A Study on Parking Behavior Characteristics of Drivers and Developing Parking Choice Model in CBD
Dae-Oung Kim, Yeong-Geun Ryu, Jae‐Han Kim, Byeung-Muk Park
Abstract
Dae-Oung Kim, Yeong-Geun Ryu, Jae‐Han Kim, Byeung-Muk Park
Abstract
In this study driver's parking behavior characteristics in C.B.D were analyzed by quantification theory II, and the variables deeply correlate with parking behavior revealed from the characteristic analysis were used in developing parking choice model typed Logit model. And for developing parking choice model, binary logit model was applied to the case of that choice alternatives were legal or illegal parking and on-road or off-road parking, and multinominal logit model that can predicts three alternatives simultaneously was applied to the case of that choice alternatives were on-road, off-road and illegal parking. parking choice models developed in this study, are expected to generate available data in developing and validating parking policy.
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In this study driver's parking behavior characteristics in C.B.D were analyzed by quantification theory II, and the variables deeply correlate with parking behavior revealed from the characteristic analysis were used in developing parking choice model typed Logit model. And for developing parking choice model, binary logit model was applied to the case of that choice alternatives were legal or illegal parking and on-road or off-road parking, and multinominal logit model that can predicts three alternatives simultaneously was applied to the case of that choice alternatives were on-road, off-road and illegal parking. parking choice models developed in this study, are expected to generate available data in developing and validating parking policy.
Key concepts: Binary logit model, Logit, Mixed logit, Logistic regression, Transport engineering, Computer science, Parking lot, Developing country