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Roberto Campos Troncoso,Paola inés Escalona Sepulveda
The impact of Covid-19 on economic activity was pervasive throughout 2020, with the tourism sector experiencing a notable decline in its level of activity. The primary objective of this research is to identify the variables that influenced the sales of c...
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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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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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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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George-Cornel Dumitrescu, Simona Moagar Poladian and Alina-Cerasela Aluculesei
The present paper examines the evolution of Romanian seaside tourism between 2008?2018 to find the connection between climate change and the number of total tourist arrivals. The vicious cycle of greenhouse gas emissions and climate change has become one...
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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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Delson Chikobvu,Tendai Makoni
AbstractOrientation: Modelling of international tourist arrivals? volatility is vital for marketing, planning, policy formulation and investment purposes among others. Symmetric and asymmetric tourism volatility models for years 2000?2017 were fitte...
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Xiaowei Xu, Daxin Dong, Yilun Wang and Shiying Wang
Previous studies have reported that air pollution negatively affects the tourism industry. This paper attempted to answer the following question: among different air pollutants, which one acts as the most adverse factor? The study was based on a sample o...
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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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A. Rafidah,A. Shabri
Time series modelling and forecasting has fundamental importance to various practical domains. Thus, a lot of active research works is going on in this subject during several years. Many important models have been proposed in literature for improving the...
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