Abstract
The benefits of public policies designed to alleviate traffic congestion, reduce pollution, and improve public health rest heavily on the value that commuters place on time and how they make transportation mode decisions. However, over the last several years, commuter lives have become more complicated with rising income. This has impacted transportation decisions. In my model, transportation mode choices are made simultaneously with the choice of whether or not to make multiple stops (termed travel complexity). Unlike other studies, I account for commuters' unobserved preferences for particular transportation modes. Using travel behavior data collected by the Oregon Department of Transportation, I estimate the model using an error components logit (ECL) specification and find that not allowing for unobserved commuter preferences for particular transportation modes underestimates value of travel time (VOT) and over-predicts complex trip choice relative to the crossing-components ECL. The estimated model predicts that increased trip complexity causes substitution away from public transit to automobiles, with the exception that bicyclists transition only to more complex trips and do not change transportation modes.
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