Abstract
Optimal market segmentations among possible combinations of classification attributes, such as area, household size, head's age and household annual income, are derived based on residents' satisfaction level and housing needs. Results show that household annual income and/or head's age are key attributes for segmentation in view of residential satisfaction for houses; that the segmentation by area is effective for understanding residential satisfaction level for residential environment; and that head's age is a key attribute for segmentation in view of housing needs, while other attributes do not contribute so much.
