College of Automobile and Traffic Engineering, Nanjing Forestry University, No.159 Longpan Road, Nanjing 210037, China.
School of Transportation, Southeast University, No.2 Dongnandaxue Road, Nanjing 211189, China.
Int J Environ Res Public Health. 2021 Aug 10;18(16):8462. doi: 10.3390/ijerph18168462.
With the continuous improvement of the operation line network of urban rail transit, analyzing influencing factors of transfer passenger flow of urban rail transit is critical to improve the transfer demand analysis of urban rail transit. Using data collected from questionnaires, transfer passenger flow surveys and smart cards, this study proposes an approach base on nested logit passenger flow assignment model considering transfer choice behaviours of passengers. The transfer passenger flow at seven transfer stations in Nanjing is obtained. Subsequently, this study investigates the potential influencing factors of transfer passenger flow, including the node degree, geographic location (located in the city center, urban fringe, suburbs or suburban fringe), economic location (distance from the city center) and transportation locations (if it is close to a transportation hub or in combination with the hub) of rail transit transfer stations. The results indicate that a positive correlation between the transfer passenger flow and the node degrees of transfer stations. However, the relationship between transfer passenger flow and the economic, geographic, and transportation locations of transfer stations is not clear. The finding have reference value for the network design of rail transit transfer stations and transfer facilities, and provide reference for the analysis of passenger flow under network operation.
随着城市轨道交通运营线路网络的不断完善，分析城市轨道交通换乘客流的影响因素，对于提高城市轨道交通换乘需求分析具有重要意义。本研究基于嵌套 logit 客流分配模型，利用问卷调查、换乘客流调查和智能卡采集的数据，提出了一种考虑乘客换乘选择行为的方法。得到了南京市七个换乘站的换乘客流。随后，本研究调查了换乘客流的潜在影响因素，包括轨道交通换乘站的节点度、地理位置（位于市中心、城市边缘、郊区或郊区边缘）、经济位置（距离市中心的距离）和交通位置（是否靠近交通枢纽或与枢纽相结合）。结果表明，换乘站的节点度与换乘客流呈正相关关系。然而，换乘客流与换乘站的经济、地理和交通位置之间的关系并不明确。研究结果对轨道交通换乘站和换乘设施的网络设计具有参考价值，为网络运营下的客流分析提供了参考。
