In an era of information overload and complex decision-making processes, Recommender Systems (RS) have emerged as indispensable tools across diverse domains, particularly travel and tourism. These systems simplify trip planning by offering personalized recommendations that consider individual preferences and address broader challenges like seasonality, travel regulations, and capacity constraints. The intricacies of the tourism domain, characterized by multiple stakeholders, including consumers, item providers, platforms, and society, underscore the complexity of achieving balance among diverse interests. Although previous research has focused on fairness in Tourism Recommender Systems (TRS) from a multistakeholder perspective, limited work has focused on generating sustainable recommendations. Our paper introduces a novel approach for assigning a sustainability indicator (SF index) for city trips accessible from the users' starting point, integrating Co2e analysis, destination popularity, and seasonal demand. Our methodology involves comprehensive data gathering on transportation modes and emissions, complemented by analyses of destination popularity and seasonal demand. A user study validates our index, showcasing its practicality and efficacy in providing well-rounded and sustainable city trip recommendations. Our findings contribute significantly to the evolution of responsible tourism strategies, harmonizing the interests of tourists, local communities, and the environment while paving the way for future research in responsible and equitable tourism practices.

翻译：在信息过载与复杂决策过程的时代，推荐系统（RS）已成为跨领域（尤其是旅行与旅游）不可或缺的工具。这些系统通过提供考虑个人偏好并应对季节性、旅行规则及容量限制等更广泛挑战的个性化推荐，简化了旅行规划。旅游领域的复杂性，以消费者、商品提供者、平台及社会等多利益相关者为特征，凸显了平衡多元利益的难度。尽管先前研究从多利益相关者视角聚焦于旅游推荐系统（TRS）的公平性，但针对生成可持续推荐的工作仍有限。本文提出了一种新颖方法，用于为用户出发地可达的城市旅行分配可持续性指标（SF指数），该指标整合了CO2e分析、目的地受欢迎程度及季节性需求。我们的方法涉及对交通方式及排放数据的全面收集，并结合目的地受欢迎程度与季节性需求的分析。一项用户研究验证了该指标的实用性及有效性，展示了其在提供全面且可持续城市旅行推荐方面的潜力。我们的研究成果为负责任的旅游策略发展做出了重要贡献，在协调游客、当地社区及环境利益的同时，为未来关于负责任及公平旅游实践的研究铺平了道路。