Abstract
This paper analyzes trip chaining, focusing on how households organize non-work travel. A trip chaining typology is developed using household survey data from Portland, Oregon. Households are organized according to demographic structure, allowing analysis of trip chaining differences among household types. A logit model of the propensity to link non-work trips to the work commute is estimated. A more general model of household allocation of non-work travel among three alternative chain types — work commutes, multi-stop non-work journeys, and unlinked trips — is also developed and estimated. Empirical results indicate that the likelihood of linking work and non-work travel, and the more general organization of non-work travel, varies with respect to household structure and other factors which previous studies have found to be important. The effects of two congestion indicators on trip chaining were mixed: workers who commuted in peak periods were found to have lower propensity to form work/non-work chains, while a more general congestion indicator had no effect on the allocation of non-work trips among alternative chains.
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The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein. This document is disseminated through Transportation Northwest (TransNow) Regional Center under the sponsorship of the Department of Transportation UTC Grant Program in the interest of information exchange. The U.S. Government assumes no liability for the contents or use thereof. The contents do not necessarily reflect the views or policies of TransNow, the U.S. Department of Transportation or any of the local sponsors.
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Strathman, J.G., Dueker, K.J. & Davis, J.S. Effects of household structure and selected travel characteristics on trip chaining. Transportation 21, 23–45 (1994). https://doi.org/10.1007/BF01119633
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DOI: https://doi.org/10.1007/BF01119633