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http://dx.doi.org/10.7470/jkst.2013.31.3.033

Diversion Rate Estimation Model for Unexperienced Transportation Mode by Considering Maximum Willingness-to-pay: A Case Study of Personal Rapid Transit  

Yu, Jeong Whon (Department of Transportation Systems Engineering, Ajou University)
Choi, Jung Yoon (Department of Transportation Systems Engineering, Ajou University)
Publication Information
Journal of Korean Society of Transportation / v.31, no.3, 2013 , pp. 33-44 More about this Journal
Abstract
Personal Rapid Transit(PRT) has emerged as a promising transportation mode for transit-oriented sustainable communities. In this study, an alternative design of questionnaire survey is proposed in order to capture traveler's perception of an unexperienced transportation mode. This study aims at predicting the mode choice diversion behavior of potential PRT users who do not have experience of using it previously, considering their willingness-to-pay. The proposed model was applied to predict an aggregate forecast of PRT patronage for the city of Songdo where PRT is considered to be constructed. For validation of the proposed model, the price elasticity of PRT demand was analyzed, compared with existing models. The analysis results suggest that the proposed design of questionnaire survey is able to capture respondents' attitude and perception to unexperienced transportation mode in an effective manner. Also, they show that the proposed diversion rate model is more realistic than existing models in explaining the effects of users' willingness-to-pay for predicting PRT patronage.
Keywords
Aggregate Forecasting; Diversion Rate; Logistic Regression; Personal Rapid Transit; Tobit; WTP;
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Times Cited By KSCI : 3  (Citation Analysis)
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