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Investigating the effect of travel time variability on drivers' route choice decisions in Shanghai,China
Authors:Gan Hong-cheng  Ye Xin  Wang Qing
Affiliation:1. Department of Transportation Engineering , University of Shanghai for Science and Technology (USST) , Shanghai, P.R. China hongchenggan@hotmail.com;3. The National Center for Smart Growth Research and Education , University of Maryland , College Park, MD, USA;4. Department of Information Management , Shanghai Finance University , Shanghai, P.R. China
Abstract:Abstract

This paper investigates the effect of travel time variability on drivers' route choice behavior in the context of Shanghai, China. A stated preference survey is conducted to collect drivers' hypothetical choice between two alternative routes with designated unequal travel time and travel time variability. A binary choice model is developed to quantify trade-offs between travel time and travel time variability across various types of drivers. In the model, travel time and travel time variability are, respectively, measured by expectation and standard deviation of random travel time. The model shows that travel time and travel time variability on a route exert similarly negative effects on drivers' route choice behavior. In particular, it is found that middle-age drivers are more sensitive to travel time variability and less likely to choose a route with travel time uncertainty than younger and elder drivers. In addition, it is shown that taxi drivers are more sensitive to travel time and more inclined to choose a route with less travel time. Drivers with rich driving experience are less likely to choose a route with travel time uncertainty.
Keywords:travel time variability  travel time uncertainty  binary probit model  stated preference survey  Shanghai
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