This paper investigates travel mode and airline choice using stated-preference data. Both air and non-air passengers’ data were collected in Western Australia, which allows easier generalisability of the findings to a wider population. A market segmentation approach, using latent class modelling, was applied to identify passenger segments. The results shown a significant difference between identified segments in terms of demographics, economics and trip characteristics. One segment, comprising travellers with higher income and more frequent business travellers, was sensitive to service-factors. The other, comprising personal travellers with lower incomes, placed higher sensitivity on price. The findings highlight the importance of understanding mode choice behaviour based on market segmentation and provides insights to policy-makers and airlines for developing more effective polices and strategies.

本文使用陈述偏好数据调查出行方式和航空公司选择。航空和非航空旅客的数据都是在西澳大利亚州收集的，这使得调查结果更容易推广到更广泛的人群。使用潜在类建模的市场细分方法被用来识别乘客细分。结果表明，在人口统计，经济和出行特征方面，确定的部分之间存在显着差异。由较高收入的旅客和经常出差的旅客组成的一个细分市场对服务因素敏感。另一类包括收入较低的私人旅行者，他们对价格的敏感性更高。