Exploring Second Trip Patterns: An Analysis of Travel at Work in Portland
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The development and implementation of activity-based travel demand forecasting models in US metropolitan areas have made accessible complex datasets on travel behavior. Utilizing data obtained from the Oregon Travel and Activity Survey, a dataset used to develop the activity-based travel demand forecasting model for Portland, Oregon, this thesis proposes a model for understanding mode choice decisions made by individuals while at work. A second-trip, for the purpose of this research, is defined as any trip which originates from a place of work (or study) and involves a return trip to the same place of work (or study). Incorporating both business and non-business related travel using a sequential logit model, this thesis seeks to understand the similar and dissimilar characteristics which inform mode choice after arrival at a place of employment. Planners are often employed by business improvement districts, universities, and major employers to implement travel demand management strategies to mitigate the consequences of single occupancy vehicle commuting. This work seeks to develop an understanding of travel at work and contributes to the dialogue on changing travel behavior to support sustainable mobility.