Abstract
The peak hour congestion is derived by concentration of commuters in a big city. To avoid the traffic congestion, commuting drivers change their original departure time or route based on traffic information and previous experiences, and by doing that, commuters can arrive at workplace on time. In this study, the relative importance of factors influencing on commuters' switching behavior was analyzed using binomial probit model, and the frequency of traffic information uses was analyzed using count models such as negative binomial and Poisson regression model for both the home-to-work and work-to-home trip in Seoul. The estimation results showed that there are remarkable differences from commuters' switching behavior of home-to-work and work-to-home trip, and provided the insight into relative effects of factors on the frequency of pre-route and en-route information uses.
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