Systematic review of passenger demand forecasting in aviation industry
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15552-1.pdf
Reference119 articles.
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2. Addepalli S, Pagalday G, Salonitis K, Roy R (2018) Socio-economic and demographic factors that contribute to the growth of the civil aviation industry. Procedia Manuf 19:2–9. https://doi.org/10.1016/j.promfg.2018.01.002
3. Ahmed NK, Atiya AF, El Gayar N, El-Shishiny H (2010) An empirical comparison of machine learning models for time series forecasting. Aust Econ Rev 29(5):594–621. https://doi.org/10.1080/07474938.2010.481556
4. Airports Comission (2013) “Discussion Paper 01 : Aviation Demand Forecasting,” no. February, pp. 1–34
5. Akinyemi YC (2019) Determinants of domestic air travel demand in Nigeria: cointegration and causality analysis. GeoJournal 84(5):1239–1256. https://doi.org/10.1007/s10708-018-9918-8
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