A comprehensive daily activity-travel generation model system for workers
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This paper develops a comprehensive representation to describe the activity-travel pattern of workers and proposes an analysis framework to model the activity-travel attributes identified in the representation. The analysis framework is based on a descriptive examination of activity-travel patterns of workers from two locations in the U.S. The paper also formulates an econometric methodology to estimate the component of the analysis framework involving the joint modeling of evening commute mode choice, number of evening commute stops, and number of stops after arriving home from work. The methodology is applied to an empirical analysis using data from an activity survey conducted in the Boston Metropolitan area and the effects of a variety of congestion-alleviation measures are examined.
At the time of publication C.R. Bhat was at the University of Texas at Austin; and S.K. Singh was at the University of Massachusetts at Amherst.