Skip to main content
Taylor & Francis Group Logo
    Advanced Search

    Click here to search products using title name,author name and keywords.

    • Login
    • Hi, User  
      • Your Account
      • Logout
      Advanced Search

      Click here to search products using title name,author name and keywords.

      Breadcrumbs Section. Click here to navigate to respective pages.

      Book

      Forecasting Air Travel Demand
      loading

      Book

      Forecasting Air Travel Demand

      DOI link for Forecasting Air Travel Demand

      Forecasting Air Travel Demand book

      Looking at China

      Forecasting Air Travel Demand

      DOI link for Forecasting Air Travel Demand

      Forecasting Air Travel Demand book

      Looking at China
      ByYafei Zheng, Kin Keung Lai, Shouyang Wang
      Edition 1st Edition
      First Published 2018
      eBook Published 19 January 2018
      Pub. Location London
      Imprint Routledge
      DOI https://doi.org/10.4324/9781351215503
      Pages 166
      eBook ISBN 9781351215503
      Subjects Economics, Finance, Business & Industry, Engineering & Technology
      Share
      Share

      Get Citation

      Zheng, Y., Lai, K.K., & Wang, S. (2018). Forecasting Air Travel Demand: Looking at China (1st ed.). Routledge. https://doi.org/10.4324/9781351215503

      ABSTRACT

      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 [email protected] 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

      chapter 1|9 pages

      Introduction

      chapter 2|24 pages

      Existing research

      chapter 3|32 pages

      Theoretical basis – [email protected] methodology

      chapter 4|16 pages

      A scientometric analysis of demand forecasting (1975–2015)

      A visual description

      chapter 5|12 pages

      An integrated short-term forecasting framework with empirical mode decomposition method

      chapter 6|16 pages

      A novel seasonal decomposition-based short-term forecasting framework with Google Trends data

      chapter 7|14 pages

      A medium-term demand forecasting method based on stochastic frontier analysis and model average

      chapter 8|19 pages

      Long-term air travel demand forecasting

      An integrated method with ARDL bounds testing approach and scenario planning

      chapter 9|3 pages

      Conclusions and future research

      T&F logoTaylor & Francis Group logo
      • Policies
        • Privacy Policy
        • Terms & Conditions
        • Cookie Policy
        • Privacy Policy
        • Terms & Conditions
        • Cookie Policy
      • Journals
        • Taylor & Francis Online
        • CogentOA
        • Taylor & Francis Online
        • CogentOA
      • Corporate
        • Taylor & Francis Group
        • Taylor & Francis Group
        • Taylor & Francis Group
        • Taylor & Francis Group
      • Help & Contact
        • Students/Researchers
        • Librarians/Institutions
        • Students/Researchers
        • Librarians/Institutions
      • Connect with us

      Connect with us

      Registered in England & Wales No. 3099067
      5 Howick Place | London | SW1P 1WG © 2022 Informa UK Limited