Incorporation of artificial intelligence toward carbon footprint management in hotels to create sustainable, green hotel: Mini review
DOI: 10.23977/tmte.2024.070107 | Downloads: 60 | Views: 783
Author(s)
Yu Qi 1
Affiliation(s)
1 University of Sanya, Sanya, Hainan, China
Corresponding Author
Yu QiABSTRACT
Managing carbon footprints in hotels is a critical element of ensuring sustainability within the industry. Studies conducted in various settings emphasize the significance of enhancing energy efficiency, particularly within housekeeping departments and electricity usage. The current study employed a comprehensive approach by searching multiple databases including Web of Science Core Collection, SCOPUS, CNKI, and Semantic Scholar to gather relevant literature. As a consequence, just 4 papers fit the criteria and were included in this mini review after 10 unavailable publications and 16 articles irrelevant to the subject were disregarded. Ultimately, the infusion of AI technology into hotels' carbon footprint reduction and management strategies is revolutionizing the industry. With its capacity to optimize energy consumption, revolutionize resource management, curtail embodied carbon, champion sustainable practices, and propel waste reduction endeavors, AI is unleashing a wave of innovation to tackle the environmental hurdles confronting the hospitality sector.
KEYWORDS
Artificial intelligence; Carbon footprint management; Green hotelCITE THIS PAPER
Yu Qi, Incorporation of artificial intelligence toward carbon footprint management in hotels to create sustainable, green hotel: Mini review. Tourism Management and Technology Economy (2024) Vol. 7: 51-55. DOI: http://dx.doi.org/10.23977/tmte.2024.070107.
REFERENCES
[1] Senán-Salinas, J., Landaburu-Aguirre, J., García-Pacheco, R., & García-Calvo, E. (2022). Recyclability Definition of Recycled Nanofiltration Membranes through a Life Cycle Perspective and Carbon Footprint Indicator. Membranes, 12(9), 854.
[2] Panara, D., Martini, C. M., Berterame, D., & Bruscoli, S. (2022, October). Additive Manufacturing Bearing Design for Performance Improvement and Carbon Footprint Reduction. In ADIPEC. OnePetro. D022S158R004
[3] Yang, L., Zhang, J.H, Zhong, S., Liu, Z.H., & Sun, J.K. (2015). Carbon Footprint Efficiency and Its Influencing Factors on the Hotels in the Mountain Resort. Ecological Economy. 3, 126-130.
[4] Silva, L. (2022). Adoption of renewable energy innovations among hoteliers in Portugal. Tourism & Management Studies. 18(4), 17-26.
[5] Mengual Torres, S. G., May Tzuc, O., Aguilar-Castro, K. M., Castillo Téllez, M., Ovando Sierra, J., Cruz-y Cruz, A. D. R., & Barrera-Lao, F. J. (2022). Analysis of Energy and Environmental Indicators for Sustainable Operation of Mexican Hotels in Tropical Climate Aided by Artificial Intelligence. Buildings, 12(8), 1155.
[6] Azmi, I. A. B., Basher, H. S., Sern, C. H. Y., & Mohidin, H. H. B. (2022). BIM-Based Building Performance Analysis for a Green Resort in Malaysia. Journal of Advanced Research in Applied Sciences and Engineering Technology, 28(3), 320-335.
[7] Chandran, C., & Bhattacharya, P. (2022). Development and implementation of sustainability criteria and indicators for eco-lodges and resorts in ecotourism destinations: Case studies from India. Turizam, 26(3), 161-175.
[8] Tan, Y. S., & Wright, A. S. (2022). Exploring "Smart and Green" Concepts: A New Synergy for Irish Hospitality. Tourism and Hospitality, 3(1), 276-296.
Downloads: | 10270 |
---|---|
Visits: | 267217 |
Sponsors, Associates, and Links
-
Information Systems and Economics
-
Accounting, Auditing and Finance
-
Industrial Engineering and Innovation Management
-
Journal of Computational and Financial Econometrics
-
Financial Engineering and Risk Management
-
Accounting and Corporate Management
-
Social Security and Administration Management
-
Population, Resources & Environmental Economics
-
Statistics & Quantitative Economics
-
Agricultural & Forestry Economics and Management
-
Social Medicine and Health Management
-
Land Resource Management
-
Information, Library and Archival Science
-
Journal of Human Resource Development
-
Manufacturing and Service Operations Management
-
Operational Research and Cybernetics