Abstract
Changes in travel behavior and in the factors affecting travel behavior can provide useful input to policy definitions, and also have important implications for the design of decision support systems for transport policy analysis. The primary source of behavioral changes and models for decision support systems is a panel survey; that is, repeated observations by the same persons over time. This paper analyzes data from 9 waves of the Puget Sound Transportation Panel in order to study travel behavior change and the sources of this travel behavior change. The frequency of trips and the proportion for each mode are studied by means of a series of Poisson and linear regression models. A complex pattern of relationships emerged from this analysis with some findings confirming prior research, while others indicated inconsistent correlations in time.
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