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Smart Ecotourism and Natural Ecology in Kazakhstan

  • Alexey Mikhaylov
  • , Sergey Barykin
  • , Daria Dinets
  • , Vasilii Buniak
  • , Oksana Kompaniitseva
  • , Anton Kucher
  • , Ekaterina Shevchuk
  • , Oksana Kompaniitseva
  • , N. B.A. Yousif
  • , Tomonobu Senjyu
  • , Valery Abramov
  • , Naqib Ullah Khan
  • Financial Academy of the Russian Federation Government
  • Baku Eurasian University
  • Peter the Great St. Petersburg Polytechnic University
  • People's Friendship University of Russia
  • University of the Ryukyus
  • Central South University

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)89-103
Number of pages15
JournalResearch in Ecology
Volume7
Issue number3
DOIs
StatePublished - Aug 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  3. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  4. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  5. SDG 13 - Climate Action
    SDG 13 Climate Action
  6. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

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

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