Methodological Issues in Modeling Time-of-Travel Preferences

Abstract

The purpose of this paper is to address three methodological issues that arise when modeling time-of-travel preferences: (1) unequal period lengths; (2) schedule delay in the absence of desired time-of-travel data; (3) and the 24-hour cycle. Varying period length is addressed by using size variables. Schedule delay is treated by assuming either arrival or departure time sensitivity and using market segment specific utility functions of time-of-travel, or using distributions of desired times-of-travel. The 24- hour cycle is modeled by using trigonometric or constrained piecewise linear utility functional forms. The methodologies developed in this paper are applied to the modeling of time-of-travel choices in the context of tour-based models using the 2000 Bay Area travel survey, and selected model estimation results are presented.

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