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A new model for airport passenger segmentation
Author(s) -
Anna Harrison,
Vesna Popović,
Ben J. Kraal
Publication year - 2015
Publication title -
journal of vacation marketing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.842
H-Index - 63
eISSN - 1479-1870
pISSN - 1356-7667
DOI - 10.1177/1356766715571390
Subject(s) - segmentation , market segmentation , computer science , aviation , selection (genetic algorithm) , transport engineering , population , international airport , marketing , key (lock) , operations research , business , engineering , artificial intelligence , sociology , demography , computer security , aerospace engineering
Recent changes in the aviation industry and in the expectations of travellers have begun to alter the way we approach our understanding, and thus the segmentation, of airport passengers. The key to successful segmentation of any population lies in the selection of the criteria on which the partitions are based. Increasingly, the basic criteria used to segment passengers (purpose of trip and frequency of travel) no longer provide adequate insights into the passenger experience. In this paper, we propose a new model for passenger segmentation based on the passenger core value, time. The results are based on qualitative research conducted in-situ at Brisbane International Terminal during 2012-2013.\udBased on our research, a relationship between time sensitivity and degree of passenger engagement was identified. This relationship was used as the basis for a new passenger segmentation model, namely: Airport Enthusiast (engaged, non time sensitive); Time Filler (non engaged, non time sensitive); Efficiency Lover (non engaged, time sensitive) and Efficient Enthusiast (engaged, time sensitive).\udThe outcomes of this research extend the theoretical knowledge about passenger experience in the terminal environment. These new insights can ultimately be used to optimise the allocation of space for future terminal planning and design

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