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SEGMENTATION OF STORE CHOICE MODELS USING STATED PREFERENCES
Author(s) -
Moore Laurence
Publication year - 1990
Publication title -
papers in regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.937
H-Index - 64
eISSN - 1435-5957
pISSN - 1056-8190
DOI - 10.1111/j.1435-5597.1990.tb01207.x
Subject(s) - market segmentation , choice modelling , consumer choice , preference , quality (philosophy) , segmentation , computer science , revealed preference , consumer behaviour , econometrics , marketing , economics , business , microeconomics , artificial intelligence , philosophy , epistemology
The understanding and modelling of consumer shopping behaviour can increasingly only be fully realised by reference to market segments. Disaggregate choice modelling methods are able to take account of such behavioural heterogeneity, but are hampered by the poor quality of observed choice data on which they art calibrated. This paper shows how a segmented modelling strategy may be developed using stated preference data, and illustrates the methodology using the example of grocery shopping in Cardiff, South Glamorgan.