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Data source combination for tourism demand forecasting
16 references·6 citing·46 second hop
Data source combination for tourism demand forecasting (2019)Data source combination for tourism deman…Tourism demand forecasting: A deep learning approach (2019)Tourism demand forecasting: A…A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting (2019)A review of research on touri…New developments in tourism and hotel demand modeling and forecasting (2017)New developments in tourism a…Forecasting tourism demand with composite search index (2016)Forecasting tourism demand wi…Forecasting Chinese tourist volume with search engine data (2014)Forecasting Chinese tourist v…Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach (2014)Can Google data improve the f…Forecasting abnormal stock returns and trading volume using investor sentiment: Evidence from online search (2011)Forecasting abnormal stock re…Tourism demand modelling and forecasting—A review of recent research (2007)Tourism demand modelling and …Support vector regression with genetic algorithms in forecasting tourism demand (2006)Support vector regression wit…Recent Developments in Econometric Modeling and Forecasting (2005)Recent Developments in Econom…Designing an artificial neural network for forecasting tourism time series (2005)Designing an artificial neura…Impact of Climate on Tourist Demand (2002)Impact of Climate on Tourist …Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting (2000)Back-propagation learning in …A neural network model to forecast Japanese demand for travel to Hong Kong (1999)A neural network model to for…Testing for the 'Existence of a Long-run Relationship' (1996)Testing for the 'Existence of…Time Series Analysis Forecasting and Control (1971)Time Series Analysis Forecast…Leveraging online reviews for hotel demand forecasting: A deep learning approach (2023)Leveraging online reviews for…Forecasting hourly attraction tourist volume with search engine and social media data for decision support (2023)Forecasting hourly attraction…Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19 (2022)Interpretable tourism demand …Forecasting daily attraction demand using big data from search engines and social media (2021)Forecasting daily attraction …Are customer reviews just reviews? Hotel forecasting using sentiment analysis (2021)Are customer reviews just rev…A novel two-step procedure for tourism demand forecasting (2020)A novel two-step procedure fo…Common risk factors in the returns on stocks and bonds (1993)On Persistence in Mutual Fund Performance (1997)Investor Sentiment and the Cross‐Section of Stock Returns (2006)The impact of sentiment and attention measures on stock market volatility (2019)Predicting stock returns in the presence of COVID-19 pandemic: The role of health news (2020)Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Forecasting Economic Time Series (2000)Social Media in Tourism and Hospitality: A Literature Review (2013)Progress and prospects for event tourism research (2015)Big data in tourism research: A literature review (2018)Application of support vector machines in financial time series forecasting (2001)Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention (2002)A meta-analysis of international tourism demand forecasting and implications for practice (2014)Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm (2014)The impact of financial development on carbon emissions: An empirical analysis in China (2011)Predicting the Present with Google Trends (2012)A Big Data Analytics Method for Tourist Behaviour Analysis (2016)Forecasting tourist arrivals with machine learning and internet search index (2018)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Statistical analysis of cointegration vectors (1988)Tourism supply chain management: A new research agenda (2009)Tourism economics research: A review and assessment (2012)American Economic Review (2019)Modern factor analysis (1960)Modern Factor Analysis (1968)Forecasting tourism demand: A review of empirical research (1995)Defining and Experiencing Dangerous Climate Change (2004)Climate change adaptation in the ski industry (2006)Weather and Climate Information for Tourism (2010)Time Series Analysis: Forecasting and Control. (1978)Time series analysis forecasting and control (2009)Bayesian BILSTM approach for tourism demand forecasting (2020)Forecasting tourism demand with multisource big data (2020)The good, the bad and the ugly on COVID-19 tourism recovery (2020)An Almost Ideal Demand System (1980)Forecasting with artificial neural networks: (1998)Review of tourism forecasting research with internet data (2020)Tourism Demand and the COVID-19 Pandemic: An LSTM Approach (2020)Forecasting tourism recovery amid COVID-19 (2021)Structural Analysis of Cointegrating VARs (1998)Evidence from panel unit root and cointegration tests that the Environmental Kuznets Curve does not exist (2003)Impacts of urbanization on carbon emissions: An empirical analysis from OECD countries (2021)Political Parties and Macroeconomic Policy (1977)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Seasonal integration and cointegration (1990)
this work references cited by second hop

References

  • 1971Time Series Analysis Forecasting and Control1,792 cited
  • 2007Tourism demand modelling and forecasting—A review of recent research1,419 cited
  • 1996Testing for the 'Existence of a Long-run Relationship'573 cited
  • 2019A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting526 cited
  • 2005Recent Developments in Econometric Modeling and Forecasting524 cited
  • 2019Tourism demand forecasting: A deep learning approach451 cited
  • 2014Forecasting Chinese tourist volume with search engine data432 cited
  • 2002Impact of Climate on Tourist Demand417 cited
  • 2006Support vector regression with genetic algorithms in forecasting tourism demand378 cited
  • 2011Forecasting abnormal stock returns and trading volume using investor sentiment: Evidence from online search377 cited
  • 2016Forecasting tourism demand with composite search index369 cited
  • 2000Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting344 cited
  • 2014Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach331 cited
  • 2017New developments in tourism and hotel demand modeling and forecasting313 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

1999
A neural network model to forecast Japanese demand for travel to Hong Kong
309 cited
  • 2005Designing an artificial neural network for forecasting tourism time series286 cited
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    • 2023Forecasting hourly attraction tourist volume with search engine and social media data for decision support49 cited
    • 2020A novel two-step procedure for tourism demand forecasting48 cited
    • 2022Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-1947 cited