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

作　　者：顾天奇 邓雄成 陈敏 庄楚天 李晋 GU Tianqi;DENG Xiongcheng;CHEN Min;ZHUANG Chutian;LI Jin(CCDI(SuZhou)Exploration&Design Consultant Co.,Ltd,Suzhou 215123,China;Institute of Transport Studies,Department of Civil Engineering,Melbourne 3800,Australia;Transportation Bureau of Suzhou,Suzhou 215000,China)

机构地区：[1]悉地(苏州)勘察设计顾问有限公司,苏州215123 [2]蒙纳士大学土木工程学院交通研究所,墨尔本3800 [3]苏州市交通运输局综合计划处,苏州215000

出　　处：《交通与运输》2021年第6期6-10,共5页Traffic & Transportation

摘　　要：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.

关 键 词：轨道交通 公交线网 换乘行为 大数据 换乘特征 服务范围 

分 类 号：U491[交通运输工程—交通运输规划与管理]