基于土地利用的城市停车需求预测问题研究

为了解决目前不同停车预测模型在使用时的限制问题,本文在交通量-停车需求模型的基础上,根据各小区出行吸引的交通方式构成对小区进行分组,并结合交通小区土地利用状况对分组进行修正,分组预测规划期内出行吸引的交通方式构成,继而对各小区的停车需求进行预测. 通过实例计算证明了此方法的准确性.

Study on the Forecasting Problem of Urban Parking Demands Based on Land Use

In order to solve the limitation of different parking demand models, a model was presented to forecast the parking demand of the traffic zones based on the traffic volume-parking demand model. The model was constructed through following steps: grouping traffic zones according to their traffic structures in terms of traffic attractions; calibrating zone groups in the light of the land use of traffic zones; forecasting attractive traffic structures for each group independently; calculating parking demand of each traffic zone. The example validates the accuracy of the method.