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Forecasting (aggregate) demand for US commercial air travel

Citations

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Cited by:

  1. Dobruszkes, Frédéric & Vandermotten, Christian, 2022. "Do scale and the type of markets matter? Revisiting the determinants of passenger air services worldwide," Journal of Air Transport Management, Elsevier, vol. 99(C).
  2. Beria, Paolo & Laurino, Antonio, 2016. "Determinants of daily fluctuations in air passenger volumes. The effect of events and holidays on Milan Malpensa airport," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 73-84.
  3. Boonekamp, Thijs & Zuidberg, Joost & Burghouwt, Guillaume, 2018. "Determinants of air travel demand: The role of low-cost carriers, ethnic links and aviation-dependent employment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 112(C), pages 18-28.
  4. Brüggemann, Ralf & Lütkepohl, Helmut, 2013. "Forecasting contemporaneous aggregates with stochastic aggregation weights," International Journal of Forecasting, Elsevier, vol. 29(1), pages 60-68.
  5. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
  6. Li, Yongling & Wang, Jiaoe & Huang, Jie & Chen, Zhuo, 2022. "Impact of COVID-19 on domestic air transportation in China," Transport Policy, Elsevier, vol. 122(C), pages 95-103.
  7. Dinis, Duarte & Barbosa-Póvoa, Ana & Teixeira, Ângelo Palos, 2022. "Enhancing capacity planning through forecasting: An integrated tool for maintenance of complex product systems," International Journal of Forecasting, Elsevier, vol. 38(1), pages 178-192.
  8. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
    • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
  9. Frédéric Dobruszkes & Christian Vandermotten, 2022. "Do scale and the type of markets matter? Revisiting the determinants of passenger air services worldwide," ULB Institutional Repository 2013/336304, ULB -- Universite Libre de Bruxelles.
  10. Raffaella Giacomini, 2015. "Economic theory and forecasting: lessons from the literature," Econometrics Journal, Royal Economic Society, vol. 18(2), pages 22-41, June.
  11. Angesh Anupam & Isah A. Lawal, 2024. "Forecasting air passenger travel: A case study of Norwegian aviation industry," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 661-672, April.
  12. Plakandaras, Vasilios & Papadimitriou, Theophilos & Gogas, Periklis, 2019. "Forecasting transportation demand for the U.S. market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 195-214.
  13. Lorde, Troy & Li, Gang & Airey, David, 2014. "Modeling Caribbean Tourism Demand: An Augmented Gravity Approach," MPRA Paper 95476, University Library of Munich, Germany.
  14. Andre Jungmittag, 2016. "Combination of Forecasts across Estimation Windows: An Application to Air Travel Demand," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(4), pages 373-380, July.
  15. Raffaella Giacomini, 2014. "Economic theory and forecasting: lessons from the literature," CeMMAP working papers 41/14, Institute for Fiscal Studies.
  16. Hofer, Christian & Kali, Raja & Mendez, Fabio, 2018. "Socio-economic mobility and air passenger demand in the U.S," Transportation Research Part A: Policy and Practice, Elsevier, vol. 112(C), pages 85-94.
  17. Hu, Yi & Xiao, Jin & Deng, Ying & Xiao, Yi & Wang, Shouyang, 2015. "Domestic air passenger traffic and economic growth in China: Evidence from heterogeneous panel models," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 95-100.
  18. Chung-Yean Chiang & Mark Hanna & Zhenyu Liu & Xiangyu Lu, 2018. "Obtaining collaboration benefits: the role of collaboration-specific investment and absorptive capacity in China," Operations Management Research, Springer, vol. 11(3), pages 69-82, December.
  19. Banerjee, Nilabhra & Morton, Alec & Akartunalı, Kerem, 2020. "Passenger demand forecasting in scheduled transportation," European Journal of Operational Research, Elsevier, vol. 286(3), pages 797-810.
  20. López, Ana M. & Flores, Mario A. & Sánchez, Juan I., 2017. "Modelos de series temporales aplicados a la predicción del tráfico aeroportuario español de pasajeros: Un enfoque agregado y desagregado/Forecasting of Spanish Passenger Air Traffic Based on Time Seri," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 35, pages 395-418, Mayo.
  21. Gelhausen, Marc C. & Berster, Peter & Wilken, Dieter, 2018. "A new direct demand model of long-term forecasting air passengers and air transport movements at German airports," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 140-152.
  22. Tirtha, Sudipta Dey & Bhowmik, Tanmoy & Eluru, Naveen, 2023. "Understanding the factors affecting airport level demand (arrivals and departures) using a novel modeling approach," Journal of Air Transport Management, Elsevier, vol. 106(C).
  23. Dantas, Tiago Mendes & Cyrino Oliveira, Fernando Luiz & Varela Repolho, Hugo Miguel, 2017. "Air transportation demand forecast through Bagging Holt Winters methods," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 116-123.
  24. Nieto, María Rosa & Carmona-Benítez, Rafael Bernardo, 2018. "ARIMA + GARCH + Bootstrap forecasting method applied to the airline industry," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 1-8.
  25. Ryazanov Vlas, 2013. "Air mobility of people and airport growth potential in regions of Russia," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 22(22), pages 97-110, December.
  26. Rafael Bernardo Carmona-Benítez & María Rosa Nieto, 2017. "Comparison of bootstrap estimation intervals to forecast arithmetic mean and median air passenger demand," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(7), pages 1211-1224, May.
  27. Yilmazkuday, Hakan, 2021. "Profit margins in U.S. domestic airline routes," Transport Policy, Elsevier, vol. 114(C), pages 245-251.
  28. Wang, Sen & Gao, Yi, 2021. "A literature review and citation analyses of air travel demand studies published between 2010 and 2020," Journal of Air Transport Management, Elsevier, vol. 97(C).
  29. Gunter, Ulrich & Zekan, Bozana, 2021. "Forecasting air passenger numbers with a GVAR model," Annals of Tourism Research, Elsevier, vol. 89(C).
  30. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
  31. Abdelghany, Ahmed & Guzhva, Vitaly S., 2022. "Exploratory analysis of air travel demand stimulation in first-time served markets," Journal of Air Transport Management, Elsevier, vol. 98(C).
  32. Kaukin, Andrey (Каукин, Андрей), 2018. "Diagnosis of the Growth Model of the Russian Air Transportation Market: Bottlenecks and Directions of Development [Диагностика Модели Роста Российского Рынка Авиаперевозок: Узкие Места И Направлени," Working Papers 061830, Russian Presidential Academy of National Economy and Public Administration.
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