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Using forecasting to evaluate the impact of COVID‐19 on passenger air transport demand

  • Published:2021-10-17 Issue: Volume: Page:
  • ISSN:0011-7315
  • Container-title:Decision Sciences
  • language:en
  • Short-container-title:Decision Sciences

Author:

Li Xishu1ORCID,de Groot Maurits1,Bäck Thomas1

Affiliation:

1. Leiden Institute of Advanced Computer Science Leiden University Leiden CA Netherlands

Publisher

Wiley

Subject

Management of Technology and Innovation,Information Systems and Management,Strategy and Management,General Business, Management and Accounting

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Havayolu İşletmelerinde Yolcu Memnuniyetinin LOPCOW-AROMAN Modeliyle Analizi: Star Alliance Stratejik Ortaklığı Uygulaması;Dumlupınar Üniversitesi Sosyal Bilimler Dergisi;2024-07-26

2. Sustainability with Limited Data: A Novel Predictive Analytics Approach for Forecasting CO2 Emissions;Information Systems Frontiers;2024-07-23

3. Analyzing Machine Learning Techniques for Air Passenger Numbers Forecasting;2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE);2024-06-19

4. Assessing geographical differences of the COVID-19 impact on fuel consumption: the case of Italy;Letters in Spatial and Resource Sciences;2023-10-25

5. Service-oriented container slot allocation policy under stochastic demand;Transportation Research Part B: Methodological;2023-10
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