基于潜在类别条件Logit模型的机舱座位选择行为

为向旅客推送精细化座位推荐服务,通过潜在类别条件logit模型探究了旅客座位偏好及座位效用差异。首先运用解释结构模型筛选出影响旅客选座的关键因素;其次对旅客及其选择偏好进行RP-SP调查,运用潜在类别条件Logit模型划分旅客类别,进一步探究不同因素对旅客类别的影响程度;最后构建不同类别旅客机舱座位效用函数,根据效用最大化原则判断旅客选择行为。结果表明,旅客在机舱座位选择行为上存在异质性,旅客被划分为三个类别：class1占比38.8%,倾向于选择第一排或紧急通道排的过道位置;class2占比39.8%,倾向于选择靠窗座位;class3占比21.4%,倾向于过道位置。研究将为航空公司进行座位管理及制定座位附加服务费提供理论及决策支持。

Behavior of Cabin Seat Selection Based on Latent Class Conditional Logit Model

In order to push refined seat recommendation services to passengers, the latent class conditional Logit model was used to investigate the difference in passenger seat preference and seat utility. Firstly, Interpretative Structural Modeling was used to screen out the key factors affecting passenger seat selection; secondly, a RP-SP survey was carried out on passengers and their preferences, and latent class conditional Logit model was used to classify the passenger categories, and the influence of different factors on passenger categories was further explored; finally, the cabin seats utility functions for different class passenger were constructed to judge the passenger"s seat selection behavior according to the utility-maximizing rule. The results show that passengers have heterogeneity in their cabin seat selection behaviors. Passengers are divided into three categories: class1 accounting for 38.8% tend to choose the aisle seats of the first row or emergency aisle row; class2 accounting for 39.8% tend to choose window seats; class 3 accounting for 21.4% tend to choose aisle seats. The research will provide theoretical and decision support for airlines" seat management and the formulation of additional seat service fees.