1. Afzal, M. I., Al. Azhari, S., Kishwer, R., & Shah, S. B. A. (2024). Sustainable Expansion of the Tourist Industry Due to the Application of Artificial Intelligence: Evidence from the Chinese Hospitality Industry. In The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations (pp. 85-99). Emerald Publishing Limited. https://www.emerald.com/insight/content/doi/10.1108/978-1-83753-746-420241006/full/html
2. Al-Romeedy, B. S., Emam, M. E., & Tyagi, P. K. (2025). Exploring Waste Reduction Potential in Rural Tourism: What Solutions Can Be Implemented?. In Solid Waste Management for Rural Regions (pp. 193-214). IGI Global Scientific Publishing. https://www.igi-global.com/chapter/exploring-waste-reduction-potential-in-rural-tourism/363984
3. Banerjee, A., Mahmudov, T., Adler, E., Aisyah, F. N., & Wörndl, W. (2024). Modeling Sustainable City Trips: Integrating CO2 Emissions, Popularity, and Seasonality into Tourism Recommender Systems. arXiv preprint arXiv:2403.18604.https://arxiv.org/abs/2403.18604
4. Basu, A., & Basu, L. B. (2021). Questioning the green recovery: a take on Post-COVID scenario. In COVID-19 Pandemic Trajectory in the Developing World: Exploring the Changing Environmental and Economic Milieus in India (pp. 117-144). Singapore: Springer Singapore.https://link.springer.com/chapter/10.1007/978-981-33-6440-0_6
5. Belsoy, J., Korir, J., & Yego, J. (2012). Environmental impacts of tourism in protected areas. Journal of Environment and Earth Science, 2(10), 64-73.
6. Dauvergne, P. (2020). AI in the Wild: Sustainability in the Age of Artificial Intelligence. MIT Press.
7. Haider, S., Rashid, M., Tariq, M. A. U. R., & Nadeem, A. (2024). The role of artificial intelligence (AI) and Chatgpt in water resources, including its potential benefits and associated challenges. Discover Water, 4(1), 113.https://link.springer.com/article/10.1007/s43832-024-00173-y
8. Heikinheimo, V., Di Minin, E., Tenkanen, H., Hausmann, A., Erkkonen, J., & Toivonen, T. (2017). User-generated geographic information for visitor monitoring in a national park: A comparison of social media data and visitor survey. ISPRS International Journal of Geo-Information, 6(3), 85.https://doi.org/10.3390/ijgi6030085
9. Jain, P., Jain, P., & Jain, A. (2024). Harnessing Artificial Intelligence for Sustainable Tourism Practices. In The Need for Sustainable Tourism in an Era of Global Climate Change: Pathway to a Greener Future (pp. 249-267). Emerald Publishing Limited. https://www.emerald.com/insight/content/doi/10.1108/978-1-83608-668-020241034/full/html
10. Kalra, S., & Taneja, C. (2022). Sustainable tourism behaviour in the post pandemic era. Academy of Marketing Studies Journal, 26(2).
11. Kannan, R. (2024). Revolutionizing the Tourism Industry through Artificial Intelligence: A Comprehensive Review of AI Integration, Impact on Customer Experience, Operational Efficiency, and Future Trends. International Journal for Multidimensional Research Perspectives, 2(2), 01-14. https://www.chandigarhphilosophers.com/index.php/ijmrp/article/view/115
12. Khan, N., Khan, W., Humayun, M., & Naz, A. (2024). Unlocking the Potential: Artificial Intelligence Applications in Sustainable Tourism. The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations, 303-316. https://www.emerald.com/insight/content/doi/10.1108/978-1-83753-746-420241020/full/html
13. Mobo, F. D., Garcia, A. L. R., & Miłek, K. (2025). Leveraging AI for Real-Time Environmental Monitoring: Innovations and Impacts. In Harnessing AI in Geospatial Technology for Environmental Monitoring and Management (pp. 201-212). IGI Global Scientific Publishing. https://www.igi-global.com/chapter/leveraging-ai-for-real-time-environmental-monitoring/364535
14. Palahan, S., & Arunthari, S. (2024, April). Innovating Tourism: Personalized Recommendations through AI. In Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition (pp. 1-5). https://doi.org/10.1145/3663976.3663991
15. Pasanchay, K., & Schott, C. (2021). Community-based tourism homestays' capacity to advance the Sustainable Development Goals: A holistic sustainable livelihood perspective. Tourism Management Perspectives, 37, 100784.https://doi.org/10.1016/j.tmp.2020.100784
16. Patrichi, I. C. (2024). AI Solutions for Sustainable Tourism Management: A Comprehensive Review. Journal of Information Systems & Operations Management, 18(1), 172-185. https://www.proquest.com/openview/c4186efe32430cdea07de5c03ba27d52/1?pq-origsite=gscholar&cbl=1216366
17. Popescu, S. M., Mansoor, S., Wani, O. A., Kumar, S. S., Sharma, V., Sharma, A., ... & Chung, Y. S. (2024). Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management. Frontiers in Environmental Science, 12, 1336088. https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2024.1336088/full
18. Serrano-Bernardo, F. A., Bruzzi, L., Toscano, E. H., & Rosúa-Campos, J. L. (2012). Pollutants and greenhouse gases emissions produced by tourism life cycle: Possible solutions to reduce emissions and to introduce adaptation measures. Air pollution-A comprehensive perspective, 105. https://www.google.co.in/books/edition/Air_Pollution/292dDwAAQBAJ?hl=en&gbpv=1&dq=tourism+air+travel,+accommodation,+and+local+transportation,+which+significantly+contribute+to+greenhouse+gas+emissions&pg=PA105&printsec=frontcover
19. Singh, A. B., Gaurav, G., Sarkar, P., Sharan Dangayach, G., & Lal Meena, M. (2024). Current understanding, motivations, and barriers towards implementing sustainable initiatives in the hospitality industry in the age of automation and artificial intelligence. Recent Patents on Engineering, 18(7), 2-25. https://doi.org/10.2174/0118722121239293230926034213
20. Veeranjaneyulu, R., Govindarajan, D., Subramanian, C., Devi, D. U., Banerjee, S., Edpuganti, S. K., & Upadhyay, S. (2024). Marine Ecosystem Monitoring: Applying Remote Sensing and AI to Track and Predict Coral Reef Health. Remote Sensing in Earth Systems Sciences, 1-14.https://link.springer.com/article/10.1007/s41976-024-00141-z
21. Vetrivel, S. C., Vidhyapriya, P., & Arun, V. P. (2025). AI-Driven Solutions for Crowd Management in Tourism: Navigating the Swarm. In AI Technologies for Personalized and Sustainable Tourism (pp. 83-112). IGI Global. https://www.igi-global.com/chapter/ai-driven-solutions-for-crowd-management-in-tourism/359252