Conjoint analysis is in essence a data collection method that is especially useful if one is
interested in examining the trade-offs that individuals or households make with respect to …

Conjoint estimates of residential preferencesare typically based on aggregate responses.
Forreasons of segmentation or to differentiatebetween non-significant housing attributes …

This paper uses stated preference and revealed preference data, separately and jointly, to
examine individuals, housing choices. In particular, it combines an established revealed …

This paper reports the results of analysis conducted to test whether a verbal description of
attribute profiles and a multimedia (virtual reality) representation in conjoint experiments …

Integrated conjoint choice models have recently been introduced in the consumer choice
literature as an approach to include a large number of influential attributes in a choice …

A simultaneous discrete and continuous random utility model for housing demand is
presented. Household utility depends on three characteristics of housing: a discrete number …

Effective and efficient planning and development of residential environments require
clarifying the nature of residential preferences. In reality, residential preferences are …

The discovery of consumers' preferences for multiattribute products/services has recently
become possible with the development of conjoint measurement techniques. Conjoint …

Recent advances in psychological scaling theory and methodology have facilitated the
specification and measurement of individual differences in residential preferences (eg …

The conjoint preference approach, measuring individual preferences, has a long history in
the study of residential decisionmaking processes. Residential choice behaviour, however …