–2022. The findings reveal that green-oriented policy narrative exposure significantly reduces urban energy intensity through promoting green credit development and stimulating green innovation, with the negative effect strengthening as the prominence of the public and narrativity of narratives increase. Heterogeneity analysis further shows that narrative effectiveness is amplified in cities with higher internet penetration and marketization levels. This study broadens research on energy intensity determinants beyond traditional policy instruments, extends green-oriented narrative effects from the micro to macro level, and offers insights for leveraging narratives and contextual conditions to promote energy conservation. Full article

Promoting the value realization of ecological products is a central issue in practicing the concept that “lucid waters and lush mountains are invaluable assets.” This is particularly urgent for alpine regions, which are vital ecological security barriers but face stringent developmental constraints. This study takes Golog Tibetan Autonomous Prefecture in Qinghai Province as a case study. It establishes a Gross Ecosystem Product (GEP) accounting framework tailored to the characteristics of alpine ecosystems and conducts continuous empirical accounting for the period 2020–2023. The findings reveal that: (i) The total GEP of Golog is immense (reaching 655.586 billion yuan in 2023) but exhibits significant dynamic non-stationarity driven by climatic fluctuations, with a coefficient of variation as high as 11.48%. (ii) The value structure of the GEP is highly unbalanced, with regulatory services contributing over 97.6%. Water conservation and biodiversity protection are the two pillars, highlighting its role as a supplier of public ecological products and the predicament of market failure. (iii) The spatial distribution of GEP is highly heterogeneous. Maduo County, comprising 34% of the prefecture’s land area, contributes 48% of its total GEP, with its value per unit area being 1.68 times that of Gande County, revealing the spatial agglomeration of key ecosystem services. To address the dynamic, structural, and spatial constraints identified by these quantitative features, this paper proposes synergistic realization pathways centered on “monetizing regulatory services,” “precision policy regulation,” and “capacity and institution building”. The aim is to overcome the systemic bottlenecks—“difficulties in measurement, trading, coarse compensation, and weak incentives”—in alpine ecological functional zones. This provides a systematic theoretical and practical solution for fostering a virtuous cycle between ecological conservation and regional sustainable development. Full article

Rural transport remains a critical factor of social inclusion in South Africa, particularly for people with disabilities who rely on public transport. This study explores the experiences of minibus taxi drivers in transporting passengers with disabilities in Mt Elias, a rural community in the KwaZulu-Natal province. A qualitative research design was adopted, involving semi-structured interviews with 15 drivers operating between Dalton and Mt Elias route. Thematic analysis was conducted using ATLAS.ti to identify key patterns and relationships across the dataset. The four key themes that emerged from the dataset are: infrastructure and environmental challenges, accessibility and support for passengers, operational and economic constraints, and human interactions and attitudes. Findings reveal that drivers face multiple barriers, including poor road conditions, limited vehicle space, and a lack of formal training, yet many demonstrate empathy and commitment to assisting passengers with disabilities. The study highlights the need for targeted policy interventions to improve road infrastructure, provide disability awareness training for drivers, and redesign vehicles for accessibility. Promoting inclusive rural transport requires coordinated action among government spheres, taxi associations, and disability advocacy groups. This research contributes new insights into the lived realities of rural drivers and promotes the importance of inclusive mobility as a component of social justice. Full article

Urban street greening structure plays a crucial role in promoting environmental justice and enhancing residents’ daily well-being, yet existing studies have primarily focused on vegetation quantity while neglecting how perception and governance interact to shape fairness. This study develops an integrated analytical framework that combines deep learning, machine learning, and spatial analysis to examine the impact of perceptual experience and socio-economic indicators on the equity of greening structure distribution in urban streets, and to reveal the underlying mechanisms driving this equity. Using DeepLabV3+ semantic segmentation, perception indices derived from street-view imagery, and population-weighted Gini coefficients, the study quantifies both the structural and perceptual dimensions of greening equity. XGBoost regression, SHAP interpretation, and Partial Dependence Plot analysis were applied to reveal the influence mechanism of the “Matthew effect” of perception and the Site governance responsiveness on the fairness of the green structure. The results identify two key findings: (1) perception has a positive driving effect and a negative vicious cycle effect on the formation of fairness, where positive perceptions such as beauty and safety gradually enhance fairness, while negative perceptions such as depression and boredom rapidly intensify inequality; (2) Site management with environmental sensitivity and dynamic mutual feedback to a certain extent determines whether the fairness of urban green structure can persist under pressure, as diverse Tree–Bush–Grass configurations reflect coordinated management and lead to more balanced outcomes. Policy strategies should therefore emphasize perceptual monitoring, flexible maintenance systems, and transparent public participation to achieve resilient and equitable urban street greening structures. Full article

With China’s rapidly aging population, enhancing the safety and age-friendliness of existing residential communities has become a pressing need in the context of urban renewal. Based on empirical analysis of 146 questionnaires collected from aging communities in Jiangsu Province, this study examines how built environment factors influence safety risks and perceived security among older adults. The results show that public seating (F3), pedestrian pathways (F11), staircases (F1), lighting (F5), landscaping (F10), and outdoor animals (F12) significantly affect both actual safety risks and perceived safety. Insufficient lighting, uneven pathways, unstable seating, and unsafe staircases are the primary causes of falls, collisions, and abrasions, while issues such as standing water, overgrown vegetation, and stray animals further reduce residents’ sense of security. The findings indicate that improving elderly safety relies more on environmental visibility, accessibility, and spatial maintenance than on compensating for individual physical limitations. Therefore, interventions such as enhancing lighting, maintaining pedestrian routes, providing stable seating, and strengthening community management can effectively reduce risks and enhance perceived security. This study offers empirical evidence to guide age-friendly community renewal and provides policy insights for promoting safe, inclusive, and sustainable development in aging cities. Full article

Background/Objectives: The increasing trend of foodborne zoonotic pathogens exhibiting antimicrobial resistance (AMR) represents a growing threat to food safety and public health in sub-Saharan Africa (SSA). Resistant strains of foodborne zoonotic pathogens compromise treatment efficacy, raise illness, and threaten sustainable food systems in human and animal health. However, regional understanding and policy response are limited due to the fragmentation of data and the inadequacy of surveillance. This systematic review and meta-analysis aimed to achieve the following: (1) estimate the pooled prevalence of AMR, including multidrug resistance (MDR) in selected foodborne pathogens; (2) compare subgroup variations across countries, pathogen species, and antibiotic classes; and (3) evaluate temporal trends. Methods: Following PRISMA 2020 guidelines, studies published between 2010 and June 2025 reporting AMR and MDR in Salmonella, Campylobacter, or E. coli from food or animal sources in SSA were systematically reviewed. Data on pathogen prevalence, AMR profile, and MDR were extracted. Random-effects meta-analysis using R software was implemented to estimate the pooled prevalence and the 95% confidence intervals (95% CI). Subgroup analyses were performed to explore heterogeneity across countries, antibiotic class, and bacterial species. Results: Ninety studies from 16 sub-Saharan African countries were included, encompassing 104,086 positive isolates. The pooled foodborne pathogen prevalence was 53.1% (95% CI: 51.5–54.7), AMR prevalence was 61.6% (95% CI: 59.4–63.9), and MDR prevalence was 9.1% (95% CI: 8.3–10.0). The highest resistance was reported in Campylobacter spp. (43.6%), followed by Salmonella spp. (29.1%) and E. coli (22.8%). High heterogeneity was observed across studies (I² = 95–99%, p < 0.001). Conclusions: It is concluded that substantial AMR burden exists in food systems, highlighting an urgent need for integrated One Health surveillance, antimicrobial stewardship, and policy harmonization in SSA. Strengthening laboratory capacity, enforcing prudent antimicrobial use, and promoting regional data sharing are critical for the management of antimicrobial resistance in sub-Saharan Africa. Full article

Municipal solid waste management (MSWM) remains a critical environmental governance challenge in rural and peri-urban regions of the Global South, where service delivery gaps exacerbate illegal dumping and public health risks. Geographic Information Systems (GIS) are increasingly promoted as decision-support tools to improve waste collection efficiency and environmental monitoring; however, their adoption in resource-constrained municipalities remains limited. This study investigates the institutional and policy barriers shaping GIS readiness in four rural municipalities within South Africa’s Vhembe District. Using a qualitative case-study design, semi-structured interviews were conducted with 29 municipal officials across managerial and operational levels, complemented by 399 community responses to an open-ended survey question. Thematic analysis, guided by Institutional Theory and the Technology Acceptance Model (TAM), identified five interrelated themes: waste production and disposal behaviours, collection and infrastructure constraints, institutional and operational challenges, policy and standardisation gaps, and technology readiness. The findings reveal that weak service reliability, fragmented governance structures, limited human and financial capacity, and inconsistent policy enforcement collectively undermine GIS adoption, despite its high perceived usefulness among officials. The study demonstrates that the effectiveness of GIS as an environmental management tool is contingent on institutional readiness rather than technological availability alone and highlights the need for integrated reforms in service delivery, institutional capacity, and policy implementation to enable GIS-supported sustainable waste management. Full article

Background/Objectives: Poor dietary habits are a major contributor to non-communicable diseases (NCDs), the leading cause of mortality worldwide. To promote healthier eating, governments and stakeholders have implemented various nutrition policies, including front-of-pack nutrition labeling (FOPNL). The Choices International Foundation (Choices), through its criteria, supports these efforts through its standardized nutrient profiling system (NPS). Originally developed to underpin a positive FOPNL logo, in 2021, the criteria were expanded into a globally oriented five-level profiling system covering 23 basic and 10 discretionary food groups, addressing key nutrients such as trans-fatty acids, saturated fat, sodium, sugar, fiber, and energy. To ensure continued scientific relevance, the Choices criteria are periodically reviewed by an independent International Scientific Committee (ISC). Methods: This paper presents the 2025 revision of the Choices criteria, focusing on priority areas identified through stakeholder consultation and recent scientific developments. Results: Key updates include the introduction of nutrient-based equivalence criteria for plant-based alternatives to meat and dairy, based on protein and selected micronutrient thresholds. Non-sugar sweeteners (NSSs) were newly included as a factor that lowers a product’s health classification and makes it ineligible for a positive FOPNL. Additionally, the industrially produced trans-fatty acid (iTFA) criteria were revised and aligned with the latest World Health Organization (WHO) recommendations, improving both technical feasibility and policy coherence. While options for incorporating whole-grain and micronutrient criteria were explored, these were not included in the current revision. Conclusions: The 2025 update system enhances the scientific rigor, policy alignment, and global applicability of the Choices system. By providing a harmonized and evidence-based tool, it aims to support national policies that foster healthier food environments and, ultimately, improve public health outcomes worldwide. Full article

Against the backdrop of rising global carbon emissions, promoting active transportation modes such as walking and cycling has become a key strategy for countries worldwide to meet carbon reduction targets and advance the goals of sustainable development. In China, the concept of low-carbon mobility has gained rapid traction, leading to a significant increase in public demand for non-motorized travel options like walking and cycling. From the perspective of inclusive urban development, gender imbalances in sample representation during design and evaluation processes have contributed to homogenization and a lack of diversity in urban slow-traffic environments. To address this issue, this study adopts a problem-oriented approach. First, we collect street scene images of slow-traffic environments through self-conducted field surveys. Concurrently, we gather satisfaction survey responses from 511 urban residents regarding existing slow-traffic streets, identifying three key environmental evaluation indicators: safety, liveliness, and beauty. Second, an experimental analysis is conducted to compare machine-generated assessments based on self-collected street view data with manual evaluations performed by 27 female participants. The findings reveal significant perceptual differences between genders in the assessment of slow-moving environments, particularly regarding attention to environmental elements, challenges in utilizing non-motorized lanes, and overall environmental satisfaction. Moreover, notable discrepancies are observed between machine scores and manual assessments performed by women. Based on these findings, this study investigates the underlying causes of such perceptual disparities and the mechanisms influencing them. Finally, it proposes female-inclusive strategies aimed at enhancing the quality of slow-traffic environments, thereby addressing the current absence of gender considerations in their design. This research seeks to provide a robust female perspective and empirical evidence to support improvements in the quality of slow-moving environments and to inform strategic advancements in their design. The findings of this study can provide a theoretical and empirical basis for the optimization of gender-inclusive non-motorized transportation environment design, policy formulation, and subsequent interdisciplinary research. Full article

Gender discrimination is a pervasive and multifaceted phenomenon rooted in cognitive, emotional, and social mechanisms that operate across individual, interpersonal, and structural levels. This umbrella review synthesizes systematic reviews and meta-analyses published between 2013 and 2024 examining the relationship between gender, stereotypes, and discrimination. Following PRISMA 2020 guidelines, searches were conducted across PubMed/MEDLINE, Scopus, and Web of Science, yielding 22 eligible reviews after screening 684 records. Thematic synthesis identified two overarching domains: manifestations of discrimination and health and professional outcomes. Discrimination emerged as structural, interpersonal, and implicit, operating through institutional barriers, microaggressions, and stereotyping mechanisms. These dynamics were found to significantly affect mental health, and particularly anxiety, depression, and psychological distress, as well as physical health, including cardiovascular outcomes and maternal morbidity. Professional and social functioning were also impaired, with gender-based inequalities documented in pay, promotion, and role allocation across multiple occupational contexts. Despite consistent evidence of harm, the literature revealed limited consensus in conceptualization and a lack of longitudinal and intervention research. Collectively, findings underscore that gender discrimination constitutes both a public health concern and a systemic social mechanism that shapes individual cognition, emotion, and behaviour, demanding multi-level psychological and policy responses. Full article

Urban public spaces increasingly need to address inclusivity, adaptability, and resilience in the face of health, environmental, and social challenges. Urban policies also promote improving the relationship between schools and their surroundings to mitigate and adapt to climate and social risks. This article presents EDUS Point, an experimental prototype developed within the European project FURNISH and tested in Barcelona during the COVID-19 crisis. Conceived as an Urban Living Lab (ULL), the initiative explored how modular, digitally fabricated, and temporary structures could transform school environments into open, inclusive, and human-scale public spaces. Through an inter-scalar and interdisciplinary approach, the project implemented an urban strategy, a participatory community-building process, and a digital collective platform, alongside the design, fabrication, and testing of a pilot classroom device adaptable and replicable in other schools. A mixed-methods methodology combined tactical urbanism and co-design with fabrication feasibility assessments, social observations, and spatial impact analysis. Results demonstrate that EDUS Point fostered new socio-spatial dynamics among students, teachers, and residents, improved accessibility and usability of nearby public spaces, and validated the effectiveness of low-cost, rapidly deployable interventions in addressing urban needs. The findings propose actionable frameworks, tools, and design criteria for the socio-environmental integration of schools as catalysts for inclusive and resilient urban transformation. Full article

Urban forests and green spaces are increasingly promoted as Nature-Based Solutions (NbS) to mitigate climate risks, enhance human well-being, and support resilient and sustainable cities. Focusing on the theme of optimizing urban green space ecosystem services to foster resilient and sustainable cities, this study systematically analyzes 861 relevant publications indexed in the Web of Science Core Collection from 2005 to 2025. Using bibliometric analysis and scientific knowledge mapping methods, the research examines publication characteristics, spatial distribution patterns, collaboration networks, knowledge bases, research hotspots, and thematic evolution trajectories. The results reveal a rapid upward trend in this field over the past two decades, with the gradual formation of a multidisciplinary knowledge system centered on environmental science and urban research. China, the United States, and several European countries have emerged as key nodes in global knowledge production and collaboration networks. Keyword co-occurrence and cluster analyses indicate that research themes are mainly concentrated in four clusters: (1) ecological foundations and green process orientation, (2) nature-based solutions and blue–green infrastructure configuration, (3) social needs and environmental justice, and (4) macro-level policies and the sustainable development agenda. Overall, the field has evolved from a focus on ecological processes and individual service functions toward a comprehensive transition emphasizing climate resilience, human well-being, and multi-actor governance. Based on these findings, this study constructs a knowledge ecosystem framework encompassing knowledge base, knowledge structure, research hotspots, frontier trends, and future pathways. It further identifies prospective research directions, including climate change adaptation, integrated planning of blue–green infrastructure, refined monitoring driven by remote sensing and spatial big data, and the embedding of urban green space ecosystem services into the Sustainable Development Goals and multi-level governance systems. These insights provide data support and decision-making references for deepening theoretical understanding of Urban Green Space Ecosystem Services (UGSES), improving urban green infrastructure planning, and enhancing urban resilience governance capacity. Full article

Anthropogenic pressures in the Amazon Basin are reshaping human–animal–environment interactions and increasing zoonotic disease risk. Within this One Health context, domestic dogs and cats are underrecognized contributors to pathogen circulation at the human–wildlife interface. We conducted a PRISMA-compliant systematic review of zoonotic pathogens reported in companion animals across Amazonian territories in nine countries, including literature published between 2000 and 2025 in four languages. Zoonotic pathogens showed a heterogeneous yet widespread distribution, with parasitic infections, particularly Leishmania spp., Toxoplasma gondii, and vector-borne protozoa, being the most frequently reported. A pronounced geographic bias was evident, with studies concentrated in Brazil and selected areas of the western Amazon, while large portions of the Basin remain understudied. Methodological limitations included reliance on cross-sectional designs and heterogeneous diagnostic approaches, often based solely on serology. These findings highlight the need to strengthen One Health-oriented governance frameworks that integrate animal health surveillance into environmental and public health policies. Priority actions include expanding surveillance to underrepresented regions, harmonizing diagnostic protocols, investing in regional laboratory capacity, and promoting community-based monitoring. Strengthened cross-sectoral and transboundary coordination is essential to reduce zoonotic risk and support evidence-based disease prevention in Amazonian ecosystems. Full article

Urban rivers are essential resources for human societies; however, their degradation poses serious public health, economic, and environmental risks. Conventional physical remediation methods can partially mitigate pollution by targeting specific contaminants, but they are often limited in scope, lack long-term sustainability, and fail to restore ecological functions. In contrast, biotechnological approaches integrated with ecological engineering offer sustainable and nature-based solutions for river depollution, conservation, and revitalization. Although these strategies are supported by a solid theoretical framework and successful applications in other aquatic systems, their large-scale implementation in urban rivers has only recently begun to gain momentum. This review critically examines strategies for the revitalization of polluted urban rivers, progressing from conventional remediation techniques to advanced biotechnological interventions. It highlights real-world applications, evaluates their advantages and limitations, and discusses policy frameworks and management strategies required to promote the broader adoption of biotechnological solutions for sustainable urban river restoration. The goal is to demonstrate the transformative potential of integrated biotechnological, eco-engineering, and data-driven approaches—particularly microbial, phytoplankton-based, and biofilm systems—to reduce energy demand and carbon emissions in urban river restoration while highlighting the need for scalable designs, adaptive management, and supportive regulatory frameworks to enable their large-scale implementation. Full article

Objective: In the context of an aging population, the prevention and control of cognitive impairment is a key public health priority. This study aims to investigate the association between proactive health behaviors and the risk of AD8 screening positivity in older adults in China, providing an empirical basis for developing targeted intervention strategies. Methods: Based on health behavior data from 1110 older adults in China, the chi-square test was used to analyze the differences in proactive health behaviors (such as limiting salt and alcohol intake, smoking cessation, and vaccination) between the low-risk and high-risk groups for AD8 screening. Factor analysis was used to extract the main factors of proactive health behaviors. Firth penalized logistic regression models were used to analyze the impact of the main factors and sociodemographic factors on the risk of cognitive impairment. Results: The chi-square test showed that there were significant differences between the two groups in salt restriction behavior (χ² = 18.063, p < 0.01) and vaccination (χ² = 29.674, p < 0.01), with a higher proportion of salt restriction (34.7%) and vaccination rates (80.4%) in the low-risk group. Factor analysis extracted four main factors (psychological–social support, information–behavior execution, technology–environment promotion, and addictive behavior control), with a cumulative variance contribution rate of 58.45%. Among them, psychological–social support (31.42% explained variance) and information–behavior execution (28.04%) had the strongest explanatory power. Firth penalized logistic regression showed that psychological–social support (Firth-corrected OR = 0.072, 95% CI: 0.035–0.148, p < 0.01) and information–behavior execution (Firth-corrected OR = 0.008, 95% CI: 0.003–0.021, p < 0.01) had significant protective effects on AD8 screening positivity (standardized OR values indicated that each one-standard-deviation increase in these two factors reduced screening-positive risk by 39% and 53%, respectively), and the risk increased by 21.7% for every 5-year increase in age (OR = 1.217, p = 0.001). Technology–environment promotion (OR = 0.417, 95% CI: 0.250–0.691, p = 0.001) and addictive behavior control (OR = 0.709, 95% CI: 0.490–1.026, p = 0.068) showed no significant protective effects. Sensitivity analysis confirmed the robustness of the four-factor structure and core conclusions. Conclusions: Among proactive health behaviors, psychological–social support and information–behavior execution are key protective factors in reducing the risk of AD8 screening positivity in older adults, and age is an important influencing factor. Strengthening psychological support and optimizing access to health information and behavior execution can serve as core strategies for cognitive impairment prevention and control, providing empirical support for the formulation of health policies for older adults. Full article