查看文章

This study examines potential observed and unobserved parameter heterogeneity in modeling vehicle-miles driven (VMD). This application is both important in its own right, and a vehicle for exploring conceptual, mathematical, and empirical differences among three finite-segmentation ways of addressing such heterogeneity: deterministic segmentation and (endogenous) switching for observed heterogeneity, and latent class models for unobserved heterogeneity. Based on empirical data from about 3,000 Georgia residents, we model weekly VMD, and identify key explanatory variables as well as the different sensitivities to those variables exhibited by various population segments. The study posits that people have different sensitivities to explanatory variables by residence type (urban versus “less urban”), and supporting evidence was found in the deterministic segmentation and endogenous switching models …