Modeling Stated and Revealed Route Choice: Consideration of Consistency, Diversion, and Attitudinal Variables

Abstract

Data from Global Positioning System (GPS) route data collection and a survey conducted after data collection obtain both stated and revealed route choice preferences from respondents in Lexington, Kentucky. A subset of the GPS data was analyzed to reveal how much their chosen routes differ from minimum-time routes. The post-GPS data collection survey includes attitudinal data, travel habits, route descriptors, and demographic data as stated by respondents, who identified preferred and nonpreferred peak and off-peak routes between the University of Kentucky and Kentucky International Airport. Summaries are given of travel habit and work- and shopping-related attitudinal variables. The three most commonly identified routes described by participants were analyzed. Binary models are presented for diverters and people who chose the same route during peak and off-peak conditions. One-third of the respondents are diverters and revealed that they deviate more than 10% from minimum travel time routes. Approximately 60% of the sample stated that they would use the same route during peak and off-peak conditions. Attitudinal data, travel habits, route descriptors, and demographic variables were significant in the models and help explain the behavior. The revealed data and the attitudinal data both help explain consistency in route choice.

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