Modeling Chulalongkorn University Campus Parking Demand

Abstract

This paper reports a study of a parking demand study of Chulalongkorn University campus in Bangkok, Thailand. We interviewed 130 student commuters who regularly park on streets nearby campus and a parking structure on campus. The survey data were analyzed using discrete choice techniques, and the binary logit model was estimated by maximum likelihood method. The results show that trip characteristics, such as arrival and departure times, are significant determinant of parking choice. In addition, attitudes toward parking facility’s attributes, including security, cover, and parking availability, also influence choice of parking, as does the type of tariff payment. The results of this study can be used to properly design parking service attributes of the university’s parking structure in order to attract drivers from on-street parking which causes traffic problems in the surrounding areas.