多源数据驱动的轨道交通与公交换乘特征和服务范围研究

Interchange Characteristics and Service Areas Between Mass Transit and Bus Based on Multi-data Driven Methodology

以苏州市轨道交通5号线开通后地面公交的线网优化规划为例,提出基于多源数据的轨道交通和公交换乘客流特征分析方法,并用以划分服务范围。利用轨道交通和公交的IC卡刷卡数据及手机大数据,模型分析轨道交通和公交换乘客流和潜在客流进行换乘的行为,明确轨道交通新开后对公共交通的影响范围,并预测换乘的公共交通供需变化,作为线网调整优化的依据,并在项目应用中得到较好的应用。该模型可用于轨道交通开通后公共交通线网优化的实际工作中。

Taking the optimization planning of the ground bus network after the opening of Suzhou rail transit Line 5 as an example,a robust framework of interchange behavior analysis and service area estimation is proposed based on multi-data resources.IC data of railways and buses,together with mobile phone big data are driven to analyze(potential)interchanging characteristics,so that the bus influential area impacted by newly open railway could be determined and interchange-supply and demands could be weighed and received good feedback in the case study.The results serves the bus route optimization process after new railway line is opened.