'The University of Texas at Austin, Bureau of Economic Geology'
Abstract
At the time of publication, X. Fu was at the Shanghai Jiao Tong University, C.R. Bhat at the University of Texas at Austin, R.M. Pendyala at Georgia Institute of Technology, S. Vladlamani and V.M Garikapati at Arizona State University.Residential choice may be characterized as a household’s simultaneous decisions of location,
neighborhood, and dwelling. Traditional models do not account for the latent unmeasured
constructs which capture individuals’ preferences for and attitudes towards residence and
mode choice. This paper employs Bhat’s (2014) Generalized Heterogeneous Data Model
(GHMD) to accommodate five inter-related residential choice dimensions, including
residential location, neighborhood land-use pattern, public transportation availability, housing
type, and dwelling ownership. Four latent variables including pro-driving, pro-public
transportation, facility availability, and residential spaciousness are constructed to capture
individuals’ attitudes towards travel modes and preferences for residential features. The
inclusion of these latent constructs helps account for self-selection effects in residential
choice processes. The determination of relationships among multiple dimensions of
residential choice behavior, socio-demographics, and latent attitudes and preferences is
critical to integrated land use – transport modeling and the formulation of policies as well as
urban residential and neighborhood environments that cater to individual preferences and
enhance quality of life.Civil, Architectural, and Environmental Engineerin
