No abstract

This paper seeks to investigate transfer passenger's perception of airport service quality and its influence on value, satisfaction, airport image, and passenger behavior. To test the relationships between the variables, Structural Equation modeling is used to analyze survey data collected from 331 transfer passengers at Incheon International Airport. The results show that airport service quality would raise the level of transfer passengers' satisfaction, value perceptions, and airport image formation. In addition, airport service quality has an indirect impact on transfer passenger behavior by means of value, satisfaction, and airport image.

No abstract

Recently, the LCCs (low cost carriers) using ICN (Incheon International Airport) as a hub have increased their international routes. In addition, foreign nationality airlines, including Middle Eastern carriers, have gradually increased their operations at ICN. This growth in carrier services has resulted in a more competitive market environment, and reasonable resource assignment has become an important issue for airport operators. Moreover, the airport will open a new terminal-T2 (terminal 2) in early 2018, and carriers will need to adjust their operations reflecting the utilization of newly assigned facilities. Motivated by this change, we investigate the differentiation of airport service perception as well as airline choice behavior by passenger groups at ICN. This paper employs a MNL (multinomial logit) model as well as a SEM (structural equation model). The results indicate that airline gate allocation is a significantly important value for passengers in terms of airport service perception and choice behavior. Passenger perception and choice behavior differ according to the selected carrier. This study concludes that it is significantly important to consider the characteristics of passenger perception and choice behavior to improve airport operational efficiency, particularly with respect to carrier facility assignment.

LCCs (low cost carriers) are expanding their routes, which is affecting airport network connectivity. The subsequent increases in market competition and the number of airlines operating in air network routes have made the centrality analysis more significant because it can be used to identify airport network connectivity competitiveness. This study analyzes the network connectivity competitiveness of South Korea among Asian airports using the MIDT (marketing information data transfer) dataset provided by OAG Traffic Analyser, which provides data collected from regional Asian airports since 2011. The network centrality of individual airports is estimated to compare network connectivity competitiveness in Asia. Measures for overall network centrality include degree, closeness and betweenness centrality. This network centrality analysis may be helpful for South Korean airports in identifying their network performance and competitive position in Asia and confirming the effects that LCCs have on airport network connectivity. The results indicate that South Korea's aviation market needs to expand its network via a strategy that prioritizes the strengthening of airport connectivity and the pursuit of liberalization. In addition, LCC operations will support Korea's network growth via the various strategies that they employ. Consequently, this in turn will bolster the overall market competitiveness of South Korean airports.