A study was conducted to determine ways in which travel time variation affects route choice behavior and the potential interplay among travel time variation, traffic information acquisition, and route choice. In a computer-aided telephone interview, a stated preference section was included to investigate this issue, and 564 respondents in the Los Angeles area gave their choices to five hypothetical binary choice sets. The repeated measurement issue is addressed with individual-specific random error components in a binary logit model with normal mixing distribution. The results indicate the significance of both the degree of travel time variation and traffic information on route choice and illustrate the viability of the survey methodology used. The study also underscores the need for a statistical correction to account for the correlation among error components in repeated-measurement data.
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