A study on passengers' airport choice behavior using hybrid choice model: A case study of Seoul metropolitan area, South Korea

Jung, Se-Yeon; Yoo, Kwang-Eui

doi:10.1016/j.jairtraman.2016.07.007

Cited by 23 publications

(6 citation statements)

References 14 publications

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“…In transportation, airport and mode choice have been the most typical choice models. In aviation, discrete choice models have been used to study the choice of the passengers over airports (Loo, 2008;Marcucci and Gatta, 2011;Jung and Yoo, 2016) or airlines (Barrett, 2004;Chen and Chao, 2015). An extensive review of the airport choice models and the influential factors is given in Luca (2012).…”

Section: Methodology and Case Studymentioning

confidence: 99%

Analyzing passenger behavior in airport terminals based on activity preferences

Kalakou

Moura

2021

Journal of Air Transport Management

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Section: Methodology and Case Studymentioning

confidence: 99%

Analyzing passenger behavior in airport terminals based on activity preferences

Kalakou

Moura

2021

Journal of Air Transport Management

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“…Recent research has made more use of the nested logit (NL) model to investigate combined choices while considering multiple factors. Pels et al (2000) and Jung and Yoo (2016) analysed passengers' decisions regarding a combination of airports and airlines. Zhou et al (2019) analysed the choice of transportation mode and airline.…”

Section: Literature Reviewmentioning

confidence: 99%

Do Citizens of a City that Owns a Local Public Airport Have Attachment to the Airport and Use it?

Morimoto

Koide

Sugiura

2022

JATS

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This research investigates whether passengers living in a city with a local public airport have an attachment to that airport and tend to use it. Focusing on the greater Kansai area with its three airports and Kobe, which owns one of them, Kobe Airport, as an example, an empirical analysis was conducted using a nested logit model and micro data. The result of the basic model shows that passengers living in Kobe prefer the Kobe Airport when compared to passengers living in other cities. An additional analysis based on a questionnaire survey revealed that a certain percentage of respondents choose Kobe Airport because they love it, meaning that the non-economic factor of attachment influences passengers’ decisions. The results of this research suggest that enhancing attachment to an airport might be a possible idea for policy makers of airport cities to increase their passengers.

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“…By exploring the airport choice behaviors in different regions of the world, the ground access time to airport, the flight frequency and the air ticket price are the three top factors that influence the airport choice behavior; however, the access time seems more important for the airport choice in a multi-airport region [21]. We can imagine that the improved coach service would have a distinct stimulus on airport choice behavior; however, other factors should be incorporated into the simulation approach.…”

Section: A Airport Choice In Multi-airport Regionmentioning

confidence: 99%

Simulating the Market Share Variation in Multi-Airport Area Incorporating Airport Choice Habit

Meng

2020

IEEE Access

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For the reason that passengers commonly need some time to change their habitual airport choice, the demand attracted by a newly conducted service of an airport may gradually increase at the startup time. We refer to this duration as the cultivation period and analyze the variation in the market share within the period by simulating the switch of habitual airport choice. Considering the effects of habit on passengers' cognitive risks, the cumulative prospect theory is applied to model the habitual airport choices, and the habit decay pattern is determined to construct the mechanism that links the sequential choices. The case of Lukou Airport in the Yangtze Delta Region is considered as an example to validate the simulation approach. The results show that the simulated market share fits the real data well, and the coach frequency and the on-time performance are two key factors that determine the efficiency of the coach service in the cultivation period. Meanwhile, setting dynamic coach frequencies is an effective strategy to guide passengers in quickly switching their habitual airport choice, which reduces the cultivation period. INDEX TERMS Cultivation period, airport market share, switch of habitual airport choice, cumulative prospect theory.

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A study on passengers' airport choice behavior using hybrid choice model: A case study of Seoul metropolitan area, South Korea

Cited by 23 publications

References 14 publications

Analyzing passenger behavior in airport terminals based on activity preferences

Analyzing passenger behavior in airport terminals based on activity preferences

Do Citizens of a City that Owns a Local Public Airport Have Attachment to the Airport and Use it?

Simulating the Market Share Variation in Multi-Airport Area Incorporating Airport Choice Habit

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