城市中心商业区停车需求预测模型及实证研究
首发时间:2012-05-07
摘要:停车需求预测是静态交通研究的重点和难点,论文介绍了目前主要的停车需求预测模型及其特点,并在此基础上建立了适用于我国城市中心商业区的公共停车场的短期和长期停车需求预测模型,该模型结合中国情境,在停车生成率模型基础上,引入了停车场周转率和利用率、价格影响系数、停车服务水平以及路网容量等影响因素。然后,通过天津市滨江道中心商业区进行实例应用,给出了停车需求的短期和长期预测结果,以此作为城市中心商业区交通需求管理的依据。
关键词: 交通运输规划与管理 公共停车场 中心商业区 停车需求 预测
For information in English, please click here
The Forecasting Model and its Emperical Study of Parking Demand for the Urban CCD
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(CCD) 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, which can be used for short time and long time forecasting, was set up, considering more factors, such as the average turnover rate, berth occupancy, service level, price level and growth rate of automobiles. At the same time, the capacity of network is applied to limit the short-term parking demand forecast. Finally, the model was applied to Binjiang Road CCD, Tianjin, China.
Keywords: Transportation Plan and Management Public Parking Lot Central Commercial District(CCD) Parking Demand Forecasting
论文图表:
引用
No.****
同行评议
共计0人参与
勘误表
城市中心商业区停车需求预测模型及实证研究
评论
全部评论0/1000