Abstract
There has been an increasing interest in land use and transportation interaction in the past decades. Many substantial attempts have been made to empirically investigate the connection among those impacts can be interpreted in developed countries, yet few attempts in developing countries. The paper examines residential location choice behavior using a sample of households where their workplace is in the CBD of Bangkok Metropolitan Region. A stated preference approach will be employed, where each of a respondent is asked to imagine moving to a new location. Discrete choice models, i.e., rank-ordered logit (ROL) and rank-ordered nested logit (RONL) will be applied to treat the residential location choice behavior. The results confirm the applicability of the ROL and RONL models and support similar behavioral interpretations from other empirical studies in the residential location choice literature. This information is important for suggesting appropriate policy such as promote urban rail transit use.
