Search Results (65)

With the rapid advancement of urbanization, the increasing demand and insufficient supply of public service facilities for children have become urgent problems requiring resolution. This study employs the Shannon diversity index, the location entropy, spatial autocorrelation, and the Geographically Weighted Regression (GWR) to analyze the spatial distribution characteristics and influencing factors of children’s public service facilities in the central urban area of Shenyang. The findings of the study are as follows: (1) There are significant differences in the spatial distribution of children’s public service facilities. Higher quantity distribution and diversity index are observed in the core area and Hunnan District compared to the peripheral areas. The Gini coefficient of various facilities is below the fair threshold of 0.4, but 90.32% of the study units have location entropy values below 1, indicating a supply–demand imbalance. (2) The spatial distribution of various facilities exhibits significant clustering characteristics, with distinct differences between high-value and low-value cluster patterns. (3) The spatial distribution of facilities is shaped by four factors: population, transportation, economy, and environmental quality. Residential area density and commercial service facility density emerge as the primary positive drivers, whereas road density and average housing price act as the main negative inhibitors. (4) The mechanisms of influencing factors exhibit spatial heterogeneity. Positive driving factors exert significant effects on new urban areas and peripheral zones, while negative factors demonstrate pronounced inhibitory effects on old urban areas. Non-linear threshold effects are observed in factors such as subway station density and public transport station density. Full article

Occupational exposures in the agricultural industry globally have been associated with heightened risk for several diseases. Reports written in South Africa in the last decade have raised awareness of the harsh occupational conditions and human rights abuses suffered by farmworker communities in the wine industry. Despite receiving “fair trade” labels upon reentry into the global market in the 1990s, the working conditions on wine farms in South Africa have remained unchanged and exploitative for centuries. Farmworkers remain dependent on substandard farm housing, have insecure land tenure rights, are exposed to toxic pesticides, are denied access to benefits and unionization, and endure long working hours in harsh environmental conditions with low pay. These occupational conditions are linked to interacting disease clusters: metabolic syndrome, problematic drinking, and communicable diseases including tuberculosis, HIV, and COVID-19. This milieu of interacting diseases with deleterious outcomes is an under-considered occupational syndemic that will likely worsen given both the lasting impacts of COVID-19 and more recent shifts in global public health funding. Full article

Managing risk, matching resources efficiently, and ensuring fair allocation are fundamental challenges in both finance and decision-making processes. In many scenarios, participants contribute unequally to collective outcomes, raising the question of how to distribute costs, benefits, or opportunities in a justifiable and optimal manner. This paper applies the Shapley value—a solution concept from cooperative game theory—as a principled tool in the following two specific financial settings: first, in tax cooperation games; and second, in assignment markets. In tax cooperation games, we use the Shapley value to determine the equitable tax burden distribution among three firms, A, B, and C, which operate in two countries, Italy and Poland. Our model ensures that countries participating in coalitions face a lower degree of tax evasion compared to non-members, and that cooperating firms benefit from discounted tax liabilities. This structure incentivizes coalition formation and reveals the economic advantage of joint participation. In assignment markets, we use the Shapley value to find the optimal pairing in a four-buyers and four-sellers housing market. Our findings show that the Shapley value provides a rigorous framework for capturing the relative importance of participants in the coalition, leading to more balanced tax allocations and fairer market transactions. Our theoretical insights with computational techniques highlights the Shapley value’s effectiveness in addressing complex allocation challenges across financial management domains. Full article

The interplay between land availability and the housing market highlights the importance of government intervention through land policies. Effective land policies ensure in-time land availability and facilitate private sector involvement in housing development. This study examines how public land policies influence formal housing development by the private sector, with a particular focus on land banking strategies—mechanisms involving the acquisition and holding of land for future use to ensure availability and capture value increases. While land banking policy aims to serve public benefits, private-sector land banking often prioritizes profit, creating governance challenges that shape housing development outcomes. This paper analyzes this phenomenon in the context of Indonesia by developing analytical framework of legitimacy, effectiveness, efficiency, and fairness. As a rapidly growing country with significant housing backlogs and a private-sector-dominated market, Indonesia’s land regulations present a critical case for examining these dynamics. Our analysis shows that while regulatory framework regulations emphasize land consolidation, acquisition, and development as instruments to facilitate private sector involvement in housing development, weak enforcement and regulatory ambiguities often undermine their effectiveness. The findings indicate that private-sector land banking is largely speculative, driven by profit-maximization strategies rather than housing provision, and is reinforced by inconsistent policy enforcement at the municipal level. A municipal case study further illustrates how governance challenges and discretionary compliance allow private developers to prioritize profitability over the affordable housing needs outlined in public policies. While land policies in Indonesia are framed as comprehensive planning tools, their implementation often favors specific beneficiaries, limiting their broader social impact. Full article

Ensuring that “each household has a dwelling” is a fundamental principle in the reform of the rural housing system. Pilot areas for residential reform have achieved positive outcomes in rural collective housing. This paper, based on a field study conducted in District D of Province G, utilizes a case study methodology and the Institutional Analysis and Development (IAD) framework to explore the driving mechanisms behind the implementation of collective housing in the pilot villages of District D. It comprehensively analyzes the roles of various stakeholders throughout the entire process of “planning, construction, distribution, and management”, and evaluates the effectiveness of the initiative. The findings of the study indicate that collective housing construction can effectively alleviate land scarcity, meet the housing demands of rural residents, and enhance the overall rural environment. To ensure the successful implementation of collective housing projects, the government must assume a coordinating and guiding role, providing necessary financial and land support while streamlining the approval process. Village collectives should actively manage residential land and respect the preferences of farming households. Furthermore, pricing, allocation, and management strategies should be tailored to local conditions to ensure fairness and safeguard farmers’ rights and interests. Policies should remain adaptable, taking into account regional differences in geography, society, and culture, and selectively incorporating collective housing models to achieve the goal of “each household having a dwelling.” Full article

People experiencing, or at risk of, homelessness face challenges that result in poorer health outcomes compared to those in stable housing. This study provides the results of over 40 health measures that capture the health status of a group of people in temporary accommodation due to experiencing homelessness, aged 22 to 84 years, in an inner-city location, invited to participate in a comprehensive assessment of physical and psychological health. Evidence of accelerated ageing was found, with 44.2% of people being clinically frail, 63% having poor functional movement, and 36% having pain associated with oral health. Additionally, 90.6% of participants showed health risks due to nutritional deficiencies, over half reported poor sleep quality, 55.3% reported having psychological distress, and almost half reported fair or poor overall dental health. This study suggests a pathway to providing a relatively easily implemented series of health assessments to help respond to a group of underlying causes for accelerated ageing among a group of inner-city people experiencing homelessness. This work can be used to inform the prioritisation and development of community-based health services to address functional deficits that may contribute to accelerated ageing. Full article

With the aim to characterise the situation of the subsector, 25 poultry farms of the endangered native Utrerana chicken egg-laying-oriented breed (Gallus gallus Linnaeus, 1758) were surveyed in Andalusia (southern Spain) from 2021 to 2023 to investigate the structure of the farms, number of birds, health status, feeding management, and marketing of their products. It was found that the pace of foundation of Utrerana chicken farms accelerated from 2009, and most of the farms were concentrated in the province of Seville. Only 40% of the farms were legally registered. This breed is raised on small farms mainly dedicated to self-supply and raising birds for conformation and their aesthetic values, with limited marketing of eggs and meat, with facilities consisting often of one poultry house and one outdoor enclosure, and with a low number of laying hens per farm (53.5 on average). Current productivity is low, with an average of 139 eggs per hen per year, but hens have a long reproductive lifespan, averaging 4 years. The Partridge variety of the breed was the most common, followed by the Black-barred and Black varieties, while the White variety was very scarce, with only 31 specimens in total. Two-thirds of the farmers also raised other breeds of chickens, in addition to the Utrerana. The management and production system was free-range or backyard, with a certain proximity to the requirements of European Union-certified organic production with regard to stocking densities and generally with a good sanitary status, respect for welfare, and implementation of biosecurity measures on the farms. The feeding of the chickens was based on grazing in outdoor enclosures and on the provision of grains and compound feed, with 40.0% of farmers using commercial compound feed and half preparing feed themselves. Two-thirds of the farmers were affiliated with the National Association of Utrerana Chicken Breeders (“Asociación Nacional de Criadores de Gallinas Utreranas”, ANCGU, in Spanish); almost half of them took part with their birds in fairs and conformation shows, such as the Utrerana Chicken Fair held in Utrera (province of Seville) and more than a quarter of them have sold live birds of the breed at these fairs. The farmers carry out few promotional and advertising activities for their farms and products, predominantly by using social networks, and the market area reached is mainly local. In conclusion, this research has shown that the current alternative production system for Utrerana chicken is similar to that of the hens that originated the breed and consists of a few amateur farms, with a small number of birds, distributed mainly throughout the Andalusian countryside. It has been highlighted that there is a need for the livestock authorities to implement programmes for supporting farmers and promoting the breeding of this endangered avian breed, native to the Spanish zoogenetic heritage. Full article

Recently, urban spatial equity has become a research hotspot, but research focuses on the equity of work commuting from different dimensions. This paper aims to determine the fairness difference of work commuting in Chengdu from three different dimensions by analyzing job accessibility in Chengdu. Firstly, population residence and employment data are obtained by using mobile phone signaling data, real-time travel data are obtained by using Amap API, and regional housing information is obtained from a real estate website. Secondly, the differences in time and cost of job accessibility in different regions are calculated under different time thresholds. Finally, the equity of job accessibility is evaluated by using the Theil index and the Gini coefficient from three new perspectives: transport mode, house price economy, and spatial region. The experimental results show that (1) when time threshold increases, public transport in Chengdu is more equitable, while car traffic is opposite; (2) regions with higher prices are generally fairer; and (3) Chengdu’s equality disparities are more between areas than within areas. In addition to proposing a new accessibility formula based on travel impedance, this study suggests a new method for analyzing equity differences in Chinese cities that can serve as a reference for future researchers. At the same time, the results provide a scientific basis for optimizing the social spatial distribution of public transport services in Chengdu. Full article

In recent years, advanced controllers, including Model Predictive Control (MPC), have emerged as promising solutions to improve the efficiency of building energy systems. This paper explores the capabilities of MPC in handling multiple control objectives and constraints. A first MPC controller focuses on the task of ensuring thermal comfort in a residential house served by a heat pump while minimizing the operating costs when subject to different pricing schedules. A second MPC controller working on the same system tests the ability of MPC to deal with demand response events by enforcing a time-varying maximum power usage limitation signal from the electric grid. Furthermore, multiple combinations of the control parameters are tested in order to assess their influence on the controller performance. The controllers are tested on the BOPTEST framework, which offers standardized test cases in high-fidelity emulation models, and pre-defined baseline control strategies to allow fair comparisons also across different studies. Results show that MPC is able to handle multi-objective optimal control problems, reducing thermal comfort violations by between 66.9% and 82% and operational costs between 15.8% up to 20.1%, depending on the specific scenario analyzed. Moreover, MPC proves its capability to exploit the building thermal mass to shift heating power consumption, allowing the latter to adapt its time profile to time-varying constraints. The proposed methodology is based on technologically feasible steps that are intended to be easily transferred to large scale, in-field applications. Full article

Malaysia, a country with a tropical climate characterized by consistent warmth and year-long high humidity, houses the perfect conditions for mushroom growth. Recently, there has been a surge in back-to-nature activities in Malaysia. However, many participants lack prior knowledge about the local flora and fungi, leading to a rise in mushroom poisoning cases, some of which have been fatal. Despite thorough research, there is a notable lack of identification studies specifically focused on mushroom species in Malaysia. Identifying these species is crucial for medical providers to effectively counteract the toxins from ingested mushrooms and also serves as an important educational tool. This study aims to determine the most suitable architecture for mushroom identification, focusing specifically on mushroom species found in Malaysia. A dataset of these mushrooms was curated, augmented, and processed through multiple variants of Vision Transformers (ViTs) and ResNet models, with uniform hyperparameters to ensure fairness. The results indicate that the ViT-L/16 model achieved the highest accuracy at 90.47%. Full article

The United Nations’ Agenda 2030 has established a series of Sustainable Development Goals to address global challenges, including poverty, food insecurity, access to education, and social inequality. In this context, charitable organizations such as Caritas play a crucial role in mitigating the negative effects of these challenges and promoting fair and sustainable development. This study aims to analyze prevalent needs among individuals seeking assistance from Caritas in Campania and examine how the organization contributes to achieving the Agenda 2030 Goals in the region. The statistical investigation techniques considered include tandem analysis a dimension-reduction technique, such as multiple factor analysis, and then a cluster analysis to identify similar groups of individuals. These exploratory data analysis methods have allowed for the identification of common needs, including food assistance, support for education, employment, and housing assistance. Subsequently, Caritas programs and initiatives aimed at meeting these needs and promoting sustainable development are explored. The results indicate that Caritas plays a significant role in addressing the urgent needs of the vulnerable population in Campania and contributes to the goals of Agenda 2030, particularly those related to poverty alleviation, immigration, health promotion, education, employment, and the reduction of social inequalities. This study provides an important perspective on the relevance and effectiveness of Caritas’s work in the context of Agenda 2030. Full article

Over the past few decades, Canadian courts have exerted strong influence over the meaning and operation of parliamentary privileges. Starting with a television producer’s Charter rights claim to access a provincial legislature’s public gallery and followed by an employment law claim made by the chauffeur to the Speaker of the House of Commons, the Supreme Court of Canada has articulated an approach under which judges closely scrutinise privileges invoked by legislatures when defending themselves against litigated claims. By applying the doctrine of necessity, Canadian courts make authoritative rulings on what counts as a valid legislative function and the processes and activities needed to fulfil those functions. Canadian courts also require the scope of parliamentary privileges to be pleaded in narrow terms that correspond to the details of a plaintiff’s claim, which has resulted in a hollowed-out conception of privilege over time. In scrutinising the necessity and scope of privilege, Canadian courts have chipped away at the separation of powers. Further, the Canadian approach unjustifiably prioritises the judicial vindication of private rights over the institutional needs of the legislature. Courts in other jurisdictions should reject the Canadian approach and avoid scrutinising the propriety of the exercise of privilege through a necessity test. Instead, courts should engage in a more limited jurisdictional test to confirm the availability of a relevant category of parliamentary privilege in law or historical practice. Judicialising parliamentary privileges weakens the autonomy and vitality of legislative institutions, with the Canadian approach serving as a cautionary tale. Ultimately, the legislature is accountable to the electorate for the exercise of its privileges. To promote fairness and reduce the risk of court interference, parliaments should strengthen the accountability and transparency associated with the exercise of their privileges, including by developing guidelines for their appropriate use. Full article

As Melbourne faces exponential population growth, the necessity for resilient urban planning strategies becomes critical. These strategies include mixed land use, density, diversity, and sustainable transportation through transit-oriented development (TOD). While TOD promises to accommodate growing populations and address environmental concerns, it also raises issues regarding its unintended consequences on poverty and inequality, notably through residential displacement and gentrification. This study investigates the impacts of TOD construction on inequality in Footscray, employing spatial analysis techniques like the hedonic price model (HPM), robust regression analysis, and Pearson correlation analysis. It aims to understand how spatial factors influence housing prices and their correlations. Additionally, the study uses observational spatial analysis via Google Street View (GSV) to examine indices such as housing development type, traffic signage, sanitation facilities, and house beautification. This approach seeks to build an evaluation framework to assess the extent of TOD street reconstruction and its impact on gentrification and displacement. The research adapts existing knowledge to create a tool for reviewing past planning decisions and assessing the fairness of TOD planning implementation. By providing assessment and guidance to mitigate the potential adverse impacts of TOD, this study contributes to the advancement of urban-planning practices, offering insights into mixed land use and effective strategies to balance economic development and social equity, thereby enhancing community resilience. Ultimately, this research deepens our understanding of the impacts of TOD on urban inequality and offers practical tools and insights for more equitable and sustainable urban development. Full article

Tracking food intakes using a mobile app can be an effective approach for some individuals, but it is crucial to consider their personal preferences and health status before adopting this method. Personalized nutrition apps can also serve as an efficient tool for collecting, analysing, and reporting dietary data to support dietary surveys, such as EU Menu by the European Food Safety Authority (EFSA). However, developing an easy-to-use and efficient app requires several essential components. This work presents the insights gained during the development of Eatvisor, a personalized nutrition mobile app. In Slovenia, there was a lack of such tools tailored to national food choices, dietary habits, and recommendations. The app utilizes a food composition database (FCDB) developed in Slovenia; however, the database had many missing compositional data for generic and branded foods. To address this issue, an in-house database management system (DBMS) was developed to support the compilation of different types of data from various sources, such as foreign FCDBs, GS1 Global Data Synchronisation Network (GDSN), database of waste streams, and crowdsourcing, while adhering to the food standards of CEN and respecting the FAIR (Findable, Accessible, Interoperable, Reusable) principles. It is worth emphasizing that compiling a FCDB is a complex task that requires up-to-date knowledge and technical solutions to streamline and expedite the process. Specifically, the DBMS was integrated with semantic resources for organizing knowledge about food (FNS-Harmony ontology linked with FoodOn), as well as food-related regulatory issues. Additionally, methodologies were developed to support missing data imputation in a semi-automated way, and DBMS was designed to manage missing dietary recommendations in a machine-readable format. Moreover, DBMS allows collecting and linking data and knowledge required for personalized advising, including food composition data, biomarker reference intervals, and tailored dietary advice, for both domain experts and machines. Finally, this work evaluates DBMS from the perspective of the data and knowledge required for the development of a personalized nutrition mobile app, such as Eatvisor. The results suggest that DBMS can effectively support the development of a personalized nutrition app, and the methods used can serve as a framework for developing similar apps in other regions. Full article

Background: This paper is based on results from the Survey of Health, Ageing and Retirement in Europe (SHARE), exploring many aspects (health, economic situation and welfare) of the European population aged 50+. Differently from many other international studies, SHARE includes persons living in nursing homes or residential care facilities as part of its sample. The aim of this paper is to provide a socio-demographic, functional and psychosocial snapshot of older residents in nursing homes in Europe. Methods: This paper uses data from SHARE Wave 8/2020, carried out in 27 European countries. A quantitative/descriptive approach explores the prevalence of older people aged 65+ living in residential facilities as mapped by the SHARE survey across Europe, with regard to associated dimensions, i.e., socio-demographic, family relationship, perceived health/main diseases, functional and psychological status. Results: These show that older residents live mainly in Central and Northern Europe, are aged 80+, female and widowed. A small social network (SN) size is often reported. Health is perceived, above all, as being fair–poor, and the presence of long-term illness is high, with several chronic health conditions and functional limitations. The reported quality of life (QoL) is low for most respondents, with moderate–low satisfaction with life. Conclusion: The analysis depicts a profile of seniors needing residential care in Europe, and provides useful insights for policymakers, to better sustain this frail population group, and to allow and improve access to high-quality long-term care (LTC) in Europe. Our findings could also be of help to train health professionals, and potentially drive the research towards the exploration of new housing solutions for seniors. This would in turn contribute to the effective implementation of European initiatives to strengthen LTC systems. Full article