Search in Publications

Found 6273 publications

THE IMPACT OF AN ARTIFICIAL INTELLIGENCE-BASED FORECASTING MODEL ON THE DEVELOPMENT OF SUSTAINABLE TOURISM

Marcell Kupi

Publication Name: Geojournal of Tourism and Geosites

Publication Date: 2025-01-01

Volume: 61

Issue: 3

Page Range: 1758-1766

Description:

This research investigates the application of artificial intelligence (AI) and Web 3.0 technologies in promoting sustainable urban tourism, with a particular focus on demand forecasting and environmental impact assessment. The study presents a two-layered AI-based model aimed at supporting data-driven decision-making in destination management, addressing the need for forward-looking strategies that align with both operational and sustainability goals. The research applies the Facebook Prophet algorithm to forecast monthly tourism demand in two Hungarian cities—Budapest and Győr—selected for their contrasting tourism profiles. Forecast outputs were then integrated into a sustainability impact module estimating carbon dioxide emissions, water consumption, and waste generation, based on empirically defined conversion factors. Results indicated strong seasonal peaks in Budapest, with over 1.3 million overnight stays projected for August 2026, and corresponding environmental impacts surpassing 62,000 tons of CO₂. In contrast, Győr exhibited more moderate fluctuations and lower error margins, reflecting a more stable tourism pattern. Forecast accuracy was assessed using MAE, RMSE, and MAPE metrics, showing acceptable performance for strategic use, although with reduced reliability in low-demand periods. The sustainability module effectively highlighted peak periods of ecological burden, enabling targeted interventions such as infrastructure scaling, service optimization, and seasonal policy adjustments. In addition to its forecasting functionality, the model offers practical guidance for municipalities by identifying where and when ecological pressure is likely to arise. The dual-model framework offers a scalable and replicable approach for cities seeking to balance tourism growth with environmental and community well-being. By integrating predictive analytics with sustainability assessment, the model provides valuable insights into the timing and magnitude of tourism’s impact. This supports smarter capacity planning, emission reduction strategies, and the alignment of visitor flows with local resilience thresholds. The findings contribute to the evolving discourse on smart and sustainable tourism in the Web 3.0 era, positioning AI as a critical enabler of holistic and proactive destination manageme nt.

Open Access: Yes

DOI: 10.30892/gtg.61334-1544

Global Sustainability Reporting in the Automotive Industry via the eXtensible Business Reporting Language

Árpád Tóth Alex Suta

Publication Name: Chemical Engineering Transactions

Publication Date: 2021-01-01

Volume: 88

Issue: Unknown

Page Range: 1087-1092

Description:

Sustainability measurement has become one of the most important topics for automotive manufacturers. The financial reporting practice has been faced with an increased digitization and standardization process, which was enabled by the either voluntary or required implementation of the eXtensible Business Reporting Language (XBRL) platform. The obligatory adaption appeared in European legislation, which covers both financial, and non-financial information. In the current study, we have made a comparison of the most significant European and American automakers' sustainability reports data content to utilize the sustainability XBRL taxonomy adaptation. Using literature, the development of disclosure requirements was reviewed, following which the adaptation to global sustainability standards (GRI, SASB) in reporting was examined from a qualitative point of view, using a text mining methodology. It has been concluded that by the biggest automotive manufacturers the conditions are currently met to a limited extent, but the most significant obstacle is the lack of linking sustainability information to financial impacts. If the financial regulations require OEMs to adapt, and potentially disclose negative information (such as pollution data, penalties) may negatively affect investor perception. Based on the review XBRL is capable to become a global standard, however, reported contents should be carefully audited and linked to objectively verifiable financial data to provide relevant information to investors, decision-makers.

Open Access: Yes

DOI: 10.3303/CET2188181

Assessing logistics strategy issues under cognitive biases

Peter Foldesi Eszter Sós

Publication Name: 2023 14th IEEE International Conference on Cognitive Infocommunications Coginfocom 2023

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 141-146

Description:

Cognitive biases often appear in the decision-making process of highly qualified managers of companies because of the drive for efficiency and the time pressure in operation. There are also long-term strategic decisions where there is no longer time pressure, and yet cognitive bias appears, for example during the selection between the Push and Pull systems in logistics. The description of the actual situation has to be quantified because communication between human-machine systems, as defined in cognitive info-communication, is only viable if cognitive biases in decision-making can be considered properly. We propose fuzzy approach and measures that can assess whether the production uses a Push or Pull logistics strategy for a specific product or for the entire company.

Open Access: Yes

DOI: 10.1109/CogInfoCom59411.2023.10397543

Highly qualified social strata in urban areas of Hungarian regional centres from 1980 to 2011

Judit Berkes

Publication Name: Regional Statistics

Publication Date: 2021-01-01

Volume: 11

Issue: 4

Page Range: 126-147

Description:

This study investigates the spatial concentration of highly qualified strata using statistical indicators and Representation of highly qualified social strata means the spatial concentration of groups with higher social status education level, foreign language professional skills, and employment level) in not coincide with mainstream definitions of interaction and networks between social groups). According the most basic assumptions of the complex city concept, settlements with urban status are much more complex in economic, social, and technical structure and their network relations and interactions than settlements that have not been declared as cities. Simultaneously, the difference in social composition between cities and other settlements cannot be disputed because the concentration of economic resources and activities and the potential of employment and the fact that higher income attracts skilled workers to the cities and their catchment areas; all of these resulting in a higher proportion of highly qualified social strata. To meet the increasing needs of the global society and results of the transition to a market economy and globalization processes, a wider range of services are emerging, so the workforce is also significant differentiation, causing changes in the characteristics and composition of society. This paper attempts to study these processes exploring the dynamic trends of change in the spatial distribution of the examined groups. The author is looking for answers to questions such as how this aspect measured? Is there a difference in the structure of the society of urban centres and their catchment areas been a change in the spatial-social characterristics of urban areas over the decades?

Open Access: Yes

DOI: 10.15196/RS110406

NFTs and Cryptocurrencies—The Metamorphosis of the Economy under the Sign of Blockchain: A Time Series Approach

Laszlo Vasa Constanta Mihaescu Simona Andreea Apostu Zbyslaw Dobrowolski Mirela Panait

Publication Name: Mathematics

Publication Date: 2022-09-01

Volume: 10

Issue: 17

Page Range: Unknown

Description:

Although NFTs (non-fungible tokens) and cryptocurrencies are active on the same market, their prices are not so closely related over time. The objective of this paper is to identify the relationship between the two types of assets (NFTs and the cryptocurrencies Ethereum, Crypto Coin, and Bitcoin), using data for the period between September 2020 until February 2022. The conclusions of the study are useful for cryptocurrency and NFT issuers, but also for investors on the financial market who are reconfiguring their portfolios with increasing frequency, and use these new assets for speculative or hedging purposes based on blockchain technology. The results highlighted relationships between NFTs and Ethereum, between Ethereum and Crypto Coin, and between Bitcoin and Ethereum, Ethereum being a bridge between all four. Therefore, NFTs present a relationship with Ethereum, the NFTs price had a causal effect on the price of Ethereum.

Open Access: Yes

DOI: 10.3390/math10173218

Introducing the concept of internet of digital reality – part i

None Csapó Tamás Budai György Wersényi Péter Baranyi

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2021-01-01

Volume: 18

Issue: 7

Page Range: 225-240

Description:

With the growing pervasiveness of Virtual Reality, Augmented Reality, Mixed Reality and Digital Twins combined with Artificial Intelligence, 5G networks and the omni-present 2D Web, we are entering into a new era, characterized by a multi-modal entangled combination of previously disparate realms of IT with human and social cognitive systems. This process of entanglement is arguably leading to a new, qualitatively different kind of reality, in which the bor-ders between the physical and digital world, as well as digital representations and simulations thereof are becoming increasingly fuzzy. Based on these developments, the paper re-interprets some well-known concepts – including virtual reality, augmented reality, mixed reality, as well as virtual / digital simulations and virtual / digital twins. Based on these new interpretations, the paper introduces the higher-level structures of Digital Reality (DR) and Internet of Digital Reality (IoD). It is argued that these structures can lead to a better understanding of the new possibilities afforded to humanity by pervasive digital technologies.

Open Access: Yes

DOI: 10.12700/APH.18.7.2021.7.12

Calibration of an Arduino-based low-cost capacitive soil moisture sensor for smart agriculture

G. Milics Viktoria Vona Ákos Bede-Fazekas Márk Kovács István Mihály Kulmány László Bede Ana Beslin Bálint Ambrus Barna Kovács Zsolt Giczi

Publication Name: Journal of Hydrology and Hydromechanics

Publication Date: 2022-09-01

Volume: 70

Issue: 3

Page Range: 330-340

Description:

Agriculture faces several challenges to use the available resources in a more environmentally sustainable manner. One of the most significant is to develop sustainable water management. The modern Internet of Things (IoT) techniques with real-time data collection and visualisation can play an important role in monitoring the readily available moisture in the soil. An automated Arduino-based low-cost capacitive soil moisture sensor has been calibrated and developed for data acquisition. A sensor- and soil-specific calibration was performed for the soil moisture sensors (SKU:SEN0193 - DFROBOT, Shanghai, China). A Repeatability and Reproducibility study was conducted by range of mean methods on clay loam, sandy loam and silt loam soil textures. The calibration process was based on the data provided by the capacitive sensors and the continuously and parallelly measured soil moisture content by the thermogravimetric method. It can be stated that the response of the sensors to changes in soil moisture differs from each other, which was also greatly influenced by different soil textures. Therefore, the calibration according to soil texture was required to ensure adequate measurement accuracy. After the calibration, it was found that a polynomial calibration function (R2 ≥ 0.89) was the most appropriate way for modelling the behaviour of the sensors at different soil textures.

Open Access: Yes

DOI: 10.2478/johh-2022-0014

HPLC and direct photothermal techniques for quantification of β-carotene in sea buckthorn juices

I. Jócsák M. Máté György Végvári G. Simon G. Ficzek D. Székely Ottó Dóka

Publication Name: European Journal of Horticultural Science

Publication Date: 2021-01-01

Volume: 86

Issue: 5

Page Range: 493-498

Description:

The analytical performance of the proposed laser-based photoacoustic spectroscopy (LBPAS) and optothermal window (OW) method for quantification of β-carotene content in sea buckthorn juices is compared to that of the conventional high-performance liquid chromatography (HPLC). Both photothermal techniques (laser-based photoacoustic spectroscopy (LBPAS) and optothermal window (OW)) are direct methods that unlike HPLC obviate the need for the extraction of the analyte. The outcome of the study leads to the conclusion that LBPAS and OW are both suitable for quick screening of ß-carotene in sea buckthorn juices. The β-carotene content of the samples changed due to the added sea buckthorn pomace and storage time. The correlation between the two methods and HPLC is linear with R2=0.9897 for LBPAS and R2=0.9928 for OW, respectively. Both methods are capable of the rapid and non-destructive determination of β-carotene in sea buckthorn juices without a need for sample pre-treatment.

Open Access: Yes

DOI: 10.17660/EJHS.2021/86.5.5

Evaluating Stakeholder Opinion on Traffic Engineering Devices to Improve Pedestrian Crossing Safety Around Schools in Small Villages

Emese Mako Kurmangaliyev Zhiger

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1258 LNNS

Issue: Unknown

Page Range: 58-68

Description:

Despite the greater attention and investment in pedestrian safety measures typically allocated to urban areas, rural villages are frequently overlooked in this respect. A school zone typically applied in urban contexts, refers to a road network surrounding a school where younger pedestrians are likely to be present. The research objective was to gain insight into the traffic preferences of key stakeholders, including teachers, pupils, parents, and representatives of the road authority, regarding the safety of pedestrian crossings in the vicinity of small village schools. A survey was conducted at selected primary schools with relatively high traffic volumes and a high risk of pedestrian accidents. The survey evaluated six different types of designated pedestrian crossings equipped with different traffic engineering devices. The results of the Spearman rank correlation analysis indicate a high degree of alignment between the perspectives of parents and school pupils. At the same time, those of road professionals diverge significantly from those of parents. The teachers’ perspectives exhibit moderate alignment with those of school pupils and road professionals, positioning them in a middle ground between these two groups. The findings demonstrate that the traffic engineering measures deemed safe by road users do not always correspond with those preferred by road professionals. A discrepancy between perceived and actual safety is frequently observed. To address this discrepancy, it is crucial to educate pedestrians about the advantages of safety devices that engineers have identified as effective. Concurrently, it would be prudent for those responsible for the management of roadways to give due consideration to the preferences of pedestrians during their planning activities.

Open Access: Yes

DOI: 10.1007/978-3-031-81799-1_6