Smart Ecotourism and Natural Ecology in Kazakhstan

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. © 2025 Elsevier B.V., All rights reserved.

Авторы
Mikhaylov Alexey Yu 1, 2 , Barykin Sergey Evgenievich 3 , Dinets Daria A. 4 , Buniak Vasilii L. 5 , Kompaniitseva Oksana 6 , Kucher Anton 3 , Shevchuk Ekaterina 3 , Yousif Nagwa Babiker Abdalla 7, 8 , Senjyu Tomonobu 9 , Abramov Valery M. 10 , Khan Naqib Ullah 11
Издательство
Bilingual Publishing Group
Номер выпуска
3
Язык
Английский
Страницы
89-103
Статус
Опубликовано
Том
7
Год
2025
Организации
  • 1 Financial Faculty, Financial University under the Government of the Russian Federation, Moscow, Russian Federation
  • 2 Department of Science, Baku Eurasian University, Baku, Azerbaijan
  • 3 Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russian Federation
  • 4 Department of Finance and Credit, RUDN University, Moscow, Russian Federation
  • 5 Department of Economics and Finance, Financial University under the Government of the Russian Federation, Moscow, Russian Federation
  • 6 Department of Management, Financial University under the Government of the Russian Federation, Moscow, Russian Federation
  • 7 Department of Sociology, Ajman University, Ajman, United Arab Emirates
  • 8 Ajman University, Ajman, United Arab Emirates
  • 9 Department of Electrical and Electronic Engineering, University of the Ryukyus, Nishihara, Japan
  • 10 Institute for Research of International Economic Relations, Financial University under the Government of the Russian Federation, Moscow, Russian Federation
  • 11 School of Public Administration, Central South University, Changsha, China
Ключевые слова
AI-Based Applications; AI-Driven Transport; Carbon Footprint Offset; Deep Seek; Energy-Saving Solutions; Low-Impact Routes; Virtual Tours
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