A machine learning approach to itinerary-level booking prediction in competitive airline markets
Year of publication: |
2021
|
---|---|
Authors: | Hopman, Daniel ; Koole, Ger M. ; Mei, R. D. van der |
Published in: |
International journal of revenue management : IJRM. - Olney, Bucks : Inderscience Enterprises, ISSN 1741-8186, ZDB-ID 2260557-5. - Vol. 12.2021, 3/4, p. 153-191
|
Subject: | demand forecasting | effects of competition | traditional statistics | machine learning | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Luftverkehr | Air transport | Nachfrage | Demand | Wettbewerb | Competition | Fluggesellschaft | Airline | Prognose | Forecast |
-
Using forecasting to evaluate the impact of COVID-19 on passenger air transport demand
Li, Xishu, (2023)
-
Demand forecasting for fashion products : a systematic review
Swaminathan, Kritika, (2024)
-
Real-time demand forecasting for an urban delivery platform
Hess, Alexander, (2021)
- More ...
-
Single-leg revenue management with downsell and delayed decision making
Hopman, Daniel, (2017)
-
Hopman, Daniel, (2022)
-
On the estimation of the true demand in call centers with redials and reconnects
Ding, Sihan, (2015)
- More ...