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In addition, methods that are not regression or time-series based have very limited application in this area so far, so are the non-convention data such as mobility data or social media data. A common limitation of existing literature is that very few reviewed studies provide validation of their analyses.

A small number of references are frequently cited by the reviewed studies primarily because of their methodological contribution to time-series analysis. These studies are mostly applying existing analytical frameworks to specific problems rather than developing original methods, therefore their relationship to each other is parallel rather than sequential. Our review finds that a typical empirical study of air travel demand analysis would focus on the demand at the national level, employ time-series data concerning socio-economic and airline operational factors and use time-series based methods to estimate the relationship among the selected time-series. We also devise and conduct three citation analyses to further explore the relationships among the reviewed studies. This article reviews 87 air travel demand studies published from 2010 to 2020 and summarizes these studies using their input data and primary analytical methods. Therefore, identifying contributing factors and understanding the effect of these factors in causing the variation of air travel demand have been one of the key focus areas in air transportation research. The originality of the paper comes from the facts that besides distance and number of passengers, the authors control for the seasonality when assessing the effects of flight delay on revenue they use panel data techniques, which permit them to control for individual heterogeneity, and create more variability, more efficiency and less collinearity among the variables they use two recent panel data techniques, CCEMG and AMG, allowing for cross-section dependence.Īccurate forecasting of air travel demand is vital for the resource planning of the air transportation industry. These findings could be evaluated by air transportation leaders to provide a guide to make strategic decisions to achieve greater performance in this competitive environment.

The data used in this study were retrieved from a Turkish airline company for future research, other airline companies operating in Turkey may be included. The results show that arrival flight delay and departure flight delay had negative effects on revenue, whereas the distance between airports, the number of air passengers and seasonality had positive effects on revenue. The augmented mean group (AMG) estimator and common correlated effects mean group (CCEMG) estimator were conducted with a two-way fixed effects (FE) robustness test in this study. Among five cities and six airports, 14 major domestic return routes were selected. The domestic return routes of a Turkish airline company were examined to address this issue. This study aims to investigate the effects of flight delays, distance, number of passengers and seasonality on revenue in the Turkish air transport industry. Therefore, our results support the idea that substituting additional baggage fees for higher fares may be a beneficial strategy for carriers in terms of generating revenues and maintaining market share. Interestingly, an equivalent increase of $1 in fares results in a much greater decline in passengers (eight times greater). Our results show that, on an average route, a $1 increase in baggage fee leads to a loss of 0.7 passengers and is associated with a $0.11 reduction in fare levels.

A system of simultaneous equations is estimated. We study a sample of US domestic routes over the period 2007–2010 where passengers have a choice between carriers that charge fees for checked baggage and Southwest Airlines, which allows passengers one or two “free” checked bags.

This paper assesses the impact of baggage fees on passenger demand and airline fares. Among these, checked baggage fees now represent a significant source of airline revenues. As a result, the carriers have implemented a variety of fees on a range of optional services. In recent years, US airlines have unbundled ancillary fees from base air fares.