Abstract
This paper presents a mixed logit framework to identify residential location choice behavior in households. The model integrates a “direct parametric representation” approach to capture the correlation between spatial units, as well as a comprehensive structure of zonal accessibility to reflect the effects of employment, school, shopping and recreational opportunities. Households are clustered based on demographic and daily trip data to extract their different residential choice characteristics. The model is applied to the central city of Dalian, China. The empirical results reveal that 11675 households are clustered into 5 groups, with distinct characteristics in each group. Results also show the significant differences in sensitivity to female, male and children commuting behavior while households make residential choices, as well as their preferences to zonal accessibility to different activity opportunities.
