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Ahmed Shoukry Rashad
Tourism plays an important economic role for many economies and after the COVID-19 pandemic, accurate tourism forecasting become critical for policymakers in tourism-dependent economies. This paper extends the growing literature on the use of internet se...
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João Paulo Teixeira and Ulrich Gunter
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Le Quyen Nguyen, Paula Odete Fernandes and João Paulo Teixeira
Vietnam has experienced a tourism expansion over the last decade, proving itself as one of the top tourist destinations in Southeast Asia. The country received more than 18 million international tourists in 2019, compared to only 1.5 million twenty-five ...
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El houssin Ouassou and Hafsa Taya
Tourism is one of the main sources of wealth for the Moroccan regions, since, in 2019, it contributed 7.1% to the total GDP. However, it is considered to be one of the sectors most vulnerable to exogenous shocks (political and social stability, currency ...
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Shun-Chieh Hsieh
The need for accurate tourism demand forecasting is widely recognized. The unreliability of traditional methods makes tourism demand forecasting still challenging. Using deep learning approaches, this study aims to adapt Long Short-Term Memory (LSTM), Bi...
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Ulrich Gunter, Irem Önder and Egon Smeral
This study, which was contracted by the European Commission and is geared towards easy replicability by practitioners, compares the accuracy of individual and combined approaches to forecasting tourism demand for the total European Union. The evaluation ...
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Marcos Álvarez-Díaz, Manuel González-Gómez and María Soledad Otero-Giráldez
This study explores the forecasting ability of two powerful non-linear computational methods: artificial neural networks and genetic programming. We use as a case of study the monthly international tourism demand in Spain, approximated by the number of t...
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Marcos Álvarez-Díaz, Manuel González-Gómez and María Soledad Otero-Giráldez
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Phan Van Thành DOI: 10.26459/jed.v113i14.3661
Pág. 157 - 167
Grey forecasting based on the grey system theory is a dynamic forecasting model and has been successfully applied in various fields. In recent years, many scholars have proposed new procedures or new models with different ways to improve the precision ac...
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Iulian Condratov,Pavel Stanciu
Pág. 234 - 244
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Yuruixian Zhang, Wei Chong Choo, Jen Sim Ho and Cheong Kin Wan
Tourism forecasting has garnered considerable interest. However, integrating tourism forecasting with volatility is significantly less typical. This study investigates the performance of both the single models and their combinations for forecasting the v...
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Apostolos Ampountolas
Overnight forecasting is a crucial challenge for revenue managers because of the uncertainty associated between demand and supply. However, there is limited research that focuses on predicting daily hotel demand. Hence, this paper evaluates various model...
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Natalia N. Koroteeva,Elnur L. Hasanov,Vladimir A. Mushrub,Elena N. Klochko,Vladimir V. Bakharev,Rustem A. Shichiyakh
Pág. 71 - 77
The transition to a market system of management in Russia has put a lot of tourism enterprises in a predicament when the competition forces them to look for new ways of survival, use of competitive advantages and provision competitiveness of tourism ente...
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Marius-Ionu? Gordan, Cosmin Alin Popescu, Jenica Calina, Tabita Cornelia Adamov, Camelia Maria Manescu and Tiberiu Iancu
Seasonal variations in the tourism industry consist of alternating patterns of overuse and underuse of touristic potential and resources, which correspond to overexertion in the peak periods and to reduced income levels in the trough periods. We analyze ...
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Marcelo Andrés Lucero Salamea,Gliceria Petrona Gómez Ceballos
COVID-19 has generated great economic losses to world tourism, among them, the hotel sector has been seriously affected, since as a result of the pandemic its activity has decreased significantly, a situation to which the city of Cuenca in Ecuador select...
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Aurora Skrame, Claudio Ciancio, Vincenzo Corvello and Roberto Musmanno
The purpose of this article is to develop a quantitative model that supports policy makers in the tourism sector in making socially responsible investment decisions. In particular, this paper proposes a methodological approach to assess the impact of str...
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Sandra Makumbirofa,Andrea Saayman
AbstractAs South Africa?s popularity as a tourist destination increases, the need for skilled human capital also increases. The study of skills development and human capital in all sectors of the economy has long been topical as a means to support organi...
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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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Xiwen Qin, Dongmei Yin, Xiaogang Dong, Dongxue Chen and Shuang Zhang
Passenger flow is an important benchmark for measuring tourism benefits, and accurate tourism passenger flow prediction is of great significance to the government and related tourism enterprises and can promote the sustainable development of China?s tour...
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