Understanding User Perspectives on Sustainability and Fairness in Tourism Recommender Systems

Banik, Paromita; Banerjee, Ashmi; Wörndl, Wolfgang

doi:10.1145/3563359.3597442

Cited by 3 publications

(1 citation statement)

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“…These systems utilise ML algorithms to suggest destinations and activities that minimise environmental impact and promote the local economy. Banik et al (2023) demonstrate that including sustainable options in intelligent suggestions encourages tourists to choose sustainable and less popular areas. Adaji and Adisa (2022) present a review of the use of persuasive technologies to influence sustainable behaviour.…”

Section: Recommendations Approaches For Sustainable Tourismmentioning

confidence: 97%

Intelligent Exchange of Sustainable Tourist Habits among the EU Member States

Leal,

Pinho

2024

Administrative Sciences

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Despite much research being conducted within the scope of sustainable tourism, more progress has yet to be made in defining how close or far different countries are from achieving this goal. Consequently, this paper aims to evaluate and compare the commitment of citizens, as tourists, from the 27 member states of the European Union to sustainable tourism. A map of sustainability was developed through the use of machine learning algorithms. A cluster analysis was performed, followed by a sustainable rating. The main findings indicate the existence of three country segments among the European Union member states according to the involvement of its citizens as tourists with sustainable practices: highly committed, moderately committed, and uncommitted. Based on these segments, we proposed a recommendation system that suggests the top-five countries where tourists could exchange sustainable tourism habits based on the idea of contagion or imitation behaviours among individuals across an extensive set of everyday decisions. The results reveal significant variations in sustainable tourism practices across member states, highlighting both challenges and opportunities for harmonisation. By implementing this recommendation system, we facilitate the adoption of sustainable habits among tourists and stakeholders, driving a more unified approach to sustainability in the multiple tourism destinations. This study shows no convergence between the 27 European Union member states regarding sustainable tourism. Therefore, political policies are necessary so that all citizens converge on sustainable tourist habits and the European Union contributes, as a whole, to sustainable tourism.

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Section: Recommendations Approaches For Sustainable Tourismmentioning

confidence: 97%