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The stated-preference approach to demand forecasting is gradually coming of age. Despite inherent problems with scaling factors, dynamics and IIA, data-generation approaches relying on hypothetical-choice set experiments continue to grow in use. Previous models have demonstrated construct validity and reproducibility over time. The current research examines the transferability of stated-preference models across target populations residing within the same transportation network. Two employment sites in northeastern New Jersey provide the setting. The stated-choice approach is tested for consistency when applied to different sites. The sites are not identical, nor are the instruments. These differences become the basis for developing a set of alternative hypotheses that test for structural differences between the two models. The strategies of transportation-demand management proposed for implementation at both sites are essentially the same. The differences arise for the most part from the availability of off-site transportation resources to each site's employees. One site is in a relatively isolated suburban setting that has little public mass transportation and no off-site parking. The other site is an urban facility with access to public mass transportation and off-site parking. The stated-choice models estimated at the two sites have essentially the same structure. Where site-specific conditions are comparable, the logit coefficients are statistically identical; where the site-specific conditions differ, the coefficients differ in the direction predicted by theory.
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