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Improving multi-step ahead tourism demand forecasting: A strategy-driven approach
16 references·2 citing·47 second hop
Improving multi-step ahead tourism demand forecasting: A strategy-driven approach (2022)Improving multi-step ahead tourism demand…Forecasting tourism demand with multisource big data (2020)Forecasting tourism demand wi…Bayesian BILSTM approach for tourism demand forecasting (2020)Bayesian BILSTM approach for …Tourism demand forecasting: A deep learning approach (2019)Tourism demand forecasting: A…Forecasting tourism demand with composite search index (2016)Forecasting tourism demand wi…Forecasting Destination Weekly Hotel Occupancy with Big Data (2016)Forecasting Destination Weekl…Forecasting city arrivals with Google Analytics (2016)Forecasting city arrivals wit…Predicting Hotel Demand Using Destination Marketing Organization’s Web Traffic Data (2013)Predicting Hotel Demand Using…A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition (2012)A review and comparison of st…Forecasting tourism demand with ARMA-based methods (2008)Forecasting tourism demand wi…Inbound international tourism to Canary Islands: a dynamic panel data model (2005)Inbound international tourism…Time series forecasts of international travel demand for Australia (2002)Time series forecasts of inte…Cointegration versus least squares regression (2001)Cointegration versus least sq…A practitioners guide to time-series methods for tourism demand forecasting — a case study of Durban, South Africa (2001)A practitioners guide to time…Comparing Predictive Accuracy (1995)Comparing Predictive AccuracyBook Review: Time Series Analysis: Forecasting and Control (1977)Book Review: Time Series Anal…Prediction by Exponentially Weighted Moving Averages and Related Methods (1961)Prediction by Exponentially W…Multi-step carbon emissions forecasting model for industrial process based on a new strategy and machine learning methods (2024)Multi-step carbon emissions f…Enhancing deep learning for demand forecasting to address large data gaps (2024)Enhancing deep learning for d…Applied Economic Forecasting (1967)Seasonal integration and cointegration (1990)Determinants of Tourist Arrivals in Africa: A Panel Data Regression Analysis (2005)Tourism demand modelling and forecasting—A review of recent research (2007)Forecasting tourism recovery amid COVID-19 (2021)Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations (1991)Analysis of Panel Data (2003)Tourism in the Balearic Islands: A dynamic model for international demand using panel data (2006)A Meta-Analysis of International Tourism Demand Elasticities (2014)ICT, infrastructure, and tourism development in Africa (2019)Econometric Analysis of Panel Data (2021)The Combination of Forecasts (1969)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Forecasting with artificial neural networks: (1998)Time series forecasting of petroleum production using deep LSTM recurrent networks (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Forecasting: theory and practice (2022)Forecasting the U.S. Unemployment Rate (1998)A neural network model to forecast Japanese demand for travel to Hong Kong (1999)Forecasting tourism demand based on empirical mode decomposition and neural network (2011)The interactive effects of online reviews on the determinants of Swiss hotel performance: A neural network analysis (2015)In Search of Attention (2011)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Big data: a revolution that will transform how we live, work, and think (2013)Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index (2018)Progress in information technology and tourism management: 30 years on and 20 years after the internet - Revisiting Buhalis & Law's landmark study about eTourism (2018)Time Series Analysis: Forecasting and Control. 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References

  • 1977Book Review: Time Series Analysis: Forecasting and Control19,399 cited
  • 1995Comparing Predictive Accuracy5,370 cited
  • 2012A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition745 cited
  • 2019Tourism demand forecasting: A deep learning approach451 cited
  • 2016Forecasting tourism demand with composite search index369 cited
  • 2002Time series forecasts of international travel demand for Australia279 cited
  • 2005Inbound international tourism to Canary Islands: a dynamic panel data model270 cited
  • 1961Prediction by Exponentially Weighted Moving Averages and Related Methods263 cited
  • 2020Forecasting tourism demand with multisource big data260 cited
  • 2001A practitioners guide to time-series methods for tourism demand forecasting — a case study of Durban, South Africa250 cited
  • 2020Bayesian BILSTM approach for tourism demand forecasting235 cited
  • 2013Predicting Hotel Demand Using Destination Marketing Organization’s Web Traffic Data234 cited
  • 2016Forecasting Destination Weekly Hotel Occupancy with Big Data229 cited
  • 2001Cointegration versus least squares regression224 cited
  • 2008Forecasting tourism demand with ARMA-based methods

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208 cited
  • 2016Forecasting city arrivals with Google Analytics187 cited
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    • 2024Enhancing deep learning for demand forecasting to address large data gaps25 cited
    • 2024Multi-step carbon emissions forecasting model for industrial process based on a new strategy and machine learning methods24 cited