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Latent air travel preferences: Understanding the role of frequent flyer programs on itinerary choice

机译:潜在的航空旅行偏好:了解飞行常客计划对行程选择的作用

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Many studies have used air itinerary choice data to identify preferences and tradeoffs of various flight service attributes, such as travel time, number of connections, and fare. Little has been done, however, to estimate the effect Frequent Flyer Programs (FFPs) have on itinerary choice. The goal of this paper is to quantify the impact of FFP membership on itinerary choice and identify discrete patterns of unobserved preference heterogeneity. For this purpose, we apply two modeling techniques using a set of stated preference data collected on 830 individuals. A Multinomial Logit Model (MNL) is first estimated and Willingness-To-Pay (WFP) values are calculated for the choice of flying an airline with which the individual has FFP membership compared with another airline where the individual has no FFP membership. These WTP estimates vary across different trip purposes and levels of FFP status. Our results indicate that FFP membership plays a strong role in airline choice, particularly for individuals with elite membership. We then capture random heterogeneity through the use of latent class models, using sociodemographic variables as class-membership covariates. The latent class model results indicate three groups of individuals with very different sets of preferences, particularly for FFP membership. The discrete segmentation indicates one class with very low WTP, one class with average WFP, and one class with extremely large WTP values. These results provide evidence that latent class models capture preference heterogeneity much better than the MNL model for air itinerary choice, particularly when considering the effects of FFP membership. (C) 2015 Elsevier Ltd. All rights reserved.
机译:许多研究已经使用航空路线选择数据来识别各种航班服务属性的偏好和权衡,例如旅行时间,中转次数和票价。但是,几乎没有做任何事情来估计飞行常客计划(FFP)对行程选择的影响。本文的目的是量化FFP会员资格对行程选择的影响,并确定未观察到的偏好异质性的离散模式。为此,我们使用两种建模技术,它们使用了针对830个人收集的一组陈述的偏好数据。首先估算一个多项式Lo​​git模型(MNL),并计算愿意付款的意愿(WFP)值,以选择与该个人没有FFP会员资格的另一家航空公司相比,该航空公司拥有FFP会员资格的航空公司。这些WTP估算值随旅行目的和FFP状态级别的不同而不同。我们的结果表明,FFP成员资格在航空公司选择中起着重要作用,特别是对于具有精英成员身份的个人。然后,我们使用社会人口统计学变量作为类成员协变量,通过使用潜在类模型捕获随机异质性。潜在类别模型的结果表明,三组具有不同偏好集的个人,尤其是对于FFP成员资格而言。离散分割表示一类具有非常低的WTP,一类具有平均WFP,而一类具有非常大的WTP值。这些结果提供了证据,即对于航空路线选择,潜在类模型捕获的偏好异质性比MNL模型要好得多,尤其是考虑到FFP成员资格的影响时。 (C)2015 Elsevier Ltd.保留所有权利。

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