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by Yafei Zheng, Kin Keung Lai, Shouyang Wang
Forecasting Air Travel Demand
Cover
Title
Copyright
Contents
List of figures
List of tables
Acknowledgments
1 Introduction
2 Existing research
3 Theoretical basis – TEI@I methodology
4 A scientometric analysis of demand forecasting (1975–2015): a visual description
5 An integrated short-term forecasting framework with empirical mode decomposition method
6 A novel seasonal decomposition-based short-term forecasting framework with Google Trends data
7 A medium-term demand forecasting method based on stochastic frontier analysis and model average
8 Long-term air travel demand forecasting: an integrated method with ARDL bounds testing approach and scenario planning
9 Conclusions and future research
Appendices
Index
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List of figures
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Acknowledgments
Tables
3.1
The basic idea of the text abstract generation algorithm
3.2
Common categories of econometrical models
4.1
The frequency for main disciplines in demand forecasting research
4.2
The top 10 most cited articles in demand forecasting literature
4.3
The top 10 most average citations per year
4.4
The top 13 clusters by their size
4.5
Cited references with the highest betweenness centrality
4.6
The most cited articles in demand forecasting research
5.1
Outlier detection results
5.2
Estimation results for linear model
5.3
Forecasting performance comparison
6.1
Selected models with the minimal AIC
6.2
Forecasting performance comparison
6.3
Forecasting performance comparison results
6.4
Forecasting vs. nowcasting
6.5
The estimated results of MIDAS
7.1
Summary of variables
7.2
The estimation results of a multiple regression model
7.3
The main SFA models and corresponding estimated coefficients
7.4
Performance comparison
8.1
Summary of variables
8.2
Summary of unit root test
8.3
Bounds test for cointegration relationship
8.4
ARDL model specifications
8.5
Estimated parameters of logistic curve fitting
8.6
Matrix of transition probability
8.7
Long-term forecasts under different scenarios
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