Search Results (458)

This study investigates place-based barriers to initial teacher training (ITT) recruitment in rural-coastal regions of England, focusing on Cornwall as a case study. Utilizing semi-structured interviews with nine ITT provider leaders and nine trainee teachers, the research applies the concept of educational isolation to ITT providers in areas that are geographically remote, socioeconomic disadvantaged, and culturally isolated. The analysis is framed by the critical pedagogy of place and social capital theory, moving beyond deficit-based interpretations of rurality to critically examine how place-based inequities are produced through urban-normative policy and resource allocation. Primary data were analyzed using reflexive thematic analysis. Four substantive themes emerged: transport dependency and accessibility constraints that structurally exclude lower-income and disabled trainees; housing displacement driven by the tourist economy, which compounds financial insecurity; an “employment precarity problem” where localized primary school oversaturation coexists with secondary teacher shortages; and cultural and professional isolation that disproportionately impacts ethnically diverse trainees in demographically homogeneous communities. The research further identifies that community resilience, while enabling individuals to navigate structural barriers, can obscure infrastructural inadequacy and diminish impetus for systemic policy reform. This paper contributes to international scholarship on spatial justice and rural teacher education by presenting an integrated conceptual framework with transferable relevance to similar rural-coastal and peripheral contexts globally and by offering policy recommendations for place-weighted ITT funding, infrastructure investment in educationally isolated areas, and the development of collaborative provider models. Full article

For decades, transportation planning has relied on utilitarian principles, which aim to maximize cumulative benefit by meeting the needs of the “average user.” This approach ignores fundamental differences between population groups and produces uniform solutions that fail to address the diverse needs of women, children, the elderly, and other disadvantaged populations. In response, there are growing calls for a transportation justice paradigm that emphasizes individuals’ ability to access meaningful opportunities according to their characteristics, abilities, and life circumstances. Autonomous Mobility on Demand (AMoD) holds the potential to transform future transportation systems. However, without deliberate planning, they risk replicating existing patterns of inequality for populations whose mobility needs differ from those of the average user. This study applies transportation justice principles to examine how AMoD systems can be designed to meet diverse user needs. Using a combination of an Autoencoder for learning reduced representations and an HDBSCAN clustering algorithm, the analysis identifies distinct travel patterns across socioeconomic groups. These findings reveal significant gaps between population segments, particularly among children and older adults, and demonstrate how AMoD systems could expand access to after-school activities, reduce social isolation among elderly women, and reduce various transportation-related social gaps by improving their ability to reach a wider range of opportunities. Full article

The transformation of transport is necessary not only for climate change mitigation, but also for increasing competitiveness, developing modern technologies in transport, and improving the well-being and quality of life of the population. This article discusses the current state of the transformation of transport and infrastructure to low/zero emission within EU member states and, in particular, their smart cities. This article discusses the challenges, modern technologies, disadvantaged groups and overall concept of transformation with the aim of designing the most effective strategy for transport transformation in the EU, potentially at the smart cities level. The potential relationship between the position of EU member states in the Climate Change Performance Index (CCPI) ranking and different environmental and non-environmental indicators in the EU is identified and analyzed. Regression and ordered logit models are calculated. The results show that only minimum indicators are not correlated, and greenhouse gas emission (GHG), urbanization rate in the EU member state and the ratio of private car ownership to public transport usage have a significant impact on the potential transformation of transportation and a country’s ranking in the CCPI. The odds ratio for urbanization rate is 3.18 (+1 means better ranking 24 times greater) and 4.68 for the ratio of private car ownership to public transport usage (+1 means better ranking 108 times greater). The discussion of the article defines research trends aimed at improving the level of transport transformation and challenges related to successful transformation. Full article

The world’s current technical developments are mostly dependent on semiconductors. Even though traditional semiconductor materials are important, they have various disadvantages, especially when evaluated against polymer-based alternatives. Hydrogel-based semiconductors provide soft, ionically linked electronic interfaces by combining hydrated, mechanically compliant matrices with electrically active conjugated polymers and composites which can be applied in bioelectronic and thermoelectric generator/cells. Volumetric capacitances are normally in the range of 1–485 F·cm⁻³, demonstrating excellent ion storage, transport capabilities, and electron mobilities for hydrogel semiconductors spanning roughly 0.25 cm²/V·s (measured for n-type P(PyV)-H hydrogel). The fabrication techniques include additive free casting and room-temperature crosslinking, which lower energy input while maintaining electronic performance; typical systems maintain >80% of their conductivity after ${10}^3$–${10}^4$ mechanical cycles. This review study mainly focuses on the design, preparation, application, and prospects of gel/hydrogel-based semiconductors. It gives readers a thorough understanding of the basic ideas that underline their structure and operation. All things considered, this work is a useful tool for engineers and researchers looking to maximize the potential of gel-based semiconductors in next-generation electrical systems. Full article

Background: Asthma is one of the leading chronic inflammatory respiratory conditions affecting children under 5 years of age, especially those who reside in socio-economically disadvantaged and densely populated low- and middle-income communities. Methods: A cross-sectional analytical study was conducted to ascertain the prevalence of factors influencing asthma and wheeze among young children attending early childhood development centres in Alexandra Township. Data were collected using a self-administered modified International Study of Asthma and Allergies in Childhood questionnaire. The analysis was performed utilising STATA version 19. The study sample comprised 3265 young children and their parents or guardians. Results: The findings reveal that the prevalence of asthma and current wheeze was 17.52% and 35.56%, respectively, while the prevalence of a history of wheeze was 64.36%. In the multivariate analysis, a family history of asthma was identified as a risk factor for asthma (p < 0.001) and for current wheeze (p < 0.001) and historical wheeze (p < 0.001). Additionally, the use of pain medication and passing of public transport were seldom identified as risk factors for both asthma and wheeze. Furthermore, exposure to second-hand tobacco smoke (p = 0.025) was found to influence the occurrence of asthma. Conclusions: This study highlights the impact of individual, household, and environmental factors on asthma. The findings are critical for the implementation of preventive environmental health measures to address this issue, particularly in low- and middle-income countries with limited curative resources. Full article

Background: Youth mental health needs are critically undertreated. Access and engagement remain challenging, particularly for disadvantaged youth, due to barriers such as limited clinic hours, insurance, transportation, bias, and stigma. School-focused collaborative approaches may reduce mental health care inequities. In this study, we illustrate a pilot intervention by process documentation, participant feedback, and two case studies. Method: To address local service gaps, a virtual collaborative care process was piloted with a child and adolescent psychiatrist (CAP) and psychologist from Project TEACH, a New York State Office of Mental Health funded Child Psychiatry Access Program (CPAP), primary care representatives, and multiple school mental health teams. Demographic data, participant feedback and the collaborative process is reviewed with two case studies created to highlight the collaborative process. Results: Most participants report utility and felt supported. The majority also report a positive impact on communication and collaboration between teams serving students; challenges with family follow up persist. Streamlined communication and consent was helpful. Demographic data suggests that this model can help reach disadvantaged youth. Conclusions: School-focused collaborative mental health requires regular communication and coordination between youth-serving providers. This pilot implementation study shows promise for reaching disadvantaged youth and providing multidisciplinary support. Full article

Urban agglomerations have become the dominant spatial platform of urbanization, regional coordination, and economic transformation in China. Yet whether the expansion of agglomeration scale at the urban-agglomeration level alleviates or intensifies energy use remains insufficiently understood. Extending the scale of analysis from individual cities to integrated urban agglomerations, this study investigates 64 cities in four major Chinese urban agglomerations, including Beijing–Tianjin–Hebei, the Yangtze River Delta, the Pearl River Delta, and Chengdu–Chongqing, over the period 2006–2023. Using panel data models, this study examines the impact of the scale agglomeration within urban agglomeration on urban energy intensity. The results show that the overall agglomeration scale generated by urban agglomeration formation significantly suppresses energy intensity while indicating a robust energy-saving effect: every 10% increase in agglomeration scale is associated with a decline of approximately 0.0893 million tons of standard coal per CNY 100 million of GDP. This finding remains stable after addressing endogeneity concerns and performing a series of robustness checks. Mechanism analyses further suggest that this effect operates primarily through talent agglomeration, technological progress, and public transportation expansion. In addition, the energy-saving effect is more pronounced in smaller cities, cities with lower administrative rank, cities with weaker factor mobility, and cities characterized by poorer air quality but stronger public environmental attention. These findings contribute to the literature on urban agglomeration and green development by showing that the agglomeration scale within urban agglomerations can generate inclusive energy-efficiency gains, especially for relatively disadvantaged cities, thereby offering important implications for spatial governance and low-carbon transition in rapidly urbanizing economies. Full article

Due to the high energy density and long cycle life, lithium-ion batteries play an important role in electric transportation and energy storage systems. Therefore, accurate state of health (SOH) estimation is of great significance for battery lifetime management and safe operation. Existing SOH estimation methods are highly dependent on data and suffer from insufficient physical interpretability and limited cross-scenario generalization. To address the issues, introducing physical information constraints enables physical consistency requirements to be incorporated into the estimation process and confines the estimation to the physically feasible domain, thereby improving prediction performance and enhancing physical interpretability. From the perspective of sources of physical constraints and forms of constraint implementation, the review systematically summarizes the current research. Regarding the sources of constraints, equivalent circuit constraints, mechanism-based constraints, and degradation-dynamics constraints are introduced, and the advantages, disadvantages, and applicable scenarios of typical implementation forms, including physics-informed loss, physics-informed initialization, physics-driven architecture design, and virtual physics-driven fusion, are summarized. Finally, current challenges and future research directions are outlined based on a comprehensive comparison of existing studies, with the aim of providing a useful reference for future research on physics-informed SOH estimation. Full article

The increasing need for energy-efficient and environmentally friendly electricity generation has led to the extensive use of hybrid electric systems. These systems integrate different energy sources in an effort to take advantage of the positives of each technology, as using a single source of energy comes with many limitations and disadvantages; hence, the popularity of hybrids has increased in recent times. In this regard, this paper proposes a lithium-ion battery (LIB) and ultracapacitor (UC)-based hybrid architecture considering an optimal energy management framework. In the transportation sector, hybrid vehicles (LIB and UC-based vehicles) effectively utilize the high energy density and power density of LIBs and UCs. This LIB and UC-based hybrid architecture provides an efficient power management solution considering the high power density of the LIB for smooth road profiles, and the high power density of the UC is driven during sudden spikes in load demand because the LIB will not function optimally during the sudden spikes due to lower power density. Furthermore, in order to achieve efficient utilization of the proposed hybrid system, an optimal energy management framework is used. In this regard, in this study, a fractional-order proportional–integral–derivative (FOPID) controller has been designed for effective and optimal energy management. Furthermore, the designed FOPID has been optimized using a metaheuristic technique, namely particle swarm optimization (PSO), to enhance LIB and UC-based hybrid electric vehicle energy management performance. Employing dynamic and optimal energy flow control, the FOPID-based system improves energy consumption, extends LIB life, and improves overall system performance and reliability. Full article

This study explores the lived experiences of pregnant women in rural Nepal navigating maternal healthcare amidst intersecting structural barriers. Using the Social Determinants of Health framework and intersectionality, we examine how geographic isolation, inadequate infrastructure, and economic hardship compound risks to timely and safe maternal care. Twenty in-depth interviews were conducted at a district hospital in the eastern region of Koshi Province, Nepal. Four major themes were identified through inductive thematic analysis. These are: geographic vulnerability and transport challenges; gaps in rural maternal health provision; accommodation and institutional support deficits; and economic vulnerability and hidden costs of care. Findings reveal that poor road conditions, unreliable transport, and limited diagnostic services force women to undertake long, costly journeys, often requiring temporary relocation without institutional accommodation support. Despite policies such as the Safe Motherhood Programme, implementation gaps persist, leaving women to bear significant financial and emotional burdens. These experiences underscore systemic inequities in resource distribution and highlight the compounded disadvantage faced by women from rural and marginalised communities. To ensure equitable maternal healthcare, this study advocates for the decentralisation of health services and the implementation of inclusive financial protection policies tailored to the needs of women from rural and marginalised communities. To promote equitable maternal healthcare, we recommend strengthening rural health infrastructure, implementing maternity waiting homes, and expanding financial protection schemes tailored to vulnerable populations. This research offers critical insights for policymakers to address maternal health inequalities and advance Nepal’s progress toward Universal Health Coverage and Sustainable Development Goal 3 (Ensure healthy lives and promote well-being for all at all ages). Full article

A paratransit system is a public transportation mode, commonly operated by private transportation enterprises. In many countries, minibuses are considered paratransit systems and are often criticized for their inability to integrate with smart fare payment systems. Their revenue model is competitive, so it creates security vulnerabilities, and their sustainable service quality, which lags behind other modes of transport in terms of driving characteristics and transport system integration, is a significant disadvantage that sets minibuses apart from other modes of transport. However, given society’s usage habits, minibuses emerge as an indispensable mode of mobility, especially in certain areas and for specific individuals. This situation shows that minibuses need to be made infrastructure-compatible and controllable. This study examines the applicability of smart fare payment systems in minibuses using a multi-criteria evaluation framework. And it considers economic, technological, operational, and legal criteria holistically. Within the scope of the study, a pilot application was evaluated using AHP and TOPSIS techniques, comparing the cash-based structure with the option of using a smart fare payment system from the operators’ perspective. Thus, the system’s transformation potential was analytically assessed. The findings indicate that adopting a smart fare payment infrastructure is perceived to improve sustainable service quality, strengthen control mechanisms, and support revenue transparency. Full article

Transportation-disadvantaged (TD) populations, including many older adults and people with disabilities, often face mobility barriers linked to fragmented transportation services, limited information about available ride options, and weak coordination across providers. While One-Call/One-Click (1C1C) systems have emerged as solutions to centralize transportation information, support trip planning, and coordinate services across public, nonprofit, and private actors, their capacity to scale remains limited. Using a mixed-methods design, this study examined the institutional arrangements, functional scope, and service scale of 67 operational 1C1C systems to identify systemic barriers to expanding coordinated service access. Quantitative analysis revealed substantial variation in governance, service configurations, costs, and coverage relative to conservative population-based benchmarks, with most systems operating at limited scale. Qualitative interviews with system administrators provide explanatory insight into these patterns, identifying three recurring institutional constraints: funding instability, limited capacity for technology and data integration, and shallow vendor networks for specialized transportation services. The findings indicate that limits to 1C1C performance are rooted in institutional and financial conditions rather than system design. Situating coordinated transportation within the Age-Friendly Cities framework, the study argues that mobility coordination must be treated as durable public infrastructure if equitable, age-friendly mobility is to be achieved at scale. Full article

Despite concern over air pollution, fine-scale spatial and demographic disparities in exposure remain largely unquantified in Australian cities due to sparse monitoring and coarse models. In Greater Melbourne, this gap limits neighbourhood-level assessment of PM_2.5 exposure and associated environmental inequalities. To address this gap, we integrated 6-month averaged PM_2.5 observations (October 2023 to March 2024) from 5 regulatory monitoring stations and 13 low-cost sensors (LCSs) to develop a land use regression (LUR) model estimating concentrations at a 100 m resolution. These estimates were used to calculate population-weighted PM_2.5 exposure (PWE) at the mesh block level across Melbourne. To examine factors associated with spatial heterogeneity in PWE, we applied a hybrid modeling framework combining Spatially Explicit Random Forest (Spatial-RF) and Geographically Weighted Regression (GWR), incorporating physical, built-environment, and socio-demographic variables from the Synthesized Multi-Dimensional Environmental Exposure Database (SEED). The Spatial-RF model initially exhibited an R² of 0.56. After multicollinearity diagnostics using the Variance Inflation Factor (VIF), three key explanatory variables were selected for GWR modeling: the Normalized Difference Vegetation Index (NDVI), the Index of Education and Occupation (IEO), and the proportion of culturally and linguistically diverse populations (CALDP). The developed GWR model achieved higher model performance (R² = 0.65) than Spatial-RF and global Ordinary Least Squares (OLS) regression (R² = 0.38), revealing strong spatial non-stationarity. Results show that PWE generally ranged from 5 to 7 µg/m³, exceeding the 2021 WHO air quality guideline, with hotspots in the urban core and along major transport corridors. Elevated exposure occurred in both socioeconomically disadvantaged areas and residents in urban centers with higher socio-economic status, reflecting complex, spatially contingent exposure inequalities. These findings support fine-scale, equity-oriented air quality management. Full article

Foaming technology can effectively reduce the viscosity of polymer-modified asphalt and significantly decrease energy consumption during pavement construction, making it an effective approach for achieving low-carbon pavement construction and maintenance. However, mechanically foamed asphalt relies on specialized equipment and requires strict parameter control. Although water-based foaming methods using zeolites or ethanol can alleviate these issues to some extent, they still present disadvantages such as significant variability in foaming performance and potential risks during transportation and construction. Therefore, this study investigates the feasibility of using crystalline hydrates with high water of crystallization for micro-foamed asphalt. Three types of micro-foamed SBS-modified asphalt (MFPA) were prepared using hydrates with different contents of water of crystallization. Physical property tests, foaming characteristic parameters, viscosity–temperature analysis, Fourier transform infrared spectroscopy (FTIR), adhesion tensile tests, scanning electron microscopy (SEM), and fluorescence microscopy were conducted to evaluate their effects on the physical and chemical properties, viscosity reduction performance, adhesion, and compatibility of SBS-modified asphalt. Furthermore, dynamic shear rheometer (DSR) tests, bending beam rheometer (BBR) tests, fatigue life modeling, and morphological analysis were employed to investigate the rheological properties, fatigue life, and bubble evolution behavior of the MFPA system. The results indicate that utilizing the thermal decomposition characteristics of crystalline hydrates with high water of crystallization (Na₂SO₄·10H₂O, Na₂HPO₄·12H₂O, and Na₂CO₃·10H₂O) to release H₂O and CO₂ in SBS-modified asphalt for micro-foaming is a short-term reversible physical viscosity reduction process. The maximum expansion ratio (ERmax) of MFPA reaches 8–10, the half-life (HL) remains stable at approximately 180 s, and the foaming index (FI) peak is about 1160. The construction temperature can be reduced by 10–15%, and the viscosity reduction effect remains stable within 60 min. Compared with unfoamed SBS-modified asphalt, the compatibility, rutting resistance, and fatigue life of MFPA increase by approximately 65%, 32%, and 30%, respectively, while the low-temperature performance decreases by 18%. Under the same short-term and long-term aging conditions, MFPA exhibits better aging resistance. Specifically, its rutting resistance increases by 37%, and fatigue resistance improves by 30% compared with aged SBS-modified asphalt, while the low-temperature performance remains essentially unchanged. Full article

Forests are important food granaries. The accessibility of a healthy diet is the key factor in food and health equity. However, there is a lack of research focusing on its influence on locals at different levels of development. China’s population comprises various groups of farmers, allowing for the comparison of influence pathways across different economic levels of farmers. This research explores the topic with an empirical study conducted in Jiangxi Province, China, using data from 1939 valid responses collected across 216 villages. The analysis was performed using a mixed-effects ordered logistic model and a mediation effect model. The results of the baseline and mediation effect analyses reveal that there are four influence pathways. First, farmers’ forest resource endowments play a significant role in improving farmers’ perception of healthy diet accessibility (direct access type). Second, farmers’ forest resource endowments increase the accessibility of healthy diets by reducing the perceived costs of healthy diets (cost-relieving type). Third, farmers’ forest resource endowments increase the accessibility of a healthy diet by enhancing the perceived quality of the natural environment (quality scarcity type). Fourth, farmers’ forest resource endowments increase the perceived environmental quality, decrease the perceived costs of healthy diets, and affect the perception of healthy diets’ accessibility (cost-reducing type). The results of heterogeneity analysis based on the independent variables (health-related information, age, education level, disposable income, household size, communication and transportation convenience) reveal that for disadvantaged groups, the effect type tends to be the “direct access type” and “cost-relieving type”, and for advantaged groups, the effect type tends to be the “quality scarcity type”. Through empirical analysis, this study explains how forest resource endowments of different farmer groups influence their access to healthy diets, which lays a foundation for better understanding the association and formulating relevant policies. Decision makers should recognize the distinct influence of forest resource endowments on different farmer groups and develop policies related to forest resource management and healthy diets for farmers. Full article