Abstract
This research proposes a methodology to quantitatively evaluate the impact of traveler's pre-trip information considering transaction cost for travel behavior changes. The transaction cost is defined as the difference of expected utilities which are observed before and after travel behavior changes, and is estimated using a discrete choice model which represents mode choice behavior with and without the information on travel time respectively. The model is estimated with mode choice RP data and SP data for hypothetical information provision. Furthermore, we empirically analyze the impact of pre-trip information provision to enhance new transportation services such as Park and Ride.
