Modelling Parking Choice Behavior without Parking Information

Ascertaining parking choice behavior without parking information is a key task for quantitatively analyzing the benefit of parking guidance system, it can be contrasted with parking choice behavior with all parking information. In the paper parking choice behavior without parking information is divided into parking route choice and parking lots choice. Logit probability model is applied to simulate parking route choice, the factor of the model is the walking distance between the expected parking lot and the destination by selecting turning movements, it is consisted of the direct walking distance and the distance that is equivalently converted from the waitting time in the intersection. In the process of parking lots choice, uncertain parking information are converted to imperfect parking information by probability analysis, and the expectation of factor is regarded as the variable value of Multinomial Logit parking choice model for solving the probability of parking lots choice. Finally, a simple example is provided and the result shows the model is feasible.