Journals Published by Vilnius Tech
Not a member yet
12596 research outputs found
Sort by
AI framework for automated terminal aerodrome forecasting
Get PDFAccurate Terminal Aerodrome Forecasts (TAFs) are essential for aviation safety and operational efficiency worldwide. This study develops an AI framework for automated TAF generation, including data preprocessing, model development, and evaluation. Using GFS and ECMWF datasets from 2020–2023 and real TAF forecasts from Brno International Airport the study explores the effectiveness of ML approaches for wind speed and visibility prediction. Principal Component Analysis (PCA) efficiently reduced dimensionality for wind speed predictors but proved less effective for visibility, highlighting its complex nature. Feature importance analysis identified initial observations and seasonal patterns as dominant predictors, underscoring the influence of data quality. Regression models for wind speed met ICAO standards. While Gradient Boosting (GB) classification outperformed human forecasts in raw accuracy, it suffered from poor probability calibration due to dataset imbalance. A critical evaluation of accuracy metrics – such as log-loss and F1-score – revealed their advantages and limitations, particularly in handling imbalanced datasets and probabilistic forecasting. Beyond its empirical findings, the study provides a theoretical foundation for integrating machine learning (ML) into TAF generation, discussing methodological considerations and the interaction between model performance and forecast interpretability. Future research is recommended to focus on the local models, explore advanced models, and expand the framework to diverse climatic conditions
Refreshing the design of a regional economic growth model in the context of the new digital decade
Get PDFThe digital economy is a significant objective of future development of the European space and is included alongside other strategic objectives in the 2030 and 2050 Agenda of the European Union. According to the European Union’s Digital Economy and Society Index (DESI), the Nordic countries (Finland, Denmark, the Netherlands, and Sweden) are the top performers of the European Union. In the same time, Romania ranks last in the 2022 ranking. Current research analyses the four areas of the digital economy (human capital, digital technology integration, connectivity, and digital public services) in a mix that is correlated with regional indicators of sustainable development to design a regional model of digital economy growth. The methods of study include restructuring the DESI rankings and regional reclassification based on the criteria of correlative ranking of digital economy indicators in correlation with sustainable development indicators and the design of structural equations. The study results will form the basis of a public policy proposal to accelerate digital development for disadvantaged European regions.
First published online 24 September 202
University students’ perspectives on creativity in learning in the 21st century
Get PDFThe importance of students’ creativity in tertiary institutions lies in the need to prepare young people for the 21st century. On the other hand, higher education is generally unfamiliar with creativity environments, so it will hinder their learning creativity outcomes and experiences, which will impact their creativity cognition and knowledge. The research goals are to calculate the percentages of university students’ perspectives on the importance of their learning creativity outcomes and experiences and to test the influence of each variable. All respondents are 586, with an age range of 19–24 years. The author created learning creativity instruments. The results showed that there are twelve outcomes and eleven experiences of learning creativity that are important to university students. Less than 50% of university students get learning creativity experiences on campus four or more times a week and/or for more than three hours a day. There is a positive and significant influence between the importance of learning creativity outcomes and experiences as well as the frequency and duration of those experiences. For achieving twelve learning creativity outcomes, tertiary institutions must ensure the implementation of experiences learning creativity experiences, as well as the adequacy of the frequency and duration of those experiences
Testing multi-GNSS (GPS/GLONASS/Galileo/BeiDou/IRNSS) and wide-lane performance for long baselines
Get PDFWith the rapid development of multi-constellation global navigation satellite systems (GNSS), the world of satellite navigation has undergone tremendous changes. Once all six systems (IRNSS, BeiDou, QZSS, Galileo, GLONASS, and GPS) are deployed in the next few years, approximately 150 satellites will be available, which will bring huge opportunities and challenges to science and engineering applications. This paper describes an experiment conducted with the static method for the Multi-GNSS about achievable accuracy especially for the long baselines (Wide Lane ambiguity solution). The obtained results indicate that integrating GPS systems with Galileo, GLONASS, BeiDou, QZSS and IRNSS are favoured for surveying applications. It appears that through the integration of GPS/GLONASS/Galileo/BeiDou/QZSS/IRNSS static measurements in the study area, millimetre-centimetre accuracy may be guaranteed on for long baselines by using Wide Lane (WL)
Dynamic effect of sports parks on housing prices: Evidence from Hangzhou Asian Games Park
Get PDFThe construction of sports parks often involves significant investment and extended development timelines, making it crucial to evaluate their economic impacts for informed policymaking and strategic urban planning. While research on the externalities of urban parks has grown, the specific economic effects of sports parks remain underexplored. This study examines the impact of the Hangzhou Asian Games Park on housing prices using 31,329 transaction records from 2018 to 2023. Employing a hedonic pricing model and a difference-in-differences approach, we find that housing prices increase by 1.6% for every 1 km reduction in distance to the park. Spatial heterogeneity is observable, as the effect diminishes with increasing distance. Temporally, the park’s planning announcement triggered a 0.7% increase in price-distance elasticity, compared to a 0.2% increase after its opening. These findings suggest that the anticipatory market response was stronger than the realized benefits after the park’s completion. This study quantifies the spatial and temporal dynamics of the economic value of sports parks, providing valuable insights for urban planning, public policy, and investment strategies
Tokenization and the future of property investment: A new paradigm for real estate
Get PDFTokenization has improved liquidity, access to markets and ownership models for real estate investments. This research aims to analyze applications, enablers and challenges of tokenization by conducting a systematic literature review of 75 peer-reviewed journal articles that discuss real estate tokenization using the Technology-Organization-Environment (TOE) framework. The findings show that tokenization allows more efficient markets with automation, transparency, and liquidity; new investment methods in real estate, such as crowdfunding and fractional ownership; and reductions of any limits of traditional real estate through the reduction of costs, faster transactions, and higher investor engagement. Nevertheless, there are still barriers to real estate tokenization including technological risks, regulatory fragmentation, and the reluctance of organizations towards decentralized asset structures. These are supported by the literature review findings. These barriers highlight the necessity of investor education, technology standardization, and regulatory harmonization with the aim of promoting wider adoption. This paper lays the groundwork for future research into risk management, scalability, and institutional integration of real estate tokenization by highlighting important gaps in existing literature and consolidating previous studies. Ultimately, even though tokenization has a lot of potential to change the real estate market, its long-term success depends on the development of accurate legal frameworks and the seamless incorporation of tokenized assets into conventionnel financial systems
The (re)making of a city centre: Jan Gehl and the transformation of Melbourne CBD
Get PDFJan Gehl, an eminent Danish Architect and Urban Designer, has worked in more than forty cities around the world and contributed to revitalising their city centres. Although his work in Australia has drawn considerable attention in recent years, not much is known about his early and exemplary work on revitalising the city centre in Melbourne. This paper explores Gehl’s urban design work in Melbourne by examining his engagement with the City of Melbourne after being invited to lead the ‘Places for People’ initiative in 1993. Gehl’s main contributions during his collaboration with the council include developing the methodology for the Public Space Public Life surveys and co-authoring of the Places for People study reports. Gehl made several key recommendations in the reports that turned out to be instrumental in formulating urban design approaches to help transform the Melbourne CBD into a vibrant city centre. This transformation, which led to the revival of the public realm, is evident in several significant changes made to some major public spaces between 1994 and 2004 and beyond. This paper contributes to the urban design discipline by adding new knowledge of Gehl’s work in Melbourne and widening its recognition in Australia and internationally
The impact of public debt on economic growth: determining of factors and their interactions
Get PDFThis article suggests that the expenditure multiplier and the interactions among its key components can help explain whether increasing public debt encourages or inhibits economic growth. As per the theoretical underpinnings of the effect of debt on growth, its influence is observable in regard to private consumption, import and investment. The size of the expenditure multiplier depends on factors like the tax rate and the marginal propensities to consume, import, and invest – each influencing the multiplier differently. Specifically, the effect is positive in relation to marginal propensities to consume and invest and negative in relation to the tax rate and marginal propensity to import. Our findings show that in countries with relatively lower government effectiveness, debt has a greater impact on growth, mainly due to higher tax rates rather than high import levels. Conversely, in countries with higher government effectiveness, the influence of debt on growth remains similar regardless of tax rates, if the propensity to import is low. In cases where the public sector dominates the economy, the impact of debt on economic growth is determined by factors other than the multiplier effect.
Analysis of the relationship between ESG and labor costs: the moderating effect of the legal tradition
Get PDFThis study examines the relationship between Environmental, Social, and Governance (ESG) scores and labor costs per employee (LCE) in firms operating under different legal traditions, specifically comparing civil law (France) and common law (United Kingdom) countries. Utilizing data from the Orbis database for the period 2020–2022, the study employs random-effects estimations with robust standard errors. Results indicate that while the relationship between ESG and LCE is not significant in common law, it is positively significant in civil law. Results are robust to alternative ESG measures, such as the social pillar score (SOCP) estimations methods and samples. The findings suggest that the legal tradition moderates the ESG-LCE relationship, with stronger positive effects observed in civil law countries. The study highlights the importance of legal frameworks in shaping the economic impacts of ESG initiatives on labor costs. While ESG concerns may result in higher LCE, and thus increased employee compensation, implementing appropriate regulations to protect workers’ rights can foster a more effective ESG-LCE relationship than relying solely on market-based regulatory systems driven by stakeholder influence
A Hybrid Fuzzy AHP-TOPSIS approach for green supplier selection: a case study in Sri Lanka
Get PDFGreen supplier selection is an important component of sustainable supply chain management, particularly in emerging markets where environmental rules and institutional support may be inadequate. This study addresses the need for a structured, sustainability-focused decision-making strategy by presenting a novel hybrid framework that merges the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The suggested methodology enables systematic evaluation of suppliers by including both subjective expert judgment and objective performance data under conditions of uncertainty. A case study conducted inside the Sri Lankan construction sector demonstrates the practical applicability of the concept. Suppliers were evaluated on four important criteria: environmental, economic, social, and technological. The data reveal that Supplier A is the most suited choice, excelling mainly in environmental and social dimensions. Environmental compliance emerged as the most relevant element in the selection process. By merging fuzzy language assessments with quantitative analysis, the hybrid Fuzzy AHP–TOPSIS method promotes the accuracy, transparency, and consistency of supplier evaluation. The results give valuable insights for industry practitioners, procurement managers, and legislators aiming to connect purchasing choices with long-term sustainability goals. Additionally, the framework gives an accurate platform for future research and application in similar scenarios, helping the growth of green purchasing practices in developing nations