Abstract
A study of the potential use of a new transportation mode often challenges transport planners in forecasting future demands. Various factors influence travelers on making decision, especially attitudes, demography, and travel characteristics leading to, if not properly examined, unreliable demand forecasting. A Car-sharing system is an innovative transportation mode for Bangkok people to shift from an existing mode. This paper focuses on a study of the travelers' opinion on the new mode and the potential use of the Car-sharing system in Bangkok regarding pre- and post- attitudes toward the system. A two-phase analysis of a preliminary study and an attitude-related research are conducted to elicit travel behavior information associated with an introduction of the Car-sharing system. Descriptive and conductive statistics are presented for describing the relationship between the level of interests and the travelers' explanatory characteristics. The study develops a methodology to treat the attitude variables by group classification and then incorporate attitudes in modeling process (Binary Logit Model). In addition, two classification methods (Statistical and Judgmental) are considered and compared. The study brings about the understanding on the effect of attitudes toward the Car-sharing system resulting in more accurate estimation of the use of the system.
