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SmartSustain Recommender System: Navigating Sustainability Trade-offs in Personalized City Trip Planning

Published: October 20, 2025 | arXiv ID: 2510.17355v2

By: Ashmi Banerjee, Melih Mert Aksoy, Wolfgang Wörndl

Potential Business Impact:

Guides travelers to pick eco-friendly trips.

Business Areas:
Smart Cities Real Estate

Tourism is a major contributor to global carbon emissions and over-tourism, creating an urgent need for recommender systems that not only inform but also gently steer users toward more sustainable travel decisions. Such choices, however, often require balancing complex trade-offs between environmental impact, cost, convenience, and personal interests. To address this, we present the SmartSustain Recommender, a web application designed to nudge users toward eco-friendlier options through an interactive, user-centric interface. The system visualizes the broader consequences of travel decisions by combining CO2e emissions, destination popularity, and seasonality with personalized interest matching. It employs mechanisms such as interactive city cards for quick comparisons, dynamic banners that surface sustainable alternatives in specific trade-off scenarios, and real-time impact feedback using animated environmental indicators. A preliminary user study with 21 participants indicated strong usability and perceived effectiveness. The system is accessible at https://smartsustainrecommender.web.app.

Country of Origin
🇩🇪 Germany

Page Count
8 pages

Category
Computer Science:
Human-Computer Interaction