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An alternative approach to understanding airline customers’ attitudes and behaviors

潜在Dirichlet分配 航空 服务质量 营销 业务 主题模型 透明度(行为) 顾客满意度 服务(商务) 订单(交换) 质量(理念) 广告 情绪分析 旅游 计算机科学 客户服务 市场细分 低成本航空公司 消费者行为 市场调研 客户体验
作者
Somaye Mansouri,Saeed Moradpour,Catherine Prentice
出处
期刊:Journal of Air Transport Management [Elsevier BV]
卷期号:133: 102960-102960 被引量:2
标识
DOI:10.1016/j.jairtraman.2025.102960
摘要

The aviation industry is facing challenges in meeting the evolved expectations of travelers in the post-COVID era in which their expectations are expressed in their online reviews. Unprecedented proliferation of passenger reviews on online platforms has resulted in a deluge of unstructured data. Hence, in order to assess customers’ attitudes and behaviors, this study utilized machine learning technique including topic modelling and sentiment analysis through analyzing passenger review data extracted from Skytrax for the top 100 low-cost and flagship airlines in 2024. Two most popular topic modelling methods, Latent Dirichlet Allocation and BERTopic were applied to identify recurrent themes. The results show that flight delays, schedule-related issues, communication gaps, and lack of pricing transparency were underscored by passengers as major shortcomings. Low-cost carrier passengers were more focused on operational reliability; whereas, flagship airline passengers were mainly concerned about extra charges and quality of services. The sentiment analysis reveals that cultural and regional differences have influenced customer satisfaction regarding the airline types, continents, cabin comfort, handling of baggage, and in-flight service provision. This research contributes to existing service quality research by extending the traditional methods of assessing customer attitudes and behaviors. The findings provide insightful guidance for airlines to improve service offerings and attract customer patronage. • This study applies AI and machine learning techniques—topic modeling and sentiment analysis—to examine airline passengers' attitudes and behaviors. • Passenger reviews from Skytrax for the top 100 low-cost and flagship airlines in 2024 were analyzed using Latent Dirichlet Allocation and BERTopic to identify recurring themes. • Findings reveal major concerns such as flight delays, scheduling issues, communication gaps, and lack of pricing transparency. Low-cost carrier passengers prioritize operational reliability, while flagship airline passengers focus on extra charges and service quality. • Sentiment analysis shows cultural and regional differences.

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