Smart Ecotourism and Natural Ecology in Kazakhstan

Authors

  • Alexey Mikhaylov

    Financial Faculty, Financial University under the Government of the Russian Federation, Moscow 125167, Russia

    Department of Science, Baku Eurasian University, Baku, AZ 1073, Republic of Azerbaijan
  • Sergey Barykin

    Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, 195251, Russia
  • Daria Dinets

    Department of Finance and Credit, Peoples’ Friendship University of Russia named after Patrice Lumumba, Moscow, 117198, Russia
  • Vasilii Buniak

    Department of Economics and Finance, Financial University under the Government of the Russian Federation, St. Petersburg 197198, Russia
  • Oksana Kompaniitseva

    Department of Economics and Management, Financial University under the Government of the Russian Federation, Smolensk 214018, Russia
  • Anton Kucher

    Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, St. Petersburg 195220, Russia
  • Ekaterina Shevchuk

    Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, St. Petersburg 195220, Russia
  • Oksana Konpaniitseva

    Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, St. Petersburg 195220, Russia
  • N. B. A. Yousif

    Department of Sociology, College of Humanities and Science, Ajman University, Ajman P.O. Box: 346, UAE

    Humanities and Social Sciences Research Centre (HSSRC), Ajman University, Ajman P.O. Box: 346, UAE
  • Tomonobu Senjyu

    Department of Electrical and Electronics Engineering, Faculty of Engineering, University of the Ryukyus, Okinawa 903-0213, Japan
  • Valery Abramov

    Institute for Research of International Economic Relations, Financial University under the Government of the Russian Federation, Moscow 125167, Russia
  • Naqib Ullah Khan

    School of Public Administration, Central South University, Changsha 410017, China

DOI:

https://doi.org/10.30564/re.v7i3.10233
Received: 28 May 2025 | Revised: 10 June 2025 | Accepted: 12 June 2025 | Published Online: 3 July 2025

Abstract

Artificial intelligence (AI) is transforming the tourism industry and affecting on natural ecology, making it more environmentally friendly, efficient and personalized. In 2025, AI technologies are being actively implemented to reduce the carbon footprint, optimize resources, and improve the travel experience. Here are the key applications of AI in environmentally sustainable smart tourism: AI in smart tourism is not just a technological trend, but a necessity for the sustainable development of the industry. Paper analyses personalized and green travel experience and smart tourism. AI-based applications (Google ARCore) allow tourists to get information about attractions without paper booklets.  Virtual tours reduce the need for physical travel by reducing the carbon footprint.  Platforms offer routes with minimal impact on nature (for example, hiking trails instead of car tours). Tourists can offset their carbon footprint through AI tools by financing tree planting.  The introduction of AI solutions allows combining economic benefits with environmental responsibility, creating a future where travel becomes safer for the planet.  Paper confirms idea about sustainable tourism development in developing countries and focus on premium ecotourism. Instead of mass tourism, AI helps promote unique destinations (safaris, diving, ethnographic tours), which increases income with less environmental damage.  Smart cities with AI-driven transport and energy-saving solutions make tourism more sustainable.

Keywords:

AI-Based Applications; Virtual Tours; Low-Impact Routes; Carbon Footprint Offset; AI-Driven Transport; Energy-Saving Solutions; Deep Seek

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Alexey Mikhaylov, Sergey Barykin, Daria Dinets, Vasilii Buniak, Oksana Kompaniitseva, Anton Kucher, Ekaterina Shevchuk, Oksana Konpaniitseva, N. B. A. Yousif, Tomonobu Senjyu, Valery Abramov, & Naqib Ullah Khan. (2025). Smart Ecotourism and Natural Ecology in Kazakhstan. Research in Ecology, 7(3), 89–103. https://doi.org/10.30564/re.v7i3.10233

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Vol. 7, Iss. 3 (August 2025)(in progress)

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Article (This article belongs to the Special Issue "Innovative application of AI and machine learning in solving ecological problems")

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Copyright © 2025 Alexey Mikhaylov, Sergey Barykin, Daria Dinets, Vasilii Buniak, Oksana Solodchenkova, Anton Kucher, Ekaterina Shevchuk, Oksana Konpaniitseva, N. B. A. Yousif, Tomonobu Senjyu, Valery Abramov, Naqib Ullah Khan

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