基于泊位共享的新城区停车需求预测

Parking Demand Forecasting for Space Sharing Facility in New Urban Area

基于泊位共享的停车需求预测可以降低新城区开发建设成本,提高泊位利用效率,可实现土地、空间资源的节约利用。以停车生成率法为基础,探讨了基于泊位共享的停车需求预测方法,并考虑共享泊位效用的折减量。同时,提出采用类比法对现有停车配建指标按照规划目标进行调整的方法。结合长沙市洋湖垸片区规划案例进行分析,应用泊位共享的停车需求预测模型,得到总部经济区共享停车模式的泊位需求为31064泊位,比常规停车需求预测方法得到的泊位需求降低了11.5%,减少建筑面积约12.5万m2。

The parking demand forecasting for space sharing facility can reduce the cost of new urban area development,enhance space occupancy rate,and save land use resources.Based on the parking generation rates method,this paper discusses the demand forecasting for parking space sharing while considering the reduction of the effect of parking space sharing.The paper proposes a method that adjusts the existing parking construction indices with the planning objective by analogy.Taking Yanghuyuan district in Changsha as an example,the results of the sharing parking model indicate a reduction of 11.2% in parking space demand in the center of economic development zone compared to the results from the conventional parking demand prediction model.Based on the sharing model,the total required parking space is 29,475 stalls a saving of 116 000 m2 construction area.