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DIGGING UP RURAL COMMUNITY-BASED TOURISM (CBT) IN DEVELOPING COUNTRY, INDONESIA’S FRAMEWORK FINDING

Lóránt Dávid Setiawan Priatmoko Al Fauzi Rahmat Endro Isnugroho Zoltán Bujdosó

Publication Name: Geojournal of Tourism and Geosites

Publication Date: 2025-01-01

Volume: 61

Issue: 3

Page Range: 1420-1429

Description:

To effectively support new rural CBTs and create development plans, it is necessary to have a broad understanding of rural CBT in developing countries. This study uses Indonesia as a case study to map and analyze patterns in earlier research in order to establish a conceptual framework. The study used a qualitative content analysis methodology to find important themes and trends in Indonesia's rural CBT development by examining journal papers indexed by Scopus that were referenced by other researchers. By charting these academic works, the researchers were able to get a wider view and identify potential problems in the sector. The analysis identified five interconnected dimensions - spatial aspects, local attractions, rural capacity, economic viability, and socio-cultural components - that form the foundation of rural CBT. These dimensions are critical in building a comprehensive framework that guides development planning, stakeholder collaboration, and long-term sustainability. Findings emphasize the importance of aligning rural CBT development with the principles of the circular economy, which promote environmental stewardship, community empowerment, and sustainable resource management. The study also highlights how preserving social capital, fostering inclusiveness, and enhancing local welfare are long-term goals achievable through strategic mapping, capacity building, and equitable profit distribution. The study also emphasizes how important social media and digital platforms are in influencing public perceptions and interest in rural tourism, which has aided in the quick ascent of rural CBT organizations throughout Indonesia. It becomes clear that community involvement and government assistance are essential to turning rural regions into sustainable travel destinations. Nonetheless, it is necessary to address enduring issues including environmental degradation, human resource problems, and infrastructure constraints. Ultimately, the study offers a rural CBT framework that can assist policymakers, tourism planners, and local stakeholders in making context-sensitive decisions. By integrating socio-spatial understanding, participatory planning, and capacity-focused strategies, stakeholders can create more resilient, inclusive, and sustainable tourism systems. This framework not only supports local livelihoods but also aligns with global Sustainable Development Goals (SDGs), offering a replicable model for other developing countries seeking to implement rural CBT initiatives effectively.

Open Access: Yes

DOI: 10.30892/gtg.61302-1512

Reducing Train Delays with Machine Learning-Based Predictive Maintenance for Railways

Dragan Pamucar Ali Heidari Mohammad Khalilzadeh

Publication Name: Decision Making Applications in Management and Engineering

Publication Date: 2025-01-01

Volume: 8

Issue: 2

Page Range: 265-284

Description:

The railway network constitutes a vital component of public transportation in many countries, serving millions of passengers and transporting significant volumes of freight. Nevertheless, a persistent challenge within this system is the frequent occurrence of train delays, which arise from diverse causes and result in financial losses, passenger dissatisfaction, and diminished trust among users. Consequently, enhancing operational efficiency and minimising delays has become a central objective for transportation planners and policymakers. In addressing this issue, the present study applies machine learning algorithms (MLAs), specifically multilayer perceptron (MLP) neural networks and the adaptive neuro-fuzzy inference system (ANFIS), to predict potential defects in railway vehicles and improve maintenance and repair strategies within the Iranian railway network. The findings reveal that ANFIS achieves superior predictive accuracy. Building on this, a mathematical model in combination with the Particle Swarm Optimization (PSO) algorithm was developed to optimise train allocation across stations and generate schedules aimed at reducing delays. The employed algorithms proved to be highly effective for predictive maintenance and repair of railway vehicles, ultimately contributing to delay reduction within the railway system.

Open Access: Yes

DOI: 10.31181/dmame8220251514

Optimizing Sustainability in Bridge Projects: A Framework Integrating Risk Analysis and BIM with LCSA According to ISO Standards

Rana Ahmad Maya Dema Munef Ahmad László Gáspár

Publication Name: Applied Sciences Switzerland

Publication Date: 2025-01-01

Volume: 15

Issue: 1

Page Range: Unknown

Description:

Building bridges sustainably is essential for advancing infrastructure development and ensuring long-term environmental, social, and economic viability. This study presents a framework that integrates risk management strategies and Building Information Modeling (BIM) with Life Cycle Sustainability Assessment (LCSA) standards to enhance bridge project sustainability. Through a targeted survey, the study evaluates risks across bridge lifecycle phases, identifying the main processes that significantly impact sustainability. Using the Pareto Principle, the framework prioritizes these processes and associated risks, guiding the creation of targeted improvement guidelines aligned with ISO 9001:2015, BIM, and LCSA standards, which support high quality and efficiency. The results reveal that 38 of 55 identified risks account for 80% of the lifecycle impact, and they include the majority of those derived from international standards, underscoring their significance in sustainability efforts. Additionally, 36 of 47 main processes are subject to 80% of the impact from these vital risks, highlighting phases like Construction and Supervision as priority areas for intervention. By linking specific risks to each process within these phases, the study outlines essential guidelines and strategic measures, ensuring a focused approach to sustainable bridge development that aligns with international standards and maximizes lifecycle sustainability outcomes.

Open Access: Yes

DOI: 10.3390/app15010383

Applicability of nanoscale ceramic particles as tribological lubricant additives

D. Tóth I. Szabó

Publication Name: 2022 IEEE 1st International Conference on Cognitive Mobility Cogmob 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 31-36

Description:

Lubricants play a critical role in the energy losses of an engine. Several engineering solutions are existing to reduce the frictional and wear losses caused by the lubricant such as ultra-low-viscosity lubricants. With the spread of low-viscosity engine oils like 0W-20 and below, the importance of tribological lubricant additives is increasing. To ensure the necessary protection of the rubbing surfaces against friction and wear, new lubricant additive materials should be researched and investigated. Next to the tribological performance of the additives, their impact on the price is a strong influencing factor. No financial information of the investigated additive materials is available in the current scientific articles and so no rentable decision can be defined which additive worth to invest as an engine oil additive in the future mass production engine oils. This article presents the tribological potential of selected nanoscale ceramic particles (zirconia, cupric oxide and yttria) as lubricant additives and compares them according to their financial impact. According to the results it can be stated that not always the additive with the best tribological properties will be the one be used in mass production manufactured lubricants.

Open Access: Yes

DOI: 10.1109/CogMob55547.2022.10117843

Examining cross‐border cultural tourism as an indicator of territorial integration across the slovak–hungarian border

Tamás Hardi Eszter Szemerédi Gyula Ocskay Marcell Kupi

Publication Name: Sustainability Switzerland

Publication Date: 2021-07-01

Volume: 13

Issue: 13

Page Range: Unknown

Description:

There are numerous examples of cross‐border regions in Europe, which are regions not properly demarcated by national borders. One of the main driving forces of the European Union is to turn the dividing borders into connecting borders by strengthening the cohesion between states and regions, thus, encouraging regions to remedy the existing ethnic and cultural fragmentation by increasing the intensity and number of cross‐border contacts. Our research focuses on proving that, in symbolic places, such as the cross‐border area of Komárom and Komárno, the cultural values, monuments, and heritage sites are the strongest attraction factors for nationality‐based cultural tourism. To support our hypothesis, we conducted an empirical survey within the framework of the H2020 SPOT (Social and Innovative Platform on Cultural Tourism and its potential towards deepening Europeanisation) in the cross‐border region of Komárom and Komárno. The evaluation con-centrated on four aspects of cultural tourism: the nature of cultural tourism in the area, the resident and visitor perceptions of the cultural tourism offerings, opportunities to increase cross‐border col-laboration, and options to improve the cultural tourism offerings of the area. Our results show that, although there is a great potential in the cross‐border tourist destination of Komárom–Komárno, the integration of the (once united) two towns is advancing very slowly, which can be witnessed in the weaknesses of tourism integration as well.

Open Access: Yes

DOI: 10.3390/su13137225

Learning generalized weighted relevance aggregation operators using levenberg-marquardt method

B. Sumudu U. Mendis Tamás D. Gedeon László T. Kóczy

Publication Name: Proceedings Sixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro Computing and Evolving Intelligence His Ncei 2006

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

We previously introduced the generalized Weighted Relevance Aggregation Operators (WRAO) for hierarchical fuzzy signatures. WRAO enhances the ability of the fuzzy signature model to adapt to different applications and simplifies the learning of fuzzy signature models from data. In this paper we overcome the practical issues which occur when learning WRAO from data. This paper discuss an algorithm for learning WRAO using the Levenberg-Marquardt (LM) method, which is one of the most sophisticated and widely used gradient based optimization method. Also, this paper shows the successful results of applying the proposed algorithm to extract WRAO for two real world problems namely High Salary Selection and SARS Patient Classification. © 2006 IEEE.

Open Access: Yes

DOI: 10.1109/HIS.2006.264917

The Role of Fintech in Promoting Sustainable Blue Economy

Bharti Kapur Attila Kurucz Komalpreet Kaur

Publication Name: World Sustainability Series

Publication Date: 2025-01-01

Volume: Part F794

Issue: Unknown

Page Range: 1-20

Description:

The sustainable blue economy lays a strong emphasis on utilising ocean resources responsibly in order to enhance livelihoods, preserve ecosystem health, and grow the economy. Financial technology, or fintech, has emerged as a major enabler, offering creative ways to eliminate financial gaps, enhance monitoring, and more efficiently manage ocean resources. In this chapter discusses how fintech may stimulate sustainable growth in the blue economy by concentrating on key issues including transparent resource management, scalable investment mechanisms, and inclusive financial systems. This chapter presents a conceptual framework for addressing economic, environmental, and social issues by fusing sustainable marine practices with technological advancements like blockchain, artificial intelligence, and the internet of things. Fintech’s practical implications in advancing sustainability are demonstrated through in-depth case studies, such as blockchain for Indonesian fisheries and crowdfunding for the restoration of coral reefs in the Caribbean. It also focuses on practical policy recommendations for incorporating fintech into nationally and globally blue economy strategies, like developing regulatory framework and strengthening cross-sector collaborations. The chapter concludes by highlighting fintech’s critical role in promoting sustainability, inclusion, and resilience in ocean-based economies, widening up opportunities for the accomplishment of more general sustainable development goals.

Open Access: Yes

DOI: 10.1007/978-3-031-92390-6_1

The Role of Leadership in Attracting Intellectual Migrants and Boosting Innovative Development of Countries

Yuriy Bilan Halyna Mishchuk Olena Oliinyk Marinko Skare

Publication Name: Contemporary Economics

Publication Date: 2025-09-25

Volume: 19

Issue: 3

Page Range: 339-354

Description:

The study aims to study the role of leadership in innovative development, including opportunities arising from the attractiveness of countries for intellectual migrants. The novelty of the research is in justifying the authors’ approach to assessing leadership development at the macroeconomic level and its use for defining the peculiarities of leadership development in the EU and assessing the links with of innovative development and attraction of countries for intellectual migrants. Considering leadership as an important feature of the macroeconomic environment for countries’ development, the correlation analysis was used to test hypotheses about the positive impact of leadership on (a) the attractiveness of countries for intellectual migrants; (b) the innovative development of countries. The resulting pairwise correlation coefficients for the EU show a strong relationship between the level of leadership and a country’s ability to attract (0.776) and retain talent (0.846), attract highly educated workers (0.757) and foreign entrepreneurs (0.780). A positive impact of leadership on innovative development is confirmed by the links with the overall value of the Global Innovation Index (0.825), the Growth of innovative companies (0.768) and the Entrepreneurial employee activity rate (0.599). The obtained findings prove the importance of leadership development as an important driver of talent attraction and the generation of innovative ideas.

Open Access: Yes

DOI: 10.5709/ce.1897-9254.570

Supporting the sustainable development of railway transport in developing countries

Daniel Rohacs Anita Boros Agnes Wanjiku Wangai

Publication Name: Sustainability Switzerland

Publication Date: 2020-05-01

Volume: 12

Issue: 9

Page Range: Unknown

Description:

Generally, the development process of the railway transport system is determined by the market pull effects initiated by the economy and society and the market push effects induced by technological progress. The policymakers can provide a balance between these two effects; this results in more effective, safer, and greener future railway systems. In developing countries, the railway systems lag compared to the developed economies. Therefore, the supporting management tools and legal supports for policymakers and strategic management play significant roles in the development of future sustainable transport systems. This paper deals with such required tools and the potential legal framework that support the development of sustainable railway systems in developing countries. The major novelty and advantages of the introduced methodology is the harmonised interaction between society, economic demands, technological development, and regulation. The proposed tools are applied to the Kenya rail system development.

Open Access: Yes

DOI: 10.3390/SU12093572