The Model of Parking Demand Forecast for the Urban CCD
The Model of Parking Demand Forecast for the Urban CCD
复制标题
城市CCD停车需求预测模型
DOI：
10.1016/j.egypro.2012.01.221
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Ma Ze
中科院分区：
文献类型：
--
作者：
Cheng Tiexin;Tai Miaomiao;Ma Ze
随着汽车保有量的增加，城市停车需求出现了快速增长，城市汽车停车已成为城市中心商业区一个非常严重的交通问题。停车需求预测是公共停车规划的关键，为停车场规模的确定提供基础数据。在停车生成率模型的基础上，综合考虑平均周转率、停车位占用率、服务水平、停车收费和机动车增长率等因素，建立了改进模型。同时，利用路网容量对短期停车需求预测进行修正。最后，将该模型应用于天津市滨江大道CCD。
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.