Search Results (3,074)

Ecological compensation is an important policy tool for coordinating ecological protection and economic development and narrowing regional disparities. In China, Linyi, for the first time, applied a cap-and-trade policy to the forestry sector by implementing the Intergovernmental Forest Ecological Indicator Trading Policy (IFEITP)—a new ecological compensation policy—to increase the city’s overall forest coverage. However, the compensation standard for this policy was formulated solely by referring to provincial afforestation subsidy standards, resulting in excessively low indicator trading prices and making the policy difficult to sustain. This paper proposes a technical framework for ecological compensation based on the ecosystem service spillover value (ESSV), aiming to optimize the IFEITP. The results revealed that during the policy implementation period, Linyi’s total ecosystem service value (ESV) increased, and the proportion of ESV provided by forests in each district and county also increased. Under the new framework, there were minor changes in the ecosystem service supply zones and payment zones. The compensation received by supply zones increased by 116.2%, whereas the payments made by payment zones accounted for less than 0.2% of local fiscal revenue. The newly calculated indicator trading price under this framework not only reflects the value of ecosystem services but also remains within the acceptable range of government finances, demonstrating high operability and providing a basis for optimizing the IFEITP. This study offers broader insights for regions with similar ecological and socioeconomic conditions, enabling the application of analogous ecological compensation policies to maintain environmental justice and promote sustainable development. Full article

Background: In Bangladesh, a number of sex workers are involved in commercial sex work in different brothels in both legal and illegal settlements due to reasons such as lack of social support, depression, forced sex, abuse, violence, polyamory, being kidnapped, and unemployment. In this study, we tried to evaluate the demographic characteristics and prevalence of viral and sexually transmitted diseases (STDs) among the study population. Methods: A total of 250 female sex workers were interviewed and tested from the Daulatdia brothel of Rajbari district, Bangladesh, who had been working there for at least 1 month. Through questionnaires, demographic data were collected. Primarily, lateral flow immunoassay (LFIA) tests were used to investigate HCV (Hepatitis C Virus), HBV (Hepatitis B Virus), and Syphilis, which were reconfirmed using enzyme-linked immunosorbent assay (ELISA) in cases of positive results. Results: The mean age was 27.51 ± 6.69 years with a range of 18–50 years. Most of them (n = 243, 97.98%) had elementary knowledge of STDs. We determined that overall, 96 (38.40%) were positive for either of these diseases. Individually, 10 (4.00%), 18 (7.20%), and 68 (27.20%) were positive for HCV, HBV, and syphilis, respectively. Conclusions: Our observation indicates that females of all ages should be strictly protected from forced sex work. Current sex workers should be educated regarding the dangers and protective mechanisms of STDs. In addition, as a public health concern, regular clinical check-ups and STD associated diagnoses are necessary to ensure the safety of FSW from these highly infectious and concerning diseases. Due to their socio-economic condition, proper treatment and rehabilitation are highly recommended. Full article

Land-use allocations—such as housing density, parcel size, housing typologies, parks, and other green areas—constitute key spatial planning (zoning) parameters that significantly shape how resources and opportunities are distributed within cities. As such, they play a central role in producing or constraining social justice across urban areas and communities, functioning as mechanisms through which planning and development processes deliver—or withhold—critical resources. Yet the literature remains limited in explaining how the allocation of specific zoning parameters contributes to social justice outcomes, which parameters matter most, and which dimensions of social justice they affect. This paper addresses this gap by examining and conceptualizing how spatial planning (zoning) parameters shape social justice in cities. A conceptual review approach, guided by Jabareen’s methodology, is employed to analyze and categorize planning parameters according to their specific contributions to social justice in cities. Accordingly, the study identifies three dimensions of social justice shaped by these parameters—inclusion, accessibility, and recognition—each addressing a key aspect of urban justice. Building on these concepts, we develop a new conceptual framework, referred to as the Conceptual Framework for Just Urbanism. At its core is the logic of difference, which explains how planning parameters are allocated unevenly across geographies, demographic groups, and socioeconomic conditions, producing spatially differentiated inequalities. The study concludes that planning parameters and zoning are powerful carriers of urban justice through their distribution of resources and opportunities. Full article

Background/Objectives: Pediatric asthma remains a pressing public health issue, especially among low-income, minority children living in subsidized housing. Methods: This study employed a community-based participatory research approach to explore barriers and potential solutions for improving asthma management in this vulnerable population. Semi-structured interviews were conducted with 22 caregivers of children with asthma and 8 community health workers in Washington, DC—a city marked by high childhood asthma rates and concentrated subsidized housing. Results: Thematic analysis identified six core findings: (1) families frequently encountered multiple home environmental asthma triggers, including pests, mold, secondhand smoke, leaks, poor ventilation, and aging infrastructure; (2) healthy housing services were under implemented, often due to unresponsive landlords, inadequate inspections, and poor maintenance; (3) existing services such as pest control, mold remediation, and smoke-free policies were ineffectively implemented; (4) challenges to service delivery included difficulties faced by landlords and structural barriers tied to geography, race, and socioeconomic status; (5) substandard housing conditions contributed to residents’ feelings of powerlessness, frustration, and distrust, with some taking legal action to address persistent hazards; and (6) participants recommended stronger housing code enforcement, sustained funding for home-based environmental interventions, housing-health liaisons, strengthened landlord accountability, support for landlords to facilitate repairs, centering families’ voices, and advocacy. Conclusions: This study underscores the persistent challenges caregivers face in managing asthma triggers in subsidized housing. The findings highlight the critical need for improved housing conditions, greater landlord and housing authority accountability, and policy reforms to ensure consistent, equitable, and sustainable healthy housing services that reduce pediatric asthma disparities. Full article

Drought is a pervasive and intensifying climate hazard with profound implications for food security, water availability, and socioeconomic stability, particularly in sub-Saharan Africa. In Kenya, where over 80% of the landmass comprises arid and semi-arid lands (ASALs), recurrent droughts have become a critical threat to agricultural productivity and climate resilience. This study presents a comprehensive spatiotemporal analysis of seasonal drought dynamics in Kenya for June–July–August–September (JJAS) from 2000 to 2024, leveraging remote sensing-based drought indices and geospatial analysis for climate risk planning. Using the Standardized Precipitation Evapotranspiration Index (SPEI), Vegetation Condition Index (VCI), Soil Moisture Anomaly (SMA), and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) anomaly, a Combined Drought Indicator (CDI) was developed to assess drought severity, persistence, and impact across Kenya’s four climatological seasons. Data were processed using Google Earth Engine and visualized through GIS platforms to produce high-resolution drought maps disaggregated by county and land-use class. The results revealed a marked intensification of drought conditions, with Alert and Warning classifications expanding significantly in ASALs, particularly in Garissa, Kitui, Marsabit, and Tana River. The drought persistence analysis revealed chronic exposure in drought conditions in northeastern and southeastern counties, while cropland exposure increased by over 100% while rangeland vulnerability rose nearly 56-fold. Population exposure to drought also rose sharply, underscoring the socioeconomic risks associated with climate-induced water stress. The study provides an operational framework for integrating remote sensing into early warning systems and policy planning, aligning with global climate adaptation goals and national resilience strategies. The findings advocate for proactive, data-driven drought management and localized adaptation interventions in Kenya’s most vulnerable regions. Full article

Against the backdrop of global warming, extreme heat events have become increasingly frequent and persistent across Chinese cities, posing severe threats to public health, industrial safety, and urban operations. Enhancing urban climate adaptation through the development of green infrastructure has therefore emerged as a critical governance priority. As a major national initiative promoting urban forest development and ecological civilization, the National Forest City Policy offers a potentially important pathway for mitigating extreme heat, yet its climate adaptation effects remain insufficiently examined through rigorous empirical evidence. This study takes the implementation of the National Forest City Policy as an exogenous policy shock to urban greening and employs panel data from Chinese 243 prefecture-level cities from 2000 to 2023 to conduct a difference-in-differences model, supplemented by an event-study approach, to identify the policy’s impact on annual extreme heat days. The empirical findings indicate that, after controlling for a series of socioeconomic characteristics, the National Forest City Policy significantly reduces the number of extreme heat days experienced by cities each year. Further mechanism analysis reveals that the National Forest City Policy’s mitigation effect is more pronounced in cities with higher Green Coverage Rate, Urban Climate Conditions, and Urban Green Space Quality. By evaluating the environmental impacts of the National Forest City Policy from a climate adaptation perspective, this study enriches the literature on urban forest development and extreme climate events, and provides empirical evidence and policy insights for enhancing urban climate resilience and optimizing greening strategies under China’s “dual-carbon” goals and a warming climate. Full article

Upper-limb motor impairment is a major consequence of stroke and neuromuscular disorders, imposing a sustained clinical and socioeconomic burden worldwide. Quantitative assessment of limb positioning and motion accuracy is fundamental to rehabilitation, guiding therapy evaluation and robotic assistance. The evolution of upper-limb positioning systems has progressed from optical motion capture to wearable inertial measurement units (IMUs) and, more recently, to data-driven estimators integrated with rehabilitation robots. Each generation has aimed to balance spatial accuracy, portability, latency, and metrological reliability under ecological conditions. This review presents a systematic synthesis of the state of measurement uncertainty, calibration, and traceability in upper-limb rehabilitation robotics. Studies are categorised across four layers, i.e., sensing, fusion, cognitive, and metrological, according to their role in data acquisition, estimation, adaptation, and verification. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol was followed to ensure transparent identification, screening, and inclusion of relevant works. Comparative evaluation highlights how modern sensor-fusion and learning-based pipelines achieve near-optical angular accuracy while maintaining clinical usability. Persistent challenges include non-standard calibration procedures, magnetometer vulnerability, limited uncertainty propagation, and absence of unified traceability frameworks. The synthesis indicates a gradual transition toward cognitive and uncertainty-aware rehabilitation robotics in which metrology, artificial intelligence, and control co-evolve. Traceable measurement chains, explainable estimators, and energy-efficient embedded deployment emerge as essential prerequisites for regulatory and clinical translation. The review concludes that future upper-limb systems must integrate calibration transparency, quantified uncertainty, and interpretable learning to enable reproducible, patient-centred rehabilitation by 2030. Full article

Leptospirosis remains a significant public health and economic burden in Southeast Asia, particularly in low- and middle-income countries where environmental, occupational, and socioeconomic factors contribute to its endemicity. Transmission is driven by close interactions between humans and infected animal reservoirs, alongside climatic conditions such as heavy rainfall and flooding. The region’s high but variable seroprevalence reflects inconsistencies in diagnostic methodologies and surveillance systems, complicating disease burden estimation. Major gaps persist in diagnostic capabilities, with current tools often unsuitable for resource-limited settings, leading to underdiagnosis and delayed treatment. Environmental modeling and spatial epidemiology are underutilized due to limited interdisciplinary data integration and predictive capacity. Addressing these challenges requires a One Health approach that integrates human, animal, and environmental health sectors. Key policy recommendations include harmonized surveillance, standardized and validated diagnostics, expanded vaccination programs, improved animal husbandry, and targeted public education. Urban infrastructure improvements and early warning systems are also critical, particularly in disaster-prone areas. Strengthened governance, cross-sectoral collaboration, and investment in research and innovation are essential for sustainable leptospirosis control. Implementing these measures will enhance preparedness, reduce disease transmission, and contribute to improved public health outcomes in all sectors across the region. Full article

Cultural heritage digitization (CHD) has become a strategic priority in European cultural and digital policies, driving efforts to enhance accessibility, preservation, and economic engagement. As digital technologies reshape the cultural sector, CHD increasingly intersects with the digital economy, fostering new forms of value creation. Despite this, empirical research on the socioeconomic drivers of CHD remains limited, with existing studies focused mainly on conceptual discussions, expert-based assessments, or institutional case studies. This study systematically analyzes the socioeconomic drivers shaping CHD across Europe using large-scale data from ENUMERATE and Eurostat. An econometric approach combining Ordinary Least Squares (OLS) and Generalized Additive Models (GAMs) is employed to capture both linear and non-linear relationships. The findings show that CHD is shaped by a complex interplay of economic capacity, digital infrastructure, institutional strategy, and societal demand, rather than by targeted funding initiatives alone. By bridging conceptual discussions and systematic econometric analysis, the study provides a robust empirical framework for understanding the external conditions that influence CHD and offers evidence-based insights to support more targeted digital transformation strategies in the European cultural sector. Full article

Background: Identifying factors associated with cognitive impairment among older adults is critical. This study investigates both concurrent and longitudinal associations between sleep quality, sleep duration, and cognitive performance among older adults in China, with particular emphasis on the moderating role of fruit and/or vegetable intake (FVI), a factor rarely examined in previous research. Methods: We pooled five waves of a specially designed nationwide sample of adults aged 65 years or older (N = 64,690; mean age: 86.3 years; men: 43.5%) in 2005, 2008, 2011, 2014, and 2018 in China. Cognitive impairment was assessed by the Mini-Mental State Examination. Among the sample, 10.7% were cognitively impaired. FVI was dichotomized into frequent (almost daily) versus infrequent (other low frequencies). Sleep hours were grouped into short (≤6 h), normal (7–9 h), and long (≥10 h) durations. Both concurrent and cross-lagged analyses were performed after adjusting for a wide set of covariates (demographics, socioeconomic status, family/social connections, health practices, disability, self-rated health, and chronic conditions). Analyses were further stratified by gender, age group, and urban–rural residence. Results: When all covariates were present (the full model), good sleep quality was associated with 22% lower odds of the prevalence of cognitive impairment, whereas the long sleep duration was associated with 24% higher odds as compared with the normal sleep duration. Although the short sleep duration was not associated with the prevalence of cognitive impairment in the full model, it was associated with 8% higher odds of cognitive impairment when health condition was not controlled for. Interaction analyses revealed that frequent FVI buffered the adverse cognitive effects of poor sleep quality and both short and long sleep durations. Subgroup analyses further show similar patterns across subpopulations, with more pronounced protective associations in older women and the oldest-old. Conclusions: Good sleep quality, normal sleep durations, and frequent FVI jointly contribute to better cognitive functioning at older ages. While the observed relationships are largely concurrent rather than causal, promoting both healthy sleep and dietary habits may be important for cognitive health among older adults. Full article

Background: Chronic diseases such as type 2 diabetes mellitus and cardiovascular disease and their cardiometabolic risk factors require management, which includes lifestyle interventions. Rural and remote residents are disproportionately affected by these conditions compared to their urban counterparts. Studies have examined barriers to chronic disease and cardiometabolic risk factor management in urban environments, but rural perspectives remain underexplored, especially in Western Australia (WA) with its vast geography. This study examined rural general practitioners’ (GPs) views on barriers and facilitators to chronic disease and cardiometabolic care in rural WA through lifestyle management. Methods: This qualitative study used semi-structured interviews with 15 rural WA GPs recruited via rural networks using convenience and snowball sampling. Braun and Clarke’s reflexive thematic analysis was used to identify patterns and themes within the qualitative data that addressed the study questions. Results: According to rural general practitioners, major barriers to chronic disease and cardiometabolic risk care included geographic isolation, socioeconomic disadvantage and an obesogenic food environment in rural areas, as well as severe time and financial constraints for GPs and workforce shortages with a high turnover and lack of accessible allied health professionals. Facilitators included co-located multidisciplinary teams, case management/health coaching, better remuneration for complex consultations involving preventive care and upstream policy measures, such as improving healthy food affordability and availability. Conclusion: Rural patients face systemic, geographic and socioeconomic barriers that are substantially greater than those in urban settings; these barriers impact GPs caring for their patients with chronic disease and cardiometabolic risk factors. Targeted solutions to these barriers such as attention to workforce issues, investment in lifestyle coaching approaches and having dedicated case managers, could reduce rural–urban inequities in chronic disease outcomes. Full article

Seabed mining has gained widespread attention under the blue economy concept, offering economic opportunities while posing significant environmental risks. In Sri Lanka, where mining of seabed resources is growing, understanding public perceptions and preferences for seabed conservation remain crucial to ensure sustainable resource management. This study, therefore, represents the first empirical assessment of public preference and Willingness to Pay (WTP) for seabed conservation in Sri Lanka. A Discrete Choice Experiment (DCE)-based approach was employed to assess public preferences for seabed conservation. Data were collected from 630 respondents across Sri Lanka using a pre-tested self-administered structured survey. The analysis employed Conditional Logit (CL) and Random Parameter Logit (RPL) models to estimate preference heterogeneity and attribute trade-offs. The findings of the study reported strong public support, with a WTP of Sri Lankan Rupees (LKR) 3532 per household per year for seabed conservation. Younger, well-educated individuals demonstrated a significantly higher preference for seabed conservation. Biodiversity loss (66.9%), physical damage to seabed (40.7%) and exploitation of natural resources (17.8%) were recognized as major consequences of sea bed mining, highlighting the need for stringent regulatory frameworks (34%) and public engagement (44%) in sustainable seabed conservation. The RPL model revealed significant preference heterogeneity for key attributes. A significant positive preference for a 30% reduction in mineral extraction (coefficient = 0.894, p < 0.05) reinforces public preference for stricter extraction limits. A 25% reduction for biodiversity and habitat destruction (coefficient = 0.010, p < 0.05) reflects public concern for seabed conservation in the context of ongoing marine resource related economic development activities. These results underscore the importance of integrating economic valuation into seabed conservation policies, ensuring that seabed mining activities align with sustainability goals. The study suggests targeted awareness campaigns, financial incentives, and inclusive policymaking to bridge socio-economic disparities and foster long-term public support for seabed conservation. These insights provide a critical foundation for policymakers to develop balanced approaches that promote economic benefits, while safeguarding marine ecosystems within Sri Lanka’s blue economy framework. Full article

The Yangtze River Economic Belt is a crucial driver of China’s economy, and its shoreline is a strategic, finite resource vital for ecological security, flood control, navigation, and socioeconomic development. However, intensive development has resulted in functional conflicts and ecological degradation, underscoring the need for accurate identification and suitability assessment of shoreline functions. Conventional methods, which predominantly rely on land use data and remote sensing imagery, are often limited in their ability to capture dynamic changes in large river systems. This study introduces an integrated framework combining macro-level “Three-Zone Space” (urban, agricultural, ecological) theory with micro-level Point of Interest (POI) data to rapidly identify shoreline functions along the Yichang section of the Yangtze River. We further developed a multi-criteria evaluation system incorporating ecological, production, developmental, and risk constraints, utilizing a combined AHP-Entropy weight method to assess suitability. The results reveal a clear upstream-downstream gradient: ecological functions dominate upstream, while agricultural and urban functions increase downstream. POI data enabled refined classification into five functional types, revealing that ecological conservation shorelines are extensively distributed upstream, port and urban development shorelines concentrate in downstream nodal zones, and agricultural production shorelines are widespread yet exhibit a spatial mismatch with suitability scores. The comprehensive evaluation identified high-suitability units, primarily in downstream urban cores with superior development conditions and lower risks, whereas low-suitability units are constrained by high geological hazards and poor infrastructure. These findings provide a scientific basis for differentiated shoreline management strategies. The proposed framework offers a transferable approach for the sustainable planning of major river corridors, offering insights applicable to similar contexts. Full article

The evolution of “Production–Living–Ecological” spaces (PLESs) in mountainous rural areas is shaped by complex interactions between terrain gradients and socio-economic factors. However, existing research lacks a targeted exploration of their evolution and driving mechanisms at the town scale. This study takes Taiji Town in Chongqing, China, as a case study and identifies land use data for mountainous rural areas. Based on this, “Production–Living–Ecological” attributes are assigned to each land use class, terrain gradients are delineated using the Terrain Niche Index, and the gradient-specific characteristics and spatiotemporal distribution patterns of PLES evolution in mountainous rural areas are analyzed. Additionally, the nonlinear driving mechanisms of PLES evolution are explored by incorporating variables such as terrain gradient, geographical location, social development, and ecological landscape. The results show that the evolution of PLES in Taiji Town generally follows a trend of decreasing production space, expanding living space, and steadily increasing ecological space. Furthermore, topographic constraints form a bottleneck in the evolution of production space in mountainous rural areas, with some production space boundaries extending into higher-gradient areas. Analysis of the driving mechanisms reveals that the interactions between land use degree evolution and elevation, as well as between land use degree evolution and slope, are key factors influencing the evolution of PLES, with significant differences across villages with varying topographic conditions. This study provides a scientific basis and methodological reference for observing spatial evolution and optimizing spatial planning at the town scale. Full article

Urban floods frequently occur in Southeast Asian cities, causing extensive road disruptions and a significant decline in overall urban mobility. To effectively adapt to such conditions, it is crucial to understand how residents modify their travel behavior and daily activities during flood events. This study investigates these behavioral changes by comparing individual travel behaviors and activities under normal and flooding conditions, based on an Activity Diary Survey conducted in Kudus, Indonesia. The comparative analysis reveals that during floods, individuals tend to reduce non-essential activities and limit travel to essential purposes such as work and education. The findings from chi-square tests and applying the RF (random forest) model indicate that socioeconomic characteristics—particularly age, license, income, and level of flood—significantly influence the likelihood of behavioral change. These results highlight that flood-induced disruptions in mobility are not only physical but also socially differentiated, reflecting disparities in vulnerability and adaptive capacity. Full article