Search Results (19)

International tourism plays an important role in the global service economy, contributing to trade, employment, and regional development. For this reason, identifying the factors that influence tourist flows is an important issue for tourism policy, market strategy, and infrastructure planning. A large body of research has applied gravity models to analyze tourism flows between countries. While this approach provides a clear economic interpretation, it is usually based on linear specifications and may therefore capture only part of the relationships present in tourism data. This study examines the economic and geographic determinants of international tourism flows to Mongolia using a framework that combines a traditional gravity model with machine learning techniques. Mongolia serves as an instructive empirical setting, a landlocked, geographically peripheral destination whose inbound demand determinants have received limited systematic empirical attention. The analysis uses panel data for 27 origin countries covering the period from 2000 to 2024. In the first stage, a gravity model is estimated to assess how tourism flows relate to economic size and geographic distance. The results show that tourism flows tend to increase with the economic size of origin and destination countries, while greater geographical distance is associated with lower tourism flows. The estimated distance elasticity ranges from approximately −1.85 to −2.10 across model specifications, which is larger in absolute terms than the values typically reported in cross-country studies. This result is consistent with the relatively high travel cost barriers associated with Mongolia’s geographic location. These findings are consistent with the distance decay relationship commonly reported in the tourism literature. In the second stage, machine learning algorithms, including Random Forest, LightGBM, and XGBoost, are used as complementary interpretive instruments rather than forecasting tools to explore possible nonlinear relationships among the explanatory variables. To make the results more interpretable, the contribution of individual variables is examined using SHAP (Shapley Additive Explanations). The machine learning results indicate that some relationships in tourism demand may be nonlinear and not fully captured by the linear gravity specification. Specifically, distance sensitivity is approximately 6.5 times greater in nearby markets than in long-haul markets, with a structural inflexion at around 5700 km. Further analysis suggests that the influence of geographical distance is not uniform across all markets. In particular, tourism flows originating from middle-income countries appear to be more sensitive to increases in travel distance than those from higher-income countries. Overall, the findings indicate that economic size and geographical distance remain key determinants of international tourism flows to Mongolia. At the same time, the use of machine learning methods provides additional insight into potential nonlinear patterns in tourism demand. By combining econometric modelling with explainable machine learning techniques, the study offers an integrated analytical perspective for examining international tourism flows at geographically peripheral destinations where standard gravity assumptions may be insufficient. Full article

The accelerated decarbonization agenda of the European Union, supported by the European Green Deal, the Fit for 55 package, and REPowerEU, increases pressure on member states to reduce dependence on fossil fuels and expand renewable generation. Poland, whose power sector remains strongly coal-dependent, faces one of the most challenging and capital-intensive transition pathways in the EU. This study provides a comprehensive assessment of the costs and economic viability of Poland’s energy transition, focusing on the feasibility of replacing coal-based electricity generation with renewable technologies. The analysis applies three financial evaluation methods: net present value (NPV), internal rate of return (IRR), and levelized cost of electricity (LCOE). These tools are used to estimate investment costs of selected renewable technologies, assess the potential for coal substitution in the energy mix, and determine the profitability of renewable projects under selected scenarios. The results show that onshore wind power demonstrates the most favorable investment parameters, including the lowest LCOE and the shortest payback period, while photovoltaics exhibit lower profitability in the analyzed conditions. Nuclear energy may serve as a complementary stable source to variable renewables. The findings provide evidence-based insights supporting national energy planning and the design of future policy instruments. Full article

Plastic packaging represents a critical focus in the European Union’s transition to a circular economy owing to its resource-intensive production and substantial greenhouse gas emissions. This article examines Poland’s implementation of plastic packaging regulations within the evolving European Union regulatory framework, alongside complementary policy instruments. It employs legal-normative analysis of European Union and Polish legislation, documentary review of national strategic frameworks, and statistical assessment of packaging generation and recycling performance. Poland has introduced substantial legislative measures, including carrier-bag fees, charges on single-use plastic products, recycled-content mandates for polyethylene terephthalate bottles, and a deposit-return system launched in October 2025. Moreover, national voluntary agreements created by non-governmental organisations and industry stakeholders to improve collection and sorting have been active on the Polish market. Nevertheless, performance indicators reveal significant gaps between regulatory ambitions and operational outcomes. To diagnose these implementation gaps and prioritise the most critical interventions, the article applies a governance-oriented MoSCoW analysis. The article concludes that while the deposit-return system constitutes an essential intervention, achieving European Union circular economy objectives requires comprehensive policy integration encompassing upstream prevention, eco-design standards, extended producer responsibility mechanisms, and coherent strategic planning. An effective regulatory system, sound management practices, and improved information sharing among stakeholders are crucial for promoting eco-innovation and advancing circularity, reuse, and waste reduction. Full article

Sustainable development is a central objective of contemporary spatial planning; however, empirical evidence on how sustainability principles are implemented through municipal planning instruments remains limited. This study examines how sustainable development is embedded in Municipal Spatial Plans (MSPs) and reflected in spatial development practice in four Slovenian municipalities—Gornja Radgona, Hrastnik, Kostanjevica na Krki, and Lenart. A qualitative, indicator-based comparative framework was applied, structured around five thematic areas, twelve sub-themes, and thirty-one indicators. The analysis triangulated statutory planning documents, ten-year official statistical data, and five-year municipal investment reports, deliberately avoiding composite indices to prevent false precision in cross-municipal comparison. The results show that all MSPs formally incorporate sustainability as a guiding principle; however, significant differences emerge in how concretely these principles are translated into spatial provisions, investments, and observed development trends. Lenart demonstrates the strongest alignment between planning objectives and implementation, while Hrastnik and Gornja Radgona exhibit persistent gaps related to demographic decline and mobility patterns. Kostanjevica na Krki illustrates a protection-oriented sustainability approach shaped by flood risk and constraints relating to cultural heritage. The study concludes that MSPs primarily function as strategic and coordinating instruments, while effective implementation of sustainable development depends on complementary governance arrangements, investment alignment, and monitoring mechanisms beyond statutory spatial planning. The findings provide transferable insights for municipalities facing similar sustainability challenges. Full article

Background/Objectives: Patients’ reports on their satisfaction with the care received often have been seen as a key quality indicator of hospital performance. However, the potential effect of different approaches to its measurement has not been adequately assessed in the health care setting. This study therefore aimed to methodologically compare two different response formats in patient satisfaction questionnaires—Likert scales and Item-Specific Response Options (ISRO)—within a Greek public hospital context. The aim was to comparatively explore resulting item- and scale-level score values, ceiling effects, acquiescence bias, and psychometric properties, including reliability and validity. Methods: An overall sample of 400 hospitalized patients at a National Health Service general university hospital was randomly assigned to two groups during February–March 2025. One group completed a Likert-scale questionnaire and the other a questionnaire, with the same content, that employed an ISRO format instead. The questionnaire items covered two aspects of the hospital experience, these being the satisfaction with doctors/nurses as well as the organization and planning of care. Statistical analysis involved Kolmogorov–Smirnov tests for normality, descriptive statistics, chi-square and Fisher’s exact test, t-tests, Mann–Whitney tests, ceiling effects, regressions, Cronbach’s alpha coefficients, and confirmatory factor analysis (CFA), with measures of composite reliability and average variance extracted and model fit indices. Results: Our analysis identified differences in the distributions of patient responses for many items, including variations in median values and the proportion of positive answers. ISRO items tended to produce higher ratings for nursing care and overall satisfaction, whereas Likert items yielded higher scores in organizational aspects. However, the magnitude of these differences was generally small. Regression analysis, adjusting for length of stay, confirmed statistically significant but modest differences in scale scores between formats. Neither format was superior in terms of ceiling effects, whereas no consistent evidence of acquiescence bias was found. Psychometric testing showed that Likert scales had somewhat higher internal consistency reliability and convergent validity, while ISRO exhibited a better model fit in CFA. Conclusions: The item response format seems to affect reported satisfaction scores, yet the impact is rather limited in practical terms for decision-making. Since neither format is consistently superior, the choice between them should depend on study aims, respondent burden, and the intended use of satisfaction scores by policy makers. Moreover, concerns about acquiescence bias may have been overstated in the health care context. Future research should extend these comparisons with other instruments and larger and more diverse samples, as well as employ complementary methods to clarify how response format affects patient satisfaction measurement. Full article

This article formalizes AI-assisted assessment as a discrete-time policy-level design for iterative feedback and evaluates it in a digitally transformed higher-education setting. We integrate an agentic retrieval-augmented generation (RAG) feedback engine—operationalized through planning (rubric-aligned task decomposition), tool use beyond retrieval (tests, static/dynamic analyzers, rubric checker), and self-critique (checklist-based verification)—into a six-iteration dynamic evaluation cycle. Learning trajectories are modeled with three complementary formulations: (i) an interpretable update rule with explicit parameters $\eta$ and $\lambda$ that links next-step gains to feedback quality and the gap-to-target and yields iteration-complexity and stability conditions; (ii) a logistic-convergence model capturing diminishing returns near ceiling; and (iii) a relative-gain regression quantifying the marginal effect of feedback quality on the fraction of the gap closed per iteration. In a Concurrent Programming course ($n=35$), the cohort mean increased from 58.4 to 91.2 (0–100), while dispersion decreased from 9.7 to 5.8 across six iterations; a Greenhouse–Geisser corrected repeated-measures ANOVA indicated significant within-student change. Parameter estimates show that higher-quality, evidence-grounded feedback is associated with larger next-step gains and faster convergence. Beyond performance, we engage the broader pedagogical question of what to value and how to assess in AI-rich settings: we elevate process and provenance—planning artifacts, tool-usage traces, test outcomes, and evidence citations—to first-class assessment signals, and outline defensible formats (trace-based walkthroughs and oral/code defenses) that our controller can instrument. We position this as a design model for feedback policy, complementary to state-estimation approaches such as knowledge tracing. We discuss implications for instrumentation, equity-aware metrics, reproducibility, and epistemically aligned rubrics. Limitations include the observational, single-course design; future work should test causal variants (e.g., stepped-wedge trials) and cross-domain generalization. Full article

With a view to improve measurements, this paper presents a statistical approach for characterizing the behaviour of roughness parameters based on measurements performed on ground surface topographies (grit #080/#120). A S neox^TM (Sensofar^®, Terrassa, Spain), equipped with three optical instrument modes (Focus Variation (FV), Coherence Scanning Interferometry (CSI), and Confocal Microscopy (CM)), is used according to a specific measurement plan, called Morphomeca Monitoring, including topography representativeness and several time-based measurements. Previously applied to the Sa parameter, the statistical approach based here solely on the Quality Index (QI) has now been extended to a multi-parameter approach. Firstly, the study focuses on detecting and explaining parameter disturbances in raw data by identifying and quantifying outliers of the parameter’s values, as a new first indicator. This allows us to draw parallels between these outliers and the surface topography, providing reflection tracks. Secondly, the statistical approach is applied to highlight disturbed parameters concerning the instrument mode used and the concerned grit level with two other indicators computed from QI, named homogeneity and number of modes. The applied method shows that a cleaning of the data containing the parameters values is necessary to remove outlier values, and a set of roughness parameters could be determined according to the assessment of the indicators. The final aim is to provide a set of parameters which best describe the measurement conditions based on monitoring data, statistical indexes, and surface topographies. It is shown that the parameters Sal, Sz and Sci are the most reliable roughness parameters, unlike Sdq and S5p, which appear as the most unstable parameters. More globally, the volume roughness parameters appear as the most stable, differing from the form parameters. This investigated point of view offers thus a complementary framework for improving measurement processes. In addition, this method aims to provide a global and more generalizable alternative than traditional methods of uncertainty calculation, based on a thorough analysis of multi-parameter and statistical indexes. Full article

Our study aimed to analyse socio-economic sustainability and the drivers of land abandonment in the Kras region of Slovenia, a representative eastern Mediterranean farmland area. We also sought to provide policy recommendations for supporting biodiversity conservation and facilitating the sustainable transition of similar High Nature Value (HNV) farming systems across Europe. The Slovenian Typical Farm Model (SiTFarm) was used to assess the economic performance of representative livestock and wine-growing farm types. Additionally, in-depth interviews with farmers were conducted to understand their perspectives on these farming systems and their preferences for alternative management strategies and policy instruments. Our findings indicate that, due to the introduction of basic income support for sustainability and complementary voluntary coupled payments, budgetary support for the livestock sector in the region is projected to increase by 27–55% in estimated gross margins during the 2023–2027 Common Agricultural Policy (CAP) period, depending on the farm type. Furthermore, farms can enhance their economic performance by converting to organic farming and enrolling in agri-environmental schemes that promote extensive grasslands management, which is crucial for biodiversity conservation. This suggests that Slovenia’s current CAP strategic plan adequately addresses the maintenance of the existing farming systems. However, the region faces significant challenges, particularly in restructuring small farms and adding value to primary farm products. These issues appear to be insufficiently addressed by the current CAP strategic plan, implying that limited progress is expected in mitigating land abandonment in the long term. Comprehensive strategies for the development of feasible HNV farming systems, aligned with biodiversity conservation recommendations, and a well-managed system of supporting institutions and policy instruments is needed to facilitate more market-oriented and sustainable development of agriculture at the local level. Full article

The contribution of sustainable public administration to the promotion of sustainable development is increasingly emphasized in the literature, including through an emerging and facilitating concept: collaborative administration. The sustainability of public organizations and of the public interventions carried out by these organizations is a central pillar of a modern administrative model, the desideratum of any government agenda. For this reason, the aim of this paper is to contribute to a more nuanced view on the relationship of sustainable development–institutional sustainability–collaborative dimension, covering some gaps that prevail in the literature by contextualizing the theoretical hypotheses in a case study. The novelty and added value of the research lies in establishing links between these three concepts by referring to a fourth concept: organizational intelligence. The study uses theoretical instruments, such as a questionnaire based on the design model proposed by Lefter et al., for the indirect assessment of the collaborative dimension. The outcomes demonstrate that the collaborative dimension of a public organization can be quantified using the proposed model. Moreover, organizational plans that promote the sustainability of public administration and sustainable development are identified. However, additional complementary studies are required to further investigate the cause-and-effect relationship between sustainable development, institutional sustainability, and collaborative dimensions. Full article

Athena (advanced telescope for high-energy astrophysics) is an ESA large-class mission, at present under a re-definition “design-to-cost” phase, planned for a prospective launch at L1 orbit in the second half of the 2030s. It will be an observatory alternatively focusing on two complementary instruments: the X-IFU (X-ray Integral Field Unit), a TES (TransitionEdge Sensor)-based kilo-pixel array which is able to perform simultaneous high-grade energy spectroscopy (~3 eV@7 keV) and imaging over 4′ FoV (field of view), and the WFI (Wide Field Imager), which has good energy spectral resolution (~170 eV@7 keV) and imaging on wide 40′ × 40′ FoV. Athena will be a truly transformational observatory, operating in conjunction with other large observatories across the electromagnetic spectrum available in the 2030s like ALMA, ELT, JWST, SKA, CTA, etc., and in multi-messenger synergies with facilities like LIGO A+, Advanced Virgo+, LISA, IceCube and KM3NeT. The Italian team is involved in both instruments. It has the co-PIship of the cryogenic instrument for which it has to deliver the TES-based Cryogenic AntiCoincidence detector (CryoAC) necessary to guarantee the X-IFU sensitivity, degraded by a primary particle background of both solar and galactic cosmic ray (GCR) origins, and by secondary electrons produced by primaries interacting with the materials surrounding the main detector. The outcome of Geant4 studies shows the necessity for adopting both active and passive techniques to guarantee the residual particle background at 5 × 10⁻³ cts cm⁻² s⁻¹ keV⁻¹ level in 2–10 keV scientific bandwidth. The CryoAC is a four-pixel detector made of Si-suspended absorbers sensed by Ir/Au TESes placed at <1 mm below the main detector. After a brief overview of the Athena mission, we will report on the particle background reduction techniques highlighting the impact of the Geant4 simulation on the X-IFU focal plane assembly design, then hold a broader discussion on the CryoAC program in terms of detection chain system requirements, test, design concept against trade-off studies and programmatic. Full article

Vestibular dysfunction is a disturbance of the body’s balance system. The control of balance and gait has a particular influence on the quality of life. Currently, assessing patients with these problems is mainly subjective. New assessment options using wearables may provide complementary and more objective information. Posturography makes it possible to determine the extent and type of posture dysfunction, which makes it possible to plan and monitor the effectiveness of physical rehabilitation therapy. This study evaluates the effectiveness of non-instrumental clinical tests and the instrumental mobile posturography MediPost device for patients with unilateral vestibular disorders. The study group included 40 patients. A subjective description of the symptoms was evaluated using a questionnaire about the intensity of dizziness using the Dizziness Handicap Inventory (DHI) and Vertigo Syndrome Scale—short form (VSS-sf). The clinical protocol contained clinical tests and MediPost measurements using a Modified Clinical Test of Sensory Interaction on Balance. All patients underwent vestibular rehabilitation therapy (VRT) for four weeks. The non-instrumental measurement results were statistically significant, and the best was in the Timed Up and Go test (TUG). In MediPost, condition 4 was the most valuable. This research demonstrated the possibilities of using an instrumental test (MediPost) as an alternative method to assess balance. Full article

The main idea of this article is to identify the benefits of the full vehicle substitution process for a fully sustainable Urban Freight Transport (UFT) in economic, social, and environmental terms, based on the application of the experimental method. The scientific assumption was made that Electric Delivery Vehicles (EFV) can be complementary in the first stage, and only in the next stage, substitutable to the traditional diesel-powered fleet servicing transport (courier) tasks within the delivery limits in the Szczecin Agglomeration. To assess the level of substitutability, observational instruments were used, while ensuring an active modification of the studied phenomenon (introduction to the operation of selected routes of electric vehicles). The focus was on three key elements, the environment, rules, and regularities. The article presents the architecture of such experiments regarding 22 selected routes, which allowed for the calculation of selected performance indicators for ex-ante evaluation in planning delivery scenarios. The results were verified using a simulation-based approach in the Szczecin Metropolitan Area. As a result, it made it possible to find answers to the research questions posed, in particular: is it possible to fully replace combustion-engine vans with electric ones, and what integrated benefits can be identified, and their systematics has been illustrated in the proposed proprietary model “Electromobility Octagon Profit”. Future research could extend the theoretical knowledge by further exploring the development processes for the use of electric vehicles in the urban freight transport system and by adding insights from other contexts, stakeholders, and theoretical areas. Full article

Climate change and its challenges have long been incorporated into the policy-making process. Advocacy actions urge to strengthen the socio-ecological resilience through engagement with stakeholders, feedback recollection, and testing of solutions. Several initiatives have been born to boost cities’ actions toward climate change mitigation and adaptation. Institutional coordinated actions such as transnational municipal networks (TMNs) and non-institutional, grassroots movements for climate action, are among them. The study focuses on four TMNs and two grassroots movements, which have an impact on the European and/or worldwide contexts. They are investigated qualitatively, reflecting on the roles and contributions to climate change that they provide both alone and together. The research questions focus on the instruments/elements/factors that they put in place to support the transition, the key messages, and how these are conferred to their key targets. The initiatives have been investigated in both the grey and scientific literature. The main results show that grassroots movements for climate action and TMNs have the potential to better support cities in their climate transition. However, local governments are urged to take advantage of both initiatives’ ability to develop networks of support, innovation and a sense of belonging. In conclusion, the research states that the two initiatives should be effectively connected and integrated with a complementary role concerning planning actions. Full article

Assessing the relentless expansion of built-up areas is one of the most important tasks for achieving sustainable planning and supporting decision-making on the regional and local level. In this context, techniques based on remote sensing can play a crucial role in monitoring the fast rhythm of urban growth, allowing the regular appraisal of territorial dynamics. The main aim of the study is to evaluate, in a multi-scalar perspective, the built-up area expansion and the spatio–temporal changes in Ilfov County, which overlaps the surroundings of Bucharest, capital of Romania. Our research focuses on processing multi-date Landsat satellite imagery from three selected time references (2000, 2008, 2018) through the supervised classification process. Further on, the types of built-up area dynamics are explored using LDTtool, a landscape metrics instrument. The results reveal massive territorial restructuring in the 18 years, as the new built-up developments occupy a larger area than the settlements’ surface in 2000. The rhythm of the transformations also changed over time, denoting a significant acceleration after 2008, when 75% of the new development occurred. At the regional level, the spatial pattern has become more and more complex, in a patchwork of spatial arrangements characterized by the proliferation of low density areas interspersed with clusters of high density developments and undeveloped land. At the local level, a comparative assessment of the administrative territorial units’ pathway was conducted based on the annual growth of built-up areas, highlighting the most attractive places and the main territorial directions of development. In terms of the specific dynamics of built-up areas, the main change patterns are “F—NP increment by gain”, followed by “G—Aggregation by gain”, both comprising around 80% of the total number of cells. The first type was prevalent in the first period (2000–2008), while the second is identified only after 2008, when it became the most represented, followed in the hierarchy by the previously dominant category. The spatial pattern differentiations were further explored in three complementary case studies investigated in correlation with socioeconomic data, revealing a heterogeneous landscape. Full article

The present work contains an evaluation of the accessibility of museums in the city of Seville, as part of the tourism offerings of the city from a cultural perspective. From an evaluation questionnaire on the city’s museums, we obtained an aggregate indicator of compliance with accessibility regulations. The instrument was designed based on the legal requirements in force at the EU (European Union) level, as well as international standards such as ISO 170001 and accessibility conventions such as those from the United Nations Organization (UN). In a complementary manner, a questionnaire with open and semi open questions was designed and used for interviews carried out with the personnel responsible for the museums examined. A variety of quantitative and qualitative information of great value was obtained for setting guidelines or priorities for action in this area. At the level of the political powers and other interest groups involved, our results allow for homogeneous evaluations that can facilitate the setting of priorities in the planning and development of tourism accessibility policies for all types of families. Full article