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Joaquim Miguel, Pedro Mendonça, Agnelo Quelhas, João M. L. P. Caldeira and Vasco N. G. J. Soares
Hiking and cycling have become popular activities for promoting well-being and physical activity. Portugal has been investing in hiking and cycling trail infrastructures to boost sustainable tourism. However, the lack of reliable data on the use of these...
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Filipa Campos, Conceição Gomes, Cátia Malheiros and Luís Lima Santos
Environmental aspects are considered a specific process that requires a multidisciplinary analysis, as the application of indicators in organizations stems from effective performance management; the tourism sector is no exception. In 2015, the United Nat...
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Deepanjal Shrestha, Tan Wenan, Deepmala Shrestha, Neesha Rajkarnikar and Seung-Ryul Jeong
This study introduces a data-driven and machine-learning approach to design a personalized tourist recommendation system for Nepal. It examines key tourist attributes, such as demographics, behaviors, preferences, and satisfaction, to develop four sub-mo...
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Mohamed Ahmed, Nadir Aliane, Nourredine Khababa, Maha Y. K. Abdou and Mohamed Fathy Agina
This research aims to examine the mediating effects of eco-innovation practices in the relationship between the drivers of eco-innovation and the performance of tourism and hospitality enterprises. A quantitative approach was adopted in this research usi...
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Eduardo Ortega, Gabriela Pedro Gomes, Neuza Ribeiro and Daniel Roque Gomes
The tourism industry has been distinguishing itself by promoting economic benefits and contributing to the creation of employment and opportunities in the country. This paper aims to investigate and analyze the impact of symmetric internal communication ...
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Yue Hu, Zhixiang Fang, Xinyan Zou, Haoyu Zhong and Lubin Wang
Tourism activities essentially represent the interaction between crowds and attractions. Thus, crowd dynamics are critical to the quality of the tourism experience in personalized tour recommendations. In order to generate dynamic, personalized tour rout...
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Gabriela Emiliana de Melo e Costa, Frederico Carlos M. de Menezes Filho, Fausto A. Canales, Maria Clara Fava, Abderraman R. Amorim Brandão and Rafael Pedrollo de Paes
Stochastic modeling to forecast hydrological variables under changing climatic conditions is essential for water resource management and adaptation planning. This study explores the applicability of stochastic models, specifically SARIMA and SARIMAX, to ...
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Ming Lu and Qian Xie
Forecasting tourism volume can provide helpful information support for decision-making in managing tourist attractions. However, existing studies have focused on the long-term and large-scale prediction and scarcely considered high-frequency and micro-sc...
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Georgios Chalkiadakis, Ioannis Ziogas, Michail Koutsmanis, Errikos Streviniotis, Costas Panagiotakis and Harris Papadakis
In this paper, we develop a novel hybrid recommender system for the tourism domain, which combines (a) a Bayesian preferences elicitation component which operates by asking the user to rate generic images (corresponding to generic types of POIs) in order...
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Alireza Alaei, Ying Wang, Vinh Bui and Bela Stantic
Social media have been a valuable data source for studying people?s opinions, intentions, and behaviours. Such a data source incorporating advanced big data analysis methods, such as machine-operated emotion and sentiment analysis, will open unprecedente...
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