Modeling the Interdependence in Household Residence and Workplace Choices
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Models of residential and workplace location choice prevalent in the literature often assume that one choice dimension is exogenous to the other. In our view, a broad and uniform assumption that one choice dimension is exogenous and influences the other is too strong to use as the foundation for current behavioral research or applied policy analysis. We seek to examine the interdependence of residence and workplace choices and to develop a novel approach to modeling these choice dependencies. Two problems related to such joint modeling efforts are addressed in this paper. First, through a latent market segment modeling approach, the paper offers a methodology for accommodating different sequential decision-making processes that may be present in the population, i.e., residential location may be chosen first and influence workplace location for one segment and vice versa. Second, the modeling approach offers a means of overcoming the exploding choice set problem when attempting to model multidimensional choice phenomena. The overall aim of the work is to model the structure of the interdependency between the choices that a household makes with respect to residence location, and the workplace choices of the workers in the household, in the context of an integrated activity location and travel forecasting framework. This paper presents a joint model of residence location and workplace using an activity-based travel survey collected in the Puget Sound region of Washington in 1999, using a novel adaptation of recent methods for incorporating latent market segmentation within discrete choice models.
At the time of publication P. Waddell and L. Wang were at the University of Washington; C.R. Bhat, and N. Eluru were at the University of Texas at Austin; and R.M. Pendyala was at Arizona State University.