Fusion: Practice and Applications

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https://doi.org/10.54216/FPA

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2692-4048ISSN (Online) 2770-0070ISSN (Print)

Volume 17 , Issue 2 , PP: 315-328, 2025 | Cite this article as | XML | Html | PDF | Full Length Article

A Comprehensive Data Fusion Analysis for Virtual Tourism Systems

Muhammad Eid BALBAA 1 * , Olim Astanakulov 2 , Oybek Khayitov 3 , Kurbon Rakhmanov 4 , Sanjar Mirzaliev 5

  • 1 Tashkent State University of Economics, Uzbekistan - (m.balbaa@tsue.uz)
  • 2 DSC, Professor, International Islamic Academy of Uzbekistan, Head of “Islamic Economics and Finance, Pilgrimage Tourism” Department - (astanakulov@gmail.com)
  • 3 DSC, Professor, Institute for Retraining and Advanced Training of Physical Culture and Sports Specialists, Uzbekistan - (oybekhayitov@sportedu.uz)
  • 4 Associate Professor, International Islamic Academy of Uzbekistan, Head of “Modern of Information and communications technology” Department - (raxmanov@gmail.com)
  • 5 Tashkent State University of Economics, Uzbekistan - (s.mirzaliev@tsue.uz)
  • Doi: https://doi.org/10.54216/FPA.170223

    Received: February 11, 2024 Revised: May 14, 2024 Accepted: October 10, 2024
    Abstract

    Recently, it has been observed that the tourism industry is undergoing a fundamental change due to the rapid development of virtual tour technologies, especially artificial intelligence. This paper therefore aims to provide an overview of this new development from the early 2000s to the current environment in global tourism. We present, in a historical context, the main developments and applications of virtual tours and AI through a systematic review of literature, industry reports and empirical data from different sectors of the tourism industry. Our findings suggest that the adoption of the technologies under review, enhanced by data fusion, has significantly reshaped the way tourism experiences are conceptualized, delivered, and consumed. Data fusion combines information from multiple sources, enabling richer insights and a more comprehensive understanding of traveller behaviours and preferences. While virtual tours have emerged as a powerful tool for destination marketing, cultural preservation, and accessibility, AI, combined with data fusion, has also transformed the landscape by enabling more personalized travel planning, responsive customer service, and data-driven decision-making. This integration allows tourism providers to create seamless and engaging experiences tailored to individual needs, making tourism more accessible and efficient. In each case, these innovations have raised important questions about authenticity, sustainability, and the future of traditional tourism business models. We will present a critical comparison of virtual and physical tourism experiences in different regions and market segments, providing insights into the interplay of technological innovation, economic imperatives, and socio-cultural dynamics in the digital age. We conclude by reflecting on the implications for post-pandemic recovery, responsible tourism and global cultural exchange through virtual tours and AI. The findings of the study add to the growing body of knowledge on the digitalization of tourism and provide useful insights for practitioners, policy makers and researchers interested in the rapidly changing landscape of this industry.

    Keywords :

    Data Fusion , Virtual Tours , Artificial Intelligence , Tourism , Digital Transformation , Cultural Exchange , Sustainability

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    Cite This Article As :
    Eid, Muhammad. , Astanakulov, Olim. , Khayitov, Oybek. , Rakhmanov, Kurbon. , Mirzaliev, Sanjar. A Comprehensive Data Fusion Analysis for Virtual Tourism Systems. Fusion: Practice and Applications, vol. , no. , 2025, pp. 315-328. DOI: https://doi.org/10.54216/FPA.170223
    Eid, M. Astanakulov, O. Khayitov, O. Rakhmanov, K. Mirzaliev, S. (2025). A Comprehensive Data Fusion Analysis for Virtual Tourism Systems. Fusion: Practice and Applications, (), 315-328. DOI: https://doi.org/10.54216/FPA.170223
    Eid, Muhammad. Astanakulov, Olim. Khayitov, Oybek. Rakhmanov, Kurbon. Mirzaliev, Sanjar. A Comprehensive Data Fusion Analysis for Virtual Tourism Systems. Fusion: Practice and Applications , no. (2025): 315-328. DOI: https://doi.org/10.54216/FPA.170223
    Eid, M. , Astanakulov, O. , Khayitov, O. , Rakhmanov, K. , Mirzaliev, S. (2025) . A Comprehensive Data Fusion Analysis for Virtual Tourism Systems. Fusion: Practice and Applications , () , 315-328 . DOI: https://doi.org/10.54216/FPA.170223
    Eid M. , Astanakulov O. , Khayitov O. , Rakhmanov K. , Mirzaliev S. [2025]. A Comprehensive Data Fusion Analysis for Virtual Tourism Systems. Fusion: Practice and Applications. (): 315-328. DOI: https://doi.org/10.54216/FPA.170223
    Eid, M. Astanakulov, O. Khayitov, O. Rakhmanov, K. Mirzaliev, S. "A Comprehensive Data Fusion Analysis for Virtual Tourism Systems," Fusion: Practice and Applications, vol. , no. , pp. 315-328, 2025. DOI: https://doi.org/10.54216/FPA.170223