Modeling joint airport and route choice behavior for international and metropolitan airports

Passenger Choice Behavior between Direct and Transit Flights—A Case Study on Passengers Using Hub Airports in the Northeast Asian Region

“…This confirmed that, as a means of improving airport route competitiveness, passenger route choice behavior modeling could help airport authority managers and airline operators develop more effective strategies [6]. MNL and NL models were estimated, and the results of route choice behavior model indicated that airfare, flight times and existence of direct flights significantly affected choice probabilities.…”

“…Airport operators are offering discounts on airport charges, encouraging airlines to select these airports as destinations or hub airports in line with the open skies policy [5]. However, airline operators need to understand how and why passengers are sensitive to routes when developing marketing strategies related to fares or flight frequency [6]. Air travel route models determine the factors that influence airline market leadership at the route level and support carrier decision-making.…”

“…They choose routes depending on factors such as ticket price, flight time and frequency, but they also consider wait times at hubs when transferring between flights [10]. Airfare and flight times are both significantly important variables for route selection [6]. The high prices that some airlines are able to charge on specific routes may not be applicable to other carriers serving the same route [11].…”

Homogeneous service with heterogeneous products: Relationships among airline ticket fares and purchase fences

“…First of all, variables related to airlines such as flight frequency, frequent flyer program, aircraft type, punctuality, check-in service, ground service, airline brand, fairness, access time, online reviews, baggage fees, and safety information are commonly regarded as important variables (Garrow et al, 2007;Hess et al, 2007;Teichert et al, 2008;Wen et al, 2009;Wen and Lai, 2010;Mathies et al, 2013;Gao and Koo, 2014;Yang et al, 2014;Jung and Yoo, 2014;Koo et al, 2015;Scotti and Dresner, 2015). Other works focus on the features of flights themselves when passengers face several choice alternatives such as schedule time, the number of stopovers, seat comfort, in-flight service, and in-flight travel time (Ortúzar and Simonetti, 2008;Balcombe et al, 2009;Wen et al, 2009;Wen and Lai, 2010;Mathies et al, 2013;Gao and Koo, 2014;Koo et al, 2015).…”

The impact of low-cost carriers on airport choice in the US: A case study of the Washington–Baltimore region

“…Researchers interested in accommodating sequential decisions among airport, airline and access mode use nested logit (NL) models. These NL models assume that there is a sequence in passenger choice of airlines and airports; perhaps passengers choose an airport first and an airline second (Pels et al, 2001(Pels et al, , 2009Yang et al, 2014), or an airport and access mode sequentially (Pels et al, 2003), or airport, airline and access mode sequentially (Hess and Polak, 2006).…”