Abstract
With the increase of the number of automobiles, the city parking demand occurred a rapid growth, and the city automobile parking had become a very serious traffic problem for Central Commercial District in cities. The parking demand forecast is the key of public parking planning and provides the basic data for the size of the parking lot. On the basis of the Parking Generation Rate Model, the improved model was set up, considering more factors, such as the average turnover rate, parking place occupancy, service level, parking fees and growth rate of automobiles. Meanwhile, the capacity of road network is applied to rectify the short-term parking demand forecast. Finally, the model was applied to Binjiang Road CCD, Tianjin, China.
Published Version
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