Abstract
Prediction on the public parking facilities scale is an important work of the urban static traffic planning. It is extremely necessary and meaningful to analyze its total demand, supply scale, and constituent. On the basis of analysis for the characteristics of static traffic prediction method based on travel, a process of parking facilities scale forecasting with the core of trip attraction model was presented, and a prediction model for public parking facilities was also established by means of improving traditional trip attraction model according to a static traffic management influence coefficient. At last, combined with example of urban prediction, the application methods of the model and the principles of its parameter calibration are discussed. The result demonstrates that our prediction model provides a solution to forecast public parking facilities scale.
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