Search Results (736)

In an era of rapid technological advancement, decisions about the ownership and governance of emerging technologies like Artificial Intelligence will shape the future of both urban and rural environments in the Global North and South. This article explores how AI can move beyond the noise of algorithms by adopting a technological humanistic approach to enable Social Innovation, focusing on global inequalities and digital justice. Using a fieldwork Action Research methodology, based on the Smart Rural Communities project in Colombia and Mozambique, the study develops a framework for integrating AI with SI. Drawing on insights from the AI4SI International Summer School held in Donostia-San Sebastián in 2024, the article examines the role of decentralized Web3 technologies—such as Blockchain, Decentralized Autonomous Organizations, and Data Cooperatives—in enhancing data sovereignty and fostering inclusive and participatory governance. The results demonstrate how decentralization can empower marginalized communities in the Global South by promoting digital justice and addressing the imbalance of power in digital ecosystems. The conclusion emphasizes the potential for AI and decentralized technologies to bridge the digital divide, offering practical recommendations for scaling these innovations to support equitable, community-driven governance and address systemic inequalities across the Global North and South. Full article

The design of urban systems that allow growth while also maximising ecosystem services is identified as an important priority for creating a Good Anthropocene. An ecosystem service (ES)-based approach to landscape interventions maximises the provision of ESs, and in doing so, repairs and reinforces threatened ecological planetary boundaries. As an urbanising planet, cities are critical frontiers of human interaction with these planetary boundaries, and therefore a critical arena for ES-based intervention. Globally, the predominant pattern of urbanisation is dedensification, an outwardly expanding trend where cities are growing in physical extent at a higher rate than their population growth. We therefore require spatially explicit tools capable of reconciling dedensification and Good Anthropocene visions. We propose a methodology that integrates agroecology and urbanisation and is focussed specifically on the supply of targeted regulating ESs. This ‘Agroecology for the City’ differs from conventional urban agriculture discourse and its preoccupation with food security. Our research interest is agroecological farm systems’ (AFSs) capacity to provide critical life support services in a spatially effective manner to urban systems. Our recent research introduced a new GIS-based model (ESMAX) and a spatial agroecology approach that identified AFS configurations at a 1 ha scale which maximised the supply of three regulating ESs, as well as multifunctional performance across all three ESs combined. In the present research, we apply this process at a larger scale, with 1 ha and 4 ha AFS parcels being integrated with a real-world 200 ha peri-urban residential development. The AFS parcels and built-up areas are configured differently to maximise the supply of ESs identified as critical by the local community. We found that arrangements with AFS parcels interspersed evenly with built-up areas provided the best multifunctionality across the four ESs tested. This supports pathways for a Good Anthropocene that work with the global urbanising reality of dedensification and underpin the need for a hybrid science of rural/urban systems. Full article

Urban development in south-eastern Europe has significant ecological consequences, such as a reduction in native plant diversity, the introduction of non-native species, and increased maintenance costs of urban green spaces. Achieving sustainable urban development requires a thorough understanding of the inventory of native plant species to better manage and conserve these areas. This study analyzed 806 vegetation surveys conducted in rural and urban areas over a 30-year period, identifying 450 plant species from 39 distinct plant communities. Our findings revealed generally low dominance index values in all communities, while Shannon diversity index values were particularly high, indicating rich species diversity despite urbanization pressures. Equality index values varied slightly, reflecting differences in species distributions. Principal component analysis (PCA) identified a substantial group of species with low abundance, which is essential for understanding and managing urban biodiversity. These findings have significant implications for urban planning and plant species conservation. Low dominance and high diversity suggest opportunities to improve urban green spaces by integrating diverse native species. In addition, the ecological and practical value of ruderal species, plants that thrive in disturbed environments, was emphasized, as well as their potential in medicine, phytoremediation, green roof design, and pollination services. Through directly correlating biodiversity indices with urban sustainability goals, our study provides useful insights for urban biodiversity management and the strategic integration of native plant species into urban landscapes. Full article

Background: Lower respiratory tract infections (LRTIs) are a significant cause of primary care consultations. Differentiating between viral and bacterial infections is critical for effective treatment and to minimize unnecessary antibiotic use. This study investigates the impact of combining lung ultrasound (LUS) with capillary blood C-reactive protein (CRP) rapid testing on clinical decision-making for patients with LRTIs. Objectives: The primary objective is to assess how the integration of CRP testing and LUS influences antibiotic prescription decisions. The study aims to quantify the percentage change in antibiotic prescriptions before and after performing LUS, following history taking, clinical examination, and CRP testing. Methods: This analytical observational study will be conducted in six primary care centers within the Health Region of Lleida, Catalonia, serving a mixed urban and rural population of approximately 105,000 residents. The study will recruit 196 patients aged 18 and over, presenting with LRTI symptoms and not treated with antibiotics in the preceding 14 days. Participants will undergo CRP testing followed by LUS during their consultation. Statistical analyses, including linear regression, bivariate analysis, Pearson or Spearman correlation, and logistic regression, will be used to evaluate the impact of LUS on clinical decisions and its predictive value in diagnosing bacterial infections. Results and Conclusions: This study will provide insights into the role of LUS combined with CRP testing in improving diagnostic accuracy and guiding antibiotic prescription decisions in primary care. The findings aim to enhance treatment protocols for LRTIs, reducing unnecessary antibiotic use and improving patient outcomes. Full article

Groundwater salinization poses a critical threat to sustainable development in arid and semi-arid rurbanizing regions, exemplified by Kerman Province, Iran. This region experiences groundwater ecosystem degradation as a result of the rapid conversion of rural agricultural land to urban areas under chronic drought conditions. This study aims to enhance Groundwater Pollution Risk (GwPR) mapping by integrating the DRASTIC index with machine learning (ML) models, including Random Forest (RF), Boosted Regression Trees (BRT), Generalized Linear Model (GLM), Support Vector Machine (SVM), and Multivariate Adaptive Regression Splines (MARS), alongside hydrogeochemical investigations, to promote sustainable water management in Kerman Province. The RF model achieved the highest accuracy with an Area Under the Curve (AUC) of 0.995 in predicting GwPR, outperforming BRT (0.988), SVM (0.977), MARS (0.951), and GLM (0.887). The RF-based map identified new high-vulnerability zones in the northeast and northwest and showed an expanded moderate vulnerability zone, covering 48.46% of the study area. Analysis revealed exceedances of WHO standards for total hardness (TH), sodium, sulfates, chlorides, and electrical conductivity (EC) in these high-vulnerability areas, indicating contamination from mineralized aquifers and unsustainable agricultural practices. The findings underscore the RF model’s effectiveness in groundwater prediction and highlight the need for stricter monitoring and management, including regulating groundwater extraction and improving water use efficiency in riverine aquifers. Full article

Estimating energy flows that affect temperature increases inside houses is crucial for optimizing building design and enhancing the comfort of living spaces. In this study, a thermal model has been developed to estimate the internal temperature of rural houses in Mexico using aerial thermography. The methodology used in this study considered three stages: (a) generating a semi-experimental thermal model of heat transfer through roofs for houses with high infiltration, (b) validating the model using contact thermometers in rural community houses, and (c) integrating the developed model using aerial thermography and Python 3.11.4 into user-friendly software. The results demonstrate that the thermal model is effective, as it was tested on two rural house configurations and achieved an error margin of less than 10% when predicting both maximum and minimum temperatures compared to actual measurements. The model consistently estimates the internal house temperatures using aerial thermography by measuring the roof temperatures. Experimental comparisons of internal temperatures in houses with concrete and asbestos roofs and the model’s projections showed deviations of less than 3 °C. The developed software for this purpose relies solely on the fundamental thermal properties of the roofing materials, along with the maximum roof temperature and ambient temperature, making it both efficient and user-friendly for rural community management systems. Additionally, the model identified areas with comfortable temperatures within different sections of a rural community, demonstrating its effectiveness when integrated with aerial thermography. These findings suggest the potential to estimate comfortable temperature ranges in both rural and urban dwellings, while also encouraging the development of public policies aimed at improving rural housing. Full article

The effect of digital finance on the income disparity between urban and rural areas has attracted wide attention from scholars, and this paper focuses on the mediating role of employment structural transformation, which can contribute more insights to address regional development imbalances and achieve common prosperity. Taking panel data of China’s province from 2010 to 2020 as a sample, we use the fixed effect model to integrally test the relationship between the three factors. Our findings indicate that (1) the development of digital finance significantly narrows the urban–rural income gap. The digital finance index increased by 1% and the rural–urban income gap decreased by about 0.34%. The results still hold after considering the endogeneity problem and a series of robustness tests; (2) mechanism analysis shows that digital finance could reduce the urban–rural income gap through the employment structural transformation; and (3) the results of regional heterogeneity show that the reduction effect of digital finance on the urban–rural income gap is stronger in areas with high marketization and in northern regions. Such insights can assist the government in strategically developing rural digital finance, thereby expediting the reduction of regional inequalities and achieving sustainable economic growth. Additionally, the government should focus on guiding rural employment structure transformation to better realize the reduction effect of digital finance on the urban–rural income gap. Full article

This research aimed to apply a risk management methodology to multiple surface water sources in urban and rural areas of a developing country. The applied methodology enabled the identification of hazards, classification, and the prioritization of risks at 21 collection points in the rural area and 9 collection points in the urban area. Both rural and urban areas exhibited common events with a high-risk level, such as human access (100% in urban areas and 90% in rural areas), climatic events, and inadequate collection structures (100% of points in both urban and rural areas). However, rural areas presented specific risks associated with animal husbandry (70% of points with high risk), a lack of monitoring, limited infrastructure (30% of points with high risk), and wildlife, including birds and worms (50% of points with high risk in rural areas and 10% in urban points). On the other hand, urban areas faced challenges related to vandalism and sabotage (high risk in 40% of points). Understanding these similarities and differences permits integrated risk management among the various stakeholders who can contribute to risk management within a watershed. Full article

Modernizing agricultural economies requires the infusion of knowledge and industrialization, necessitating the bridging of the “digital divide” and “talent gap” between urban and rural areas. Public libraries, as key knowledge dissemination institutions, play a crucial role in this process. This study aimed to explore how the development of such institutions can align with agricultural economic growth. Using China as a case study, where the Rural Revitalization Strategy has been implemented in recent years, including the extensive construction of rural public libraries and other infrastructure, we empirically analyzed the correlation between county-level public libraries and agricultural economic development from 2012 to 2019. The results show that the number of county-level public libraries and their assets, collection sizes, e-books, and professional staff have a significant positive impact on agricultural economics, while non-professional staff and facilities have a negative impact. It is recommended that future rural public library development should focus on enhancing professional standards and advancing digitalization and mobile internet integration, while being cautious about expanding the physical scale and staffing. This study fills a gap in the research on the correlation between rural public libraries and agricultural economics, and the methodology employed has a certain degree of general applicability. However, the applicability of the conclusions may be limited by China’s unique national conditions. Full article

Against the backdrop of urban–rural integration development in China, the government has further strengthened its support for rural migrant workers’ urban employment and entrepreneurship, as well as their urbanization. Nevertheless, influenced by the current urban–rural development environment and public policies, a portion of rural migrant workers have evolved into two distinct groups: those with clear intentions to settle in cities or return to their hometowns and those trapped in a “neither-nor” situation, who are unable to fully integrate into urban life or seamlessly return to the countryside. This study, based on field investigations conducted in 21 cities across seven major geographical regions in China, reveals a ternary differentiation in migration intentions among rural migrant workers: “Retain in the cities”, “Return flow”, and “Blind direction”. In advancing the urban–rural integration strategy, the “clearly-oriented” groups, choosing to stay or return, can serve as dynamic forces in reconciling resources between urban and rural areas, thereby fostering closer urban–rural ties. Conversely, the “aimless wandering” group, characterized by stagnation, confusion, frequent mobility, and recurrent unemployment, poses numerous negative impacts on urban–rural interaction and coordination, hindering the in-depth integration of urban and rural areas to some extent. Drawing upon the internationally recognized Push-Pull Theory and Social Integration Theory within the field of population migration, this study conducts an empirical analysis of large-scale sample data to explore the characteristic factors and formation mechanisms underlying the “staying”, “returning”, and “blind direction” intentions, with a particular focus on the internal dynamics shaping and evolving the “aimless wandering” group. Finally, grounded in the empirical findings, this study advocates a collaborative approach between the Chinese government and various sectors of society to address the issue by promoting employment guidance, enhancing security measures, and other initiatives that encourage rural migrant workers to either stay in cities or return to their hometowns. It aims to provide policy recommendations for a definitive resolution of the rural migrant worker issue during the crucial period of urban–rural integration development. Full article

With the rapid development of the world economy, pollution of urban and rural ecological environments and the decline in anti-risk capabilities are becoming more serious. In order to promote sustainable improvement of urban and rural ecological resilience, based on previous independent research on urban and rural resilience, this paper combines the two to carry out collaborative development research. The dynamic evolution and driving force heterogeneity in the coordinated development level of urban and rural ecological resilience in Yunnan Province in China from 2013 to 2022 were studied using the coordination degree model of composite system and geographical detector. The results show the following: (1) The urban and rural ecological resilience levels in Yunnan Province increased annually, but urban ecological resilience (0.178) lagged behind that of rural areas (0.376). Compared to rural areas, the overall spatial difference in urban ecological resilience level is significant. (2) The overall level of urban–rural ecological resilience synergy in Yunnan Province has been increasing annually, from “no synergy” to “primary synergy”. However, there are great differences between prefectures and cities. (3) The combination of urban and rural driving factors is more conducive to improving urban–rural ecological resilience. The interaction between the per capita water supply and fertilizer consumption is the primary and critical driving factor. In the future, we will continue to take the coordinated development of urban and rural ecological resilience as the theme, further expand the research field, and carry out future development trend prediction research. This study provides new ideas for the construction of ecological resilience in similar countries and regions worldwide. Full article

Assuming that settlement morphologies and landscape structures are the result of economic transformations, the present study illustrates a statistical framework investigating metropolitan growth due to the inherent changes in landscape configurations vis à vis socio-demographic functions. Focusing on the evolution of their spatial drivers over time, metropolitan development was studied by adopting land parcels (or ‘patches’, as they are referred to in the ecological literature) as the elementary analysis unit—with the individual surface area and a specific shape indicator as the dependent variables and background socioeconomic attributes as predictors of landscape change over time. We specifically ran a Multiscale Geographically Weighted Regression (MGWR) testing the spatial dependence of the size and shape of landscape parcels on a vast ensemble of socioeconomic factors in a dense region (metropolitan Athens, Greece) with natural landscapes exposed to increasing human pressure. To investigate the spatial direction and intensity of the settlement expansion and landscape change, local regressions using the parcel area and fractal index (perimeter-to-area ratio) as the dependent variables and the elevation, distance from selected economic nodes, transport infrastructures, and natural amenities as the predictors were run separately for 1990 and 2018, representative of, respectively, a mono-centric configuration and a moderately polycentric organization of economic spaces. In a strictly mono-centric setting (1990), the parcel size showed a linear dependence on the distance from business districts, elevation, and wealth. Changes in the relationship between the parcel size and spatial (economic and non-economic) drivers may suggest a latent process of settlement de-concentration, and a possible shift toward polycentric development (2018), as documented in earlier studies. By integrating socioeconomic and ecological dimensions of landscape analysis and land evaluation, the empirical results of this study outline the increased complexity of dispersed landscape structures within dense metropolitan regions and along urban–rural gradients in Europe. Full article

Many traditional villages have been degraded to a certain extent due to urbanization and out-of-control management. In addition, due to the lack of recognition and continuation of spatial texture in some village conservation and planning that, in turn, resulting in the gradual disappearance of their distinctive landscape feature. Studying the spatial form of traditional villages helps preserve the authenticity of traditional villages as cultural landscape and inherits traditional historical characteristics. Using Puping Village in Zhangzhou City, Fujian Province as an example, this paper obtains the integrated information data of the village through UAV oblique photography, classifies and extracts the spatial constitution of the traditional village using digital technology, quantitatively analyses it from macroscopic to microscopic, and summarizes the spatial morphology analysis method of the traditional village. The results demonstrate that digital technology can effectively and accurately complete data collection and can provide an objective basis for zoning conservation of traditional villages based on the distinction between new and historic buildings. In addition, digital information collection on the traditional villages landscape features will prepare for the establishment of a database and comparative analysis in the future. We further suggest that digital technology analysis needs to be combined with traditional methods to have a deeper understanding of the formation process of village spatial morphology. The results of the practice in Puping Village show that the use of digital technology can provide a scientific basis for the protection and planning of traditional villages, and that this method is adaptable, which can help to efficiently collect and analyze data on landscape characteristics of other similar villages in China, and support innovative methodologies and technologies for China’s rural revitalization efforts. Full article

The revitalization of idle homesteads is an essential element in stimulating rural land resources and assets and promoting the integrated development of urban and rural areas. However, existing studies have paid less attention to the relationship between the differentiation of farm households and revitalization intention. Therefore, exploring the relationship between farmer differentiation and revitalization intention has become the key to improving the revitalization intention. The differentiation of farmers in the process of urbanization is an important factor affecting the intention of farmers to revitalize idle homesteads. This study defines “farmer differentiation” as a second-order factor and is based on the theoretical analysis framework of “farmer differentiation (FD)–farmer cognition (FC)–revitalization intention (RI)” to systematically reveal the relationship between FD and RI with a multi-dimensional perspective. At the same time, we analyze the mediating role of FC in the relationship between FD and RI. The data collected from 881 Shaanxi, China, farmers are analyzed through structural equation modeling (SEM). The results of the study show that (1) The dimensions of farmer differentiation (FD) are wealth capital differentiation (WCD) and reputation capital differentiation (RCD). (2) The formation of farmers’ intention to revitalize follows the logical relationship of “FC–RI” in the Extended Theory of Planned Behavior (ETPB), and subjective norms (SN) are the critical factor. (3) The logical relationship of “FD–FC–RI” in the ETPB has been confirmed. In addition to the direct positive effect of the WCD and RCD on farmers’ intention to revitalize idle homesteads, WCD will indirectly affect RI through the four sub-dimensions of behavioral attitudes (BA), subjective norms (SN), perceived behavioral control (PBC) and homestead dependence (HD) under the FC conception. Meanwhile, the chain mediating role of the WCD and FC sub-dimensions in the RCD effect on the intention to revitalize cannot be ignored. Therefore, to increase farmers’ intention to revitalize Idle homesteads, policymakers need to focus on increasing WCD and RCD and helping farmers establish proactive FC. Full article

Traditional Chinese villages, recognized as national heritage sites, are invaluable cultural assets. Since 2012, efforts have focused on their preservation, though issues remain such as prioritizing authenticity over usability and material over cultural elements. This paper adopts the Historic Urban Landscape (HUL) approach, emphasizing the integration of physical heritage with daily life to shift value assessment. The fundamental argument of this paper is that the HUL method can serve as a new tool for preserving the historical heritage and landscape of rural areas, particularly in the context of assessing and formulating preservation frameworks for traditional Chinese villages. Through the case study of Tangfang village’s new conservation plan, the research demonstrates that the value of traditional villages lies in the continuous interaction between daily activities and physical space, including landscape, functional, and spiritual dimensions. The study concludes that a preservation framework based on local residents’ daily lives ensures more effective heritage conservation and landscape preservation by addressing both material and human values. Full article