Journal
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
Volume 36, Issue 10, Pages 875-896Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0191-2615(01)00039-X
Keywords
activity analysis; activity generation; household; interactions; joint activities; travel behavior; travel demand; trivariate ordered probit model
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In this paper, we develop an approach for modeling the daily number of non-work, out-of-home activity episodes for household heads that incorporates in its framework both interactions between such members and activity setting (i.e. independent and joint activities). Trivariate ordered probit models are estimated for the heads of three household types - couple, non-worker; couple, one-worker; and couple, two-worker households - using data from a trip diary survey that was conducted in the Greater Toronto Area (GTA) during 1987. Significant interactions between household heads are found. Moreover, the nature of these interactions is shown to vary by household type implying that decision-making structures and, more generally, household dynamics also vary by household type. In terms of predictive ability, the models incorporating interactions are found to predict more accurately than models excluding interactions. The empirical findings emphasize the importance of incorporating interactions between household members in activity-based forecasting models. (C) 2002 Elsevier Science Ltd. All rights reserved.
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