Joint Model of Participation in Nonwork Activities and Time-of-Day Choice Set Formation for Workers
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Non-work activity and travel participation is an important component of overall travel demand that is complex to model as the greater degrees of flexibility associated with such travel induces larger variability and randomness in this behavior. This paper aims to offer a framework for modeling the participation in and travel mileage allocated to non-work activities during various time periods of the day for workers. Five time-of-day blocks are defined for workers based on the period of the day in relation to the work schedule. Individuals can choose to pursue non-work activities in one or multiple time blocks and travel miles to accomplish the activities. A multiple discrete-continuous extreme value (MCDEV) modeling approach is employed to model this phenomenon. A unique element of the paper is the addition of a latent choice set generation model as a first component in the model system. This choice set generation model can be used to determine the set of time-of-day periods that each individual will consider for the pursuit of non-work activities, while recognizing the fact that the consideration choice set is not explicitly observed (and is therefore latent) by the analyst. Thus, the model system presented in this paper is capable of modeling non-work activity engagement and associated travel mileage by time-ofday period while incorporating varying choice sets across individuals. The two-component model system is applied to a survey sample drawn from the San Francisco area of the United States, and shown to perform substantially better than a pure MDCEV model that assumes a constant choice set across the sample.
At the time of publication M. Castro, and C.R. Bhat were at the University of Texas at Austin; N. Eluru was at McGill University; and R.M. Pendyala was at Arizona State University.