Book description
This book provides an updated, concise summary of forecasting air travel demand methodology. It looks at air travel demand forecasting research and attempts to outline the whole intellectual landscape of demand forecasting. It helps readers to understand the basic idea of TEI@I methodology used in forecasting air travel demand and how it is used in developing air travel demand forecasting methods. The book also discusses what to do when facing different forecasting problems making it a useful reference for business practitioners in the industry.
Table of contents
- 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
Product information
- Title: Forecasting Air Travel Demand
- Author(s):
- Release date: January 2018
- Publisher(s): Routledge
- ISBN: 9781351215480
You might also like
book
Demand-Driven Forecasting: A Structured Approach to Forecasting, 2nd Edition
An updated new edition of the comprehensive guide to better business forecasting Many companies still look …
book
Business Forecasting
A comprehensive collection of the field's most provocative, influential new work Business Forecasting compiles some of …
book
Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, …
book
Advances in Financial Machine Learning
Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks …