Search Results (33)

As cities worldwide strive to promote healthy and sustainable non-motorized transport, the equity of dockless bike-sharing has become a central issue in urban transport planning. This study investigates the relationship between human-scale urban environmental perceptions and the equity of bike-sharing usage within 15-minute cycling catchments of metro stations. Using Shenzhen, China, as a case study, we integrated bike-share trip records from August 2021 (around 43 million trips), population grid data, and Baidu Street View images analyzed with deep learning models. The study first quantified the spatial inequality of bike-sharing usage within each metro catchment area using a per capita trip Gini coefficient. Subsequently, we assessed the correlation between these equity metrics and human-scale urban qualities quantified from street-level imagery. The findings reveal significant intra-catchment usage disparities, with some central urban station areas showing relatively equitable bike-sharing distribution (Gini as low as 0.37), while others, particularly on the urban fringe, exhibit highly inequitable patterns (Gini as high as 0.93). Spearman correlation analysis showed that catchments perceived as “livelier” and more “interesting” had significantly lower Gini coefficients, whereas other perceptual factors such as safety, beauty and wealth showed no significant linear relationship with equity. A Random Forest model further indicated that “liveliness” and “lack of boredom” are the strongest predictors of usage equity, highlighting the critical role of vibrant street environments in promoting equitable access. These findings bridge the fields of transportation equity and urban governance, suggesting that improving the human-scale environment around transit hubs, thereby making streets more engaging, safe, and pleasant, could foster more inclusive and equitable use of bike-sharing. Full article

Urban green spaces (UGSs) are critical to ecological sustainability and human well-being, but equitable access remains a key challenge, particularly in high-density cities. While existing studies have predominantly focused on parks, the role of non-park green spaces (NPGSs) has received limited attention. This study examines the spatial equity of NPGSs—an overlooked but essential component of urban green infrastructure in Inner London—using a typological classification informed by previous research, along with multi-threshold accessibility assessment and spatial justice evaluation. We apply GIS-based buffer analysis, decomposed Gini coefficients, and Moran’s I clustering to quantify distributional disparities. The main findings are as follows: (1) five NPGS types are defined and mapped in Inner London: Natural and Protected, Community and Household, Purpose-Specific, Linear, and Underutilized; (2) significant accessibility inequities exist among NPGS types, with Community and Household demonstrating high equity (Gini coefficient < 0.25), while Underutilized exhibit severe deprivation (Gini coefficient > 0.74); (3) spatial clustering analysis reveals a core–periphery differentiation, characterized by persistent low–low clusters in central boroughs and emerging high–high hot spots in southeastern/northwestern boroughs. This study underscores the critical role of NPGS in complementing park-based greening strategies and provides a transferable framework to assess green equity, thereby contributing to the achievement of the United Nations Sustainable Development Goals (SDGs). Full article

High-quality growth of the construction industry and an improved human settlements environment are essential to sustainable urbanization. Existing studies have paid limited systematic attention to the spatial and temporal dynamics of the coordinated development between the construction industry and human settlements, as well as the underlying factors driving regional disparities. This gap restricts the formulation of precise, differentiated sustainable policies tailored to regions at different development stages and with varying resource endowments. Southern China, characterized by pronounced spatial heterogeneity and unique development trends, offers a natural laboratory for examining the spatio-temporal interaction between these two dimensions. Using panel data for 15 southern provinces (2013–2022), we applied the entropy method, coupling coordination model, Dagum Gini coefficient, spatial trend surface analysis, gravity model, and grey forecasting to evaluate current conditions and predict future trends. The main findings are as follows. (1) The coupling coordination degree rose steadily, forming a stepped spatial pattern from the southwest through the center to the southeast. (2) The coupling coordination degree appears obvious polarization effect, presenting a spatial linkage pattern with Jiangsu-Shanghai-Zhejiang, Hubei-Hunan-Jiangxi, and Sichuan-Chongqing as the core of the three major clusters. (3) The overall Dagum Gini coefficient declined, but intra-regional disparities persisted: values were highest in the southeast, moderate in the center, and lowest in the southwest; inter-regional differences dominated the total inequality. (4) Forecasts for 2023–2027 suggest further improvement in the coupling coordination degree, yet spatial divergence will widen, creating a configuration of “eastern leadership, central catch-up acceleration, and differentiated southwestern development.” This study provides an evidence base for policies that foster high-quality construction sector growth and enhance the living environment. The findings of this study indicate that policymaking should prioritize promoting synergistic regional development, enhancing the radiating and driving role of core regions, and establishing a multi-level coordinated governance mechanism to bridge regional disparities and foster more balanced and sustainable development. Full article

Background/Objectives: Inequalities in access to nursing professionals represent a significant challenge to achieving equity in healthcare systems. In decentralized countries like Italy, disparities in the distribution of nurses persist despite a universal national health system. This study investigates the extent and determinants of regional inequality in the distribution of the nursing workforce in Italy. Methods: A retrospective ecological analysis was conducted using administrative data from official national sources (ISTAT, Ministry of Health) concerning the number of nurses and population per region, along with Human Development Index (HDI) data from 2021. Descriptive statistics, the Gini coefficient, Lorenz curve, and Pearson correlation were used to assess inequality and identify influencing factors. Results: The national Gini coefficient was 0.136, indicating a moderate degree of inequality in the distribution of nurses across Italian regions. A strong positive correlation was observed between HDI and nurse-to-population ratio (r = 0.76, p < 0.001), suggesting that more developed regions have higher nursing density. Conclusions: Despite a universal healthcare system, Italy shows persistent regional disparities in nurse distribution. These findings emphasize the need for targeted policies and coordinated planning to reduce inequalities and ensure equitable access to nursing care across all regions. Full article

Enhancing human well-being is a core priority of the Sustainable Development Goals. Understanding urban–rural well-being disparities is crucial for bridging gaps and improving social harmony. However, most existing studies focus on either urban or rural residents’ well-being, neglecting their disparities. This study quantified and compared the spatiotemporal patterns of the well-being of urban and rural residents in the Yangtze River Delta (YRD) urban agglomeration from 2000 to 2020 using the human development index (HDI). Results show the following: (1) Urban and rural well-being improved markedly from 2000 to 2020, with urban HDI increasing from 0.66 to 0.83 and rural HDI from 0.55 to 0.74. (2) Urban education and rural income inequalities were more pronounced, with the average Gini coefficients over 2000–2020 more than threefold and twofold those of urban and rural health, respectively. (3) Although disparities existed between urban and rural well-being, rural HDI had grown faster between 2000 and 2020, narrowing the urban–rural gap. From 2000 to 2020, the growth rate for rural HDI (34.55%) exceeded that for urban HDI (27.13%). To foster the shared urban and rural well-being, this study recommends diversifying rural industries, optimizing educational resources, and enhancing rural healthcare infrastructure in the YRD and beyond. Full article

Amidst escalating global environmental challenges, ecological development has become crucial for sustaining human well-being and planetary health. China, with its ambitious ecological civilization agenda, is at the forefront of this transition. This paper calculated the Gross Ecosystem Product (GEP) for China from 2005 to 2020 and employed the Dagum Gini coefficient to analyze regional ecological disparities. Results show that GEP grew steadily from CNY 47.17 trillion in 2005 to CNY 74.40 trillion in 2020, but this growth lagged behind GDP expansion. Regulation Services, though dominant, exhibited the slowest growth, hindering full realization of ecological product values. Regional disparities were prominent, with the western region having higher GEP but lower per unit area value, indicating inefficiencies in value realization. Eastern regions excelled in material and Cultural Services but had lower regulation service values. These findings underscore the need for balanced ecological development policies that enhance ecosystem regulation, reduce regional inequalities, and optimize ecological product value realization for sustainable growth. Full article

The empirical findings of this study suggest a significant long-term relationship between the probability of mortality due to non-communicable diseases (NCDs) among individuals aged 30–70 in Azerbaijan and key economic and social indicators, including Gross Domestic Product per Capita, Waged Employment, Human Development Index, and out-of-pocket health expenditures. The Error Correction Model coefficient (−0.724701) implies that the system adjusts back to equilibrium at a rate of 72.47% per period, highlighting a strong corrective mechanism. Additionally, in the short run, GDP, HDI, wage employment, and out-of-pocket health expenditures significantly influence mortality rates. The model’s statistical diagnostics confirm its robustness, and the results align with economic theory, reinforcing their validity and policy relevance. According to the conclusion of this research, we suggest the enhancement of the HDI and Employment, control out-of-pocket expenditures, and increase Government Healthcare Spending to significantly reduce mortality rates. This study emphasizes that enhancing social determinants like the HDI, Waged Employment, and accessible healthcare services is crucial for reducing mortality rates of NCDs. While Azerbaijan’s economic growth has improved living standards, further efforts are necessary to improve healthcare investments and reduce inequalities in health outcomes. Full article

Carbon emissions from human activities such as production and consumption have exacerbated climate deterioration. A common worldwide objective is to create a low-carbon economy by implementing carbon reduction measures in production, consumption, and other processes. To this end, this paper explores the production, price, carbon reduction rate, and profit or utility for a dual-channel low-carbon supply chain network (DLSCN) that includes numerous competing suppliers, manufacturers, risk-averse retailers, and demand markets under carbon trading. In order to create an equilibrium model for the DLSCN, risk-averse retailers are characterized using the mean-CVaR method, and each member’s optimal decision-making behavior is described using variational inequalities. A projection contraction algorithm is used to solve the model, and numerical analysis is presented to investigate how risk aversion, carbon abatement investment cost coefficients, and carbon trading prices affect network equilibrium. The results indicate that increasing retailers’ risk aversion can enhance supply chain members’ profits and carbon reduction rates. Retailers prioritize expected profits, while other members prefer them to focus more on CVaR profits. When retailers are more risk-averse and value CVaR, traditional retail channels become more popular. Increasing the carbon reduction investment cost coefficients for suppliers and manufacturers can boost their profits, and retailers also support this move to charge more for low-carbon products and enhance utility. When carbon trading prices rise, suppliers and manufacturers opt to increase carbon reduction rates to generate more profits from selling carbon allowances. This study provides decision-making references for achieving both economic and environmental benefits for members of DLSCN. Full article

Background/Objectives: The uneven distribution of nurses in Albania is a major problem that compromises equitable access to health services. Rural and less developed regions suffer from a chronic shortage of nursing staff, while urban areas attract health professionals. This study aims to quantify the inequalities in the distribution of nurses in Albania, analyzing the nurse-to-population ratio and its impact on the quality of healthcare. The main objective of this study is to examine the distribution of the nursing workforce in Albania and assess regional disparities, using the Gini coefficient and the Human Development Index (HDI) to measure and compare inequalities between regions. Methods: This descriptive–analytical study was conducted in 2024. The data were collected from official sources, including the Albanian Ministry of Health and the World Health Organization (WHO). The Gini coefficient and the Lorenz curve were used to analyze the distribution of nurses in relation to the population and HDI of the different regions. The analysis included data on the number of nurses, population, and regional socioeconomic conditions. Results: The average nurse-to-population ratio in Albania is 28 nurses per 10,000 inhabitants, with significant variations between regions. Tirana has the highest ratio (60 nurses per 10,000 inhabitants), while Kukës and Dibër have the lowest values (10 per 10,000 inhabitants). The calculated Gini coefficient is 0.0228, indicating a very low level of inequality in the distribution of the nursing workforce. Conclusions: Inequalities in the distribution of nurses in Albania require targeted policy interventions. Policies are needed that incentivize health workers to work in less developed regions, through economic incentives, infrastructure improvements, and lifelong learning programs. These interventions are essential to reduce disparities and ensure equitable access to health services across the country. Full article

The support capacity of built barrier-free facilities often does not align with the actual needs of urban residents, leading to travel obstacles for people with disabilities and posing a threat to the healthy and sustainable development of cities. It is necessary to evaluate the performance of barrier-free facilities from the perspective of demand. However, traditional performance evaluation methods conceal the differences in barrier-free facility performance among different groups of people. Therefore, this paper aims to clarify the barrier-free demand attributes of urban residents under different behavioral states, quantify the differences in residents’ needs based on demand priorities, and establish a human factor performance evaluation model for barrier-free facilities. Eighteen barrier-free needs of Chinese urban residents were identified through text mining. The demand priorities of individuals in various behavioral states for four typical ramps were then calculated using the Kano comprehensive satisfaction coefficient and importance coefficient. Expert evaluations of the facilities’ fulfillment of needs were gathered using the fuzzy Delphi method. Finally, the human factor performance of the facilities was determined based on the demand priority and fulfillment levels. The results show that even barrier-free facilities with high performance exhibit performance inequalities among the population, and this inequality is more obvious in relatively disadvantaged groups. Building a coordinated barrier-free environment with facilities, services, and assistive devices is an effective means to make up for the insufficient performance of barrier-free facilities. This approach not only enhances the support capacity of the environment but also contributes to the sustainable development of urban communities by ensuring equitable access for all residents. Full article

The non-farm sector is critical in supporting sustainable economies, alleviating poverty, and improving human well-being. However, the drivers of non-farm income and how it impacts income inequality remain underexplored, especially in alpine regions worldwide. Herein, we conducted face-to-face interviews using semi-structured questionnaires with 665 herder households across 54 villages in North Tibet from 2018 to 2020. We assessed the role of non-farm income in household economies and explored the determinants of household income using basic statistical methods, Gini coefficient analysis, and mixed-effects modeling. Our results showed that non-farm income accounted for approximately 80% of the total household income. It contributed to lower income inequality in rural North Tibet, with government subsidies playing a more vital role than wages and business income in this reduction. Results indicated that the number of migrant workers was the most significant positive predictor of both non-farm income and total household income, whereas livestock units dominated farm income. Given the modest contributions of livestock-derived income (~5%) and wage and business revenues (~18%) to overall earnings, this study suggests that policies should primarily focus on strengthening rural livestock husbandry. Simultaneously, it is imperative to foster environments that encourage entrepreneurship and non-farm activities and to expand access to skill-based training. Such initiatives and measures are essential for diversifying livelihood strategies and improving resident welfare in North Tibet. Full article

Urban park green spaces (PGSs) are crucial social public resources that provide various ecological services and enhance human health and well-being. However, with the acceleration of urbanization, the accessibility and equity of urban PGS resources are increasingly threatened. This study aims to propose an integrated framework that considers accessibility and equity simultaneously to optimize the planning and layout of urban PGS within the high-speed ring road of Hefei City. This study first used an improved two-step floating catchment area (2SFCA) method to quantify the level of accessibility of urban PGS within the ring road. Then, with the use of Lorenz curves, Gini coefficients, and bivariate correlation coefficients, the equity characteristics of these PGSs were quantified and evaluated, followed by an analysis of their relationships to the accessibility levels. Based on this comprehensive evaluation, the particle swarm optimization (PSO) algorithm was employed to the areas with low accessibility and equity levels to propose targeted PGS optimization strategies. The results showed that the accessibility of PGS was unevenly distributed, exhibiting a clear spatial difference of “east–west clustering”. The number of subdistricts with good (52.24–94.78) and best (94.79–283.58) accessibility was four, which was less than one-tenth of the total number of subdistricts in the study area. At the subdistrict level, the Gini coefficients for the accessible area of all types of PGSs were substantially higher than the international warning line of 0.4, indicating a substantial inequity in the population’s access to PGS. The implemented PSO algorithm resulted in eight new parks being planned at the specific optimized locations. Based on the actual land use status of the selected sites, recommendations are provided for the planning and layout of PGS. This proposed framework offers valuable data and theoretical insights for urban public green space planning and design in similar regions. Full article

Rapid urbanization is widespread globally, particularly impacting developing countries. In the face of climate challenges and shrinking public spaces resulting from urbanization, the significance of green infrastructure (GI) for human well-being and sustainability has increasingly taken center stage. This study employs an array of social-environmental benefits to evaluate GI’s contributions to human well-being, including mitigation of the urban heat island (UHI) effect, recreational functions, enhanced landscape connectivity, and efficient stormwater management. By mapping GI’s advantages, we scrutinized tradeoffs and ‘hot spots’ linked to these benefits within a metropolitan region. Moreover, we correlated GI’s advantages with the well-being of different socio-economic status (SES) groups by global and local regression. The study reveals environmental inequality, with higher SES areas—such as affluent and well-educated neighborhoods—providing superior and multifaceted GI benefits. The income coefficient is significantly positively correlated with the recreation function at the 1% significance level, while the coefficient for education is significant at the 10% level. Moreover, the income coefficient (0.349) surpasses the education coefficient (0.012). Our research also highlights that accessibility to GI’s recreational services may be an essential and overlooked indicator of environmental justice, especially for communities with a high proportion of elderly and low-income individuals. Full article

Geoscientists are involved in both the upstream and downstream side of the extractive industries. As explorationists and field geologists, they are often the first technical people related to extractive industries that communities meet. It is imperative in an increasingly globalized and holistic world that geoscientists gain greater awareness of the socio-economic impact of extractive industries and become a more proactive part of improving outcomes for all with respect to extractive industries. When Jigme Singye Wangchuk, the King of Bhutan, first suggested the concept of ‘Gross National Happiness’ (GNH) in 1972, it was met with widespread cynicism and puzzlement. Was the concept meaningful in a hard, economically competitive world? A series of measures, including the Human Development Index (HDI), the Gini Coefficient (GC), and the now annual World Happiness Report (WHR), are evolutionary responses to the 1972 GNH and are widely accepted as proxy measures of holistic human progress. These measures go beyond the narrow confines of Gross Domestic Product and similar economic proxies, placing economic parameters alongside the social, environmental, spiritual, human rights, health, and holistic societal issues. The broad conclusions of the plethora of metrics are that ‘happiness’ links to issues and ideas such as equity, minimal economic inequality, excellent governance, human rights, individual freedom, and so forth. We ask the question: what is the relationship between extractive industries (EIs) and GNH? We present a wide range of data and analytical diagrams/text examining potential correlations and associations between GNH and EIs. We examine potential relationships using global data and case studies for Papua New Guinea, Mongolia, the DRC, and Jamaica. The conclusions of this analysis of course suggest a complex relationship between EIs and GNH. We acknowledge that in situations of weak governance and institutions, EIs struggle to make any tangible difference with respect to GNH. A counter conclusion that EIs may even be a major cause of weak governance, which in turn suppresses happiness, must be seriously considered. We document examples where EIs have made a definitive positive improvement to GNH. Data suggest that hydrocarbon-rich countries have made better progress with respect to GNH than mineral-rich countries. However, the main conclusion is that the link between EIs and GNH remains a work in progress, and that a narrow focus on profit and shareholder return is an antithetical approach to the GNH paradigm. A key recommendation is that industry must adopt a far more active role (rather than merely a passive role) with respect to translating the many potential benefits of EIs into GNH than has hitherto been the case. Full article

Access to drinking water is recognized as a human right, meaning that it is necessary to guarantee its universal and equitable access. Since analyzing only the average access rates to drinking water may obscure inequalities, studies have adapted socioeconomic inequalities indices to assess disparities. This research evaluated the Safe Drinking Water Access Index (SDWA) and inequalities access in all Brazilian municipalities using microdata from the 2010 Demographic Census. The inequalities were analyzed adapting indices derived from the Lorenz curve (Gini index, concentration coefficient and dissimilarity index). The results showed that the lowest SDWA rates and the highest inequality index values occurred in the north and northeast regions. The municipalities with significant inequality indexes values were rural with reduced gross domestic product (GDP) per capita. It was possible to punctuate municipalities that do not fit these rules but still need attention to safe water access guarantee. The amplitude of inequality index results reveals significant inequalities in the same regions or SDWA ranges. The inequalities in safe drinking water access were made more evident by the adapted Gini Index. This research contributes to the literature with an unprecedented analysis of Brazil and could be adapted to other countries and replicated to assess inequalities in sanitation access. Full article