ABSTRACT Tourism transport contributes approximately 8% of total GHG emissions of the World and 60% of that belongs to road transport. In this context, AI plays the crucial role in achieving net‐zero emissions and promoting sustainable tourism development. Thus, this study aims to investigate the impacts of artificial intelligence, tourist arrivals, economic growth, recycling of municipal solid waste, and population density on GHG emissions generated from tourism transport in leading tourism economies over the period 1995 to 2020 by utilizing the CS‐ARDL model. Results suggest that artificial intelligence and recycling of municipal solid waste are negatively associated with GHGs emissions in both short and long run and significantly contributing to their reduction. Contrary, tourism arrivals, economic growth, and population density are responsible for increasing GHG emissions in both the short and long run. Based on these empirical findings, AI‐based applications, modeling mechanisms, and management strategies are proposed to support sustainable tourism development.
Tiwari et al. (Sun,) studied this question.
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