Forecasting tourism demand using search query data: A hybrid modelling approach

Business & Economics

• Tourism Demand 100%
• Query 95%
• Modeling 50%
• Hybrid Model 44%
• Nonlinearity 39%
• Autoregressive Integrated Moving Average 18%
• Mainland China 16%
• Exogenous Variables 16%
• Artificial Neural Network 15%
• Predictive Power 14%
• Network Model 14%
• Tourists 13%
• Hong Kong 13%

Earth & Environmental Sciences

• tourism 77%
• forecasting 67%
• demand 56%
• modeling 36%
• nonlinearity 16%
• artificial neural network 7%
• forecast 6%

Social Sciences

• Tourism 73%
• demand 59%
• Powers of search 18%
• neural network 11%
• linear model 10%
• tourist 8%
• Hong Kong 7%
• China 5%