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Tourism affects not only the tourism industry but also society and stakeholders such as the environment, local businesses, and residents. Tourism Recommender Systems (TRS) can be pivotal in promoting sustainable tourism by guiding travelers…

Information Retrieval · Computer Science 2025-01-10 Ashmi Banerjee , Tunar Mahmudov , Emil Adler , Fitri Nur Aisyah , Wolfgang Wörndl

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,…

Human-Computer Interaction · Computer Science 2025-10-31 Ashmi Banerjee , Melih Mert Aksoy , Wolfgang Wörndl

Travel Recommender Systems TRSs have been proposed to ease the burden of choice in the travel domain by providing valuable suggestions based on user preferences Despite the broad similarities in functionalities and data provided by TRSs…

Software Engineering · Computer Science 2024-07-17 Rickson Simioni Pereira , Claudio Di Sipio , Martina De Sanctis , Ludovico Iovino

Human behavioral patterns and consumption paradigms have emerged as pivotal determinants in environmental degradation and climate change, with quotidian decisions pertaining to transportation, energy utilization, and resource consumption…

Information Retrieval · Computer Science 2024-11-13 Xin Zhou , Lei Zhang , Honglei Zhang , Yixin Zhang , Xiaoxiong Zhang , Jie Zhang , Zhiqi Shen

Tourism consumption has grown into a major economic factor for modern societies. However, the environmental impact of tourism has become a significant concern, leading to an increased focus on sustainable tourism policies. While governments…

Physics and Society · Physics 2024-04-16 Riccardo Gianluigi Serio , Maria Michela Dickson , Thomas de Graaff , Eric H. Pels

Tourism favors more economic activities, employment, revenues and plays a significant role in development; thus, the improvement of this activity is a strategic task. In this work, we show how social sensing can be used to understand the…

Social and Information Networks · Computer Science 2020-05-20 Ana P G Ferreira , Thiago H Silva , Antonio A F Loureiro

Public transport networks(PTNs)are difficult to use when the user is unfamiliar with the area they are traveling to.This is true for both infrequent users(including visitors)and regular users who need to travel to areas with which they are…

Computers and Society · Computer Science 2014-07-02 Mr. Pradip Suresh Mane , Vaishali D. Khairnar

Studying human factors has gained a lot of interest in recommender systems research recently. User experience plays a vital role in tourism recommender systems since user satisfaction is the main factor that guarantees the success of such…

Information Retrieval · Computer Science 2023-02-21 Asal Nesar Noubari , Wolfgang Wörndl

Bikesharing has gradually become one adopted sustainable transportation mode recent years to bring us many social, environmental, economic, and health-related benefits and rewards. There is increased research toward better understanding of…

Physics and Society · Physics 2019-01-09 Xiao-Feng Xie , Zunjing Jenipher Wang

Tourism has emerged as a significant driver of the global economy. As its economic impact grows, concerns regarding environmental sustainability have intensified. This paper explores the dual dimensions of sustainable tourism: the…

Applications · Statistics 2025-04-04 Riccardo Gianluigi Serio , Maria Michela Dickson , Giuseppe Espa , Rocco Micciolo

Traditional conversational travel recommender systems primarily optimize for user relevance and convenience, often reinforcing popular, overcrowded destinations and carbon-intensive travel choices. To address this, we present TRACE (Tourism…

Information Retrieval · Computer Science 2026-04-17 Ashmi Banerjee , Adithi Satish , Wolfgang Wörndl , Yashar Deldjoo

Recommender systems play an important role in supporting the achievement of the United Nations sustainable development goals (SDGs). In recommender systems, explanations can support different goals, such as increasing a user's trust in a…

Information Retrieval · Computer Science 2024-10-01 Thi Ngoc Trang Tran , Seda Polat Erdeniz , Alexander Felfernig , Sebastian Lubos , Merfat El-Mansi , Viet-Man Le

In recent years, the persuasive interventions for inducing sustainable urban mobility behaviours has become a very active research field. This review paper systematically analyses existing approaches and prototype systems and describes and…

Human-Computer Interaction · Computer Science 2016-04-21 Evangelia Anagnostopoulou , Efthimios Bothos , Babis Magoutas , Johann Schrammel , Gregoris Mentzas

In urban transportation environments, drivers often encounter various path (route) options when navigating to their destinations. This emphasizes the importance of navigational recommendation systems (NRS), which simplify decision-making…

Computer Science and Game Theory · Computer Science 2024-09-04 Ya-Ting Yang , Haozhe Lei , Quanyan Zhu

The collection of spatiotemporal tourism information is important in smart tourism and user-generated contents are perceived as reliable information. Participatory sensing is a useful method for collecting such data, and the active…

Human-Computer Interaction · Computer Science 2021-05-26 Shogo Kawanaka , Juliana Miehle , Yuki Matsuda , Hirohiko Suwa , Keiichi Yasumoto , Wolfgang Minker

Understanding the variability of people's travel patterns is key to transport planning and policy-making. However, to what extent daily transit use displays geographic and temporal variabilities, and what are the contributing factors have…

Computers and Society · Computer Science 2024-03-12 Sui Tao , Francisco Rowe , Hongyu Shan

With the digitization of travel industry, it is more and more important to understand users from their online behaviors. However, online travel industry data are more challenging to analyze due to extra sparseness, dispersed user history…

Information Retrieval · Computer Science 2021-02-19 Hongliu Cao , Eoin Thomas

Demand for sustainable mobility is particularly high in urban areas. Hence, there is a growing need to predict when people will decide to use different travel modes with an emphasis on environmentally friendly travel modes. As travel mode…

Computers and Society · Computer Science 2024-07-18 Maciej Grzenda , Marcin Luckner , Jakub Zawieska , Przemysław Wrona

Eco-driving emerges as a cost-effective and efficient strategy to mitigate greenhouse gas emissions in urban transportation networks. Acknowledging the persuasive influence of incentives in shaping driver behavior, this paper presents the…

Systems and Control · Electrical Eng. & Systems 2024-05-20 M. Umar B. Niazi , Jung-Hoon Cho , Munther A. Dahleh , Roy Dong , Cathy Wu
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