Tourism forecasting: A review of methodological developments over the last decade
This study reviewed 72 studies in tourism demand forecasting during the period from 2008
to 2017. Forecasting models are reviewed in three categories: econometric, time series and …
to 2017. Forecasting models are reviewed in three categories: econometric, time series and …
A meta-analysis of hotel revenue management
This meta-analysis scrutinized 76 peer-reviewed articles regarding hotel revenue
management published from 2013 to 2019. The main topics explored were pricing strategy …
management published from 2013 to 2019. The main topics explored were pricing strategy …
Group pooling for deep tourism demand forecasting
Advances in tourism demand forecasting immensely benefit tourism and other sectors, such
as economic and resource management studies. However, even for novel AI-based …
as economic and resource management studies. However, even for novel AI-based …
Analyzing and forecasting tourism demand in Vietnam with artificial neural networks
LQ Nguyen, PO Fernandes, JP Teixeira - Forecasting, 2021 - mdpi.com
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 …
the top tourist destinations in Southeast Asia. The country received more than 18 million …
LSTM-based deep learning models for long-term tourism demand forecasting
A Salamanis, G Xanthopoulou, D Kehagias… - Electronics, 2022 - mdpi.com
Tourism demand forecasting comprises an important task within the overall tourism demand
management process since it enables informed decision making that may increase revenue …
management process since it enables informed decision making that may increase revenue …
Forecasting daily foot traffic in recreational trails using machine learning
K Madden, G Lukoseviciute, E Ramsey… - Journal of Outdoor …, 2023 - Elsevier
This paper discusses weather factors that may affect the level of visitation at recreational
walking trails and provides insights into how specific factors (wind, rain etc.) can influence …
walking trails and provides insights into how specific factors (wind, rain etc.) can influence …
Modeling a combined forecast algorithm based on sequence patterns and near characteristics: An application for tourism demand forecasting
W Jun, L Yuyan, T Lingyu, G Peng - Chaos, Solitons & Fractals, 2018 - Elsevier
Tourism demand forecasting is essential for forward tourism planning. To develop
appropriate public policies and ensure sound business investment decisions, both …
appropriate public policies and ensure sound business investment decisions, both …
Statistical modeling and prediction for tourism economy using dendritic neural network
With the impact of global internationalization, tourism economy has also been a rapid
development. The increasing interest aroused by more advanced forecasting methods leads …
development. The increasing interest aroused by more advanced forecasting methods leads …
Sustainable determinants that affect tourist arrival forecasting
This study considers diversification effects and significant influences on tourist arrivals as a
vital export direction. Different quantitative methods, namely a cointegrated-autoregressive …
vital export direction. Different quantitative methods, namely a cointegrated-autoregressive …
Artificial neural network for Indonesian tourism demand forecasting
A Alamsyah, PBA Friscintia - 2019 7th International …, 2019 - ieeexplore.ieee.org
Tourism industry shows a positive growth and uphold an important role in national economy
as the second largest portion of foreign exchange contributor, as well as its role in national …
as the second largest portion of foreign exchange contributor, as well as its role in national …