城市轨道交通车站客流吸引范围重叠区域划分模型

现有城市轨道交通车站客流吸引范围划分方法大多未考虑相邻车站间的重叠区域,导致车站客流预测值偏大。为了提高车站客流预测的准确性,考虑中间站、首末站、换乘站,针对不同相邻车站类型提出客流分配量计算公式。基于此构建轨道交通车站客流吸引范围重叠区域划分模型,并采用日本东京都城市轨道交通车站的相关数据标定模型参数。最后,以上海市轨道交通11号线安亭站及相邻的兆丰路站和汽车城站为例进行模型验证,结果显示精确度为78.6%。指出产生误差的原因可能在于上海市与东京都的差异以及交通小区数量过少。

Overlapping Region Partition Model for Urban Rail Transit Station Passenger Attraction

Most of existing methods for partition of urban rail transit station passenger attraction zones have not taken into account the overlap between neighboring stations, resulting in overestimation of passen-ger flows at stations. To improve the forecasting accuracy, this paper considers intermediate stations, termi-nal stations, and transfer stations, and introduce ridership assignment formulations for different types of neighboring stations. Accordingly, this paper develops overlapping region partition model for passenger at-traction zones within rail transit stations, and then, estimate key parameters with using Tokyo Prefecture da-ta, Japan. Case study of Anting Station and its neighboring Zhaofeng Road Station and Shanghai Interna-tional Automobile City Station along Shanghai Metro Line 11 reveals that the forecasting accuracy of pro-posed model reaches at 78.6%. Moreover, the causes of error, likely, inappropriate parameter estimation due to the differences between Shanghai Municipality and Tokyo Prefecture and the insufficient traffic zones, are also discussed.